diff --git a/README.md b/README.md
index 3b7d2ad4c4..ffd2e0c542 100644
--- a/README.md
+++ b/README.md
@@ -108,13 +108,14 @@ you can try starting `dream.py` with the `--precision=float32` flag:
 - [Image To Image](docs/features/IMG2IMG.md)
 - [Inpainting Support](docs/features/INPAINTING.md)
 - [Outpainting Support](docs/features/OUTPAINTING.md)
-- [GFPGAN and Real-ESRGAN Support](docs/features/UPSCALE.md)
+- [Upscaling, face-restoration and outpainting](docs/features/POSTPROCESS.md)
 - [Seamless Tiling](docs/features/OTHER.md#seamless-tiling)
 - [Google Colab](docs/features/OTHER.md#google-colab)
 - [Web Server](docs/features/WEB.md)
 - [Reading Prompts From File](docs/features/PROMPTS.md#reading-prompts-from-a-file)
 - [Shortcut: Reusing Seeds](docs/features/OTHER.md#shortcuts-reusing-seeds)
 - [Weighted Prompts](docs/features/PROMPTS.md#weighted-prompts)
+- [Thresholding and Perlin Noise Initialization Options](/docs/features/OTHER.md#thresholding-and-perlin-noise-initialization-options)
 - [Negative/Unconditioned Prompts](docs/features/PROMPTS.md#negative-and-unconditioned-prompts)
 - [Variations](docs/features/VARIATIONS.md)
 - [Personalizing Text-to-Image Generation](docs/features/TEXTUAL_INVERSION.md)
diff --git a/backend/invoke_ai_web_server.py b/backend/invoke_ai_web_server.py
index 56696e6b5c..dced69f72f 100644
--- a/backend/invoke_ai_web_server.py
+++ b/backend/invoke_ai_web_server.py
@@ -3,6 +3,8 @@ import glob
 import os
 import shutil
 import mimetypes
+import traceback
+import math
 
 from flask import Flask, redirect, send_from_directory
 from flask_socketio import SocketIO
@@ -16,6 +18,7 @@ from ldm.dream.conditioning import split_weighted_subprompts
 
 from backend.modules.parameters import parameters_to_command
 
+
 # Loading Arguments
 opt = Args()
 args = opt.parse_args()
@@ -39,25 +42,25 @@ class InvokeAIWebServer:
 
     def setup_flask(self):
         # Fix missing mimetypes on Windows
-        mimetypes.add_type("application/javascript", ".js")
-        mimetypes.add_type("text/css", ".css")
+        mimetypes.add_type('application/javascript', '.js')
+        mimetypes.add_type('text/css', '.css')
         # Socket IO
         logger = True if args.web_verbose else False
         engineio_logger = True if args.web_verbose else False
         max_http_buffer_size = 10000000
 
         # CORS Allowed Setup
-        cors_allowed_origins = ['http://127.0.0.1:5173', 'http://localhost:5173']
+        cors_allowed_origins = [
+            'http://127.0.0.1:5173',
+            'http://localhost:5173',
+            'http://localhost:9090'
+        ]
         additional_allowed_origins = (
             opt.cors if opt.cors else []
         )  # additional CORS allowed origins
-        if self.host == '127.0.0.1':
-            cors_allowed_origins.extend(
-                [
-                    f'http://{self.host}:{self.port}',
-                    f'http://localhost:{self.port}',
-                ]
-            )
+        cors_allowed_origins.append(f'http://{self.host}:{self.port}')
+        if self.host == '127.0.0.1' or self.host == '0.0.0.0':
+            cors_allowed_origins.append(f'http://localhost:{self.port}')
         cors_allowed_origins = (
             cors_allowed_origins + additional_allowed_origins
         )
@@ -76,6 +79,10 @@ class InvokeAIWebServer:
             ping_timeout=60,
         )
 
+        # Keep Server Alive Route
+        @self.app.route('/flaskwebgui-keep-server-alive')
+        def keep_alive():
+            return {'message': 'Server Running'}
 
         # Outputs Route
         self.app.config['OUTPUTS_FOLDER'] = os.path.abspath(args.outdir)
@@ -86,7 +93,6 @@ class InvokeAIWebServer:
                 self.app.config['OUTPUTS_FOLDER'], file_path
             )
 
-
         # Base Route
         @self.app.route('/')
         def serve():
@@ -99,18 +105,42 @@ class InvokeAIWebServer:
 
         self.load_socketio_listeners(self.socketio)
 
-        print('>> Started Invoke AI Web Server!')
-        if self.host == '0.0.0.0':
-            print(
-                f"Point your browser at http://localhost:{self.port} or use the host's DNS name or IP address."
-            )
-        else:
-            print(
-                '>> Default host address now 127.0.0.1 (localhost). Use --host 0.0.0.0 to bind any address.'
-            )
-            print(f'>> Point your browser at http://{self.host}:{self.port}')
+        if args.gui:
+            print('>> Launching Invoke AI GUI')
+            close_server_on_exit = True
+            if args.web_develop:
+                close_server_on_exit = False
+            try:
+                from flaskwebgui import FlaskUI
+                FlaskUI(
+                    app=self.app,
+                    socketio=self.socketio,
+                    start_server='flask-socketio',
+                    host=self.host,
+                    port=self.port,
+                    width=1600,
+                    height=1000,
+                    idle_interval=10,
+                    close_server_on_exit=close_server_on_exit,
+                ).run()
+            except KeyboardInterrupt:
+                import sys
 
-        self.socketio.run(app=self.app, host=self.host, port=self.port)
+                sys.exit(0)
+        else:
+            print('>> Started Invoke AI Web Server!')
+            if self.host == '0.0.0.0':
+                print(
+                    f"Point your browser at http://localhost:{self.port} or use the host's DNS name or IP address."
+                )
+            else:
+                print(
+                    '>> Default host address now 127.0.0.1 (localhost). Use --host 0.0.0.0 to bind any address.'
+                )
+                print(
+                    f'>> Point your browser at http://{self.host}:{self.port}'
+                )
+            self.socketio.run(app=self.app, host=self.host, port=self.port)
 
     def setup_app(self):
         self.result_url = 'outputs/'
@@ -146,276 +176,276 @@ class InvokeAIWebServer:
             config = self.get_system_config()
             socketio.emit('systemConfig', config)
 
-        @socketio.on('requestImages')
-        def handle_request_images(page=1, offset=0, last_mtime=None):
-            chunk_size = 50
+        @socketio.on('requestLatestImages')
+        def handle_request_latest_images(latest_mtime):
+            try:
+                paths = glob.glob(os.path.join(self.result_path, '*.png'))
 
-            if last_mtime:
-                print(f'>> Latest images requested')
-            else:
-                print(
-                    f'>> Page {page} of images requested (page size {chunk_size} offset {offset})'
+                image_paths = sorted(
+                    paths, key=lambda x: os.path.getmtime(x), reverse=True
                 )
 
-            paths = glob.glob(os.path.join(self.result_path, '*.png'))
-            sorted_paths = sorted(
-                paths, key=lambda x: os.path.getmtime(x), reverse=True
-            )
-
-            if last_mtime:
-                image_paths = filter(
-                    lambda x: os.path.getmtime(x) > last_mtime, sorted_paths
-                )
-            else:
-
-                image_paths = sorted_paths[
-                    slice(
-                        chunk_size * (page - 1) + offset,
-                        chunk_size * page + offset,
+                image_paths = list(
+                    filter(
+                        lambda x: os.path.getmtime(x) > latest_mtime,
+                        image_paths,
                     )
-                ]
-                page = page + 1
-
-            image_array = []
-
-            for path in image_paths:
-                metadata = retrieve_metadata(path)
-                image_array.append(
-                    {
-                        'url': self.get_url_from_image_path(path),
-                        'mtime': os.path.getmtime(path),
-                        'metadata': metadata['sd-metadata'],
-                    }
                 )
 
-            socketio.emit(
-                'galleryImages',
-                {
-                    'images': image_array,
-                    'nextPage': page,
-                    'offset': offset,
-                    'onlyNewImages': True if last_mtime else False,
-                },
-            )
+                image_array = []
+
+                for path in image_paths:
+                    metadata = retrieve_metadata(path)
+                    image_array.append(
+                        {
+                            'url': self.get_url_from_image_path(path),
+                            'mtime': os.path.getmtime(path),
+                            'metadata': metadata['sd-metadata'],
+                        }
+                    )
+
+                socketio.emit(
+                    'galleryImages',
+                    {
+                        'images': image_array,
+                    },
+                )
+            except Exception as e:
+                self.socketio.emit('error', {'message': (str(e))})
+                print('\n')
+
+                traceback.print_exc()
+                print('\n')
+
+        @socketio.on('requestImages')
+        def handle_request_images(earliest_mtime=None):
+            try:
+                page_size = 50
+
+                paths = glob.glob(os.path.join(self.result_path, '*.png'))
+
+                image_paths = sorted(
+                    paths, key=lambda x: os.path.getmtime(x), reverse=True
+                )
+
+                if earliest_mtime:
+                    image_paths = list(
+                        filter(
+                            lambda x: os.path.getmtime(x) < earliest_mtime,
+                            image_paths,
+                        )
+                    )
+
+                areMoreImagesAvailable = len(image_paths) >= page_size
+                image_paths = image_paths[slice(0, page_size)]
+
+                image_array = []
+
+                for path in image_paths:
+                    metadata = retrieve_metadata(path)
+                    image_array.append(
+                        {
+                            'url': self.get_url_from_image_path(path),
+                            'mtime': os.path.getmtime(path),
+                            'metadata': metadata['sd-metadata'],
+                        }
+                    )
+
+                socketio.emit(
+                    'galleryImages',
+                    {
+                        'images': image_array,
+                        'areMoreImagesAvailable': areMoreImagesAvailable,
+                    },
+                )
+            except Exception as e:
+                self.socketio.emit('error', {'message': (str(e))})
+                print('\n')
+
+                traceback.print_exc()
+                print('\n')
 
         @socketio.on('generateImage')
         def handle_generate_image_event(
             generation_parameters, esrgan_parameters, gfpgan_parameters
         ):
-            print(
-                f'>> Image generation requested: {generation_parameters}\nESRGAN parameters: {esrgan_parameters}\nGFPGAN parameters: {gfpgan_parameters}'
-            )
-            self.generate_images(
-                generation_parameters, esrgan_parameters, gfpgan_parameters
-            )
+            try:
+                print(
+                    f'>> Image generation requested: {generation_parameters}\nESRGAN parameters: {esrgan_parameters}\nGFPGAN parameters: {gfpgan_parameters}'
+                )
+                self.generate_images(
+                    generation_parameters, esrgan_parameters, gfpgan_parameters
+                )
+            except Exception as e:
+                self.socketio.emit('error', {'message': (str(e))})
+                print('\n')
 
-        @socketio.on('runESRGAN')
-        def handle_run_esrgan_event(original_image, esrgan_parameters):
-            print(
-                f'>> ESRGAN upscale requested for "{original_image["url"]}": {esrgan_parameters}'
-            )
-            progress = {
-                'currentStep': 1,
-                'totalSteps': 1,
-                'currentIteration': 1,
-                'totalIterations': 1,
-                'currentStatus': 'Preparing',
-                'isProcessing': True,
-                'currentStatusHasSteps': False,
-            }
+                traceback.print_exc()
+                print('\n')
 
-            socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
+        @socketio.on('runPostprocessing')
+        def handle_run_postprocessing(
+            original_image, postprocessing_parameters
+        ):
+            try:
+                print(
+                    f'>> Postprocessing requested for "{original_image["url"]}": {postprocessing_parameters}'
+                )
 
-            original_image_path = self.get_image_path_from_url(original_image['url'])
-            # os.path.join(self.result_path, os.path.basename(original_image['url']))
+                progress = Progress()
 
-            image = Image.open(original_image_path)
+                socketio.emit('progressUpdate', progress.to_formatted_dict())
+                eventlet.sleep(0)
 
-            seed = (
-                original_image['metadata']['seed']
-                if 'seed' in original_image['metadata']
-                else 'unknown_seed'
-            )
+                original_image_path = self.get_image_path_from_url(
+                    original_image['url']
+                )
 
-            progress['currentStatus'] = 'Upscaling'
-            socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
+                image = Image.open(original_image_path)
 
-            image = self.esrgan.process(
-                image=image,
-                upsampler_scale=esrgan_parameters['upscale'][0],
-                strength=esrgan_parameters['upscale'][1],
-                seed=seed,
-            )
+                seed = (
+                    original_image['metadata']['seed']
+                    if 'seed' in original_image['metadata']
+                    else 'unknown_seed'
+                )
 
-            progress['currentStatus'] = 'Saving image'
-            socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
+                if postprocessing_parameters['type'] == 'esrgan':
+                    progress.set_current_status('Upscaling')
+                elif postprocessing_parameters['type'] == 'gfpgan':
+                    progress.set_current_status('Restoring Faces')
 
-            esrgan_parameters['seed'] = seed
-            metadata = self.parameters_to_post_processed_image_metadata(
-                parameters=esrgan_parameters,
-                original_image_path=original_image_path,
-                type='esrgan',
-            )
-            command = parameters_to_command(esrgan_parameters)
+                socketio.emit('progressUpdate', progress.to_formatted_dict())
+                eventlet.sleep(0)
 
-            path = self.save_image(
-                image,
-                command,
-                metadata,
-                self.result_path,
-                postprocessing='esrgan',
-            )
+                if postprocessing_parameters['type'] == 'esrgan':
+                    image = self.esrgan.process(
+                        image=image,
+                        upsampler_scale=postprocessing_parameters['upscale'][
+                            0
+                        ],
+                        strength=postprocessing_parameters['upscale'][1],
+                        seed=seed,
+                    )
+                elif postprocessing_parameters['type'] == 'gfpgan':
+                    image = self.gfpgan.process(
+                        image=image,
+                        strength=postprocessing_parameters['gfpgan_strength'],
+                        seed=seed,
+                    )
+                else:
+                    raise TypeError(
+                        f'{postprocessing_parameters["type"]} is not a valid postprocessing type'
+                    )
 
-            self.write_log_message(
-                f'[Upscaled] "{original_image_path}" > "{path}": {command}'
-            )
+                progress.set_current_status('Saving Image')
+                socketio.emit('progressUpdate', progress.to_formatted_dict())
+                eventlet.sleep(0)
 
-            progress['currentStatus'] = 'Finished'
-            progress['currentStep'] = 0
-            progress['totalSteps'] = 0
-            progress['currentIteration'] = 0
-            progress['totalIterations'] = 0
-            progress['isProcessing'] = False
-            socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
+                postprocessing_parameters['seed'] = seed
+                metadata = self.parameters_to_post_processed_image_metadata(
+                    parameters=postprocessing_parameters,
+                    original_image_path=original_image_path,
+                )
 
-            socketio.emit(
-                'esrganResult',
-                {
-                    'url': self.get_url_from_image_path(path),
-                    'mtime': os.path.getmtime(path),
-                    'metadata': metadata,
-                },
-            )
+                command = parameters_to_command(postprocessing_parameters)
 
-        @socketio.on('runGFPGAN')
-        def handle_run_gfpgan_event(original_image, gfpgan_parameters):
-            print(
-                f'>> GFPGAN face fix requested for "{original_image["url"]}": {gfpgan_parameters}'
-            )
-            progress = {
-                'currentStep': 1,
-                'totalSteps': 1,
-                'currentIteration': 1,
-                'totalIterations': 1,
-                'currentStatus': 'Preparing',
-                'isProcessing': True,
-                'currentStatusHasSteps': False,
-            }
+                path = self.save_result_image(
+                    image,
+                    command,
+                    metadata,
+                    self.result_path,
+                    postprocessing=postprocessing_parameters['type'],
+                )
 
-            socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
+                self.write_log_message(
+                    f'[Postprocessed] "{original_image_path}" > "{path}": {postprocessing_parameters}'
+                )
 
-            original_image_path = self.get_image_path_from_url(original_image['url'])
+                progress.mark_complete()
+                socketio.emit('progressUpdate', progress.to_formatted_dict())
+                eventlet.sleep(0)
 
-            image = Image.open(original_image_path)
+                socketio.emit(
+                    'postprocessingResult',
+                    {
+                        'url': self.get_url_from_image_path(path),
+                        'mtime': os.path.getmtime(path),
+                        'metadata': metadata,
+                    },
+                )
+            except Exception as e:
+                self.socketio.emit('error', {'message': (str(e))})
+                print('\n')
 
-            seed = (
-                original_image['metadata']['seed']
-                if 'seed' in original_image['metadata']
-                else 'unknown_seed'
-            )
-
-            progress['currentStatus'] = 'Fixing faces'
-            socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
-
-            image = self.gfpgan.process(
-                image=image,
-                strength=gfpgan_parameters['gfpgan_strength'],
-                seed=seed,
-            )
-
-            progress['currentStatus'] = 'Saving image'
-            socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
-
-            gfpgan_parameters['seed'] = seed
-            metadata = self.parameters_to_post_processed_image_metadata(
-                parameters=gfpgan_parameters,
-                original_image_path=original_image_path,
-                type='gfpgan',
-            )
-            command = parameters_to_command(gfpgan_parameters)
-
-            path = self.save_image(
-                image,
-                command,
-                metadata,
-                self.result_path,
-                postprocessing='gfpgan',
-            )
-
-            self.write_log_message(
-                f'[Fixed faces] "{original_image_path}" > "{path}": {command}'
-            )
-
-            progress['currentStatus'] = 'Finished'
-            progress['currentStep'] = 0
-            progress['totalSteps'] = 0
-            progress['currentIteration'] = 0
-            progress['totalIterations'] = 0
-            progress['isProcessing'] = False
-            socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
-
-            socketio.emit(
-                'gfpganResult',
-                {
-                    'url': self.get_url_from_image_path(path),
-                    'mtime': os.path.getmtime(path),
-                    'metadata': metadata,
-                },
-            )
+                traceback.print_exc()
+                print('\n')
 
         @socketio.on('cancel')
         def handle_cancel():
             print(f'>> Cancel processing requested')
             self.canceled.set()
-            socketio.emit('processingCanceled')
 
         # TODO: I think this needs a safety mechanism.
         @socketio.on('deleteImage')
-        def handle_delete_image(path, uuid):
-            print(f'>> Delete requested "{path}"')
-            from send2trash import send2trash
+        def handle_delete_image(url, uuid):
+            try:
+                print(f'>> Delete requested "{url}"')
+                from send2trash import send2trash
 
-            path = self.get_image_path_from_url(path)
-            send2trash(path)
-            socketio.emit('imageDeleted', {'url': path, 'uuid': uuid})
+                path = self.get_image_path_from_url(url)
+                send2trash(path)
+                socketio.emit('imageDeleted', {'url': url, 'uuid': uuid})
+            except Exception as e:
+                self.socketio.emit('error', {'message': (str(e))})
+                print('\n')
+
+                traceback.print_exc()
+                print('\n')
 
         # TODO: I think this needs a safety mechanism.
         @socketio.on('uploadInitialImage')
         def handle_upload_initial_image(bytes, name):
-            print(f'>> Init image upload requested "{name}"')
-            uuid = uuid4().hex
-            split = os.path.splitext(name)
-            name = f'{split[0]}.{uuid}{split[1]}'
-            file_path = os.path.join(self.init_image_path, name)
-            os.makedirs(os.path.dirname(file_path), exist_ok=True)
-            newFile = open(file_path, 'wb')
-            newFile.write(bytes)
+            try:
+                print(f'>> Init image upload requested "{name}"')
+                file_path = self.save_file_unique_uuid_name(
+                    bytes=bytes, name=name, path=self.init_image_path
+                )
 
-            socketio.emit(
-                'initialImageUploaded', {'url': self.get_url_from_image_path(file_path), 'uuid': ''}
-            )
+                socketio.emit(
+                    'initialImageUploaded',
+                    {
+                        'url': self.get_url_from_image_path(file_path),
+                    },
+                )
+            except Exception as e:
+                self.socketio.emit('error', {'message': (str(e))})
+                print('\n')
+
+                traceback.print_exc()
+                print('\n')
 
         # TODO: I think this needs a safety mechanism.
         @socketio.on('uploadMaskImage')
         def handle_upload_mask_image(bytes, name):
-            print(f'>> Mask image upload requested "{name}"')
-            uuid = uuid4().hex
-            split = os.path.splitext(name)
-            name = f'{split[0]}.{uuid}{split[1]}'
-            file_path = os.path.join(self.mask_image_path, name)
-            os.makedirs(os.path.dirname(file_path), exist_ok=True)
-            newFile = open(file_path, 'wb')
-            newFile.write(bytes)
+            try:
+                print(f'>> Mask image upload requested "{name}"')
 
-            socketio.emit('maskImageUploaded', {'url': self.get_url_from_image_path(file_path), 'uuid': ''})
+                file_path = self.save_file_unique_uuid_name(
+                    bytes=bytes, name=name, path=self.mask_image_path
+                )
+
+                socketio.emit(
+                    'maskImageUploaded',
+                    {
+                        'url': self.get_url_from_image_path(file_path),
+                    },
+                )
+            except Exception as e:
+                self.socketio.emit('error', {'message': (str(e))})
+                print('\n')
+
+                traceback.print_exc()
+                print('\n')
 
     # App Functions
     def get_system_config(self):
@@ -430,244 +460,239 @@ class InvokeAIWebServer:
     def generate_images(
         self, generation_parameters, esrgan_parameters, gfpgan_parameters
     ):
-        self.canceled.clear()
+        try:
+            self.canceled.clear()
 
-        step_index = 1
-        prior_variations = (
-            generation_parameters['with_variations']
-            if 'with_variations' in generation_parameters
-            else []
-        )
+            step_index = 1
+            prior_variations = (
+                generation_parameters['with_variations']
+                if 'with_variations' in generation_parameters
+                else []
+            )
 
-        """
-        TODO: RE-IMPLEMENT THE COMMENTED-OUT CODE
-        If a result image is used as an init image, and then deleted, we will want to be
-        able to use it as an init image in the future. Need to copy it.
+            """
+            TODO:
+            If a result image is used as an init image, and then deleted, we will want to be
+            able to use it as an init image in the future. Need to handle this case.
+            """
 
-        If the init/mask image doesn't exist in the init_image_path/mask_image_path,
-        make a unique filename for it and copy it there.
-        """
-        # if 'init_img' in generation_parameters:
-        #     filename = os.path.basename(generation_parameters['init_img'])
-        #     abs_init_image_path = os.path.join(self.init_image_path, filename)
-        #     if not os.path.exists(
-        #         abs_init_image_path
-        #     ):
-        #         unique_filename = self.make_unique_init_image_filename(
-        #             filename
-        #         )
-        #         new_path = os.path.join(self.init_image_path, unique_filename)
-        #         shutil.copy(abs_init_image_path, new_path)
-        #         generation_parameters['init_img'] = os.path.abspath(new_path)
-        #     else:
-        #         generation_parameters['init_img'] = os.path.abspath(os.path.join(self.init_image_path, filename))
+            # We need to give absolute paths to the generator, stash the URLs for later
+            init_img_url = None
+            mask_img_url = None
 
-        #     if 'init_mask' in generation_parameters:
-        #         filename = os.path.basename(generation_parameters['init_mask'])
-        #         if not os.path.exists(
-        #             os.path.join(self.mask_image_path, filename)
-        #         ):
-        #             unique_filename = self.make_unique_init_image_filename(
-        #                 filename
-        #             )
-        #             new_path = os.path.join(
-        #                 self.init_image_path, unique_filename
-        #             )
-        #             shutil.copy(generation_parameters['init_img'], new_path)
-        #             generation_parameters['init_mask'] = os.path.abspath(new_path)
-        #         else:
-        #             generation_parameters['init_mas'] = os.path.abspath(os.path.join(self.mask_image_path, filename))
+            if 'init_img' in generation_parameters:
+                init_img_url = generation_parameters['init_img']
+                generation_parameters[
+                    'init_img'
+                ] = self.get_image_path_from_url(
+                    generation_parameters['init_img']
+                )
 
+            if 'init_mask' in generation_parameters:
+                mask_img_url = generation_parameters['init_mask']
+                generation_parameters[
+                    'init_mask'
+                ] = self.get_image_path_from_url(
+                    generation_parameters['init_mask']
+                )
 
-        # We need to give absolute paths to the generator, stash the URLs for later
-        init_img_url =  None;
-        mask_img_url =  None;
+            totalSteps = self.calculate_real_steps(
+                steps=generation_parameters['steps'],
+                strength=generation_parameters['strength']
+                if 'strength' in generation_parameters
+                else None,
+                has_init_image='init_img' in generation_parameters,
+            )
 
-        if 'init_img' in generation_parameters:
-            init_img_url = generation_parameters['init_img']
-            generation_parameters['init_img'] = self.get_image_path_from_url(generation_parameters['init_img'])
+            progress = Progress(generation_parameters=generation_parameters)
 
-        if 'init_mask' in generation_parameters:
-            mask_img_url = generation_parameters['init_mask']
-            generation_parameters['init_mask'] = self.get_image_path_from_url(generation_parameters['init_mask'])
+            self.socketio.emit('progressUpdate', progress.to_formatted_dict())
+            eventlet.sleep(0)
 
-        totalSteps = self.calculate_real_steps(
-            steps=generation_parameters['steps'],
-            strength=generation_parameters['strength']
-            if 'strength' in generation_parameters
-            else None,
-            has_init_image='init_img' in generation_parameters,
-        )
+            def image_progress(sample, step):
+                if self.canceled.is_set():
+                    raise CanceledException
 
-        progress = {
-            'currentStep': 1,
-            'totalSteps': totalSteps,
-            'currentIteration': 1,
-            'totalIterations': generation_parameters['iterations'],
-            'currentStatus': 'Preparing',
-            'isProcessing': True,
-            'currentStatusHasSteps': False,
-        }
+                nonlocal step_index
+                nonlocal generation_parameters
+                nonlocal progress
 
-        self.socketio.emit('progressUpdate', progress)
-        eventlet.sleep(0)
+                progress.set_current_step(step + 1)
+                progress.set_current_status('Generating')
+                progress.set_current_status_has_steps(True)
 
-        def image_progress(sample, step):
-            if self.canceled.is_set():
-                raise CanceledException
+                if (
+                    generation_parameters['progress_images']
+                    and step % 5 == 0
+                    and step < generation_parameters['steps'] - 1
+                ):
+                    image = self.generate.sample_to_image(sample)
+                    metadata = self.parameters_to_generated_image_metadata(
+                        generation_parameters
+                    )
+                    command = parameters_to_command(generation_parameters)
 
-            nonlocal step_index
-            nonlocal generation_parameters
-            nonlocal progress
+                    path = self.save_result_image(
+                        image,
+                        command,
+                        metadata,
+                        self.intermediate_path,
+                        step_index=step_index,
+                        postprocessing=False,
+                    )
 
-            progress['currentStep'] = step + 1
-            progress['currentStatus'] = 'Generating'
-            progress['currentStatusHasSteps'] = True
-
-            if (
-                generation_parameters['progress_images']
-                and step % 5 == 0
-                and step < generation_parameters['steps'] - 1
-            ):
-                image = self.generate.sample_to_image(sample)
-                metadata = self.parameters_to_generated_image_metadata(generation_parameters)
-                command = parameters_to_command(generation_parameters)
-
-                path = self.save_image(image, command, metadata, self.intermediate_path, step_index=step_index, postprocessing=False)
-
-                step_index += 1
+                    step_index += 1
+                    self.socketio.emit(
+                        'intermediateResult',
+                        {
+                            'url': self.get_url_from_image_path(path),
+                            'mtime': os.path.getmtime(path),
+                            'metadata': metadata,
+                        },
+                    )
                 self.socketio.emit(
-                    'intermediateResult',
+                    'progressUpdate', progress.to_formatted_dict()
+                )
+                eventlet.sleep(0)
+
+            def image_done(image, seed, first_seed):
+                if self.canceled.is_set():
+                    raise CanceledException
+
+                nonlocal generation_parameters
+                nonlocal esrgan_parameters
+                nonlocal gfpgan_parameters
+                nonlocal progress
+
+                step_index = 1
+                nonlocal prior_variations
+
+                progress.set_current_status('Generation Complete')
+
+                self.socketio.emit(
+                    'progressUpdate', progress.to_formatted_dict()
+                )
+                eventlet.sleep(0)
+
+                all_parameters = generation_parameters
+                postprocessing = False
+
+                if (
+                    'variation_amount' in all_parameters
+                    and all_parameters['variation_amount'] > 0
+                ):
+                    first_seed = first_seed or seed
+                    this_variation = [
+                        [seed, all_parameters['variation_amount']]
+                    ]
+                    all_parameters['with_variations'] = (
+                        prior_variations + this_variation
+                    )
+                    all_parameters['seed'] = first_seed
+                elif 'with_variations' in all_parameters:
+                    all_parameters['seed'] = first_seed
+                else:
+                    all_parameters['seed'] = seed
+
+                if self.canceled.is_set():
+                    raise CanceledException
+
+                if esrgan_parameters:
+                    progress.set_current_status('Upscaling')
+                    progress.set_current_status_has_steps(False)
+                    self.socketio.emit(
+                        'progressUpdate', progress.to_formatted_dict()
+                    )
+                    eventlet.sleep(0)
+
+                    image = self.esrgan.process(
+                        image=image,
+                        upsampler_scale=esrgan_parameters['level'],
+                        strength=esrgan_parameters['strength'],
+                        seed=seed,
+                    )
+
+                    postprocessing = True
+                    all_parameters['upscale'] = [
+                        esrgan_parameters['level'],
+                        esrgan_parameters['strength'],
+                    ]
+
+                if self.canceled.is_set():
+                    raise CanceledException
+
+                if gfpgan_parameters:
+                    progress.set_current_status('Restoring Faces')
+                    progress.set_current_status_has_steps(False)
+                    self.socketio.emit(
+                        'progressUpdate', progress.to_formatted_dict()
+                    )
+                    eventlet.sleep(0)
+
+                    image = self.gfpgan.process(
+                        image=image,
+                        strength=gfpgan_parameters['strength'],
+                        seed=seed,
+                    )
+                    postprocessing = True
+                    all_parameters['gfpgan_strength'] = gfpgan_parameters[
+                        'strength'
+                    ]
+
+                progress.set_current_status('Saving Image')
+                self.socketio.emit(
+                    'progressUpdate', progress.to_formatted_dict()
+                )
+                eventlet.sleep(0)
+
+                # restore the stashed URLS and discard the paths, we are about to send the result to client
+                if 'init_img' in all_parameters:
+                    all_parameters['init_img'] = init_img_url
+
+                if 'init_mask' in all_parameters:
+                    all_parameters['init_mask'] = mask_img_url
+
+                metadata = self.parameters_to_generated_image_metadata(
+                    all_parameters
+                )
+
+                command = parameters_to_command(all_parameters)
+
+                path = self.save_result_image(
+                    image,
+                    command,
+                    metadata,
+                    self.result_path,
+                    postprocessing=postprocessing,
+                )
+
+                print(f'>> Image generated: "{path}"')
+                self.write_log_message(f'[Generated] "{path}": {command}')
+
+                if progress.total_iterations > progress.current_iteration:
+                    progress.set_current_step(1)
+                    progress.set_current_status('Iteration complete')
+                    progress.set_current_status_has_steps(False)
+                else:
+                    progress.mark_complete()
+
+                self.socketio.emit(
+                    'progressUpdate', progress.to_formatted_dict()
+                )
+                eventlet.sleep(0)
+
+                self.socketio.emit(
+                    'generationResult',
                     {
                         'url': self.get_url_from_image_path(path),
                         'mtime': os.path.getmtime(path),
                         'metadata': metadata,
                     },
                 )
-            self.socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
-
-        def image_done(image, seed, first_seed):
-            nonlocal generation_parameters
-            nonlocal esrgan_parameters
-            nonlocal gfpgan_parameters
-            nonlocal progress
-
-            step_index = 1
-            nonlocal prior_variations
-
-            progress['currentStatus'] = 'Generation complete'
-            self.socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
-
-            all_parameters = generation_parameters
-            postprocessing = False
-
-            if (
-                'variation_amount' in all_parameters
-                and all_parameters['variation_amount'] > 0
-            ):
-                first_seed = first_seed or seed
-                this_variation = [[seed, all_parameters['variation_amount']]]
-                all_parameters['with_variations'] = (
-                    prior_variations + this_variation
-                )
-                all_parameters['seed'] = first_seed
-            elif 'with_variations' in all_parameters:
-                all_parameters['seed'] = first_seed
-            else:
-                all_parameters['seed'] = seed
-
-            if esrgan_parameters:
-                progress['currentStatus'] = 'Upscaling'
-                progress['currentStatusHasSteps'] = False
-                self.socketio.emit('progressUpdate', progress)
                 eventlet.sleep(0)
 
-                image = self.esrgan.process(
-                    image=image,
-                    upsampler_scale=esrgan_parameters['level'],
-                    strength=esrgan_parameters['strength'],
-                    seed=seed,
-                )
+                progress.set_current_iteration(progress.current_iteration + 1)
 
-                postprocessing = True
-                all_parameters['upscale'] = [
-                    esrgan_parameters['level'],
-                    esrgan_parameters['strength'],
-                ]
-
-            if gfpgan_parameters:
-                progress['currentStatus'] = 'Fixing faces'
-                progress['currentStatusHasSteps'] = False
-                self.socketio.emit('progressUpdate', progress)
-                eventlet.sleep(0)
-
-                image = self.gfpgan.process(
-                    image=image,
-                    strength=gfpgan_parameters['strength'],
-                    seed=seed,
-                )
-                postprocessing = True
-                all_parameters['gfpgan_strength'] = gfpgan_parameters[
-                    'strength'
-                ]
-
-            progress['currentStatus'] = 'Saving image'
-            self.socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
-
-            # restore the stashed URLS and discard the paths, we are about to send the result to client
-            if 'init_img' in all_parameters:
-                all_parameters['init_img'] = init_img_url
-
-            if 'init_mask' in all_parameters:
-                all_parameters['init_mask'] = mask_img_url
-
-            metadata = self.parameters_to_generated_image_metadata(
-                all_parameters
-            )
-
-            command = parameters_to_command(all_parameters)
-
-            path = self.save_image(
-                image,
-                command,
-                metadata,
-                self.result_path,
-                postprocessing=postprocessing,
-            )
-
-            print(f'>> Image generated: "{path}"')
-            self.write_log_message(f'[Generated] "{path}": {command}')
-
-            if progress['totalIterations'] > progress['currentIteration']:
-                progress['currentStep'] = 1
-                progress['currentIteration'] += 1
-                progress['currentStatus'] = 'Iteration finished'
-                progress['currentStatusHasSteps'] = False
-            else:
-                progress['currentStep'] = 0
-                progress['totalSteps'] = 0
-                progress['currentIteration'] = 0
-                progress['totalIterations'] = 0
-                progress['currentStatus'] = 'Finished'
-                progress['isProcessing'] = False
-
-            self.socketio.emit('progressUpdate', progress)
-            eventlet.sleep(0)
-
-            self.socketio.emit(
-                'generationResult',
-                {
-                    'url': self.get_url_from_image_path(path),
-                    'mtime': os.path.getmtime(path),
-                    'metadata': metadata,
-                },
-            )
-            eventlet.sleep(0)
-
-        try:
             self.generate.prompt2image(
                 **generation_parameters,
                 step_callback=image_progress,
@@ -677,133 +702,177 @@ class InvokeAIWebServer:
         except KeyboardInterrupt:
             raise
         except CanceledException:
+            self.socketio.emit('processingCanceled')
             pass
         except Exception as e:
+            print(e)
             self.socketio.emit('error', {'message': (str(e))})
             print('\n')
-            import traceback
 
             traceback.print_exc()
             print('\n')
 
     def parameters_to_generated_image_metadata(self, parameters):
-        # top-level metadata minus `image` or `images`
-        metadata = self.get_system_config()
-        # remove any image keys not mentioned in RFC #266
-        rfc266_img_fields = [
-            'type',
-            'postprocessing',
-            'sampler',
-            'prompt',
-            'seed',
-            'variations',
-            'steps',
-            'cfg_scale',
-            'step_number',
-            'width',
-            'height',
-            'extra',
-            'seamless',
-        ]
-
-        rfc_dict = {}
-
-        for item in parameters.items():
-            key, value = item
-            if key in rfc266_img_fields:
-                rfc_dict[key] = value
-
-        postprocessing = []
-
-        # 'postprocessing' is either null or an
-        if 'gfpgan_strength' in parameters:
-
-            postprocessing.append(
-                {
-                    'type': 'gfpgan',
-                    'strength': float(parameters['gfpgan_strength']),
-                }
-            )
-
-        if 'upscale' in parameters:
-            postprocessing.append(
-                {
-                    'type': 'esrgan',
-                    'scale': int(parameters['upscale'][0]),
-                    'strength': float(parameters['upscale'][1]),
-                }
-            )
-
-        rfc_dict['postprocessing'] = (
-            postprocessing if len(postprocessing) > 0 else None
-        )
-
-        # semantic drift
-        rfc_dict['sampler'] = parameters['sampler_name']
-
-        # display weighted subprompts (liable to change)
-        subprompts = split_weighted_subprompts(parameters['prompt'])
-        subprompts = [{'prompt': x[0], 'weight': x[1]} for x in subprompts]
-        rfc_dict['prompt'] = subprompts
-
-        # 'variations' should always exist and be an array, empty or consisting of {'seed': seed, 'weight': weight} pairs
-        variations = []
-
-        if 'with_variations' in parameters:
-            variations = [
-                {'seed': x[0], 'weight': x[1]}
-                for x in parameters['with_variations']
+        try:
+            # top-level metadata minus `image` or `images`
+            metadata = self.get_system_config()
+            # remove any image keys not mentioned in RFC #266
+            rfc266_img_fields = [
+                'type',
+                'postprocessing',
+                'sampler',
+                'prompt',
+                'seed',
+                'variations',
+                'steps',
+                'cfg_scale',
+                'threshold',
+                'perlin',
+                'step_number',
+                'width',
+                'height',
+                'extra',
+                'seamless',
             ]
 
-        rfc_dict['variations'] = variations
+            rfc_dict = {}
 
-        if 'init_img' in parameters:
-            rfc_dict['type'] = 'img2img'
-            rfc_dict['strength'] = parameters['strength']
-            rfc_dict['fit'] = parameters['fit']  # TODO: Noncompliant
-            rfc_dict['orig_hash'] = calculate_init_img_hash(self.get_image_path_from_url(parameters['init_img']))
-            rfc_dict['init_image_path'] = parameters[
-                'init_img'
-            ]  # TODO: Noncompliant
-            rfc_dict[
-                'sampler'
-            ] = 'ddim'  # TODO: FIX ME WHEN IMG2IMG SUPPORTS ALL SAMPLERS
-            if 'init_mask' in parameters:
-                rfc_dict['mask_hash'] = calculate_init_img_hash(self.get_image_path_from_url(parameters['init_mask'])) # TODO: Noncompliant
-                rfc_dict['mask_image_path'] = parameters[
-                    'init_mask'
+            for item in parameters.items():
+                key, value = item
+                if key in rfc266_img_fields:
+                    rfc_dict[key] = value
+
+            postprocessing = []
+
+            # 'postprocessing' is either null or an
+            if 'gfpgan_strength' in parameters:
+
+                postprocessing.append(
+                    {
+                        'type': 'gfpgan',
+                        'strength': float(parameters['gfpgan_strength']),
+                    }
+                )
+
+            if 'upscale' in parameters:
+                postprocessing.append(
+                    {
+                        'type': 'esrgan',
+                        'scale': int(parameters['upscale'][0]),
+                        'strength': float(parameters['upscale'][1]),
+                    }
+                )
+
+            rfc_dict['postprocessing'] = (
+                postprocessing if len(postprocessing) > 0 else None
+            )
+
+            # semantic drift
+            rfc_dict['sampler'] = parameters['sampler_name']
+
+            # display weighted subprompts (liable to change)
+            subprompts = split_weighted_subprompts(parameters['prompt'])
+            subprompts = [{'prompt': x[0], 'weight': x[1]} for x in subprompts]
+            rfc_dict['prompt'] = subprompts
+
+            # 'variations' should always exist and be an array, empty or consisting of {'seed': seed, 'weight': weight} pairs
+            variations = []
+
+            if 'with_variations' in parameters:
+                variations = [
+                    {'seed': x[0], 'weight': x[1]}
+                    for x in parameters['with_variations']
+                ]
+
+            rfc_dict['variations'] = variations
+
+            if 'init_img' in parameters:
+                rfc_dict['type'] = 'img2img'
+                rfc_dict['strength'] = parameters['strength']
+                rfc_dict['fit'] = parameters['fit']  # TODO: Noncompliant
+                rfc_dict['orig_hash'] = calculate_init_img_hash(
+                    self.get_image_path_from_url(parameters['init_img'])
+                )
+                rfc_dict['init_image_path'] = parameters[
+                    'init_img'
                 ]  # TODO: Noncompliant
-        else:
-            rfc_dict['type'] = 'txt2img'
+                if 'init_mask' in parameters:
+                    rfc_dict['mask_hash'] = calculate_init_img_hash(
+                        self.get_image_path_from_url(parameters['init_mask'])
+                    )  # TODO: Noncompliant
+                    rfc_dict['mask_image_path'] = parameters[
+                        'init_mask'
+                    ]  # TODO: Noncompliant
+            else:
+                rfc_dict['type'] = 'txt2img'
 
-        metadata['image'] = rfc_dict
+            metadata['image'] = rfc_dict
 
-        return metadata
+            return metadata
+
+        except Exception as e:
+            self.socketio.emit('error', {'message': (str(e))})
+            print('\n')
+
+            traceback.print_exc()
+            print('\n')
 
     def parameters_to_post_processed_image_metadata(
-        self, parameters, original_image_path, type
+        self, parameters, original_image_path
     ):
-        # top-level metadata minus `image` or `images`
-        metadata = self.get_system_config()
+        try:
+            current_metadata = retrieve_metadata(original_image_path)[
+                'sd-metadata'
+            ]
+            postprocessing_metadata = {}
 
-        orig_hash = calculate_init_img_hash(self.get_image_path_from_url(original_image_path))
+            """
+            if we don't have an original image metadata to reconstruct,
+            need to record the original image and its hash
+            """
+            if 'image' not in current_metadata:
+                current_metadata['image'] = {}
 
-        image = {'orig_path': original_image_path, 'orig_hash': orig_hash}
+                orig_hash = calculate_init_img_hash(
+                    self.get_image_path_from_url(original_image_path)
+                )
 
-        if type == 'esrgan':
-            image['type'] = 'esrgan'
-            image['scale'] = parameters['upscale'][0]
-            image['strength'] = parameters['upscale'][1]
-        elif type == 'gfpgan':
-            image['type'] = 'gfpgan'
-            image['strength'] = parameters['gfpgan_strength']
-        else:
-            raise TypeError(f'Invalid type: {type}')
+                postprocessing_metadata['orig_path'] = (original_image_path,)
+                postprocessing_metadata['orig_hash'] = orig_hash
 
-        metadata['image'] = image
-        return metadata
+            if parameters['type'] == 'esrgan':
+                postprocessing_metadata['type'] = 'esrgan'
+                postprocessing_metadata['scale'] = parameters['upscale'][0]
+                postprocessing_metadata['strength'] = parameters['upscale'][1]
+            elif parameters['type'] == 'gfpgan':
+                postprocessing_metadata['type'] = 'gfpgan'
+                postprocessing_metadata['strength'] = parameters[
+                    'gfpgan_strength'
+                ]
+            else:
+                raise TypeError(f"Invalid type: {parameters['type']}")
 
-    def save_image(
+            if 'postprocessing' in current_metadata['image'] and isinstance(
+                current_metadata['image']['postprocessing'], list
+            ):
+                current_metadata['image']['postprocessing'].append(
+                    postprocessing_metadata
+                )
+            else:
+                current_metadata['image']['postprocessing'] = [
+                    postprocessing_metadata
+                ]
+
+            return current_metadata
+
+        except Exception as e:
+            self.socketio.emit('error', {'message': (str(e))})
+            print('\n')
+
+            traceback.print_exc()
+            print('\n')
+
+    def save_result_image(
         self,
         image,
         command,
@@ -812,69 +881,213 @@ class InvokeAIWebServer:
         step_index=None,
         postprocessing=False,
     ):
-        pngwriter = PngWriter(output_dir)
-        prefix = pngwriter.unique_prefix()
+        try:
+            pngwriter = PngWriter(output_dir)
+            prefix = pngwriter.unique_prefix()
 
-        seed = 'unknown_seed'
+            seed = 'unknown_seed'
 
-        if 'image' in metadata:
-            if 'seed' in metadata['image']:
-                seed = metadata['image']['seed']
+            if 'image' in metadata:
+                if 'seed' in metadata['image']:
+                    seed = metadata['image']['seed']
 
-        filename = f'{prefix}.{seed}'
+            filename = f'{prefix}.{seed}'
 
-        if step_index:
-            filename += f'.{step_index}'
-        if postprocessing:
-            filename += f'.postprocessed'
+            if step_index:
+                filename += f'.{step_index}'
+            if postprocessing:
+                filename += f'.postprocessed'
 
-        filename += '.png'
+            filename += '.png'
 
-        path = pngwriter.save_image_and_prompt_to_png(
-            image=image, dream_prompt=command, metadata=metadata, name=filename
-        )
+            path = pngwriter.save_image_and_prompt_to_png(
+                image=image,
+                dream_prompt=command,
+                metadata=metadata,
+                name=filename,
+            )
 
-        return os.path.abspath(path)
+            return os.path.abspath(path)
+
+        except Exception as e:
+            self.socketio.emit('error', {'message': (str(e))})
+            print('\n')
+
+            traceback.print_exc()
+            print('\n')
 
     def make_unique_init_image_filename(self, name):
-        uuid = uuid4().hex
-        split = os.path.splitext(name)
-        name = f'{split[0]}.{uuid}{split[1]}'
-        return name
+        try:
+            uuid = uuid4().hex
+            split = os.path.splitext(name)
+            name = f'{split[0]}.{uuid}{split[1]}'
+            return name
+        except Exception as e:
+            self.socketio.emit('error', {'message': (str(e))})
+            print('\n')
+
+            traceback.print_exc()
+            print('\n')
 
     def calculate_real_steps(self, steps, strength, has_init_image):
         import math
+
         return math.floor(strength * steps) if has_init_image else steps
 
     def write_log_message(self, message):
         """Logs the filename and parameters used to generate or process that image to log file"""
-        message = f'{message}\n'
-        with open(self.log_path, 'a', encoding='utf-8') as file:
-            file.writelines(message)
+        try:
+            message = f'{message}\n'
+            with open(self.log_path, 'a', encoding='utf-8') as file:
+                file.writelines(message)
+
+        except Exception as e:
+            self.socketio.emit('error', {'message': (str(e))})
+            print('\n')
+
+            traceback.print_exc()
+            print('\n')
 
     def get_image_path_from_url(self, url):
         """Given a url to an image used by the client, returns the absolute file path to that image"""
-        if 'init-images' in url:
-            return os.path.abspath(os.path.join(self.init_image_path, os.path.basename(url)))
-        elif 'mask-images' in url:
-            return os.path.abspath(os.path.join(self.mask_image_path, os.path.basename(url)))
-        elif 'intermediates' in url:
-            return os.path.abspath(os.path.join(self.intermediate_path, os.path.basename(url)))
-        else:
-            return os.path.abspath(os.path.join(self.result_path, os.path.basename(url)))
+        try:
+            if 'init-images' in url:
+                return os.path.abspath(
+                    os.path.join(self.init_image_path, os.path.basename(url))
+                )
+            elif 'mask-images' in url:
+                return os.path.abspath(
+                    os.path.join(self.mask_image_path, os.path.basename(url))
+                )
+            elif 'intermediates' in url:
+                return os.path.abspath(
+                    os.path.join(self.intermediate_path, os.path.basename(url))
+                )
+            else:
+                return os.path.abspath(
+                    os.path.join(self.result_path, os.path.basename(url))
+                )
+        except Exception as e:
+            self.socketio.emit('error', {'message': (str(e))})
+            print('\n')
+
+            traceback.print_exc()
+            print('\n')
 
     def get_url_from_image_path(self, path):
         """Given an absolute file path to an image, returns the URL that the client can use to load the image"""
-        if 'init-images' in path:
-            return os.path.join(self.init_image_url, os.path.basename(path))
-        elif 'mask-images' in path:
-            return os.path.join(self.mask_image_url, os.path.basename(path))
-        elif 'intermediates' in path:
-            return os.path.join(self.intermediate_url, os.path.basename(path))
-        else:
-            return os.path.join(self.result_url, os.path.basename(path))
+        try:
+            if 'init-images' in path:
+                return os.path.join(
+                    self.init_image_url, os.path.basename(path)
+                )
+            elif 'mask-images' in path:
+                return os.path.join(
+                    self.mask_image_url, os.path.basename(path)
+                )
+            elif 'intermediates' in path:
+                return os.path.join(
+                    self.intermediate_url, os.path.basename(path)
+                )
+            else:
+                return os.path.join(self.result_url, os.path.basename(path))
+        except Exception as e:
+            self.socketio.emit('error', {'message': (str(e))})
+            print('\n')
 
+            traceback.print_exc()
+            print('\n')
+
+    def save_file_unique_uuid_name(self, bytes, name, path):
+        try:
+            uuid = uuid4().hex
+            split = os.path.splitext(name)
+            name = f'{split[0]}.{uuid}{split[1]}'
+            file_path = os.path.join(path, name)
+            os.makedirs(os.path.dirname(file_path), exist_ok=True)
+            newFile = open(file_path, 'wb')
+            newFile.write(bytes)
+            return file_path
+        except Exception as e:
+            self.socketio.emit('error', {'message': (str(e))})
+            print('\n')
+
+            traceback.print_exc()
+            print('\n')
+
+
+class Progress:
+    def __init__(self, generation_parameters=None):
+        self.current_step = 1
+        self.total_steps = (
+            self._calculate_real_steps(
+                steps=generation_parameters['steps'],
+                strength=generation_parameters['strength']
+                if 'strength' in generation_parameters
+                else None,
+                has_init_image='init_img' in generation_parameters,
+            )
+            if generation_parameters
+            else 1
+        )
+        self.current_iteration = 1
+        self.total_iterations = (
+            generation_parameters['iterations'] if generation_parameters else 1
+        )
+        self.current_status = 'Preparing'
+        self.is_processing = True
+        self.current_status_has_steps = False
+        self.has_error = False
+
+    def set_current_step(self, current_step):
+        self.current_step = current_step
+
+    def set_total_steps(self, total_steps):
+        self.total_steps = total_steps
+
+    def set_current_iteration(self, current_iteration):
+        self.current_iteration = current_iteration
+
+    def set_total_iterations(self, total_iterations):
+        self.total_iterations = total_iterations
+
+    def set_current_status(self, current_status):
+        self.current_status = current_status
+
+    def set_is_processing(self, is_processing):
+        self.is_processing = is_processing
+
+    def set_current_status_has_steps(self, current_status_has_steps):
+        self.current_status_has_steps = current_status_has_steps
+
+    def set_has_error(self, has_error):
+        self.has_error = has_error
+
+    def mark_complete(self):
+        self.current_status = 'Processing Complete'
+        self.current_step = 0
+        self.total_steps = 0
+        self.current_iteration = 0
+        self.total_iterations = 0
+        self.is_processing = False
+
+    def to_formatted_dict(
+        self,
+    ):
+        return {
+            'currentStep': self.current_step,
+            'totalSteps': self.total_steps,
+            'currentIteration': self.current_iteration,
+            'totalIterations': self.total_iterations,
+            'currentStatus': self.current_status,
+            'isProcessing': self.is_processing,
+            'currentStatusHasSteps': self.current_status_has_steps,
+            'hasError': self.has_error,
+        }
+
+    def _calculate_real_steps(self, steps, strength, has_init_image):
+        return math.floor(strength * steps) if has_init_image else steps
 
 
 class CanceledException(Exception):
-    pass
\ No newline at end of file
+    pass
diff --git a/backend/server.py b/backend/server.py
index de4397502a..d0977b9dc3 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -486,6 +486,8 @@ def parameters_to_generated_image_metadata(parameters):
         "variations",
         "steps",
         "cfg_scale",
+        "threshold",
+        "perlin",
         "step_number",
         "width",
         "height",
diff --git a/configs/stable-diffusion/v1-finetune.yaml b/configs/stable-diffusion/v1-finetune.yaml
index 7bc31168e7..df22987fa5 100644
--- a/configs/stable-diffusion/v1-finetune.yaml
+++ b/configs/stable-diffusion/v1-finetune.yaml
@@ -107,4 +107,4 @@ lightning:
     benchmark: True
     max_steps: 4000000
 #    max_steps: 4000
-    
\ No newline at end of file
+    
diff --git a/configs/stable-diffusion/v1-inference.yaml b/configs/stable-diffusion/v1-inference.yaml
index 59d8f33125..da4770ffc7 100644
--- a/configs/stable-diffusion/v1-inference.yaml
+++ b/configs/stable-diffusion/v1-inference.yaml
@@ -30,9 +30,9 @@ model:
       target: ldm.modules.embedding_manager.EmbeddingManager
       params:
         placeholder_strings: ["*"]
-        initializer_words: ["sculpture"]
+        initializer_words: ['face', 'man', 'photo', 'africanmale']
         per_image_tokens: false
-        num_vectors_per_token: 1
+        num_vectors_per_token: 6
         progressive_words: False
 
     unet_config:
diff --git a/configs/stable-diffusion/v1-m1-finetune.yaml b/configs/stable-diffusion/v1-m1-finetune.yaml
new file mode 100644
index 0000000000..af37f1ec7e
--- /dev/null
+++ b/configs/stable-diffusion/v1-m1-finetune.yaml
@@ -0,0 +1,110 @@
+model:
+  base_learning_rate: 5.0e-03
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: image
+    cond_stage_key: caption
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: true   # Note: different from the one we trained before
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False
+    embedding_reg_weight: 0.0
+
+    personalization_config:
+      target: ldm.modules.embedding_manager.EmbeddingManager
+      params:
+        placeholder_strings: ["*"]
+        initializer_words: ['face', 'man', 'photo', 'africanmale']
+        per_image_tokens: false
+        num_vectors_per_token: 6
+        progressive_words: False
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
+
+data:
+  target: main.DataModuleFromConfig
+  params:
+    batch_size: 1
+    num_workers: 2
+    wrap: false
+    train:
+      target: ldm.data.personalized.PersonalizedBase
+      params:
+        size: 512
+        set: train
+        per_image_tokens: false
+        repeats: 100
+    validation:
+      target: ldm.data.personalized.PersonalizedBase
+      params:
+        size: 512
+        set: val
+        per_image_tokens: false
+        repeats: 10
+
+lightning:
+  modelcheckpoint:
+    params:
+      every_n_train_steps: 500
+  callbacks:
+    image_logger:
+      target: main.ImageLogger
+      params:
+        batch_frequency: 500
+        max_images: 5
+        increase_log_steps: False
+
+  trainer:
+    benchmark: False
+    max_steps: 6200
+#    max_steps: 4000
+    
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diff --git a/docs/assets/img2img/fire-drawing.png b/docs/assets/img2img/fire-drawing.png
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diff --git a/docs/assets/outpainting/elven_princess.outpainted.png b/docs/assets/outpainting/elven_princess.outpainted.png
deleted file mode 100644
index 98f98564df..0000000000
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diff --git a/docs/assets/outpainting/elven_princess.png b/docs/assets/outpainting/elven_princess.png
deleted file mode 100644
index aa5f00ccf7..0000000000
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diff --git a/docs/assets/truncation_comparison.jpg b/docs/assets/truncation_comparison.jpg
new file mode 100644
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diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 580249f248..184f23c171 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -146,6 +146,7 @@ Here are the dream> command that apply to txt2img:
 | --cfg_scale <float>| -C<float> | 7.5                 | How hard to try to match the prompt to the generated image; any number greater than 1.0 works, but the useful range is roughly 5.0 to 20.0 |
 | --seed <int>       | -S<int>   | None                | Set the random seed for the next series of images. This can be used to recreate an image generated previously.|
 | --sampler <sampler>| -A<sampler>| k_lms              | Sampler to use. Use -h to get list of available samplers. |
+| --hires_fix        |           |                     | Larger images often have duplication artefacts. This option suppresses duplicates by generating the image at low res, and then using img2img to increase the resolution |
 | --grid             | -g        | False               | Turn on grid mode to return a single image combining all the images generated by this prompt |
 | --individual       | -i        | True                | Turn off grid mode (deprecated; leave off --grid instead) |
 | --outdir <path>    |  -o<path> | outputs/img_samples  | Temporarily change the location of these images |
@@ -249,9 +250,9 @@ generated image and either loads them into the command line
 (Linux|Mac), or prints them out in a comment for copy-and-paste
 (Windows). You may provide either the name of a file in the current
 output directory, or a full file path.
-Given a wildcard path to a folder with image png files, 
-command will retrieve the dream command used to generate the images,
-and save them to a file commands.txt for further processing
+Specify path to a folder with image png files, and wildcard *.png 
+to retrieve the dream command used to generate the images,
+and save them to a file commands.txt for further processing.
 Name of the saved file could be set as the second argument to !fetch
 
 ~~~
@@ -299,10 +300,25 @@ dream> !20
 dream> watercolor of beautiful woman sitting under tree wearing broad hat and flowing garment -v0.2 -n6 -S2878767194
 ~~~
 
+## !search <search string>
+
+This is similar to !history but it only returns lines that contain
+`search string`. For example:
+
+~~~
+dream> !search surreal
+[21] surrealist painting of beautiful woman sitting under tree wearing broad hat and flowing garment -v0.2 -n6 -S2878767194
+~~~
+
+## !clear
+
+This clears the search history from memory and disk. Be advised that
+this operation is irreversible and does not issue any warnings!
+
 # Command-line editing and completion
 
-If you are on a Macintosh or Linux machine, the command-line offers
-convenient history tracking, editing, and command completion.
+The command-line offers convenient history tracking, editing, and
+command completion.
 
 - To scroll through previous commands and potentially edit/reuse them, use the up and down cursor keys.
 - To edit the current command, use the left and right cursor keys to position the cursor, and then backspace, delete or insert characters.
@@ -312,7 +328,8 @@ convenient history tracking, editing, and command completion.
 - To paste a cut section back in, position the cursor where you want to paste, and type CTRL-Y
 
 Windows users can get similar, but more limited, functionality if they
-launch dream.py with the "winpty" program:
+launch dream.py with the "winpty" program and have the `pyreadline3`
+library installed:
 
 ~~~
 > winpty python scripts\dream.py
diff --git a/docs/features/IMG2IMG.md b/docs/features/IMG2IMG.md
index e61f365c01..47e8317a39 100644
--- a/docs/features/IMG2IMG.md
+++ b/docs/features/IMG2IMG.md
@@ -9,7 +9,7 @@ drawing or photo. This is a really cool feature that tells stable diffusion to b
 top of the image you provide, preserving the original's basic shape and layout. To use it, provide
 the `--init_img` option as shown here:
 
-```bash
+```commandline
 dream> "waterfall and rainbow" --init_img=./init-images/crude_drawing.png --strength=0.5 -s100 -n4
 ```
 
@@ -26,5 +26,99 @@ If the initial image contains transparent regions, then Stable Diffusion will on
 transparent regions, a process called "inpainting". However, for this to work correctly, the color
 information underneath the transparent needs to be preserved, not erased.
 
-More Details can be found here:
+More details can be found here:
 [Creating Transparent Images For Inpainting](./INPAINTING.md#creating-transparent-regions-for-inpainting)
+
+## How does it actually work, though?
+
+The main difference between `img2img` and `prompt2img` is the starting point. While `prompt2img` always starts with pure 
+gaussian noise and progressively refines it over the requested number of steps, `img2img` skips some of these earlier steps 
+(how many it skips is indirectly controlled by the `--strength` parameter), and uses instead your initial image mixed with gaussian noise as the starting image. 
+
+**Let's start** by thinking about vanilla `prompt2img`, just generating an image from a prompt. If the step count is 10, then the "latent space" (Stable Diffusion's internal representation of the image) for the prompt "fire" with seed `1592514025` develops something like this:
+
+```commandline
+dream> "fire" -s10 -W384 -H384 -S1592514025
+```
+
+![latent steps](../assets/img2img/000019.steps.png)
+
+Put simply: starting from a frame of fuzz/static, SD finds details in each frame that it thinks look like "fire" and brings them a little bit more into focus, gradually scrubbing out the fuzz until a clear image remains. 
+
+**When you use `img2img`** some of the earlier steps are cut, and instead an initial image of your choice is used. But because of how the maths behind Stable Diffusion works, this image needs to be mixed with just the right amount of noise (fuzz/static) for where it is being inserted. This is where the strength parameter comes in. Depending on the set strength, your image will be inserted into the sequence at the appropriate point, with just the right amount of noise. 
+
+### A concrete example
+
+Say I want SD to draw a fire based on this hand-drawn image:
+
+![drawing of a fireplace](../assets/img2img/fire-drawing.png)
+
+Let's only do 10 steps, to make it easier to see what's happening. If strength is `0.7`, this is what the internal steps the algorithm has to take will look like:
+
+![](../assets/img2img/000032.steps.gravity.png)
+
+With strength `0.4`, the steps look more like this:
+
+![](../assets/img2img/000030.steps.gravity.png)
+
+Notice how much more fuzzy the starting image is for strength `0.7` compared to `0.4`, and notice also how much longer the sequence is with `0.7`:
+
+|  | strength = 0.7 | strength = 0.4 |
+| -- | -- | -- |
+| initial image that SD sees | ![](../assets/img2img/000032.step-0.png) | ![](../assets/img2img/000030.step-0.png) |
+| steps argument to `dream>` | `-S10` | `-S10` |
+| steps actually taken | 7 | 4 |
+| latent space at each step | ![](../assets/img2img/000032.steps.gravity.png) | ![](../assets/img2img/000030.steps.gravity.png) |
+| output | ![](../assets/img2img/000032.1592514025.png) | ![](../assets/img2img/000030.1592514025.png) |
+
+Both of the outputs look kind of like what I was thinking of. With the strength higher, my input becomes more vague, *and* Stable Diffusion has more steps to refine its output. But it's not really making what I want, which is a picture of cheery open fire. With the strength lower, my input is more clear, *but* Stable Diffusion has less chance to refine itself, so the result ends up inheriting all the problems of my bad drawing.
+
+
+If you want to try this out yourself, all of these are using a seed of `1592514025` with a width/height of `384`, step count `10`, the default sampler (`k_lms`), and the single-word prompt `fire`:
+
+```commandline
+dream> "fire" -s10 -W384 -H384 -S1592514025 -I /tmp/fire-drawing.png --strength 0.7
+```
+
+The code for rendering intermediates is on my (damian0815's) branch [document-img2img](https://github.com/damian0815/InvokeAI/tree/document-img2img) - run `dream.py` and check your `outputs/img-samples/intermediates` folder while generating an image. 
+
+### Compensating for the reduced step count
+
+After putting this guide together I was curious to see how the difference would be if I increased the step count to compensate, so that SD could have the same amount of steps to develop the image regardless of the strength. So I ran the generation again using the same seed, but this time adapting the step count to give each generation 20 steps.
+
+Here's strength `0.4` (note step count `50`, which is `20 ÷ 0.4` to make sure SD does `20` steps from my image):
+
+```commandline
+dream> "fire" -s50 -W384 -H384 -S1592514025 -I /tmp/fire-drawing.png -f 0.4
+```
+
+![](../assets/img2img/000035.1592514025.png)
+
+and strength `0.7` (note step count `30`, which is roughly `20 ÷ 0.7` to make sure SD does `20` steps from my image):
+
+```commandline
+dream> "fire" -s30 -W384 -H384 -S1592514025 -I /tmp/fire-drawing.png -f 0.7
+```
+
+![](../assets/img2img/000046.1592514025.png)
+
+In both cases the image is nice and clean and "finished", but because at strength `0.7` Stable Diffusion has been give so much more freedom to improve on my badly-drawn flames, they've come out looking much better. You can really see the difference when looking at the latent steps. There's more noise on the first image with strength `0.7`:
+
+![](../assets/img2img/000046.steps.gravity.png)
+
+than there is for strength `0.4`:
+
+![](../assets/img2img/000035.steps.gravity.png)
+
+and that extra noise gives the algorithm more choices when it is evaluating how to denoise any particular pixel in the image. 
+
+Unfortunately, it seems that `img2img` is very sensitive to the step count. Here's strength `0.7` with a step count of `29` (SD did 19 steps from my image):
+
+![](../assets/img2img/000045.1592514025.png)
+
+By comparing the latents we can sort of see that something got interpreted differently enough on the third or fourth step to lead to a rather different interpretation of the flames.
+
+![](../assets/img2img/000046.steps.gravity.png)
+![](../assets/img2img/000045.steps.gravity.png)
+
+This is the result of a difference in the de-noising "schedule" - basically the noise has to be cleaned by a certain degree each step or the model won't "converge" on the image properly (see https://huggingface.co/blog/stable_diffusion for more about that). A different step count means a different schedule, which means things get interpreted slightly differently at every step. 
diff --git a/docs/features/OTHER.md b/docs/features/OTHER.md
index 5faa1d32d0..6aab528275 100644
--- a/docs/features/OTHER.md
+++ b/docs/features/OTHER.md
@@ -55,6 +55,43 @@ outputs/img-samples/000040.3498014304.png: "a cute child playing hopscotch" -G1.
 
 ---
 
+## **Weighted Prompts**
+
+You may weight different sections of the prompt to tell the sampler to attach different levels of
+priority to them, by adding `:(number)` to the end of the section you wish to up- or downweight. For
+example consider this prompt:
+
+```bash
+tabby cat:0.25 white duck:0.75 hybrid
+```
+
+This will tell the sampler to invest 25% of its effort on the tabby cat aspect of the image and 75%
+on the white duck aspect (surprisingly, this example actually works). The prompt weights can use any
+combination of integers and floating point numbers, and they do not need to add up to 1.
+
+---
+
+## Thresholding and Perlin Noise Initialization Options
+
+Two new options are the thresholding (`--threshold`) and the perlin noise initialization (`--perlin`) options. Thresholding limits the range of the latent values during optimization, which helps combat oversaturation with higher CFG scale values. Perlin noise initialization starts with a percentage (a value ranging from 0 to 1) of perlin noise mixed into the initial noise. Both features allow for more variations and options in the course of generating images.
+
+For better intuition into what these options do in practice, [here is a graphic demonstrating them both](static/truncation_comparison.jpg) in use. In generating this graphic, perlin noise at initialization was programmatically varied going across on the diagram by values 0.0, 0.1, 0.2, 0.4, 0.5, 0.6, 0.8, 0.9, 1.0; and the threshold was varied going down from
+0, 1, 2, 3, 4, 5, 10, 20, 100. The other options are fixed, so the initial prompt is as follows (no thresholding or perlin noise):
+
+```
+    a portrait of a beautiful young lady -S 1950357039 -s 100 -C 20 -A k_euler_a --threshold 0 --perlin 0
+```
+
+Here's an example of another prompt used when setting the threshold to 5 and perlin noise to 0.2:
+
+```
+    a portrait of a beautiful young lady -S 1950357039 -s 100 -C 20 -A k_euler_a --threshold 5 --perlin 0.2
+```
+
+Note: currently the thresholding feature is only implemented for the k-diffusion style samplers, and empirically appears to work best with `k_euler_a` and `k_dpm_2_a`. Using 0 disables thresholding. Using 0 for perlin noise disables using perlin noise for initialization. Finally, using 1 for perlin noise uses only perlin noise for initialization.
+
+---
+
 ## **Simplified API**
 
 For programmers who wish to incorporate stable-diffusion into other products, this repository
diff --git a/docs/features/OUTPAINTING.md b/docs/features/OUTPAINTING.md
index 9f72a5cb3c..952bbc97fc 100644
--- a/docs/features/OUTPAINTING.md
+++ b/docs/features/OUTPAINTING.md
@@ -4,75 +4,95 @@ title: Outpainting
 
 # :octicons-paintbrush-16: Outpainting
 
-## Continous outpainting
+## Outpainting and outcropping
 
-This extension uses the inpainting code to extend an existing image to
-any direction of "top", "right", "bottom" or "left". To use it you
-need to provide an initial image with -I and an extension direction
-with -D (direction). When extending using outpainting a higher img2img
-strength value of 0.83 is the default.
+Outpainting is a process by which the AI generates parts of the image
+that are outside its original frame. It can be used to fix up images
+in which the subject is off center, or when some detail (often the top
+of someone's head!) is cut off.
 
-The code is not foolproof. Sometimes it will do a good job extending
-the image, and other times it will generate ghost images and other
-artifacts. In addition, the code works best on images that were
-generated by dream.py, because it will be able to recover the original
-prompt that generated the file and "understand" what you are trying to
-achieve.
+InvokeAI supports two versions of outpainting, one called "outpaint"
+and the other "outcrop." They work slightly differently and each has
+its advantages and drawbacks.
 
-### Basic Usage
+### Outcrop
 
-To illustrate, consider this image generated with the prompt "fantasy
-portrait of eleven princess." It's nice, but rather annoying that the
-top of the head has been cropped off.
+The `outcrop` extension allows you to extend the image in 64 pixel
+increments in any dimension. You can apply the module to any image
+previously-generated by InvokeAI. Note that it will **not** work with
+arbitrary photographs or Stable Diffusion images created by other
+implementations.
 
-![elven_princess](../assets/outpainting/elven_princess.png)
+Consider this image:
 
-We can fix that using the `!fix` command!
+![curly_woman](../assets/outpainting/curly.png)
+
+Pretty nice, but it's annoying that the top of her head is cut
+off. She's also a bit off center. Let's fix that!
 
 ~~~~
-dream> !fix my_images/elven_princess.png -D top 50
+dream> !fix images/curly.png --outcrop top 64 right 64
 ~~~~
 
-This is telling dream.py to open up a rectangle 50 pixels high at the
-top of the image and outpaint into it. The result is:
+This is saying to apply the `outcrop` extension by extending the top
+of the image by 64 pixels, and the right of the image by the same
+amount. You can use any combination of top|left|right|bottom, and
+specify any number of pixels to extend. You can also abbreviate
+`--outcrop` to `-c`.
 
-![elven_princess.fixed](../assets/outpainting/elven_princess.outpainted.png)
+The result looks like this:
 
-Viola! You can similarly specify `bottom`, `left` or `right` to
-outpaint into these margins.
+![curly_woman_outcrop](../assets/outpainting/curly-outcrop.png)
 
-There are some limitations to be aware of:
+The new image is actually slightly larger than the original (576x576,
+because 64 pixels were added to the top and right sides.)
 
-1. You cannot change the size of the image rectangle. In the example,
-   notice that the whole image is shifted downwards by 50 pixels, rather
-   than the top being extended upwards.
+A number of caveats:
 
-2. Attempting to outpaint larger areas will frequently give rise to ugly
+1. Although you can specify any pixel values, they will be rounded up
+to the nearest multiple of 64. Smaller values are better. Larger
+extensions are more likely to generate artefacts. However, if you wish
+you can run the !fix command repeatedly to cautiously expand the
+image.
+
+2. The extension is stochastic, meaning that each time you run it
+you'll get a slightly different result. You can run it repeatedly
+until you get an image you like. Unfortunately `!fix` does not
+currently respect the `-n` (`--iterations`) argument.
+
+## Outpaint
+
+The `outpaint` extension does the same thing, but with subtle
+differences. Starting with the same image, here is how we would add an
+additional 64 pixels to the top of the image:
+
+~~~
+dream> !fix images/curly.png --out_direction top 64
+~~~
+
+(you can abbreviate ``--out_direction` as `-D`.
+
+The result is shown here:
+
+![curly_woman_outpaint](../assets/outpainting/curly-outpaint.png)
+
+Although the effect is similar, there are significant differences from
+outcropping:
+
+1. You can only specify one direction to extend at a time.
+2. The image is **not** resized. Instead, the image is shifted by the specified
+number of pixels. If you look carefully, you'll see that less of the lady's
+torso is visible in the image.
+3. Because the image dimensions remain the same, there's no rounding
+to multiples of 64.
+4. Attempting to outpaint larger areas will frequently give rise to ugly
    ghosting effects.
-
-3. For best results, try increasing the step number.
-
-4. If you don't specify a pixel value in -D, it will default to half
+5. For best results, try increasing the step number.
+6. If you don't specify a pixel value in -D, it will default to half
    of the whole image, which is likely not what you want.
 
-You can do more with `!fix` including upscaling and facial
-reconstruction of previously-generated images. See
-[./UPSCALE.md#fixing-previously-generated-images] for the details.
-
-### Advanced Usage
-
-For more control over the outpaintihg process, you can provide the
-`-D` option at image generation time. This allows you to apply all the
-controls, including the ability to resize the image and apply face-fixing
-and upscaling. For example:
-
-~~~~
-dream> man with cat on shoulder -I./images/man.png -D bottom 100 -W960 -H960 -fit
-~~~~
-
-Or even shorter, since the prompt is read from the metadata of the old image:
-
-~~~~
-dream> -I./images/man.png -D bottom 100 -W960 -H960 -fit -U2 -G1
-~~~~
+Neither `outpaint` nor `outcrop` are perfect, but we continue to tune
+and improve them. If one doesn't work, try the other. You may also
+wish to experiment with other `img2img` arguments, such as `-C`, `-f`
+and `-s`.
 
diff --git a/docs/features/UPSCALE.md b/docs/features/POSTPROCESS.md
similarity index 90%
rename from docs/features/UPSCALE.md
rename to docs/features/POSTPROCESS.md
index 6f720826ac..cd4fd7e9e6 100644
--- a/docs/features/UPSCALE.md
+++ b/docs/features/POSTPROCESS.md
@@ -1,14 +1,18 @@
 
 ---
-title: Upscale
+title: Postprocessing
 ---
 
 ## Intro
 
-The script provides the ability to restore faces and upscale. You can apply
-these operations at the time you generate the images, or at any time to a
-previously-generated PNG file, using the
-[!fix](#fixing-previously-generated-images) command.
+This extension provides the ability to restore faces and upscale
+images.
+
+Face restoration and upscaling can be applied at the time you generate
+the images, or at any later time against a previously-generated PNG
+file, using the [!fix](#fixing-previously-generated-images)
+command. [Outpainting and outcropping](OUTPAINTING.md) can only be
+applied after the fact.
 
 ## Face Fixing
 
@@ -31,7 +35,7 @@ into **src/gfpgan/experiments/pretrained_models**. On Mac and Linux systems,
 here's how you'd do it using **wget**:
 
 ```bash
-wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth src/gfpgan/experiments/pretrained_models/
+wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth -P src/gfpgan/experiments/pretrained_models/
 ```
 
 Make sure that you're in the InvokeAI directory when you do this.
@@ -158,9 +162,9 @@ situations when there is very little facial data to work with.
 ## Fixing Previously-Generated Images
 
 It is easy to apply face restoration and/or upscaling to any
-previously-generated file. Just use the syntax
-`!fix path/to/file.png <options>`. For example, to apply GFPGAN at strength 0.8
-and upscale 2X for a file named `./outputs/img-samples/000044.2945021133.png`,
+previously-generated file. Just use the syntax `!fix path/to/file.png
+<options>`. For example, to apply GFPGAN at strength 0.8 and upscale
+2X for a file named `./outputs/img-samples/000044.2945021133.png`,
 just run:
 
 ```
diff --git a/docs/features/WEB.md b/docs/features/WEB.md
index 833b18cdfc..ffc48f47f7 100644
--- a/docs/features/WEB.md
+++ b/docs/features/WEB.md
@@ -1,12 +1,15 @@
 ---
-title: Barebones Web Server
+title: InvokeAI Web UI & Server
 ---
 
-# :material-web: Barebones Web Server
+# :material-web: InvokeAI Web Server
 
-As of version 1.10, this distribution comes with a bare bones web server (see
-screenshot). To use it, run the `dream.py` script by adding the `--web`
-option.
+As of version 2.0, this distribution's web server has been updated to include 
+an all-new UI, with optimizations to improve common workflows for image generation.
+
+## Getting Started & Initialization Commands
+
+To start the web server, run the `dream.py` script by adding the `--web` parameter.
 
 ```bash
 (ldm) ~/stable-diffusion$ python3 scripts/dream.py --web
@@ -15,7 +18,58 @@ option.
 You can then connect to the server by pointing your web browser at
 http://localhost:9090, or to the network name or IP address of the server.
 
-Kudos to [Tesseract Cat](https://github.com/TesseractCat) for contributing this
-code, and to [dagf2101](https://github.com/dagf2101) for refining it.
+### Additional Options
+  `--web_develop`    -   Starts the web server in development mode.
+  
+  `--web_verbose`    -   Enables verbose logging
+  
+  `--cors [CORS ...]`    -   Additional allowed origins, comma-separated
+  
+  `--host HOST`    -   Web server: Host or IP to listen on. Set to 0.0.0.0 to
+  accept traffic from other devices on your network.
+                        
+  `--port PORT`    -   Web server: Port to listen on
+  
+  `--gui`    -   Start InvokeAI GUI - This is the "desktop mode" version of the web app. It uses Flask 
+  to create a desktop app experience of the webserver.
+
+
+## Web Specific Features
+
+The web experience offers an incredibly easy-to-use experience for interacting with the InvokeAI toolkit. 
+For detailed guidance on individual features, see the Feature-specific help documents available in this directory.
+Note that the latest functionality available in the CLI may not always be available in the Web interface.
+
+### Dark Mode & Light Mode 
+The InvokeAI interface is available in a nano-carbon black & purple Dark Mode, and a "burn your eyes out Nosferatu" Light Mode. These can be toggled by clicking the Sun/Moon icons at the top right of the interface. 
+
+![InvokeAI Web Server - Dark Mode](../assets/invoke_web_dark.png)
+
+![InvokeAI Web Server - Light Mode](../assets/invoke_web_light.png)
+
+### Invocation Toolbar
+The left side of the InvokeAI interface is available for customizing the prompt and the settings used for invoking your new image. Typing your prompt into the open text field and clicking the Invoke button will produce the image based on the settings configured in the toolbar. 
+
+See below for additional documentation related to each feature:
+- [Core Prompt Settings](./CLI.md)
+- [Variations](./VARIATIONS.md)
+- [Upscaling](./UPSCALE.md)
+- [Image to Image](./IMG2IMG.md)
+- [Inpainting](./INPAINTING.md)
+- [Other](./OTHER.md)
+
+### Invocation Gallery
+The currently selected --outdir (or the default outputs folder) will display all previously generated files on load. As new invocations are generated, these will be dynamically added to the gallery, and can be previewed by selecting them. Each image also has a simple set of actions (e.g., Delete, Use Seed, Use All Parameters, etc.) that can be accessed by hovering over the image.
+
+### Image Workspace
+When an image from the Invocation Gallery is selected, or is generated, the image will be displayed within the center of the interface. A quickbar of common image interactions are displayed along the top of the image, including:
+- Use image in the `Image to Image` workflow
+- Initialize Face Restoration on the selected file
+- Initialize Upscaling on the selected file
+- View File metadata and details
+- Delete the file
+
+## Acknowledgements
+
+A huge shout-out to the core team working to make this vision a reality, including [psychedelicious](https://github.com/psychedelicious), [Kyle0654](https://github.com/Kyle0654) and [blessedcoolant](https://github.com/blessedcoolant). [hipsterusername](https://github.com/hipsterusername) was the team's unofficial cheerleader and added tooltips/docs.
 
-![Dream Web Server](../assets/dream_web_server.png)
diff --git a/docs/other/CONTRIBUTORS.md b/docs/other/CONTRIBUTORS.md
index be4f3f407c..82f9132f97 100644
--- a/docs/other/CONTRIBUTORS.md
+++ b/docs/other/CONTRIBUTORS.md
@@ -58,6 +58,7 @@ We thank them for all of their time and hard work.
 - [rabidcopy](https://github.com/rabidcopy)
 - [Dominic Letz](https://github.com/dominicletz)
 - [Dmitry T.](https://github.com/ArDiouscuros)
+- [Kent Keirsey](https://github.com/hipsterusername)
 
 ## **Original CompVis Authors:**
 
diff --git a/environment-mac.yml b/environment-mac.yml
index dcaed6c88d..70df3b8865 100644
--- a/environment-mac.yml
+++ b/environment-mac.yml
@@ -33,13 +33,13 @@ dependencies:
   - openh264==2.3.0
   - onnx==1.12.0
   - onnxruntime==1.12.1
-  - protobuf==3.20.1
+  - protobuf==3.19.4
   - pudb==2022.1
-  - pytorch-lightning==1.6.5
+  - pytorch-lightning==1.7.5
   - scipy==1.9.1
   - streamlit==1.12.2
   - sympy==1.10.1
-  - tensorboard==2.9.0
+  - tensorboard==2.10.0
   - torchmetrics==0.9.3
   - pip:
     - flask==2.1.3
diff --git a/environment.yml b/environment.yml
index eaf4d0e02a..621ec024b0 100644
--- a/environment.yml
+++ b/environment.yml
@@ -23,6 +23,7 @@ dependencies:
     - send2trash==1.8.0
     - pillow==9.2.0
     - einops==0.3.0
+    - pyreadline3
     - torch-fidelity==0.3.0
     - transformers==4.19.2
     - torchmetrics==0.6.0
@@ -34,6 +35,6 @@ dependencies:
     - kornia==0.6.0
     - -e git+https://github.com/openai/CLIP.git@main#egg=clip
     - -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
-    - -e git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
+    - -e git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k_diffusion
     - -e git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan
     - -e .
diff --git a/frontend/README.md b/frontend/README.md
index 94934b2bce..f597cc6f23 100644
--- a/frontend/README.md
+++ b/frontend/README.md
@@ -2,24 +2,22 @@
 
 ## Run
 
-- `python backend/server.py` serves both frontend and backend at http://localhost:9090
+- `python scripts/dream.py --web` serves both frontend and backend at
+  http://localhost:9090
 
 ## Evironment
 
 Install [node](https://nodejs.org/en/download/) (includes npm) and optionally
 [yarn](https://yarnpkg.com/getting-started/install).
 
-From `frontend/` run `npm install` / `yarn install` to install the frontend packages.
+From `frontend/` run `npm install` / `yarn install` to install the frontend
+packages.
 
 ## Dev
 
 1. From `frontend/`, run `npm dev` / `yarn dev` to start the dev server.
-2. Note the address it starts up on (probably `http://localhost:5173/`).
-3. Edit `backend/server.py`'s `additional_allowed_origins` to include this address, e.g.
-   `additional_allowed_origins = ['http://localhost:5173']`.
-4. Leaving the dev server running, open a new terminal and go to the project root.
-5. Run `python backend/server.py`.
-6. Navigate to the dev server address e.g. `http://localhost:5173/`.
+2. Run `python scripts/dream.py --web`.
+3. Navigate to the dev server address e.g. `http://localhost:5173/`.
 
 To build for dev: `npm build-dev` / `yarn build-dev`
 
@@ -28,10 +26,3 @@ To build for production: `npm build` / `yarn build`
 ## TODO
 
 - Search repo for "TODO"
-- My one gripe with Chakra: no way to disable all animations right now and drop the dependence on
-  `framer-motion`. I would prefer to save the ~30kb on bundle and have zero animations. This is on
-  the Chakra roadmap. See https://github.com/chakra-ui/chakra-ui/pull/6368 for last discussion on
-  this. Need to check in on this issue periodically.
-- Mobile friendly layout
-- Proper image gallery/viewer/manager
-- Help tooltips and such
diff --git a/frontend/dist/assets/Inter-Bold.790c108b.ttf b/frontend/dist/assets/Inter-Bold.790c108b.ttf
new file mode 100644
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diff --git a/frontend/dist/assets/Inter.b9a8e5e2.ttf b/frontend/dist/assets/Inter.b9a8e5e2.ttf
new file mode 100644
index 0000000000..ec3164efa8
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diff --git a/frontend/dist/assets/favicon.0d253ced.ico b/frontend/dist/assets/favicon.0d253ced.ico
new file mode 100644
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diff --git a/frontend/dist/assets/index.1332a4e9.js b/frontend/dist/assets/index.1332a4e9.js
deleted file mode 100644
index 6174f1baac..0000000000
--- a/frontend/dist/assets/index.1332a4e9.js
+++ /dev/null
@@ -1,694 +0,0 @@
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Use a static property to define defaultProps instead.",p),f.propTypes&&u("propTypes was defined as an instance property on %s. Use a static property to define propTypes instead.",p),f.contextType&&u("contextType was defined as an instance property on %s. Use a static property to define contextType instead.",p),f.contextTypes&&u("contextTypes was defined as an instance property on %s. Use a static property to define contextTypes instead.",p),a.contextType&&a.contextTypes&&!h_.has(a)&&(h_.add(a),u("%s declares both contextTypes and contextType static properties. The legacy contextTypes property will be ignored.",p)),typeof f.componentShouldUpdate=="function"&&u("%s has a method called componentShouldUpdate(). Did you mean shouldComponentUpdate()? 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This component defines getSnapshotBeforeUpdate() only.",un(a))),typeof f.getDerivedStateFromProps=="function"&&u("%s: getDerivedStateFromProps() is defined as an instance method and will be ignored. Instead, declare it as a static method.",p),typeof f.getDerivedStateFromError=="function"&&u("%s: getDerivedStateFromError() is defined as an instance method and will be ignored. Instead, declare it as a static method.",p),typeof a.getSnapshotBeforeUpdate=="function"&&u("%s: getSnapshotBeforeUpdate() is defined as a static method and will be ignored. Instead, declare it as an instance method.",p);var T=f.state;T&&(typeof T!="object"||Bt(T))&&u("%s.state: must be set to an object or null",p),typeof f.getChildContext=="function"&&typeof a.childContextTypes!="object"&&u("%s.getChildContext(): childContextTypes must be defined in order to use getChildContext().",p)}}function c4(r,a){a.updater=y_,r.stateNode=a,An(a,r),a._reactInternalInstance=l_}function f4(r,a,s){var f=!1,p=qo,y=qo,C=a.contextType;if("contextType"in a){var T=C===null||C!==void 0&&C.$$typeof===Cn&&C._context===void 0;if(!T&&!v_.has(a)){v_.add(a);var D="";C===void 0?D=" However, it is set to undefined. This can be caused by a typo or by mixing up named and default imports. 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-%s uses %s but also contains the following legacy lifecycles:%s%s%s
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_Z="/Users/spencer/Documents/Code/stable-diffusion/frontend/node_modules/framer-motion/dist/es/components/AnimatePresence/PopChild.mjs";class TZ extends k.exports.Component{getSnapshotBeforeUpdate(t){const n=this.props.childRef.current;if(n&&t.isPresent&&!this.props.isPresent){const i=this.props.sizeRef.current;i.height=n.offsetHeight||0,i.width=n.offsetWidth||0,i.top=n.offsetTop,i.left=n.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function RZ({children:e,isPresent:t}){const n=k.exports.useId(),i=k.exports.useRef(null),o=k.exports.useRef({width:0,height:0,top:0,left:0});return k.exports.useInsertionEffect(()=>{const{width:c,height:u,top:m,left:h}=o.current;if(t||!i.current||!c||!u)return;i.current.dataset.motionPopId=n;const v=document.createElement("style");return document.head.appendChild(v),v.sheet&&v.sheet.insertRule(`
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-`,"We recommend using the popper element as a wrapper around an inner","element that can have any CSS property transitioned for animations."].join(" "))}var b={placement:Ol(t.placement),variation:fv(t.placement),popper:t.elements.popper,popperRect:t.rects.popper,gpuAcceleration:o,isFixed:t.options.strategy==="fixed"};t.modifiersData.popperOffsets!=null&&(t.styles.popper=Object.assign({},t.styles.popper,WM(Object.assign({},b,{offsets:t.modifiersData.popperOffsets,position:t.options.strategy,adaptive:u,roundOffsets:h})))),t.modifiersData.arrow!=null&&(t.styles.arrow=Object.assign({},t.styles.arrow,WM(Object.assign({},b,{offsets:t.modifiersData.arrow,position:"absolute",adaptive:!1,roundOffsets:h})))),t.attributes.popper=Object.assign({},t.attributes.popper,{"data-popper-placement":t.placement})}const Ree={name:"computeStyles",enabled:!0,phase:"beforeWrite",fn:Tee,data:{}};var Ex={passive:!0};function Aee(e){var t=e.state,n=e.instance,i=e.options,o=i.scroll,c=o===void 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v=H7();(v||!v&&t==="fixed")&&(m=o.offsetLeft,h=o.offsetTop)}return{width:c,height:u,x:m+Yk(e),y:h}}function Mee(e){var t,n=id(e),i=Gk(e),o=(t=e.ownerDocument)==null?void 0:t.body,c=Hp(n.scrollWidth,n.clientWidth,o?o.scrollWidth:0,o?o.clientWidth:0),u=Hp(n.scrollHeight,n.clientHeight,o?o.scrollHeight:0,o?o.clientHeight:0),m=-i.scrollLeft+Yk(e),h=-i.scrollTop;return Pl(o||n).direction==="rtl"&&(m+=Hp(n.clientWidth,o?o.clientWidth:0)-c),{width:c,height:u,x:m,y:h}}function qk(e){var t=Pl(e),n=t.overflow,i=t.overflowX,o=t.overflowY;return/auto|scroll|overlay|hidden/.test(n+o+i)}function K7(e){return["html","body","#document"].indexOf(xu(e))>=0?e.ownerDocument.body:ts(e)&&qk(e)?e:K7(kC(e))}function oy(e,t){var n;t===void 0&&(t=[]);var i=K7(e),o=i===((n=e.ownerDocument)==null?void 0:n.body),c=Vs(i),u=o?[c].concat(c.visualViewport||[],qk(i)?i:[]):i,m=t.concat(u);return o?m:m.concat(oy(kC(u)))}function q5(e){return 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t=e.reference,n=e.element,i=e.placement,o=i?Ol(i):null,c=i?fv(i):null,u=t.x+t.width/2-n.width/2,m=t.y+t.height/2-n.height/2,h;switch(o){case Eo:h={x:u,y:t.y-n.height};break;case Bs:h={x:u,y:t.y+t.height};break;case Us:h={x:t.x+t.width,y:m};break;case _o:h={x:t.x-n.width,y:m};break;default:h={x:t.x,y:t.y}}var v=o?Wk(o):null;if(v!=null){var b=v==="y"?"height":"width";switch(c){case lv:h[v]=h[v]-(t[b]/2-n[b]/2);break;case Ry:h[v]=h[v]+(t[b]/2-n[b]/2);break}}return h}function Ay(e,t){t===void 0&&(t={});var n=t,i=n.placement,o=i===void 0?e.placement:i,c=n.strategy,u=c===void 0?e.strategy:c,m=n.boundary,h=m===void 0?aee:m,v=n.rootBoundary,b=v===void 0?j7:v,x=n.elementContext,w=x===void 0?z0:x,N=n.altBoundary,R=N===void 0?!1:N,O=n.padding,M=O===void 0?0:O,B=Y7(typeof 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Ye.concat(Ol(at)===AC?zee(t,{placement:at,boundary:b,rootBoundary:x,padding:v,flipVariations:R,allowedAutoPlacements:O}):at)},[]),$=t.rects.reference,q=t.rects.popper,K=new Map,le=!0,me=z[0],se=0;se<z.length;se++){var Se=z[se],qe=Ol(Se),ae=fv(Se)===lv,ue=[Eo,Bs].indexOf(qe)>=0,Ee=ue?"width":"height",de=Ay(t,{placement:Se,boundary:b,rootBoundary:x,altBoundary:w,padding:v}),ie=ue?ae?Us:_o:ae?Bs:Eo;$[Ee]>q[Ee]&&(ie=Zx(ie));var xe=Zx(ie),Ne=[];if(c&&Ne.push(de[qe]<=0),m&&Ne.push(de[ie]<=0,de[xe]<=0),Ne.every(function(Ye){return Ye})){me=Se,le=!1;break}K.set(Se,Ne)}if(le)for(var he=R?3:1,Ce=function(at){var gt=z.find(function(Ht){var Ze=K.get(Ht);if(Ze)return Ze.slice(0,at).every(function(ct){return ct})});if(gt)return me=gt,"break"},Me=he;Me>0;Me--){var Ie=Ce(Me);if(Ie==="break")break}t.placement!==me&&(t.modifiersData[i]._skip=!0,t.placement=me,t.reset=!0)}}const $ee={name:"flip",enabled:!0,phase:"main",fn:Uee,requiresIfExists:["offset"],data:{_skip:!1}};function qM(e,t,n){return n===void 0&&(n={x:0,y:0}),{top:e.top-t.height-n.y,right:e.right-t.width+n.x,bottom:e.bottom-t.height+n.y,left:e.left-t.width-n.x}}function KM(e){return[Eo,Us,Bs,_o].some(function(t){return e[t]>=0})}function jee(e){var t=e.state,n=e.name,i=t.rects.reference,o=t.rects.popper,c=t.modifiersData.preventOverflow,u=Ay(t,{elementContext:"reference"}),m=Ay(t,{altBoundary:!0}),h=qM(u,i),v=qM(m,o,c),b=KM(h),x=KM(v);t.modifiersData[n]={referenceClippingOffsets:h,popperEscapeOffsets:v,isReferenceHidden:b,hasPopperEscaped:x},t.attributes.popper=Object.assign({},t.attributes.popper,{"data-popper-reference-hidden":b,"data-popper-escaped":x})}const Vee={name:"hide",enabled:!0,phase:"main",requiresIfExists:["preventOverflow"],fn:jee};function Hee(e,t,n){var i=Ol(e),o=[_o,Eo].indexOf(i)>=0?-1:1,c=typeof n=="function"?n(Object.assign({},t,{placement:e})):n,u=c[0],m=c[1];return u=u||0,m=(m||0)*o,[_o,Us].indexOf(i)>=0?{x:m,y:u}:{x:u,y:m}}function Wee(e){var t=e.state,n=e.options,i=e.name,o=n.offset,c=o===void 0?[0,0]:o,u=V7.reduce(function(b,x){return b[x]=Hee(x,t.rects,c),b},{}),m=u[t.placement],h=m.x,v=m.y;t.modifiersData.popperOffsets!=null&&(t.modifiersData.popperOffsets.x+=h,t.modifiersData.popperOffsets.y+=v),t.modifiersData[i]=u}const Gee={name:"offset",enabled:!0,phase:"main",requires:["popperOffsets"],fn:Wee};function Yee(e){var t=e.state,n=e.name;t.modifiersData[n]=X7({reference:t.rects.reference,element:t.rects.popper,strategy:"absolute",placement:t.placement})}const qee={name:"popperOffsets",enabled:!0,phase:"read",fn:Yee,data:{}};function Kee(e){return e==="x"?"y":"x"}function Xee(e){var t=e.state,n=e.options,i=e.name,o=n.mainAxis,c=o===void 0?!0:o,u=n.altAxis,m=u===void 0?!1:u,h=n.boundary,v=n.rootBoundary,b=n.altBoundary,x=n.padding,w=n.tether,N=w===void 0?!0:w,R=n.tetherOffset,O=R===void 0?0:R,M=Ay(t,{boundary:h,rootBoundary:v,padding:x,altBoundary:b}),B=Ol(t.placement),I=fv(t.placement),F=!I,z=Wk(B),$=Kee(z),q=t.modifiersData.popperOffsets,K=t.rects.reference,le=t.rects.popper,me=typeof O=="function"?O(Object.assign({},t.rects,{placement:t.placement})):O,se=typeof me=="number"?{mainAxis:me,altAxis:me}:Object.assign({mainAxis:0,altAxis:0},me),Se=t.modifiersData.offset?t.modifiersData.offset[t.placement]:null,qe={x:0,y:0};if(!!q){if(c){var ae,ue=z==="y"?Eo:_o,Ee=z==="y"?Bs:Us,de=z==="y"?"height":"width",ie=q[z],xe=ie+M[ue],Ne=ie-M[Ee],he=N?-le[de]/2:0,Ce=I===lv?K[de]:le[de],Me=I===lv?-le[de]:-K[de],Ie=t.elements.arrow,Ye=N&&Ie?Hk(Ie):{width:0,height:0},at=t.modifiersData["arrow#persistent"]?t.modifiersData["arrow#persistent"].padding:G7(),gt=at[ue],Ht=at[Ee],Ze=iy(0,K[de],Ye[de]),ct=F?K[de]/2-he-Ze-gt-se.mainAxis:Ce-Ze-gt-se.mainAxis,wt=F?-K[de]/2+he+Ze+Ht+se.mainAxis:Me+Ze+Ht+se.mainAxis,zt=t.elements.arrow&&tb(t.elements.arrow),Ge=zt?z==="y"?zt.clientTop||0:zt.clientLeft||0:0,Wt=(ae=Se?.[z])!=null?ae:0,ye=ie+ct-Wt-Ge,et=ie+wt-Wt,Nt=iy(N?O2(xe,ye):xe,ie,N?Hp(Ne,et):Ne);q[z]=Nt,qe[z]=Nt-ie}if(m){var lt,xn=z==="x"?Eo:_o,$n=z==="x"?Bs:Us,Lt=q[$],an=$==="y"?"height":"width",On=Lt+M[xn],gn=Lt-M[$n],He=[Eo,_o].indexOf(B)!==-1,Je=(lt=Se?.[$])!=null?lt:0,tn=He?On:Lt-K[an]-le[an]-Je+se.altAxis,kt=He?Lt+K[an]+le[an]-Je-se.altAxis:gn,Oe=N&&He?See(tn,Lt,kt):iy(N?tn:On,Lt,N?kt:gn);q[$]=Oe,qe[$]=Oe-Lt}t.modifiersData[i]=qe}}const Zee={name:"preventOverflow",enabled:!0,phase:"main",fn:Xee,requiresIfExists:["offset"]};function Qee(e){return{scrollLeft:e.scrollLeft,scrollTop:e.scrollTop}}function Jee(e){return e===Vs(e)||!ts(e)?Gk(e):Qee(e)}function ete(e){var t=e.getBoundingClientRect(),n=uv(t.width)/e.offsetWidth||1,i=uv(t.height)/e.offsetHeight||1;return n!==1||i!==1}function tte(e,t,n){n===void 0&&(n=!1);var i=ts(t),o=ts(t)&&ete(t),c=id(t),u=cv(e,o,n),m={scrollLeft:0,scrollTop:0},h={x:0,y:0};return(i||!i&&!n)&&((xu(t)!=="body"||qk(c))&&(m=Jee(t)),ts(t)?(h=cv(t,!0),h.x+=t.clientLeft,h.y+=t.clientTop):c&&(h.x=Yk(c))),{x:u.left+m.scrollLeft-h.x,y:u.top+m.scrollTop-h.y,width:u.width,height:u.height}}function nte(e){var t=new Map,n=new Set,i=[];e.forEach(function(c){t.set(c.name,c)});function o(c){n.add(c.name);var u=[].concat(c.requires||[],c.requiresIfExists||[]);u.forEach(function(m){if(!n.has(m)){var h=t.get(m);h&&o(h)}}),i.push(c)}return e.forEach(function(c){n.has(c.name)||o(c)}),i}function rte(e){var t=nte(e);return G5.reduce(function(n,i){return n.concat(t.filter(function(o){return o.phase===i}))},[])}function ate(e){var t;return function(){return t||(t=new Promise(function(n){Promise.resolve().then(function(){t=void 0,n(e())})})),t}}function kf(e){for(var t=arguments.length,n=new Array(t>1?t-1:0),i=1;i<t;i++)n[i-1]=arguments[i];return[].concat(n).reduce(function(o,c){return o.replace(/%s/,c)},e)}var Tp='Popper: modifier "%s" provided an invalid %s property, expected %s but got %s',ite='Popper: modifier "%s" requires "%s", but "%s" modifier is not available',XM=["name","enabled","phase","fn","effect","requires","options"];function ote(e){e.forEach(function(t){[].concat(Object.keys(t),XM).filter(function(n,i,o){return o.indexOf(n)===i}).forEach(function(n){switch(n){case"name":typeof t.name!="string"&&console.error(kf(Tp,String(t.name),'"name"','"string"','"'+String(t.name)+'"'));break;case"enabled":typeof t.enabled!="boolean"&&console.error(kf(Tp,t.name,'"enabled"','"boolean"','"'+String(t.enabled)+'"'));break;case"phase":G5.indexOf(t.phase)<0&&console.error(kf(Tp,t.name,'"phase"',"either "+G5.join(", "),'"'+String(t.phase)+'"'));break;case"fn":typeof t.fn!="function"&&console.error(kf(Tp,t.name,'"fn"','"function"','"'+String(t.fn)+'"'));break;case"effect":t.effect!=null&&typeof t.effect!="function"&&console.error(kf(Tp,t.name,'"effect"','"function"','"'+String(t.fn)+'"'));break;case"requires":t.requires!=null&&!Array.isArray(t.requires)&&console.error(kf(Tp,t.name,'"requires"','"array"','"'+String(t.requires)+'"'));break;case"requiresIfExists":Array.isArray(t.requiresIfExists)||console.error(kf(Tp,t.name,'"requiresIfExists"','"array"','"'+String(t.requiresIfExists)+'"'));break;case"options":case"data":break;default:console.error('PopperJS: an invalid property has been provided to the "'+t.name+'" modifier, valid properties are '+XM.map(function(i){return'"'+i+'"'}).join(", ")+'; but 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dO(e){const{focusBorderColor:t,errorBorderColor:n}=e;return{focusBorderColor:t||Be("blue.500","blue.300")(e),errorBorderColor:n||Be("red.500","red.300")(e)}}var Ise=yc(e=>{const{theme:t}=e,{focusBorderColor:n,errorBorderColor:i}=dO(e);return{field:{border:"1px solid",borderColor:"inherit",bg:"inherit",_hover:{borderColor:Be("gray.300","whiteAlpha.400")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Ma(t,i),boxShadow:`0 0 0 1px ${Ma(t,i)}`},_focusVisible:{zIndex:1,borderColor:Ma(t,n),boxShadow:`0 0 0 1px ${Ma(t,n)}`}},addon:{border:"1px solid",borderColor:Be("inherit","whiteAlpha.50")(e),bg:Be("gray.100","whiteAlpha.300")(e)}}}),Lse=yc(e=>{const{theme:t}=e,{focusBorderColor:n,errorBorderColor:i}=dO(e);return{field:{border:"2px solid",borderColor:"transparent",bg:Be("gray.100","whiteAlpha.50")(e),_hover:{bg:Be("gray.200","whiteAlpha.100")(e)},_readOnly:{boxShadow:"none 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solid",borderColor:"inherit",borderRadius:"0",px:"0",bg:"transparent"}}}),zse=yc({field:{bg:"transparent",px:"0",height:"auto"},addon:{bg:"transparent",px:"0",height:"auto"}}),Bse={outline:Ise,filled:Lse,flushed:Fse,unstyled:zse},ir=Dse({baseStyle:Pse,sizes:Mse,variants:Bse,defaultProps:{size:"md",variant:"outline"}}),Use=e=>({bg:Be("gray.100","whiteAlpha")(e),borderRadius:"md",borderWidth:"1px",borderBottomWidth:"3px",fontSize:"0.8em",fontWeight:"bold",lineHeight:"normal",px:"0.4em",whiteSpace:"nowrap"}),$se={baseStyle:Use},jse={transitionProperty:"common",transitionDuration:"fast",transitionTimingFunction:"ease-out",cursor:"pointer",textDecoration:"none",outline:"none",color:"inherit",_hover:{textDecoration:"underline"},_focusVisible:{boxShadow:"outline"}},Vse={baseStyle:jse},{defineMultiStyleConfig:Hse,definePartsStyle:Wse}=Pr(Gae.keys),Gse={marginEnd:"2",display:"inline",verticalAlign:"text-bottom"},Yse=Wse({icon:Gse}),qse=Hse({baseStyle:Yse}),{defineMultiStyleConfig:Kse,definePartsStyle:Xse}=Pr(Yae.keys),Zse=e=>({bg:Be("#fff","gray.700")(e),boxShadow:Be("sm","dark-lg")(e),color:"inherit",minW:"3xs",py:"2",zIndex:1,borderRadius:"md",borderWidth:"1px"}),Qse=e=>({py:"1.5",px:"3",transitionProperty:"background",transitionDuration:"ultra-fast",transitionTimingFunction:"ease-in",_focus:{bg:Be("gray.100","whiteAlpha.100")(e)},_active:{bg:Be("gray.200","whiteAlpha.200")(e)},_expanded:{bg:Be("gray.100","whiteAlpha.100")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),Jse={mx:4,my:2,fontWeight:"semibold",fontSize:"sm"},ele={opacity:.6},tle={border:0,borderBottom:"1px solid",borderColor:"inherit",my:"2",opacity:.6},nle={transitionProperty:"common",transitionDuration:"normal"},rle=Xse(e=>({button:nle,list:ra(Zse,e),item:ra(Qse,e),groupTitle:Jse,command:ele,divider:tle})),ale=Kse({baseStyle:rle}),{defineMultiStyleConfig:ile,definePartsStyle:sA}=Pr(qae.keys),ole={bg:"blackAlpha.600",zIndex:"modal"},sle=e=>{const{isCentered:t,scrollBehavior:n}=e;return{display:"flex",zIndex:"modal",justifyContent:"center",alignItems:t?"center":"flex-start",overflow:n==="inside"?"hidden":"auto"}},lle=e=>{const{scrollBehavior:t}=e;return{borderRadius:"md",bg:Be("white","gray.700")(e),color:"inherit",my:"16",zIndex:"modal",maxH:t==="inside"?"calc(100% - 7.5rem)":void 0,boxShadow:Be("lg","dark-lg")(e)}},ule={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},cle={position:"absolute",top:"2",insetEnd:"3"},fle=e=>{const{scrollBehavior:t}=e;return{px:"6",py:"2",flex:"1",overflow:t==="inside"?"auto":void 0}},dle={px:"6",py:"4"},ple=sA(e=>({overlay:ole,dialogContainer:ra(sle,e),dialog:ra(lle,e),header:ule,closeButton:cle,body:ra(fle,e),footer:dle}));function wl(e){return sA(e==="full"?{dialog:{maxW:"100vw",minH:"$100vh",my:"0",borderRadius:"0"}}:{dialog:{maxW:e}})}var mle={xs:wl("xs"),sm:wl("sm"),md:wl("md"),lg:wl("lg"),xl:wl("xl"),"2xl":wl("2xl"),"3xl":wl("3xl"),"4xl":wl("4xl"),"5xl":wl("5xl"),"6xl":wl("6xl"),full:wl("full")},hle=ile({baseStyle:ple,sizes:mle,defaultProps:{size:"md"}}),vle={letterSpacings:{tighter:"-0.05em",tight:"-0.025em",normal:"0",wide:"0.025em",wider:"0.05em",widest:"0.1em"},lineHeights:{normal:"normal",none:1,shorter:1.25,short:1.375,base:1.5,tall:1.625,taller:"2",3:".75rem",4:"1rem",5:"1.25rem",6:"1.5rem",7:"1.75rem",8:"2rem",9:"2.25rem",10:"2.5rem"},fontWeights:{hairline:100,thin:200,light:300,normal:400,medium:500,semibold:600,bold:700,extrabold:800,black:900},fonts:{heading:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple 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solid",borderStartColor:Be("inherit","whiteAlpha.300")(e),color:Be("inherit","whiteAlpha.800")(e),_active:{bg:Be("gray.200","whiteAlpha.300")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),wle=yF(e=>({root:ble,field:Sle,stepperGroup:xle,stepper:ra(Cle,e)??{}}));function Px(e){var t,n;const i=(t=ir.sizes)==null?void 0:t[e],o={lg:"md",md:"md",sm:"sm",xs:"sm"},c=((n=i.field)==null?void 0:n.fontSize)??"md",u=gF.fontSizes[c];return yF({field:{...i.field,paddingInlineEnd:bF.reference,verticalAlign:"top"},stepper:{fontSize:gc(u).multiply(.75).toString(),_first:{borderTopEndRadius:o[e]},_last:{borderBottomEndRadius:o[e],mt:"-1px",borderTopWidth:1}}})}var Nle={xs:Px("xs"),sm:Px("sm"),md:Px("md"),lg:Px("lg")},Ele=gle({baseStyle:wle,sizes:Nle,variants:ir.variants,defaultProps:ir.defaultProps}),A6,_le={...(A6=ir.baseStyle)==null?void 0:A6.field,textAlign:"center"},Tle={lg:{fontSize:"lg",w:12,h:12,borderRadius:"md"},md:{fontSize:"md",w:10,h:10,borderRadius:"md"},sm:{fontSize:"sm",w:8,h:8,borderRadius:"sm"},xs:{fontSize:"xs",w:6,h:6,borderRadius:"sm"}},k6,Rle={outline:e=>{var t,n;return((n=ra((t=ir.variants)==null?void 0:t.outline,e))==null?void 0:n.field)??{}},flushed:e=>{var t,n;return((n=ra((t=ir.variants)==null?void 0:t.flushed,e))==null?void 0:n.field)??{}},filled:e=>{var t,n;return((n=ra((t=ir.variants)==null?void 0:t.filled,e))==null?void 0:n.field)??{}},unstyled:((k6=ir.variants)==null?void 0:k6.unstyled.field)??{}},Ale={baseStyle:_le,sizes:Tle,variants:Rle,defaultProps:ir.defaultProps},{defineMultiStyleConfig:kle,definePartsStyle:Ole}=Pr(Xae.keys),BR=Ao("popper-bg"),Dle=Ao("popper-arrow-bg"),Ple=Ao("popper-arrow-shadow-color"),Mle={zIndex:10},Ile=e=>{const t=Be("white","gray.700")(e),n=Be("gray.200","whiteAlpha.300")(e);return{[BR.variable]:`colors.${t}`,bg:BR.reference,[Dle.variable]:BR.reference,[Ple.variable]:`colors.${n}`,width:"xs",border:"1px solid",borderColor:"inherit",borderRadius:"md",boxShadow:"sm",zIndex:"inherit",_focusVisible:{outline:0,boxShadow:"outline"}}},Lle={px:3,py:2,borderBottomWidth:"1px"},Fle={px:3,py:2},zle={px:3,py:2,borderTopWidth:"1px"},Ble={position:"absolute",borderRadius:"md",top:1,insetEnd:2,padding:2},Ule=Ole(e=>({popper:Mle,content:Ile(e),header:Lle,body:Fle,footer:zle,closeButton:Ble})),$le=kle({baseStyle:Ule}),{defineMultiStyleConfig:jle,definePartsStyle:Y0}=Pr(Zae.keys),Vle=e=>{const{colorScheme:t,theme:n,isIndeterminate:i,hasStripe:o}=e,c=Be(N6(),N6("1rem","rgba(0,0,0,0.1)"))(e),u=Be(`${t}.500`,`${t}.200`)(e),m=`linear-gradient(
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t=Be("gray.100","gray.800")(e),n=Be("gray.400","gray.600")(e),{startColor:i=t,endColor:o=n,theme:c}=e,u=Ma(c,i),m=Ma(c,o);return{[lue.variable]:u,[uue.variable]:m,opacity:.7,borderRadius:"2px",borderColor:u,background:m}},fue={baseStyle:cue},due=e=>({borderRadius:"md",fontWeight:"semibold",_focusVisible:{boxShadow:"outline",padding:"4",position:"fixed",top:"6",insetStart:"6",bg:Be("white","gray.700")(e)}}),pue={baseStyle:due},{defineMultiStyleConfig:mue,definePartsStyle:MC}=Pr(eie.keys),Py=ad("slider-thumb-size"),My=ad("slider-track-size"),hue=e=>{const{orientation:t}=e;return{display:"inline-block",position:"relative",cursor:"pointer",_disabled:{opacity:.6,cursor:"default",pointerEvents:"none"},...cO({orientation:t,vertical:{h:"100%"},horizontal:{w:"100%"}})}},vue=e=>({...cO({orientation:e.orientation,horizontal:{h:My.reference},vertical:{w:My.reference}}),overflow:"hidden",borderRadius:"sm",bg:Be("gray.200","whiteAlpha.200")(e),_disabled:{bg:Be("gray.300","whiteAlpha.300")(e)}}),gue=e=>{const{orientation:t}=e;return{...cO({orientation:t,vertical:{left:"50%",transform:"translateX(-50%)",_active:{transform:"translateX(-50%) 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Error{constructor(t,n,i){super(t),this.description=n,this.context=i,this.type="TransportError"}}class Cz extends ha{constructor(t){super(),this.writable=!1,LC(this,t),this.opts=t,this.query=t.query,this.readyState="",this.socket=t.socket}onError(t,n,i){return super.emitReserved("error",new Xpe(t,n,i)),this}open(){return(this.readyState==="closed"||this.readyState==="")&&(this.readyState="opening",this.doOpen()),this}close(){return(this.readyState==="opening"||this.readyState==="open")&&(this.doClose(),this.onClose()),this}send(t){this.readyState==="open"&&this.write(t)}onOpen(){this.readyState="open",this.writable=!0,super.emitReserved("open")}onData(t){const n=gz(t,this.socket.binaryType);this.onPacket(n)}onPacket(t){super.emitReserved("packet",t)}onClose(t){this.readyState="closed",super.emitReserved("close",t)}}const wz="0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_".split(""),_A=64,Zpe={};let xI=0,Lx=0,CI;function wI(e){let t="";do 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o=location.port;o||(o=i?"443":"80"),this.xd=typeof location<"u"&&t.hostname!==location.hostname||o!==t.port,this.xs=t.secure!==i}const n=t&&t.forceBase64;this.supportsBinary=tme&&!n}get name(){return"polling"}doOpen(){this.poll()}pause(t){this.readyState="pausing";const n=()=>{this.readyState="paused",t()};if(this.polling||!this.writable){let i=0;this.polling&&(i++,this.once("pollComplete",function(){--i||n()})),this.writable||(i++,this.once("drain",function(){--i||n()}))}else n()}poll(){this.polling=!0,this.doPoll(),this.emitReserved("poll")}onData(t){const n=i=>{if(this.readyState==="opening"&&i.type==="open"&&this.onOpen(),i.type==="close")return this.onClose({description:"transport closed by the server"}),!1;this.onPacket(i)};Vpe(t,this.socket.binaryType).forEach(n),this.readyState!=="closed"&&(this.polling=!1,this.emitReserved("pollComplete"),this.readyState==="open"&&this.poll())}doClose(){const t=()=>{this.write([{type:"close"}])};this.readyState==="open"?t():this.once("open",t)}write(t){this.writable=!1,jpe(t,n=>{this.doWrite(n,()=>{this.writable=!0,this.emitReserved("drain")})})}uri(){let t=this.query||{};const n=this.opts.secure?"https":"http";let i="";this.opts.timestampRequests!==!1&&(t[this.opts.timestampParam]=Nz()),!this.supportsBinary&&!t.sid&&(t.b64=1),this.opts.port&&(n==="https"&&Number(this.opts.port)!==443||n==="http"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port);const o=Ez(t),c=this.opts.hostname.indexOf(":")!==-1;return n+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(o.length?"?"+o:"")}request(t={}){return Object.assign(t,{xd:this.xd,xs:this.xs},this.opts),new bu(this.uri(),t)}doWrite(t,n){const i=this.request({method:"POST",data:t});i.on("success",n),i.on("error",(o,c)=>{this.onError("xhr post error",o,c)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(n,i)=>{this.onError("xhr poll error",n,i)}),this.pollXhr=t}}class bu extends ha{constructor(t,n){super(),LC(this,n),this.opts=n,this.method=n.method||"GET",this.uri=t,this.async=n.async!==!1,this.data=n.data!==void 0?n.data:null,this.create()}create(){const t=xz(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");t.xdomain=!!this.opts.xd,t.xscheme=!!this.opts.xs;const n=this.xhr=new Tz(t);try{n.open(this.method,this.uri,this.async);try{if(this.opts.extraHeaders){n.setDisableHeaderCheck&&n.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&n.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{n.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{n.setRequestHeader("Accept","*/*")}catch{}"withCredentials"in n&&(n.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(n.timeout=this.opts.requestTimeout),n.onreadystatechange=()=>{n.readyState===4&&(n.status===200||n.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof n.status=="number"?n.status:0)},0))},n.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=bu.requestsCount++,bu.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=eme,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete bu.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}}bu.requestsCount=0;bu.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",NI);else if(typeof addEventListener=="function"){const e="onpagehide"in Gf?"pagehide":"unload";addEventListener(e,NI,!1)}}function NI(){for(let e in bu.requests)bu.requests.hasOwnProperty(e)&&bu.requests[e].abort()}const rme=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),Fx=Gf.WebSocket||Gf.MozWebSocket,EI=!0,ame="arraybuffer",_I=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class ime extends Cz{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),n=this.opts.protocols,i=_I?{}:xz(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(i.headers=this.opts.extraHeaders);try{this.ws=EI&&!_I?n?new Fx(t,n):new Fx(t):new Fx(t,n,i)}catch(o){return this.emitReserved("error",o)}this.ws.binaryType=this.socket.binaryType||ame,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const i=t[n],o=n===t.length-1;vz(i,this.supportsBinary,c=>{const u={};try{EI&&this.ws.send(c)}catch{}o&&rme(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){let t=this.query||{};const n=this.opts.secure?"wss":"ws";let i="";this.opts.port&&(n==="wss"&&Number(this.opts.port)!==443||n==="ws"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port),this.opts.timestampRequests&&(t[this.opts.timestampParam]=Nz()),this.supportsBinary||(t.b64=1);const o=Ez(t),c=this.opts.hostname.indexOf(":")!==-1;return n+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(o.length?"?"+o:"")}check(){return!!Fx}}const ome={websocket:ime,polling:nme},sme=/^(?:(?![^:@]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@]*)(?::([^:@]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,lme=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function TA(e){const t=e,n=e.indexOf("["),i=e.indexOf("]");n!=-1&&i!=-1&&(e=e.substring(0,n)+e.substring(n,i).replace(/:/g,";")+e.substring(i,e.length));let o=sme.exec(e||""),c={},u=14;for(;u--;)c[lme[u]]=o[u]||"";return n!=-1&&i!=-1&&(c.source=t,c.host=c.host.substring(1,c.host.length-1).replace(/;/g,":"),c.authority=c.authority.replace("[","").replace("]","").replace(/;/g,":"),c.ipv6uri=!0),c.pathNames=ume(c,c.path),c.queryKey=cme(c,c.query),c}function ume(e,t){const n=/\/{2,9}/g,i=t.replace(n,"/").split("/");return(t.substr(0,1)=="/"||t.length===0)&&i.splice(0,1),t.substr(t.length-1,1)=="/"&&i.splice(i.length-1,1),i}function cme(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(i,o,c){o&&(n[o]=c)}),n}class $f extends ha{constructor(t,n={}){super(),t&&typeof t=="object"&&(n=t,t=null),t?(t=TA(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=TA(n.host).host),LC(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket"],this.readyState="",this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!0},n),this.opts.path=this.opts.path.replace(/\/$/,"")+"/",typeof this.opts.query=="string"&&(this.opts.query=Qpe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&addEventListener("beforeunload",()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},!1),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Sz,n.transport=t,this.id&&(n.sid=this.id);const i=Object.assign({},this.opts.transportOptions[t],this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port});return new ome[t](i)}open(){let t;if(this.opts.rememberUpgrade&&$f.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),i=!1;$f.priorWebsocketSuccess=!1;const o=()=>{i||(n.send([{type:"ping",data:"probe"}]),n.once("packet",x=>{if(!i)if(x.type==="pong"&&x.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;$f.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{i||this.readyState!=="closed"&&(b(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const w=new Error("probe error");w.transport=n.name,this.emitReserved("upgradeError",w)}}))};function c(){i||(i=!0,b(),n.close(),n=null)}const u=x=>{const w=new Error("probe error: "+x);w.transport=n.name,c(),this.emitReserved("upgradeError",w)};function m(){u("transport closed")}function h(){u("socket closed")}function v(x){n&&x.name!==n.name&&c()}const b=()=>{n.removeListener("open",o),n.removeListener("error",u),n.removeListener("close",m),this.off("close",h),this.off("upgrading",v)};n.once("open",o),n.once("error",u),n.once("close",m),this.once("close",h),this.once("upgrading",v),n.open()}onOpen(){if(this.readyState="open",$f.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade&&this.transport.pause){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let i=0;i<this.writeBuffer.length;i++){const o=this.writeBuffer[i].data;if(o&&(n+=qpe(o)),i>0&&n>this.maxPayload)return this.writeBuffer.slice(0,i);n+=2}return this.writeBuffer}write(t,n,i){return this.sendPacket("message",t,n,i),this}send(t,n,i){return this.sendPacket("message",t,n,i),this}sendPacket(t,n,i,o){if(typeof n=="function"&&(o=n,n=void 0),typeof i=="function"&&(o=i,i=null),this.readyState==="closing"||this.readyState==="closed")return;i=i||{},i.compress=i.compress!==!1;const c={type:t,data:n,options:i};this.emitReserved("packetCreate",c),this.writeBuffer.push(c),o&&this.once("flush",o),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},i=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?i():t()}):this.upgrading?i():t()),this}onError(t){$f.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&removeEventListener("offline",this.offlineEventListener,!1),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let i=0;const o=t.length;for(;i<o;i++)~this.transports.indexOf(t[i])&&n.push(t[i]);return n}}$f.protocol=Sz;function fme(e,t="",n){let i=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),i=TA(e)),i.port||(/^(http|ws)$/.test(i.protocol)?i.port="80":/^(http|ws)s$/.test(i.protocol)&&(i.port="443")),i.path=i.path||"/";const c=i.host.indexOf(":")!==-1?"["+i.host+"]":i.host;return i.id=i.protocol+"://"+c+":"+i.port+t,i.href=i.protocol+"://"+c+(n&&n.port===i.port?"":":"+i.port),i}const dme=typeof ArrayBuffer=="function",pme=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,Rz=Object.prototype.toString,mme=typeof Blob=="function"||typeof Blob<"u"&&Rz.call(Blob)==="[object BlobConstructor]",hme=typeof File=="function"||typeof File<"u"&&Rz.call(File)==="[object FileConstructor]";function kO(e){return dme&&(e instanceof ArrayBuffer||pme(e))||mme&&e instanceof Blob||hme&&e instanceof File}function i2(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,i=e.length;n<i;n++)if(i2(e[n]))return!0;return!1}if(kO(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return i2(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&i2(e[n]))return!0;return!1}function vme(e){const t=[],n=e.data,i=e;return i.data=RA(n,t),i.attachments=t.length,{packet:i,buffers:t}}function RA(e,t){if(!e)return e;if(kO(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let i=0;i<e.length;i++)n[i]=RA(e[i],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const i in e)Object.prototype.hasOwnProperty.call(e,i)&&(n[i]=RA(e[i],t));return n}return e}function gme(e,t){return e.data=AA(e.data,t),e.attachments=void 0,e}function AA(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=AA(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=AA(e[n],t));return e}const yme=5;var qn;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(qn||(qn={}));class bme{constructor(t){this.replacer=t}encode(t){return(t.type===qn.EVENT||t.type===qn.ACK)&&i2(t)?(t.type=t.type===qn.EVENT?qn.BINARY_EVENT:qn.BINARY_ACK,this.encodeAsBinary(t)):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===qn.BINARY_EVENT||t.type===qn.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=vme(t),i=this.encodeAsString(n.packet),o=n.buffers;return o.unshift(i),o}}class OO extends ha{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t),n.type===qn.BINARY_EVENT||n.type===qn.BINARY_ACK?(this.reconstructor=new Sme(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(kO(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const i={type:Number(t.charAt(0))};if(qn[i.type]===void 0)throw new Error("unknown packet type "+i.type);if(i.type===qn.BINARY_EVENT||i.type===qn.BINARY_ACK){const c=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const u=t.substring(c,n);if(u!=Number(u)||t.charAt(n)!=="-")throw new Error("Illegal attachments");i.attachments=Number(u)}if(t.charAt(n+1)==="/"){const c=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););i.nsp=t.substring(c,n)}else i.nsp="/";const o=t.charAt(n+1);if(o!==""&&Number(o)==o){const c=n+1;for(;++n;){const u=t.charAt(n);if(u==null||Number(u)!=u){--n;break}if(n===t.length)break}i.id=Number(t.substring(c,n+1))}if(t.charAt(++n)){const c=this.tryParse(t.substr(n));if(OO.isPayloadValid(i.type,c))i.data=c;else throw new Error("invalid payload")}return i}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case qn.CONNECT:return typeof n=="object";case qn.DISCONNECT:return n===void 0;case qn.CONNECT_ERROR:return typeof n=="string"||typeof n=="object";case qn.EVENT:case qn.BINARY_EVENT:return Array.isArray(n)&&n.length>0;case qn.ACK:case qn.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&this.reconstructor.finishedReconstruction()}}class Sme{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=gme(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const xme=Object.freeze(Object.defineProperty({__proto__:null,protocol:yme,get PacketType(){return qn},Encoder:bme,Decoder:OO},Symbol.toStringTag,{value:"Module"}));function Tl(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Cme=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Az extends ha{constructor(t,n,i){super(),this.connected=!1,this.receiveBuffer=[],this.sendBuffer=[],this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,i&&i.auth&&(this.auth=i.auth),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Tl(t,"open",this.onopen.bind(this)),Tl(t,"packet",this.onpacket.bind(this)),Tl(t,"error",this.onerror.bind(this)),Tl(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Cme.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');n.unshift(t);const i={type:qn.EVENT,data:n};if(i.options={},i.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const u=this.ids++,m=n.pop();this._registerAckCallback(u,m),i.id=u}const o=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!o||!this.connected)||(this.connected?(this.notifyOutgoingListeners(i),this.packet(i)):this.sendBuffer.push(i)),this.flags={},this}_registerAckCallback(t,n){const i=this.flags.timeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let c=0;c<this.sendBuffer.length;c++)this.sendBuffer[c].id===t&&this.sendBuffer.splice(c,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...c)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...c])}}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this.packet({type:qn.CONNECT,data:t})}):this.packet({type:qn.CONNECT,data:this.auth})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case qn.CONNECT:if(t.data&&t.data.sid){const o=t.data.sid;this.onconnect(o)}else this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case qn.EVENT:case qn.BINARY_EVENT:this.onevent(t);break;case qn.ACK:case qn.BINARY_ACK:this.onack(t);break;case qn.DISCONNECT:this.ondisconnect();break;case qn.CONNECT_ERROR:this.destroy();const i=new Error(t.data.message);i.data=t.data.data,this.emitReserved("connect_error",i);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const i of n)i.apply(this,t)}super.emit.apply(this,t)}ack(t){const n=this;let i=!1;return function(...o){i||(i=!0,n.packet({type:qn.ACK,id:t,data:o}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t){this.id=t,this.connected=!0,this.emitBuffered(),this.emitReserved("connect")}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:qn.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let i=0;i<n.length;i++)if(t===n[i])return n.splice(i,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let i=0;i<n.length;i++)if(t===n[i])return n.splice(i,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const i of n)i.apply(this,t.data)}}}function xv(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}xv.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=(Math.floor(t*10)&1)==0?e-n:e+n}return Math.min(e,this.max)|0};xv.prototype.reset=function(){this.attempts=0};xv.prototype.setMin=function(e){this.ms=e};xv.prototype.setMax=function(e){this.max=e};xv.prototype.setJitter=function(e){this.jitter=e};class kA extends ha{constructor(t,n){var i;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,LC(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((i=n.randomizationFactor)!==null&&i!==void 0?i:.5),this.backoff=new xv({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const o=n.parser||xme;this.encoder=new o.Encoder,this.decoder=new o.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new $f(this.uri,this.opts);const n=this.engine,i=this;this._readyState="opening",this.skipReconnect=!1;const o=Tl(n,"open",function(){i.onopen(),t&&t()}),c=Tl(n,"error",u=>{i.cleanup(),i._readyState="closed",this.emitReserved("error",u),t?t(u):i.maybeReconnectOnOpen()});if(this._timeout!==!1){const u=this._timeout;u===0&&o();const m=this.setTimeoutFn(()=>{o(),n.close(),n.emit("error",new Error("timeout"))},u);this.opts.autoUnref&&m.unref(),this.subs.push(function(){clearTimeout(m)})}return this.subs.push(o),this.subs.push(c),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Tl(t,"ping",this.onping.bind(this)),Tl(t,"data",this.ondata.bind(this)),Tl(t,"error",this.onerror.bind(this)),Tl(t,"close",this.onclose.bind(this)),Tl(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch{this.onclose("parse error")}}ondecoded(t){this.emitReserved("packet",t)}onerror(t){this.emitReserved("error",t)}socket(t,n){let i=this.nsps[t];return i||(i=new Az(this,t,n),this.nsps[t]=i),i}_destroy(t){const n=Object.keys(this.nsps);for(const i of n)if(this.nsps[i].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let i=0;i<n.length;i++)this.engine.write(n[i],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const i=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(o=>{o?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",o)):t.onreconnect()}))},n);this.opts.autoUnref&&i.unref(),this.subs.push(function(){clearTimeout(i)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const $0={};function o2(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=fme(e,t.path||"/socket.io"),i=n.source,o=n.id,c=n.path,u=$0[o]&&c in $0[o].nsps,m=t.forceNew||t["force new connection"]||t.multiplex===!1||u;let h;return m?h=new kA(i,t):($0[o]||($0[o]=new kA(i,t)),h=$0[o]),n.query&&!t.query&&(t.query=n.queryKey),h.socket(n.path,t)}Object.assign(o2,{Manager:kA,Socket:Az,io:o2,connect:o2});let zx;const wme=new Uint8Array(16);function Nme(){if(!zx&&(zx=typeof crypto<"u"&&crypto.getRandomValues&&crypto.getRandomValues.bind(crypto),!zx))throw new Error("crypto.getRandomValues() not supported. See https://github.com/uuidjs/uuid#getrandomvalues-not-supported");return zx(wme)}const di=[];for(let e=0;e<256;++e)di.push((e+256).toString(16).slice(1));function Eme(e,t=0){return(di[e[t+0]]+di[e[t+1]]+di[e[t+2]]+di[e[t+3]]+"-"+di[e[t+4]]+di[e[t+5]]+"-"+di[e[t+6]]+di[e[t+7]]+"-"+di[e[t+8]]+di[e[t+9]]+"-"+di[e[t+10]]+di[e[t+11]]+di[e[t+12]]+di[e[t+13]]+di[e[t+14]]+di[e[t+15]]).toLowerCase()}const _me=typeof crypto<"u"&&crypto.randomUUID&&crypto.randomUUID.bind(crypto),TI={randomUUID:_me};function j0(e,t,n){if(TI.randomUUID&&!t&&!e)return TI.randomUUID();e=e||{};const i=e.random||(e.rng||Nme)();if(i[6]=i[6]&15|64,i[8]=i[8]&63|128,t){n=n||0;for(let o=0;o<16;++o)t[n+o]=i[o];return t}return Eme(i)}var Tme=/d{1,4}|D{3,4}|m{1,4}|yy(?:yy)?|([HhMsTt])\1?|W{1,2}|[LlopSZN]|"[^"]*"|'[^']*'/g,Rme=/\b(?:[A-Z]{1,3}[A-Z][TC])(?:[-+]\d{4})?|((?:Australian )?(?:Pacific|Mountain|Central|Eastern|Atlantic) (?:Standard|Daylight|Prevailing) Time)\b/g,Ame=/[^-+\dA-Z]/g;function to(e,t,n,i){if(arguments.length===1&&typeof e=="string"&&!/\d/.test(e)&&(t=e,e=void 0),e=e||e===0?e:new Date,e instanceof Date||(e=new Date(e)),isNaN(e))throw TypeError("Invalid date");t=String(RI[t]||t||RI.default);var o=t.slice(0,4);(o==="UTC:"||o==="GMT:")&&(t=t.slice(4),n=!0,o==="GMT:"&&(i=!0));var c=function(){return n?"getUTC":"get"},u=function(){return e[c()+"Date"]()},m=function(){return e[c()+"Day"]()},h=function(){return e[c()+"Month"]()},v=function(){return e[c()+"FullYear"]()},b=function(){return e[c()+"Hours"]()},x=function(){return e[c()+"Minutes"]()},w=function(){return e[c()+"Seconds"]()},N=function(){return e[c()+"Milliseconds"]()},R=function(){return n?0:e.getTimezoneOffset()},O=function(){return kme(e)},M=function(){return Ome(e)},B={d:function(){return u()},dd:function(){return Zo(u())},ddd:function(){return bo.dayNames[m()]},DDD:function(){return AI({y:v(),m:h(),d:u(),_:c(),dayName:bo.dayNames[m()],short:!0})},dddd:function(){return bo.dayNames[m()+7]},DDDD:function(){return AI({y:v(),m:h(),d:u(),_:c(),dayName:bo.dayNames[m()+7]})},m:function(){return h()+1},mm:function(){return Zo(h()+1)},mmm:function(){return bo.monthNames[h()]},mmmm:function(){return bo.monthNames[h()+12]},yy:function(){return String(v()).slice(2)},yyyy:function(){return Zo(v(),4)},h:function(){return b()%12||12},hh:function(){return Zo(b()%12||12)},H:function(){return b()},HH:function(){return Zo(b())},M:function(){return x()},MM:function(){return Zo(x())},s:function(){return w()},ss:function(){return Zo(w())},l:function(){return Zo(N(),3)},L:function(){return Zo(Math.floor(N()/10))},t:function(){return b()<12?bo.timeNames[0]:bo.timeNames[1]},tt:function(){return b()<12?bo.timeNames[2]:bo.timeNames[3]},T:function(){return b()<12?bo.timeNames[4]:bo.timeNames[5]},TT:function(){return b()<12?bo.timeNames[6]:bo.timeNames[7]},Z:function(){return i?"GMT":n?"UTC":Dme(e)},o:function(){return(R()>0?"-":"+")+Zo(Math.floor(Math.abs(R())/60)*100+Math.abs(R())%60,4)},p:function(){return(R()>0?"-":"+")+Zo(Math.floor(Math.abs(R())/60),2)+":"+Zo(Math.floor(Math.abs(R())%60),2)},S:function(){return["th","st","nd","rd"][u()%10>3?0:(u()%100-u()%10!=10)*u()%10]},W:function(){return O()},WW:function(){return Zo(O())},N:function(){return M()}};return t.replace(Tme,function(I){return I in B?B[I]():I.slice(1,I.length-1)})}var RI={default:"ddd mmm dd yyyy HH:MM:ss",shortDate:"m/d/yy",paddedShortDate:"mm/dd/yyyy",mediumDate:"mmm d, yyyy",longDate:"mmmm d, yyyy",fullDate:"dddd, mmmm d, yyyy",shortTime:"h:MM TT",mediumTime:"h:MM:ss TT",longTime:"h:MM:ss TT Z",isoDate:"yyyy-mm-dd",isoTime:"HH:MM:ss",isoDateTime:"yyyy-mm-dd'T'HH:MM:sso",isoUtcDateTime:"UTC:yyyy-mm-dd'T'HH:MM:ss'Z'",expiresHeaderFormat:"ddd, dd mmm yyyy HH:MM:ss Z"},bo={dayNames:["Sun","Mon","Tue","Wed","Thu","Fri","Sat","Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],monthNames:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec","January","February","March","April","May","June","July","August","September","October","November","December"],timeNames:["a","p","am","pm","A","P","AM","PM"]},Zo=function(t){var n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:2;return String(t).padStart(n,"0")},AI=function(t){var n=t.y,i=t.m,o=t.d,c=t._,u=t.dayName,m=t.short,h=m===void 0?!1:m,v=new Date,b=new Date;b.setDate(b[c+"Date"]()-1);var x=new Date;x.setDate(x[c+"Date"]()+1);var w=function(){return v[c+"Date"]()},N=function(){return v[c+"Month"]()},R=function(){return v[c+"FullYear"]()},O=function(){return b[c+"Date"]()},M=function(){return b[c+"Month"]()},B=function(){return b[c+"FullYear"]()},I=function(){return x[c+"Date"]()},F=function(){return x[c+"Month"]()},z=function(){return x[c+"FullYear"]()};return R()===n&&N()===i&&w()===o?h?"Tdy":"Today":B()===n&&M()===i&&O()===o?h?"Ysd":"Yesterday":z()===n&&F()===i&&I()===o?h?"Tmw":"Tomorrow":u},kme=function(t){var n=new Date(t.getFullYear(),t.getMonth(),t.getDate());n.setDate(n.getDate()-(n.getDay()+6)%7+3);var i=new Date(n.getFullYear(),0,4);i.setDate(i.getDate()-(i.getDay()+6)%7+3);var o=n.getTimezoneOffset()-i.getTimezoneOffset();n.setHours(n.getHours()-o);var c=(n-i)/(864e5*7);return 1+Math.floor(c)},Ome=function(t){var n=t.getDay();return n===0&&(n=7),n},Dme=function(t){return(String(t).match(Rme)||[""]).pop().replace(Ame,"").replace(/GMT\+0000/g,"UTC")};const 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_he=()=>{const{images:e,currentImageUuid:t}=mr(o=>o.gallery),n=Ga(),i=()=>{n(Lme())};return e.length?_(Sn,{direction:"column",gap:2,pb:2,children:[_(Sn,{gap:2,wrap:"wrap",children:e.map(o=>{const{uuid:c}=o;return _(Ehe,{image:o,isSelected:t===c},c,!1,{fileName:zh,lineNumber:34,columnNumber:13},void 0)})},void 0,!1,{fileName:zh,lineNumber:29,columnNumber:7},void 0),_(Dl,{onClick:i,children:"Load more..."},void 0,!1,{fileName:zh,lineNumber:38,columnNumber:7},void 0)]},void 0,!0,{fileName:zh,lineNumber:28,columnNumber:5},void 0):_(_y,{height:"100%",position:"relative",children:_(Gr,{size:"xl",children:"No images in gallery"},void 0,!1,{fileName:zh,lineNumber:42,columnNumber:7},void 0)},void 0,!1,{fileName:zh,lineNumber:41,columnNumber:5},void 0)};var The="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/system/ProgressBar.tsx";const Rhe=Br(e=>e.system,e=>({isProcessing:e.isProcessing,currentStep:e.currentStep,totalSteps:e.totalSteps,currentStatusHasSteps:e.currentStatusHasSteps}),{memoizeOptions:{resultEqualityCheck:Yr.exports.isEqual}}),Ahe=()=>{const{isProcessing:e,currentStep:t,totalSteps:n,currentStatusHasSteps:i}=mr(Rhe),o=t?Math.round(t*100/n):0;return _(tF,{height:"10px",value:o,isIndeterminate:e&&!i},void 0,!1,{fileName:The,lineNumber:30,columnNumber:5},void 0)};function $z(e){return io({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0z"}},{tag:"path",attr:{d:"M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 17h-2v-2h2v2zm2.07-7.75l-.9.92C13.45 12.9 13 13.5 13 15h-2v-.5c0-1.1.45-2.1 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41 0-1.1-.9-2-2-2s-2 .9-2 2H8c0-2.21 1.79-4 4-4s4 1.79 4 4c0 .88-.36 1.68-.93 2.25z"}}]})(e)}function khe(e){return io({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 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Ohe=Br(e=>e.system,e=>{const{shouldDisplayInProgress:t,shouldConfirmOnDelete:n,shouldDisplayGuides:i}=e;return{shouldDisplayInProgress:t,shouldConfirmOnDelete:n,shouldDisplayGuides:i}},{memoizeOptions:{resultEqualityCheck:Yr.exports.isEqual}}),Dhe=({children:e})=>{const{isOpen:t,onOpen:n,onClose:i}=H5(),{isOpen:o,onOpen:c,onClose:u}=H5(),{shouldDisplayInProgress:m,shouldConfirmOnDelete:h,shouldDisplayGuides:v}=mr(Ohe),b=Ga(),x=()=>{Jz.purge().then(()=>{i(),c()})};return _(hi,{children:[k.exports.cloneElement(e,{onClick:n}),_(Dy,{isOpen:t,onClose:i,children:[_(L2,{},void 0,!1,{fileName:nr,lineNumber:101,columnNumber:9},void 0),_(I2,{children:[_(sO,{children:"Settings"},void 0,!1,{fileName:nr,lineNumber:103,columnNumber:11},void 0),_($8,{},void 0,!1,{fileName:nr,lineNumber:104,columnNumber:11},void 0),_(M2,{children:_(Sn,{gap:5,direction:"column",children:[_(xc,{children:_(ay,{children:[_(Cc,{marginBottom:1,children:"Display in-progress images (slower)"},void 0,!1,{fileName:nr,lineNumber:109,columnNumber:19},void 0),_(wc,{isChecked:m,onChange:w=>b(Rpe(w.target.checked))},void 0,!1,{fileName:nr,lineNumber:112,columnNumber:19},void 0)]},void 0,!0,{fileName:nr,lineNumber:108,columnNumber:17},void 0)},void 0,!1,{fileName:nr,lineNumber:107,columnNumber:15},void 0),_(xc,{children:_(ay,{children:[_(Cc,{marginBottom:1,children:"Confirm on delete"},void 0,!1,{fileName:nr,lineNumber:122,columnNumber:19},void 0),_(wc,{isChecked:h,onChange:w=>b(hz(w.target.checked))},void 0,!1,{fileName:nr,lineNumber:123,columnNumber:19},void 0)]},void 0,!0,{fileName:nr,lineNumber:121,columnNumber:17},void 0)},void 0,!1,{fileName:nr,lineNumber:120,columnNumber:15},void 0),_(xc,{children:_(ay,{children:[_(Cc,{marginBottom:1,children:"Display help guides in configuration menus"},void 0,!1,{fileName:nr,lineNumber:133,columnNumber:19},void 0),_(wc,{isChecked:v,onChange:w=>b(Ppe(w.target.checked))},void 0,!1,{fileName:nr,lineNumber:136,columnNumber:19},void 0)]},void 0,!0,{fileName:nr,lineNumber:132,columnNumber:17},void 0)},void 0,!1,{fileName:nr,lineNumber:131,columnNumber:15},void 0),_(Uk,{size:"md",children:"Reset Web UI"},void 0,!1,{fileName:nr,lineNumber:145,columnNumber:15},void 0),_(Gr,{children:"Resetting the web UI only resets the browser's local cache of your images and remembered settings. 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0,!1,{fileName:Mi,lineNumber:50,columnNumber:61},void 0),v=e=="light"?18:20;let b=u;return i&&c>1&&(b+=` [${o}/${c}]`),_(Sn,{minWidth:"max-content",alignItems:"center",gap:"1",pl:2,pr:1,children:[_(Uk,{size:"lg",children:"InvokeUI"},void 0,!1,{fileName:Mi,lineNumber:65,columnNumber:7},void 0),_(M7,{},void 0,!1,{fileName:Mi,lineNumber:67,columnNumber:7},void 0),_(Gr,{textColor:m,children:b},void 0,!1,{fileName:Mi,lineNumber:69,columnNumber:7},void 0),_(Dhe,{children:_(wo,{"aria-label":"Settings",variant:"link",fontSize:24,size:"sm",icon:_(khe,{},void 0,!1,{fileName:Mi,lineNumber:77,columnNumber:17},void 0)},void 0,!1,{fileName:Mi,lineNumber:72,columnNumber:9},void 0)},void 0,!1,{fileName:Mi,lineNumber:71,columnNumber:7},void 0),_(wo,{"aria-label":"Link to Github Issues",variant:"link",fontSize:23,size:"sm",icon:_(Ty,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion/issues",children:_($z,{},void 0,!1,{fileName:Mi,lineNumber:91,columnNumber:13},void 0)},void 0,!1,{fileName:Mi,lineNumber:87,columnNumber:11},void 0)},void 0,!1,{fileName:Mi,lineNumber:81,columnNumber:7},void 0),_(wo,{"aria-label":"Link to Github Repo",variant:"link",fontSize:20,size:"sm",icon:_(Ty,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion",children:_(ohe,{},void 0,!1,{fileName:Mi,lineNumber:103,columnNumber:13},void 0)},void 0,!1,{fileName:Mi,lineNumber:102,columnNumber:11},void 0)},void 0,!1,{fileName:Mi,lineNumber:96,columnNumber:7},void 0),_(wo,{"aria-label":"Toggle Dark Mode",onClick:t,variant:"link",size:"sm",fontSize:v,icon:h},void 0,!1,{fileName:Mi,lineNumber:108,columnNumber:7},void 0)]},void 0,!0,{fileName:Mi,lineNumber:64,columnNumber:5},void 0)};var pc="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/common/components/SDNumberInput.tsx";const Zf=e=>{const{label:t,isDisabled:n=!1,fontSize:i="md",size:o="sm",width:c,isInvalid:u,...m}=e;return 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Y2=e=>{const{label:t,isDisabled:n=!1,fontSize:i="md",size:o="md",width:c,...u}=e;return _(xc,{isDisabled:n,width:c,children:_(Sn,{justifyContent:"space-between",alignItems:"center",children:[t&&_(Cc,{fontSize:i,marginBottom:1,flexGrow:2,whiteSpace:"nowrap",children:t},void 0,!1,{fileName:Bx,lineNumber:30,columnNumber:11},void 0),_(wc,{size:o,...u},void 0,!1,{fileName:Bx,lineNumber:39,columnNumber:9},void 0)]},void 0,!0,{fileName:Bx,lineNumber:28,columnNumber:7},void 0)},void 0,!1,{fileName:Bx,lineNumber:27,columnNumber:5},void 0)};var xo="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/options/SeedVariationOptions.tsx";const Ihe=Br(e=>e.options,e=>({variationAmount:e.variationAmount,seedWeights:e.seedWeights,shouldGenerateVariations:e.shouldGenerateVariations,shouldRandomizeSeed:e.shouldRandomizeSeed,seed:e.seed,iterations:e.iterations}),{memoizeOptions:{resultEqualityCheck:Yr.exports.isEqual}}),Lhe=()=>{const{shouldGenerateVariations:e,variationAmount:t,seedWeights:n,shouldRandomizeSeed:i,seed:o,iterations:c}=mr(Ihe),u=Ga(),m=R=>u(fpe(Number(R))),h=R=>u(ype(R.target.checked)),v=R=>u(Fy(Number(R))),b=()=>u(Fy(Oz(OA,DA))),x=R=>u(mpe(R.target.checked)),w=R=>u(hpe(Number(R))),N=R=>u(fz(R.target.value));return _(Sn,{gap:2,direction:"column",children:[_(Zf,{label:"Images to generate",step:1,min:1,precision:0,onChange:m,value:c},void 0,!1,{fileName:xo,lineNumber:87,columnNumber:7},void 0),_(Y2,{label:"Randomize seed on generation",isChecked:i,onChange:h},void 0,!1,{fileName:xo,lineNumber:95,columnNumber:7},void 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diff --git a/frontend/dist/assets/index.447eb2a9.css b/frontend/dist/assets/index.447eb2a9.css
deleted file mode 100644
index 5d9f34f029..0000000000
--- a/frontend/dist/assets/index.447eb2a9.css
+++ /dev/null
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diff --git a/frontend/dist/assets/index.a0250964.css b/frontend/dist/assets/index.a0250964.css
new file mode 100644
index 0000000000..22018fe6f9
--- /dev/null
+++ b/frontend/dist/assets/index.a0250964.css
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button{overflow:hidden;width:100%;height:100%;font-size:1.5rem;color:var(--text-color-secondary);background-color:var(--background-color-secondary)}.image-to-image-upload-btn button:hover{background-color:var(--img2img-img-bg-color)}.number-input{display:grid;grid-template-columns:max-content auto;column-gap:1rem;align-items:center}.number-input .number-input-label{color:var(--text-color-secondary);margin-right:0}.number-input .number-input-field{display:grid;grid-template-columns:auto max-content;column-gap:.5rem;align-items:center;background-color:var(--background-color-secondary);border:2px solid var(--border-color);border-radius:.2rem}.number-input .number-input-entry{border:none;font-weight:700;width:100%;padding-inline-end:0}.number-input .number-input-entry:focus{outline:none;border:2px solid var(--prompt-border-color);box-shadow:0 0 10px 0 var(--prompt-box-shadow-color)}.number-input .number-input-entry:disabled{opacity:.2}.number-input 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diff --git a/frontend/dist/assets/index.dd3155db.js b/frontend/dist/assets/index.dd3155db.js
new file mode 100644
index 0000000000..104193beef
--- /dev/null
+++ b/frontend/dist/assets/index.dd3155db.js
@@ -0,0 +1,483 @@
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+ * react.production.min.js
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0&&(t.style.visibility=e.isVisible?"visible":"hidden"),k3(t,n,r,o.transformTemplate)},render:LE},VK=_L(AL),WK=_L({...AL,getBaseTarget(e,t){return e[t]},readValueFromInstance(e,t){var n;return md.has(t)?((n=B3(t))===null||n===void 0?void 0:n.default)||0:(t=PE.has(t)?t:EE(t),e.getAttribute(t))},scrapeMotionValuesFromProps:TE,build(e,t,n,r,o){L3(t,n,r,o.transformTemplate)},render:AE}),HK=(e,t)=>C3(e)?WK(t,{enableHardwareAcceleration:!1}):VK(t,{enableHardwareAcceleration:!0});function Ow(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const Pc={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(Ne.test(e))e=parseFloat(e);else return e;const n=Ow(e,t.target.x),r=Ow(e,t.target.y);return`${n}% ${r}%`}},Rw="_$css",jK={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,o=e.includes("var("),i=[];o&&(e=e.replace(EL,g=>(i.push(g),Rw)));const s=Xi.parse(e);if(s.length>5)return r;const u=Xi.createTransformer(e),c=typeof s[0]!="number"?1:0,f=n.x.scale*t.x,d=n.y.scale*t.y;s[0+c]/=f,s[1+c]/=d;const h=Yt(f,d,.5);typeof s[2+c]=="number"&&(s[2+c]/=h),typeof s[3+c]=="number"&&(s[3+c]/=h);let m=u(s);if(o){let g=0;m=m.replace(Rw,()=>{const b=i[g];return g++,b})}return m}};class UK extends Q.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:o}=this.props,{projection:i}=t;rU(ZK),i&&(n.group&&n.group.add(i),r&&r.register&&o&&r.register(i),i.root.didUpdate(),i.addEventListener("animationComplete",()=>{this.safeToRemove()}),i.setOptions({...i.options,onExitComplete:()=>this.safeToRemove()})),ef.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:o,isPresent:i}=this.props,s=r.projection;return s&&(s.isPresent=i,o||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==i&&(i?s.promote():s.relegate()||ui.postRender(()=>{var u;!((u=s.getStack())===null||u===void 0)&&u.members.length||this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),!t.currentAnimation&&t.isLead()&&this.safeToRemove())}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:o}=t;o&&(o.scheduleCheckAfterUnmount(),n?.group&&n.group.remove(o),r?.deregister&&r.deregister(o))}safeToRemove(){const{safeToRemove:t}=this.props;t?.()}render(){return null}}function GK(e){const[t,n]=F3(),r=C.exports.useContext(w3);return y(UK,{...e,layoutGroup:r,switchLayoutGroup:C.exports.useContext(dE),isPresent:t,safeToRemove:n})}const ZK={borderRadius:{...Pc,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:Pc,borderTopRightRadius:Pc,borderBottomLeftRadius:Pc,borderBottomRightRadius:Pc,boxShadow:jK},KK={measureLayout:GK};function qK(e,t,n={}){const r=hi(e)?e:yu(e);return W3("",r,t,n),{stop:()=>r.stop(),isAnimating:()=>r.isAnimating()}}const TL=["TopLeft","TopRight","BottomLeft","BottomRight"],YK=TL.length,Nw=e=>typeof e=="string"?parseFloat(e):e,Dw=e=>typeof e=="number"||Ne.test(e);function XK(e,t,n,r,o,i){var s,u,c,f;o?(e.opacity=Yt(0,(s=n.opacity)!==null&&s!==void 0?s:1,QK(r)),e.opacityExit=Yt((u=t.opacity)!==null&&u!==void 0?u:1,0,JK(r))):i&&(e.opacity=Yt((c=t.opacity)!==null&&c!==void 0?c:1,(f=n.opacity)!==null&&f!==void 0?f:1,r));for(let d=0;d<YK;d++){const h=`border${TL[d]}Radius`;let m=zw(t,h),g=zw(n,h);if(m===void 0&&g===void 0)continue;m||(m=0),g||(g=0),m===0||g===0||Dw(m)===Dw(g)?(e[h]=Math.max(Yt(Nw(m),Nw(g),r),0),(li.test(g)||li.test(m))&&(e[h]+="%")):e[h]=g}(t.rotate||n.rotate)&&(e.rotate=Yt(t.rotate||0,n.rotate||0,r))}function zw(e,t){var n;return(n=e[t])!==null&&n!==void 0?n:e.borderRadius}const QK=IL(0,.5,N3),JK=IL(.5,.95,O3);function IL(e,t,n){return r=>r<e?0:r>t?1:n(Vf(e,t,r))}function Fw(e,t){e.min=t.min,e.max=t.max}function Lo(e,t){Fw(e.x,t.x),Fw(e.y,t.y)}function Bw(e,t,n,r,o){return e-=t,e=e0(e,1/n,r),o!==void 0&&(e=e0(e,1/o,r)),e}function eq(e,t=0,n=1,r=.5,o,i=e,s=e){if(li.test(t)&&(t=parseFloat(t),t=Yt(s.min,s.max,t/100)-s.min),typeof t!="number")return;let u=Yt(i.min,i.max,r);e===i&&(u-=t),e.min=Bw(e.min,t,n,u,o),e.max=Bw(e.max,t,n,u,o)}function $w(e,t,[n,r,o],i,s){eq(e,t[n],t[r],t[o],t.scale,i,s)}const tq=["x","scaleX","originX"],nq=["y","scaleY","originY"];function Vw(e,t,n,r){$w(e.x,t,tq,n?.x,r?.x),$w(e.y,t,nq,n?.y,r?.y)}function Ww(e){return e.translate===0&&e.scale===1}function ML(e){return Ww(e.x)&&Ww(e.y)}function OL(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function Hw(e){return Hr(e.x)/Hr(e.y)}function rq(e,t,n=.01){return z3(e,t)<=n}class oq{constructor(){this.members=[]}add(t){H3(this.members,t),t.scheduleRender()}remove(t){if(j3(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(o=>t===o);if(n===0)return!1;let r;for(let o=n;o>=0;o--){const i=this.members[o];if(i.isPresent!==!1){r=i;break}}return r?(this.promote(r),!0):!1}promote(t,n){var r;const o=this.lead;if(t!==o&&(this.prevLead=o,this.lead=t,t.show(),o)){o.instance&&o.scheduleRender(),t.scheduleRender(),t.resumeFrom=o,n&&(t.resumeFrom.preserveOpacity=!0),o.snapshot&&(t.snapshot=o.snapshot,t.snapshot.latestValues=o.animationValues||o.latestValues,t.snapshot.isShared=!0),!((r=t.root)===null||r===void 0)&&r.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&o.hide()}}exitAnimationComplete(){this.members.forEach(t=>{var n,r,o,i,s;(r=(n=t.options).onExitComplete)===null||r===void 0||r.call(n),(s=(o=t.resumingFrom)===null||o===void 0?void 0:(i=o.options).onExitComplete)===null||s===void 0||s.call(i)})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}const iq="translate3d(0px, 0px, 0) scale(1, 1) scale(1, 1)";function jw(e,t,n){const r=e.x.translate/t.x,o=e.y.translate/t.y;let i=`translate3d(${r}px, ${o}px, 0) `;if(i+=`scale(${1/t.x}, ${1/t.y}) `,n){const{rotate:c,rotateX:f,rotateY:d}=n;c&&(i+=`rotate(${c}deg) `),f&&(i+=`rotateX(${f}deg) `),d&&(i+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,u=e.y.scale*t.y;return i+=`scale(${s}, ${u})`,i===iq?"none":i}const aq=(e,t)=>e.depth-t.depth;class sq{constructor(){this.children=[],this.isDirty=!1}add(t){H3(this.children,t),this.isDirty=!0}remove(t){j3(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(aq),this.isDirty=!1,this.children.forEach(t)}}const Uw=["","X","Y","Z"],Gw=1e3;function RL({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:o}){return class{constructor(s,u={},c=t?.()){this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.potentialNodes=new Map,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{this.nodes.forEach(pq),this.nodes.forEach(hq)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.id=s,this.latestValues=u,this.root=c?c.root||c:this,this.path=c?[...c.path,c]:[],this.parent=c,this.depth=c?c.depth+1:0,s&&this.root.registerPotentialNode(s,this);for(let f=0;f<this.path.length;f++)this.path[f].shouldResetTransform=!0;this.root===this&&(this.nodes=new sq)}addEventListener(s,u){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new rf),this.eventHandlers.get(s).add(u)}notifyListeners(s,...u){const c=this.eventHandlers.get(s);c?.notify(...u)}hasListeners(s){return this.eventHandlers.has(s)}registerPotentialNode(s,u){this.potentialNodes.set(s,u)}mount(s,u=!1){var c;if(this.instance)return;this.isSVG=s instanceof SVGElement&&s.tagName!=="svg",this.instance=s;const{layoutId:f,layout:d,visualElement:h}=this.options;if(h&&!h.getInstance()&&h.mount(s),this.root.nodes.add(this),(c=this.parent)===null||c===void 0||c.children.add(this),this.id&&this.root.potentialNodes.delete(this.id),u&&(d||f)&&(this.isLayoutDirty=!0),e){let m;const g=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,clearTimeout(m),m=window.setTimeout(g,250),ef.hasAnimatedSinceResize&&(ef.hasAnimatedSinceResize=!1,this.nodes.forEach(dq))})}f&&this.root.registerSharedNode(f,this),this.options.animate!==!1&&h&&(f||d)&&this.addEventListener("didUpdate",({delta:m,hasLayoutChanged:g,hasRelativeTargetChanged:b,layout:x})=>{var E,w,S,_,L;if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const T=(w=(E=this.options.transition)!==null&&E!==void 0?E:h.getDefaultTransition())!==null&&w!==void 0?w:bq,{onLayoutAnimationStart:R,onLayoutAnimationComplete:N}=h.getProps(),z=!this.targetLayout||!OL(this.targetLayout,x)||b,K=!g&&b;if(((S=this.resumeFrom)===null||S===void 0?void 0:S.instance)||K||g&&(z||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(m,K);const W={...V3(T,"layout"),onPlay:R,onComplete:N};h.shouldReduceMotion&&(W.delay=0,W.type=!1),this.startAnimation(W)}else!g&&this.animationProgress===0&&this.finishAnimation(),this.isLead()&&((L=(_=this.options).onExitComplete)===null||L===void 0||L.call(_));this.targetLayout=x})}unmount(){var s,u;this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this),(s=this.getStack())===null||s===void 0||s.remove(this),(u=this.parent)===null||u===void 0||u.children.delete(this),this.instance=void 0,jf.preRender(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){var s;return this.isAnimationBlocked||((s=this.parent)===null||s===void 0?void 0:s.isTreeAnimationBlocked())||!1}startUpdate(){var s;this.isUpdateBlocked()||(this.isUpdating=!0,(s=this.nodes)===null||s===void 0||s.forEach(mq))}willUpdate(s=!0){var u,c,f;if(this.root.isUpdateBlocked()){(c=(u=this.options).onExitComplete)===null||c===void 0||c.call(u);return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let g=0;g<this.path.length;g++){const b=this.path[g];b.shouldResetTransform=!0,b.updateScroll()}const{layoutId:d,layout:h}=this.options;if(d===void 0&&!h)return;const m=(f=this.options.visualElement)===null||f===void 0?void 0:f.getProps().transformTemplate;this.prevTransformTemplateValue=m?.(this.latestValues,""),this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}didUpdate(){if(this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(Zw);return}!this.isUpdating||(this.isUpdating=!1,this.potentialNodes.size&&(this.potentialNodes.forEach(xq),this.potentialNodes.clear()),this.nodes.forEach(fq),this.nodes.forEach(lq),this.nodes.forEach(uq),this.clearAllSnapshots(),i2.update(),i2.preRender(),i2.render())}clearAllSnapshots(){this.nodes.forEach(cq),this.sharedNodes.forEach(gq)}scheduleUpdateProjection(){ui.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){ui.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){if(this.snapshot||!this.instance)return;const s=this.measure(),u=this.removeTransform(this.removeElementScroll(s));Xw(u),this.snapshot={measured:s,layout:u,latestValues:{}}}updateLayout(){var s;if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let f=0;f<this.path.length;f++)this.path[f].updateScroll();const u=this.measure();Xw(u);const c=this.layout;this.layout={measured:u,actual:this.removeElementScroll(u)},this.layoutCorrected=In(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.actual),(s=this.options.visualElement)===null||s===void 0||s.notifyLayoutMeasure(this.layout.actual,c?.actual)}updateScroll(){this.options.layoutScroll&&this.instance&&(this.isScrollRoot=r(this.instance),this.scroll=n(this.instance))}resetTransform(){var s;if(!o)return;const u=this.isLayoutDirty||this.shouldResetTransform,c=this.projectionDelta&&!ML(this.projectionDelta),f=(s=this.options.visualElement)===null||s===void 0?void 0:s.getProps().transformTemplate,d=f?.(this.latestValues,""),h=d!==this.prevTransformTemplateValue;u&&(c||xa(this.latestValues)||h)&&(o(this.instance,d),this.shouldResetTransform=!1,this.scheduleRender())}measure(){const{visualElement:s}=this.options;if(!s)return In();const u=s.measureViewportBox(),{scroll:c}=this.root;return c&&(_a(u.x,c.x),_a(u.y,c.y)),u}removeElementScroll(s){const u=In();Lo(u,s);for(let c=0;c<this.path.length;c++){const f=this.path[c],{scroll:d,options:h,isScrollRoot:m}=f;if(f!==this.root&&d&&h.layoutScroll){if(m){Lo(u,s);const{scroll:g}=this.root;g&&(_a(u.x,-g.x),_a(u.y,-g.y))}_a(u.x,d.x),_a(u.y,d.y)}}return u}applyTransform(s,u=!1){const c=In();Lo(c,s);for(let f=0;f<this.path.length;f++){const d=this.path[f];!u&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Zl(c,{x:-d.scroll.x,y:-d.scroll.y}),xa(d.latestValues)&&Zl(c,d.latestValues)}return xa(this.latestValues)&&Zl(c,this.latestValues),c}removeTransform(s){var u;const c=In();Lo(c,s);for(let f=0;f<this.path.length;f++){const d=this.path[f];if(!d.instance||!xa(d.latestValues))continue;bL(d.latestValues)&&d.updateSnapshot();const h=In(),m=d.measure();Lo(h,m),Vw(c,d.latestValues,(u=d.snapshot)===null||u===void 0?void 0:u.layout,h)}return xa(this.latestValues)&&Vw(c,this.latestValues),c}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection()}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}resolveTargetDelta(){var s;const{layout:u,layoutId:c}=this.options;!this.layout||!(u||c)||(!this.targetDelta&&!this.relativeTarget&&(this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&this.relativeParent.layout&&(this.relativeTarget=In(),this.relativeTargetOrigin=In(),af(this.relativeTargetOrigin,this.layout.actual,this.relativeParent.layout.actual),Lo(this.relativeTarget,this.relativeTargetOrigin))),!(!this.relativeTarget&&!this.targetDelta)&&(this.target||(this.target=In(),this.targetWithTransforms=In()),this.relativeTarget&&this.relativeTargetOrigin&&((s=this.relativeParent)===null||s===void 0?void 0:s.target)?iK(this.target,this.relativeTarget,this.relativeParent.target):this.targetDelta?(Boolean(this.resumingFrom)?this.target=this.applyTransform(this.layout.actual):Lo(this.target,this.layout.actual),xL(this.target,this.targetDelta)):Lo(this.target,this.layout.actual),this.attemptToResolveRelativeTarget&&(this.attemptToResolveRelativeTarget=!1,this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&Boolean(this.relativeParent.resumingFrom)===Boolean(this.resumingFrom)&&!this.relativeParent.options.layoutScroll&&this.relativeParent.target&&(this.relativeTarget=In(),this.relativeTargetOrigin=In(),af(this.relativeTargetOrigin,this.target,this.relativeParent.target),Lo(this.relativeTarget,this.relativeTargetOrigin)))))}getClosestProjectingParent(){if(!(!this.parent||xa(this.parent.latestValues)))return(this.parent.relativeTarget||this.parent.targetDelta)&&this.parent.layout?this.parent:this.parent.getClosestProjectingParent()}calcProjection(){var s;const{layout:u,layoutId:c}=this.options;if(this.isTreeAnimating=Boolean(((s=this.parent)===null||s===void 0?void 0:s.isTreeAnimating)||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(u||c))return;const f=this.getLead();Lo(this.layoutCorrected,this.layout.actual),hK(this.layoutCorrected,this.treeScale,this.path,Boolean(this.resumingFrom)||this!==f);const{target:d}=f;if(!d)return;this.projectionDelta||(this.projectionDelta=sf(),this.projectionDeltaWithTransform=sf());const h=this.treeScale.x,m=this.treeScale.y,g=this.projectionTransform;of(this.projectionDelta,this.layoutCorrected,d,this.latestValues),this.projectionTransform=jw(this.projectionDelta,this.treeScale),(this.projectionTransform!==g||this.treeScale.x!==h||this.treeScale.y!==m)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",d))}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){var u,c,f;(c=(u=this.options).scheduleRender)===null||c===void 0||c.call(u),s&&((f=this.getStack())===null||f===void 0||f.scheduleRender()),this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,u=!1){var c;const f=this.snapshot,d=f?.latestValues||{},h={...this.latestValues},m=sf();this.relativeTarget=this.relativeTargetOrigin=void 0,this.attemptToResolveRelativeTarget=!u;const g=In(),b=f?.isShared,x=(((c=this.getStack())===null||c===void 0?void 0:c.members.length)||0)<=1,E=Boolean(b&&!x&&this.options.crossfade===!0&&!this.path.some(yq));this.animationProgress=0,this.mixTargetDelta=w=>{var S;const _=w/1e3;Kw(m.x,s.x,_),Kw(m.y,s.y,_),this.setTargetDelta(m),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&((S=this.relativeParent)===null||S===void 0?void 0:S.layout)&&(af(g,this.layout.actual,this.relativeParent.layout.actual),vq(this.relativeTarget,this.relativeTargetOrigin,g,_)),b&&(this.animationValues=h,XK(h,d,this.latestValues,_,E,x)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=_},this.mixTargetDelta(0)}startAnimation(s){var u,c;this.notifyListeners("animationStart"),(u=this.currentAnimation)===null||u===void 0||u.stop(),this.resumingFrom&&((c=this.resumingFrom.currentAnimation)===null||c===void 0||c.stop()),this.pendingAnimation&&(jf.update(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=ui.update(()=>{ef.hasAnimatedSinceResize=!0,this.currentAnimation=qK(0,Gw,{...s,onUpdate:f=>{var d;this.mixTargetDelta(f),(d=s.onUpdate)===null||d===void 0||d.call(s,f)},onComplete:()=>{var f;(f=s.onComplete)===null||f===void 0||f.call(s),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){var s;this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0),(s=this.getStack())===null||s===void 0||s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){var s;this.currentAnimation&&((s=this.mixTargetDelta)===null||s===void 0||s.call(this,Gw),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:u,target:c,layout:f,latestValues:d}=s;if(!(!u||!c||!f)){if(this!==s&&this.layout&&f&&NL(this.options.animationType,this.layout.actual,f.actual)){c=this.target||In();const h=Hr(this.layout.actual.x);c.x.min=s.target.x.min,c.x.max=c.x.min+h;const m=Hr(this.layout.actual.y);c.y.min=s.target.y.min,c.y.max=c.y.min+m}Lo(u,c),Zl(u,d),of(this.projectionDeltaWithTransform,this.layoutCorrected,u,d)}}registerSharedNode(s,u){var c,f,d;this.sharedNodes.has(s)||this.sharedNodes.set(s,new oq),this.sharedNodes.get(s).add(u),u.promote({transition:(c=u.options.initialPromotionConfig)===null||c===void 0?void 0:c.transition,preserveFollowOpacity:(d=(f=u.options.initialPromotionConfig)===null||f===void 0?void 0:f.shouldPreserveFollowOpacity)===null||d===void 0?void 0:d.call(f,u)})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:u}=this.options;return u?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:u}=this.options;return u?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:u,preserveFollowOpacity:c}={}){const f=this.getStack();f&&f.promote(this,c),s&&(this.projectionDelta=void 0,this.needsReset=!0),u&&this.setOptions({transition:u})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let u=!1;const c={};for(let f=0;f<Uw.length;f++){const d=Uw[f],h="rotate"+d;!s.getStaticValue(h)||(u=!0,c[h]=s.getStaticValue(h),s.setStaticValue(h,0))}if(!!u){s?.syncRender();for(const f in c)s.setStaticValue(f,c[f]);s.scheduleRender()}}getProjectionStyles(s={}){var u,c,f;const d={};if(!this.instance||this.isSVG)return d;if(this.isVisible)d.visibility="";else return{visibility:"hidden"};const h=(u=this.options.visualElement)===null||u===void 0?void 0:u.getProps().transformTemplate;if(this.needsReset)return this.needsReset=!1,d.opacity="",d.pointerEvents=Yh(s.pointerEvents)||"",d.transform=h?h(this.latestValues,""):"none",d;const m=this.getLead();if(!this.projectionDelta||!this.layout||!m.target){const E={};return this.options.layoutId&&(E.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,E.pointerEvents=Yh(s.pointerEvents)||""),this.hasProjected&&!xa(this.latestValues)&&(E.transform=h?h({},""):"none",this.hasProjected=!1),E}const g=m.animationValues||m.latestValues;this.applyTransformsToTarget(),d.transform=jw(this.projectionDeltaWithTransform,this.treeScale,g),h&&(d.transform=h(g,d.transform));const{x:b,y:x}=this.projectionDelta;d.transformOrigin=`${b.origin*100}% ${x.origin*100}% 0`,m.animationValues?d.opacity=m===this?(f=(c=g.opacity)!==null&&c!==void 0?c:this.latestValues.opacity)!==null&&f!==void 0?f:1:this.preserveOpacity?this.latestValues.opacity:g.opacityExit:d.opacity=m===this?g.opacity!==void 0?g.opacity:"":g.opacityExit!==void 0?g.opacityExit:0;for(const E in j1){if(g[E]===void 0)continue;const{correct:w,applyTo:S}=j1[E],_=w(g[E],m);if(S){const L=S.length;for(let T=0;T<L;T++)d[S[T]]=_}else d[E]=_}return this.options.layoutId&&(d.pointerEvents=m===this?Yh(s.pointerEvents)||"":"none"),d}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var u;return(u=s.currentAnimation)===null||u===void 0?void 0:u.stop()}),this.root.nodes.forEach(Zw),this.root.sharedNodes.clear()}}}function lq(e){e.updateLayout()}function uq(e){var t,n,r;const o=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&o&&e.hasListeners("didUpdate")){const{actual:i,measured:s}=e.layout,{animationType:u}=e.options;u==="size"?Yo(m=>{const g=o.isShared?o.measured[m]:o.layout[m],b=Hr(g);g.min=i[m].min,g.max=g.min+b}):NL(u,o.layout,i)&&Yo(m=>{const g=o.isShared?o.measured[m]:o.layout[m],b=Hr(i[m]);g.max=g.min+b});const c=sf();of(c,i,o.layout);const f=sf();o.isShared?of(f,e.applyTransform(s,!0),o.measured):of(f,i,o.layout);const d=!ML(c);let h=!1;if(!e.resumeFrom&&(e.relativeParent=e.getClosestProjectingParent(),e.relativeParent&&!e.relativeParent.resumeFrom)){const{snapshot:m,layout:g}=e.relativeParent;if(m&&g){const b=In();af(b,o.layout,m.layout);const x=In();af(x,i,g.actual),OL(b,x)||(h=!0)}}e.notifyListeners("didUpdate",{layout:i,snapshot:o,delta:f,layoutDelta:c,hasLayoutChanged:d,hasRelativeTargetChanged:h})}else e.isLead()&&((r=(n=e.options).onExitComplete)===null||r===void 0||r.call(n));e.options.transition=void 0}function cq(e){e.clearSnapshot()}function Zw(e){e.clearMeasurements()}function fq(e){const{visualElement:t}=e.options;t?.getProps().onBeforeLayoutMeasure&&t.notifyBeforeLayoutMeasure(),e.resetTransform()}function dq(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0}function pq(e){e.resolveTargetDelta()}function hq(e){e.calcProjection()}function mq(e){e.resetRotation()}function gq(e){e.removeLeadSnapshot()}function Kw(e,t,n){e.translate=Yt(t.translate,0,n),e.scale=Yt(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function qw(e,t,n,r){e.min=Yt(t.min,n.min,r),e.max=Yt(t.max,n.max,r)}function vq(e,t,n,r){qw(e.x,t.x,n.x,r),qw(e.y,t.y,n.y,r)}function yq(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const bq={duration:.45,ease:[.4,0,.1,1]};function xq(e,t){let n=e.root;for(let i=e.path.length-1;i>=0;i--)if(Boolean(e.path[i].instance)){n=e.path[i];break}const o=(n&&n!==e.root?n.instance:document).querySelector(`[data-projection-id="${t}"]`);o&&e.mount(o,!0)}function Yw(e){e.min=Math.round(e.min),e.max=Math.round(e.max)}function Xw(e){Yw(e.x),Yw(e.y)}function NL(e,t,n){return e==="position"||e==="preserve-aspect"&&!rq(Hw(t),Hw(n))}const Sq=RL({attachResizeListener:(e,t)=>sm(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),u2={current:void 0},wq=RL({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!u2.current){const e=new Sq(0,{});e.mount(window),e.setOptions({layoutScroll:!0}),u2.current=e}return u2.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>Boolean(window.getComputedStyle(e).position==="fixed")}),Cq={...nK,...dZ,...CK,...KK},go=tU((e,t)=>$U(e,t,Cq,HK,wq));function DL(){const e=C.exports.useRef(!1);return H1(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function _q(){const e=DL(),[t,n]=C.exports.useState(0),r=C.exports.useCallback(()=>{e.current&&n(t+1)},[t]);return[C.exports.useCallback(()=>ui.postRender(r),[r]),t]}class kq extends C.exports.Component{getSnapshotBeforeUpdate(t){const n=this.props.childRef.current;if(n&&t.isPresent&&!this.props.isPresent){const r=this.props.sizeRef.current;r.height=n.offsetHeight||0,r.width=n.offsetWidth||0,r.top=n.offsetTop,r.left=n.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function Eq({children:e,isPresent:t}){const n=C.exports.useId(),r=C.exports.useRef(null),o=C.exports.useRef({width:0,height:0,top:0,left:0});return C.exports.useInsertionEffect(()=>{const{width:i,height:s,top:u,left:c}=o.current;if(t||!r.current||!i||!s)return;r.current.dataset.motionPopId=n;const f=document.createElement("style");return document.head.appendChild(f),f.sheet&&f.sheet.insertRule(`
+          [data-motion-pop-id="${n}"] {
+            position: absolute !important;
+            width: ${i}px !important;
+            height: ${s}px !important;
+            top: ${u}px !important;
+            left: ${c}px !important;
+          }
+        `),()=>{document.head.removeChild(f)}},[t]),y(kq,{isPresent:t,childRef:r,sizeRef:o,children:C.exports.cloneElement(e,{ref:r})})}const c2=({children:e,initial:t,isPresent:n,onExitComplete:r,custom:o,presenceAffectsLayout:i,mode:s})=>{const u=am(Lq),c=C.exports.useId(),f=C.exports.useMemo(()=>({id:c,initial:t,isPresent:n,custom:o,onExitComplete:d=>{u.set(d,!0);for(const h of u.values())if(!h)return;r&&r()},register:d=>(u.set(d,!1),()=>u.delete(d))}),i?void 0:[n]);return C.exports.useMemo(()=>{u.forEach((d,h)=>u.set(h,!1))},[n]),C.exports.useEffect(()=>{!n&&!u.size&&r&&r()},[n]),s==="popLayout"&&(e=y(Eq,{isPresent:n,children:e})),y(Ru.Provider,{value:f,children:e})};function Lq(){return new Map}const Al=e=>e.key||"";function Pq(e,t){e.forEach(n=>{const r=Al(n);t.set(r,n)})}function Aq(e){const t=[];return C.exports.Children.forEach(e,n=>{C.exports.isValidElement(n)&&t.push(n)}),t}const na=({children:e,custom:t,initial:n=!0,onExitComplete:r,exitBeforeEnter:o,presenceAffectsLayout:i=!0,mode:s="sync"})=>{o&&(s="wait",lL(!1,"Replace exitBeforeEnter with mode='wait'"));let[u]=_q();const c=C.exports.useContext(w3).forceRender;c&&(u=c);const f=DL(),d=Aq(e);let h=d;const m=new Set,g=C.exports.useRef(h),b=C.exports.useRef(new Map).current,x=C.exports.useRef(!0);if(H1(()=>{x.current=!1,Pq(d,b),g.current=h}),T3(()=>{x.current=!0,b.clear(),m.clear()}),x.current)return y(fn,{children:h.map(_=>y(c2,{isPresent:!0,initial:n?void 0:!1,presenceAffectsLayout:i,mode:s,children:_},Al(_)))});h=[...h];const E=g.current.map(Al),w=d.map(Al),S=E.length;for(let _=0;_<S;_++){const L=E[_];w.indexOf(L)===-1&&m.add(L)}return s==="wait"&&m.size&&(h=[]),m.forEach(_=>{if(w.indexOf(_)!==-1)return;const L=b.get(_);if(!L)return;const T=E.indexOf(_),R=()=>{b.delete(_),m.delete(_);const N=g.current.findIndex(z=>z.key===_);if(g.current.splice(N,1),!m.size){if(g.current=d,f.current===!1)return;u(),r&&r()}};h.splice(T,0,y(c2,{isPresent:!1,onExitComplete:R,custom:t,presenceAffectsLayout:i,mode:s,children:L},Al(L)))}),h=h.map(_=>{const L=_.key;return m.has(L)?_:y(c2,{isPresent:!0,presenceAffectsLayout:i,mode:s,children:_},Al(_))}),sL!=="production"&&s==="wait"&&h.length>1&&console.warn(`You're attempting to animate multiple children within AnimatePresence, but its mode is set to "wait". This will lead to odd visual behaviour.`),y(fn,{children:m.size?h:h.map(_=>C.exports.cloneElement(_))})};var xd=(...e)=>e.filter(Boolean).join(" ");function Tq(){return!1}var Iq=e=>{const{condition:t,message:n}=e;t&&Tq()&&console.warn(n)},Es={ease:[.25,.1,.25,1],easeIn:[.4,0,1,1],easeOut:[0,0,.2,1],easeInOut:[.4,0,.2,1]},Ac={scale:{enter:{scale:1},exit:{scale:.95}},fade:{enter:{opacity:1},exit:{opacity:0}},pushLeft:{enter:{x:"100%"},exit:{x:"-30%"}},pushRight:{enter:{x:"-100%"},exit:{x:"30%"}},pushUp:{enter:{y:"100%"},exit:{y:"-30%"}},pushDown:{enter:{y:"-100%"},exit:{y:"30%"}},slideLeft:{position:{left:0,top:0,bottom:0,width:"100%"},enter:{x:0,y:0},exit:{x:"-100%",y:0}},slideRight:{position:{right:0,top:0,bottom:0,width:"100%"},enter:{x:0,y:0},exit:{x:"100%",y:0}},slideUp:{position:{top:0,left:0,right:0,maxWidth:"100vw"},enter:{x:0,y:0},exit:{x:0,y:"-100%"}},slideDown:{position:{bottom:0,left:0,right:0,maxWidth:"100vw"},enter:{x:0,y:0},exit:{x:0,y:"100%"}}};function g4(e){switch(e?.direction??"right"){case"right":return Ac.slideRight;case"left":return Ac.slideLeft;case"bottom":return Ac.slideDown;case"top":return Ac.slideUp;default:return Ac.slideRight}}var Ts={enter:{duration:.2,ease:Es.easeOut},exit:{duration:.1,ease:Es.easeIn}},Fo={enter:(e,t)=>({...e,delay:typeof t=="number"?t:t?.enter}),exit:(e,t)=>({...e,delay:typeof t=="number"?t:t?.exit})},Mq=e=>e!=null&&parseInt(e.toString(),10)>0,Qw={exit:{height:{duration:.2,ease:Es.ease},opacity:{duration:.3,ease:Es.ease}},enter:{height:{duration:.3,ease:Es.ease},opacity:{duration:.4,ease:Es.ease}}},Oq={exit:({animateOpacity:e,startingHeight:t,transition:n,transitionEnd:r,delay:o})=>({...e&&{opacity:Mq(t)?1:0},height:t,transitionEnd:r?.exit,transition:n?.exit??Fo.exit(Qw.exit,o)}),enter:({animateOpacity:e,endingHeight:t,transition:n,transitionEnd:r,delay:o})=>({...e&&{opacity:1},height:t,transitionEnd:r?.enter,transition:n?.enter??Fo.enter(Qw.enter,o)})},zL=C.exports.forwardRef((e,t)=>{const{in:n,unmountOnExit:r,animateOpacity:o=!0,startingHeight:i=0,endingHeight:s="auto",style:u,className:c,transition:f,transitionEnd:d,...h}=e,[m,g]=C.exports.useState(!1);C.exports.useEffect(()=>{const S=setTimeout(()=>{g(!0)});return()=>clearTimeout(S)},[]),Iq({condition:Boolean(i>0&&r),message:"startingHeight and unmountOnExit are mutually exclusive. You can't use them together"});const b=parseFloat(i.toString())>0,x={startingHeight:i,endingHeight:s,animateOpacity:o,transition:m?f:{enter:{duration:0}},transitionEnd:{enter:d?.enter,exit:r?d?.exit:{...d?.exit,display:b?"block":"none"}}},E=r?n:!0,w=n||r?"enter":"exit";return y(na,{initial:!1,custom:x,children:E&&Q.createElement(go.div,{ref:t,...h,className:xd("chakra-collapse",c),style:{overflow:"hidden",display:"block",...u},custom:x,variants:Oq,initial:r?"exit":!1,animate:w,exit:"exit"})})});zL.displayName="Collapse";var Rq={enter:({transition:e,transitionEnd:t,delay:n}={})=>({opacity:1,transition:e?.enter??Fo.enter(Ts.enter,n),transitionEnd:t?.enter}),exit:({transition:e,transitionEnd:t,delay:n}={})=>({opacity:0,transition:e?.exit??Fo.exit(Ts.exit,n),transitionEnd:t?.exit})},FL={initial:"exit",animate:"enter",exit:"exit",variants:Rq},Nq=C.exports.forwardRef(function(t,n){const{unmountOnExit:r,in:o,className:i,transition:s,transitionEnd:u,delay:c,...f}=t,d=o||r?"enter":"exit",h=r?o&&r:!0,m={transition:s,transitionEnd:u,delay:c};return y(na,{custom:m,children:h&&Q.createElement(go.div,{ref:n,className:xd("chakra-fade",i),custom:m,...FL,animate:d,...f})})});Nq.displayName="Fade";var Dq={exit:({reverse:e,initialScale:t,transition:n,transitionEnd:r,delay:o})=>({opacity:0,...e?{scale:t,transitionEnd:r?.exit}:{transitionEnd:{scale:t,...r?.exit}},transition:n?.exit??Fo.exit(Ts.exit,o)}),enter:({transitionEnd:e,transition:t,delay:n})=>({opacity:1,scale:1,transition:t?.enter??Fo.enter(Ts.enter,n),transitionEnd:e?.enter})},BL={initial:"exit",animate:"enter",exit:"exit",variants:Dq},zq=C.exports.forwardRef(function(t,n){const{unmountOnExit:r,in:o,reverse:i=!0,initialScale:s=.95,className:u,transition:c,transitionEnd:f,delay:d,...h}=t,m=r?o&&r:!0,g=o||r?"enter":"exit",b={initialScale:s,reverse:i,transition:c,transitionEnd:f,delay:d};return y(na,{custom:b,children:m&&Q.createElement(go.div,{ref:n,className:xd("chakra-offset-slide",u),...BL,animate:g,custom:b,...h})})});zq.displayName="ScaleFade";var Jw={exit:{duration:.15,ease:Es.easeInOut},enter:{type:"spring",damping:25,stiffness:180}},Fq={exit:({direction:e,transition:t,transitionEnd:n,delay:r})=>{const{exit:o}=g4({direction:e});return{...o,transition:t?.exit??Fo.exit(Jw.exit,r),transitionEnd:n?.exit}},enter:({direction:e,transitionEnd:t,transition:n,delay:r})=>{const{enter:o}=g4({direction:e});return{...o,transition:n?.enter??Fo.enter(Jw.enter,r),transitionEnd:t?.enter}}},$L=C.exports.forwardRef(function(t,n){const{direction:r="right",style:o,unmountOnExit:i,in:s,className:u,transition:c,transitionEnd:f,delay:d,...h}=t,m=g4({direction:r}),g=Object.assign({position:"fixed"},m.position,o),b=i?s&&i:!0,x=s||i?"enter":"exit",E={transitionEnd:f,transition:c,direction:r,delay:d};return y(na,{custom:E,children:b&&Q.createElement(go.div,{...h,ref:n,initial:"exit",className:xd("chakra-slide",u),animate:x,exit:"exit",custom:E,variants:Fq,style:g})})});$L.displayName="Slide";var 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+ * @license React
+ * react.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *//**
+ * @license React
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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+        font-family: SFMono-Regular,  Menlo, Monaco, Consolas, monospace;
+        font-size: 1em;
+      }
+
+      a {
+        background-color: transparent;
+        color: inherit;
+        text-decoration: inherit;
+      }
+
+      abbr[title] {
+        border-bottom: none;
+        text-decoration: underline;
+        -webkit-text-decoration: underline dotted;
+        text-decoration: underline dotted;
+      }
+
+      b,
+      strong {
+        font-weight: bold;
+      }
+
+      small {
+        font-size: 80%;
+      }
+
+      sub,
+      sup {
+        font-size: 75%;
+        line-height: 0;
+        position: relative;
+        vertical-align: baseline;
+      }
+
+      sub {
+        bottom: -0.25em;
+      }
+
+      sup {
+        top: -0.5em;
+      }
+
+      img {
+        border-style: none;
+      }
+
+      button,
+      input,
+      optgroup,
+      select,
+      textarea {
+        font-family: inherit;
+        font-size: 100%;
+        line-height: 1.15;
+        margin: 0;
+      }
+
+      button,
+      input {
+        overflow: visible;
+      }
+
+      button,
+      select {
+        text-transform: none;
+      }
+
+      button::-moz-focus-inner,
+      [type="button"]::-moz-focus-inner,
+      [type="reset"]::-moz-focus-inner,
+      [type="submit"]::-moz-focus-inner {
+        border-style: none;
+        padding: 0;
+      }
+
+      fieldset {
+        padding: 0.35em 0.75em 0.625em;
+      }
+
+      legend {
+        box-sizing: border-box;
+        color: inherit;
+        display: table;
+        max-width: 100%;
+        padding: 0;
+        white-space: normal;
+      }
+
+      progress {
+        vertical-align: baseline;
+      }
+
+      textarea {
+        overflow: auto;
+      }
+
+      [type="checkbox"],
+      [type="radio"] {
+        box-sizing: border-box;
+        padding: 0;
+      }
+
+      [type="number"]::-webkit-inner-spin-button,
+      [type="number"]::-webkit-outer-spin-button {
+        -webkit-appearance: none !important;
+      }
+
+      input[type="number"] {
+        -moz-appearance: textfield;
+      }
+
+      [type="search"] {
+        -webkit-appearance: textfield;
+        outline-offset: -2px;
+      }
+
+      [type="search"]::-webkit-search-decoration {
+        -webkit-appearance: none !important;
+      }
+
+      ::-webkit-file-upload-button {
+        -webkit-appearance: button;
+        font: inherit;
+      }
+
+      details {
+        display: block;
+      }
+
+      summary {
+        display: list-item;
+      }
+
+      template {
+        display: none;
+      }
+
+      [hidden] {
+        display: none !important;
+      }
+
+      body,
+      blockquote,
+      dl,
+      dd,
+      h1,
+      h2,
+      h3,
+      h4,
+      h5,
+      h6,
+      hr,
+      figure,
+      p,
+      pre {
+        margin: 0;
+      }
+
+      button {
+        background: transparent;
+        padding: 0;
+      }
+
+      fieldset {
+        margin: 0;
+        padding: 0;
+      }
+
+      ol,
+      ul {
+        margin: 0;
+        padding: 0;
+      }
+
+      textarea {
+        resize: vertical;
+      }
+
+      button,
+      [role="button"] {
+        cursor: pointer;
+      }
+
+      button::-moz-focus-inner {
+        border: 0 !important;
+      }
+
+      table {
+        border-collapse: collapse;
+      }
+
+      h1,
+      h2,
+      h3,
+      h4,
+      h5,
+      h6 {
+        font-size: inherit;
+        font-weight: inherit;
+      }
+
+      button,
+      input,
+      optgroup,
+      select,
+      textarea {
+        padding: 0;
+        line-height: inherit;
+        color: inherit;
+      }
+
+      img,
+      svg,
+      video,
+      canvas,
+      audio,
+      iframe,
+      embed,
+      object {
+        display: block;
+      }
+
+      img,
+      video {
+        max-width: 100%;
+        height: auto;
+      }
+
+      [data-js-focus-visible] :focus:not([data-focus-visible-added]):not([data-focus-visible-disabled]) {
+        outline: none;
+        box-shadow: none;
+      }
+
+      select::-ms-expand {
+        display: none;
+      }
+
+      ${aP}
+    `});function S4(e,t,n,r){const o=Un(n);return C.exports.useEffect(()=>{const i=typeof e=="function"?e():e??document;if(!(!n||!i))return i.addEventListener(t,o,r),()=>{i.removeEventListener(t,o,r)}},[t,e,r,o,n]),()=>{const i=typeof e=="function"?e():e??document;i?.removeEventListener(t,o,r)}}var oX=hd?C.exports.useLayoutEffect:C.exports.useEffect;function w4(e,t=[]){const n=C.exports.useRef(e);return oX(()=>{n.current=e}),C.exports.useCallback((...r)=>{var o;return(o=n.current)==null?void 0:o.call(n,...r)},t)}function J3(e,t,n,r){const o=w4(t);return C.exports.useEffect(()=>{const i=$1(n)??document;if(!!t)return i.addEventListener(e,o,r),()=>{i.removeEventListener(e,o,r)}},[e,n,r,o,t]),()=>{($1(n)??document).removeEventListener(e,o,r)}}function iX(e){const{isOpen:t,ref:n}=e,[r,o]=C.exports.useState(t),[i,s]=C.exports.useState(!1);return C.exports.useEffect(()=>{i||(o(t),s(!0))},[t,i,r]),J3("animationend",()=>{o(t)},()=>n.current),{present:!(t?!1:!r),onComplete(){var c;const f=AH(n.current),d=new f.CustomEvent("animationend",{bubbles:!0});(c=n.current)==null||c.dispatchEvent(d)}}}function aX(e,t){const n=e!==void 0;return[n,n&&typeof e<"u"?e:t]}function sX(e,t){const n=C.exports.useId();return C.exports.useMemo(()=>e||[t,n].filter(Boolean).join("-"),[e,t,n])}function r0(e={}){const{onClose:t,onOpen:n,isOpen:r,id:o}=e,i=w4(n),s=w4(t),[u,c]=C.exports.useState(e.defaultIsOpen||!1),[f,d]=aX(r,u),h=sX(o,"disclosure"),m=C.exports.useCallback(()=>{f||c(!1),s?.()},[f,s]),g=C.exports.useCallback(()=>{f||c(!0),i?.()},[f,i]),b=C.exports.useCallback(()=>{(d?m:g)()},[d,g,m]);return{isOpen:!!d,onOpen:g,onClose:m,onToggle:b,isControlled:f,getButtonProps:(x={})=>({...x,"aria-expanded":d,"aria-controls":h,onClick:WH(x.onClick,b)}),getDisclosureProps:(x={})=>({...x,hidden:!d,id:h})}}var sP=(e,t)=>{const n=C.exports.useRef(!1),r=C.exports.useRef(!1);C.exports.useEffect(()=>{if(n.current&&r.current)return e();r.current=!0},t),C.exports.useEffect(()=>(n.current=!0,()=>{n.current=!1}),[])};function lX(e){const t=e.current;if(!t)return!1;const n=MH(t);return!n||x3(t,n)?!1:!!zH(n)}function uX(e,t){const{shouldFocus:n,visible:r,focusRef:o}=t,i=n&&!r;sP(()=>{if(!i||lX(e))return;const s=o?.current||e.current;s&&V1(s,{nextTick:!0})},[i,e,o])}function cX(e,t,n,r){return J3(sj(t),tj(n,t==="pointerdown"),e,r)}function fX(e){const{ref:t,elements:n,enabled:r}=e,o=uj("Safari");cX(()=>pd(t.current),"pointerdown",s=>{if(!o||!r)return;const u=s.target,f=(n??[t]).some(d=>{const h=Xk(d)?d.current:d;return x3(h,u)});!nE(u)&&f&&(s.preventDefault(),V1(u))})}var dX={preventScroll:!0,shouldFocus:!1};function pX(e,t=dX){const{focusRef:n,preventScroll:r,shouldFocus:o,visible:i}=t,s=Xk(e)?e.current:e,u=o&&i,c=C.exports.useCallback(()=>{if(!(!s||!u)&&!x3(s,document.activeElement))if(n?.current)V1(n.current,{preventScroll:r,nextTick:!0});else{const f=VH(s);f.length>0&&V1(f[0],{preventScroll:r,nextTick:!0})}},[u,r,s,n]);sP(()=>{c()},[c]),J3("transitionend",c,s)}function eb(e){const t=Object.assign({},e);for(let n in t)t[n]===void 0&&delete t[n];return t}var tb=ue(function(t,n){const{htmlSize:r,...o}=t,i=cr("Input",o),s=vt(o),u=q3(s),c=Xt("chakra-input",t.className);return Q.createElement(oe.input,{size:r,...u,__css:i.field,ref:n,className:c})});tb.displayName="Input";tb.id="Input";var[hX,lP]=At({name:"InputGroupStylesContext",errorMessage:`useInputGroupStyles returned is 'undefined'. 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cre(e){var t={r:0,g:0,b:0},n=1,r=null,o=null,i=null,s=!1,u=!1;return typeof e=="string"&&(e=pre(e)),typeof e=="object"&&(Di(e.r)&&Di(e.g)&&Di(e.b)?(t=ore(e.r,e.g,e.b),s=!0,u=String(e.r).substr(-1)==="%"?"prgb":"rgb"):Di(e.h)&&Di(e.s)&&Di(e.v)?(r=xh(e.s),o=xh(e.v),t=are(e.h,r,o),s=!0,u="hsv"):Di(e.h)&&Di(e.s)&&Di(e.l)&&(r=xh(e.s),i=xh(e.l),t=ire(e.h,r,i),s=!0,u="hsl"),Object.prototype.hasOwnProperty.call(e,"a")&&(n=e.a)),n=jA(n),{ok:s,format:e.format||u,r:Math.min(255,Math.max(t.r,0)),g:Math.min(255,Math.max(t.g,0)),b:Math.min(255,Math.max(t.b,0)),a:n}}var fre="[-\\+]?\\d+%?",dre="[-\\+]?\\d*\\.\\d+%?",Oa="(?:".concat(dre,")|(?:").concat(fre,")"),k2="[\\s|\\(]+(".concat(Oa,")[,|\\s]+(").concat(Oa,")[,|\\s]+(").concat(Oa,")\\s*\\)?"),E2="[\\s|\\(]+(".concat(Oa,")[,|\\s]+(").concat(Oa,")[,|\\s]+(").concat(Oa,")[,|\\s]+(").concat(Oa,")\\s*\\)?"),Ao={CSS_UNIT:new RegExp(Oa),rgb:new RegExp("rgb"+k2),rgba:new RegExp("rgba"+E2),hsl:new RegExp("hsl"+k2),hsla:new RegExp("hsla"+E2),hsv:new RegExp("hsv"+k2),hsva:new RegExp("hsva"+E2),hex3:/^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,hex6:/^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/,hex4:/^#?([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})([0-9a-fA-F]{1})$/,hex8:/^#?([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})([0-9a-fA-F]{2})$/};function pre(e){if(e=e.trim().toLowerCase(),e.length===0)return!1;var t=!1;if(R4[e])e=R4[e],t=!0;else if(e==="transparent")return{r:0,g:0,b:0,a:0,format:"name"};var n=Ao.rgb.exec(e);return n?{r:n[1],g:n[2],b:n[3]}:(n=Ao.rgba.exec(e),n?{r:n[1],g:n[2],b:n[3],a:n[4]}:(n=Ao.hsl.exec(e),n?{h:n[1],s:n[2],l:n[3]}:(n=Ao.hsla.exec(e),n?{h:n[1],s:n[2],l:n[3],a:n[4]}:(n=Ao.hsv.exec(e),n?{h:n[1],s:n[2],v:n[3]}:(n=Ao.hsva.exec(e),n?{h:n[1],s:n[2],v:n[3],a:n[4]}:(n=Ao.hex8.exec(e),n?{r:Rr(n[1]),g:Rr(n[2]),b:Rr(n[3]),a:B8(n[4]),format:t?"name":"hex8"}:(n=Ao.hex6.exec(e),n?{r:Rr(n[1]),g:Rr(n[2]),b:Rr(n[3]),format:t?"name":"hex"}:(n=Ao.hex4.exec(e),n?{r:Rr(n[1]+n[1]),g:Rr(n[2]+n[2]),b:Rr(n[3]+n[3]),a:B8(n[4]+n[4]),format:t?"name":"hex8"}:(n=Ao.hex3.exec(e),n?{r:Rr(n[1]+n[1]),g:Rr(n[2]+n[2]),b:Rr(n[3]+n[3]),format:t?"name":"hex"}:!1)))))))))}function Di(e){return Boolean(Ao.CSS_UNIT.exec(String(e)))}var Pd=function(){function e(t,n){t===void 0&&(t=""),n===void 0&&(n={});var r;if(t instanceof e)return t;typeof t=="number"&&(t=ure(t)),this.originalInput=t;var o=cre(t);this.originalInput=t,this.r=o.r,this.g=o.g,this.b=o.b,this.a=o.a,this.roundA=Math.round(100*this.a)/100,this.format=(r=n.format)!==null&&r!==void 0?r:o.format,this.gradientType=n.gradientType,this.r<1&&(this.r=Math.round(this.r)),this.g<1&&(this.g=Math.round(this.g)),this.b<1&&(this.b=Math.round(this.b)),this.isValid=o.ok}return e.prototype.isDark=function(){return this.getBrightness()<128},e.prototype.isLight=function(){return!this.isDark()},e.prototype.getBrightness=function(){var t=this.toRgb();return(t.r*299+t.g*587+t.b*114)/1e3},e.prototype.getLuminance=function(){var t=this.toRgb(),n,r,o,i=t.r/255,s=t.g/255,u=t.b/255;return i<=.03928?n=i/12.92:n=Math.pow((i+.055)/1.055,2.4),s<=.03928?r=s/12.92:r=Math.pow((s+.055)/1.055,2.4),u<=.03928?o=u/12.92:o=Math.pow((u+.055)/1.055,2.4),.2126*n+.7152*r+.0722*o},e.prototype.getAlpha=function(){return this.a},e.prototype.setAlpha=function(t){return 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e(this.toString())},e.prototype.lighten=function(t){t===void 0&&(t=10);var n=this.toHsl();return n.l+=t/100,n.l=bh(n.l),new e(n)},e.prototype.brighten=function(t){t===void 0&&(t=10);var n=this.toRgb();return n.r=Math.max(0,Math.min(255,n.r-Math.round(255*-(t/100)))),n.g=Math.max(0,Math.min(255,n.g-Math.round(255*-(t/100)))),n.b=Math.max(0,Math.min(255,n.b-Math.round(255*-(t/100)))),new e(n)},e.prototype.darken=function(t){t===void 0&&(t=10);var n=this.toHsl();return n.l-=t/100,n.l=bh(n.l),new e(n)},e.prototype.tint=function(t){return t===void 0&&(t=10),this.mix("white",t)},e.prototype.shade=function(t){return t===void 0&&(t=10),this.mix("black",t)},e.prototype.desaturate=function(t){t===void 0&&(t=10);var n=this.toHsl();return n.s-=t/100,n.s=bh(n.s),new e(n)},e.prototype.saturate=function(t){t===void 0&&(t=10);var n=this.toHsl();return n.s+=t/100,n.s=bh(n.s),new e(n)},e.prototype.greyscale=function(){return this.desaturate(100)},e.prototype.spin=function(t){var n=this.toHsl(),r=(n.h+t)%360;return n.h=r<0?360+r:r,new e(n)},e.prototype.mix=function(t,n){n===void 0&&(n=50);var r=this.toRgb(),o=new e(t).toRgb(),i=n/100,s={r:(o.r-r.r)*i+r.r,g:(o.g-r.g)*i+r.g,b:(o.b-r.b)*i+r.b,a:(o.a-r.a)*i+r.a};return new e(s)},e.prototype.analogous=function(t,n){t===void 0&&(t=6),n===void 0&&(n=30);var r=this.toHsl(),o=360/n,i=[this];for(r.h=(r.h-(o*t>>1)+720)%360;--t;)r.h=(r.h+o)%360,i.push(new e(r));return i},e.prototype.complement=function(){var t=this.toHsl();return t.h=(t.h+180)%360,new e(t)},e.prototype.monochromatic=function(t){t===void 0&&(t=6);for(var n=this.toHsv(),r=n.h,o=n.s,i=n.v,s=[],u=1/t;t--;)s.push(new e({h:r,s:o,v:i})),i=(i+u)%1;return s},e.prototype.splitcomplement=function(){var t=this.toHsl(),n=t.h;return[this,new e({h:(n+72)%360,s:t.s,l:t.l}),new e({h:(n+216)%360,s:t.s,l:t.l})]},e.prototype.onBackground=function(t){var n=this.toRgb(),r=new e(t).toRgb();return new e({r:r.r+(n.r-r.r)*n.a,g:r.g+(n.g-r.g)*n.a,b:r.b+(n.b-r.b)*n.a})},e.prototype.triad=function(){return this.polyad(3)},e.prototype.tetrad=function(){return this.polyad(4)},e.prototype.polyad=function(t){for(var n=this.toHsl(),r=n.h,o=[this],i=360/t,s=1;s<t;s++)o.push(new e({h:(r+s*i)%360,s:n.s,l:n.l}));return o},e.prototype.equals=function(t){return this.toRgbString()===new e(t).toRgbString()},e}();function UA(e){if(e===void 0&&(e={}),e.count!==void 0&&e.count!==null){var t=e.count,n=[];for(e.count=void 0;t>n.length;)e.count=null,e.seed&&(e.seed+=1),n.push(UA(e));return e.count=t,n}var r=hre(e.hue,e.seed),o=mre(r,e),i=gre(r,o,e),s={h:r,s:o,v:i};return e.alpha!==void 0&&(s.a=e.alpha),new Pd(s)}function hre(e,t){var n=yre(e),r=l0(n,t);return r<0&&(r=360+r),r}function mre(e,t){if(t.hue==="monochrome")return 0;if(t.luminosity==="random")return l0([0,100],t.seed);var n=GA(e).saturationRange,r=n[0],o=n[1];switch(t.luminosity){case"bright":r=55;break;case"dark":r=o-10;break;case"light":o=55;break}return l0([r,o],t.seed)}function gre(e,t,n){var r=vre(e,t),o=100;switch(n.luminosity){case"dark":o=r+20;break;case"light":r=(o+r)/2;break;case"random":r=0,o=100;break}return l0([r,o],n.seed)}function vre(e,t){for(var n=GA(e).lowerBounds,r=0;r<n.length-1;r++){var o=n[r][0],i=n[r][1],s=n[r+1][0],u=n[r+1][1];if(t>=o&&t<=s){var c=(u-i)/(s-o),f=i-c*o;return c*t+f}}return 0}function yre(e){var t=parseInt(e,10);if(!Number.isNaN(t)&&t<360&&t>0)return[t,t];if(typeof e=="string"){var n=KA.find(function(s){return s.name===e});if(n){var r=ZA(n);if(r.hueRange)return r.hueRange}var o=new Pd(e);if(o.isValid){var i=o.toHsv().h;return[i,i]}}return[0,360]}function GA(e){e>=334&&e<=360&&(e-=360);for(var t=0,n=KA;t<n.length;t++){var r=n[t],o=ZA(r);if(o.hueRange&&e>=o.hueRange[0]&&e<=o.hueRange[1])return o}throw Error("Color not found")}function l0(e,t){if(t===void 0)return Math.floor(e[0]+Math.random()*(e[1]+1-e[0]));var n=e[1]||1,r=e[0]||0;t=(t*9301+49297)%233280;var o=t/233280;return Math.floor(r+o*(n-r))}function ZA(e){var t=e.lowerBounds[0][0],n=e.lowerBounds[e.lowerBounds.length-1][0],r=e.lowerBounds[e.lowerBounds.length-1][1],o=e.lowerBounds[0][1];return{name:e.name,hueRange:e.hueRange,lowerBounds:e.lowerBounds,saturationRange:[t,n],brightnessRange:[r,o]}}var KA=[{name:"monochrome",hueRange:null,lowerBounds:[[0,0],[100,0]]},{name:"red",hueRange:[-26,18],lowerBounds:[[20,100],[30,92],[40,89],[50,85],[60,78],[70,70],[80,60],[90,55],[100,50]]},{name:"orange",hueRange:[19,46],lowerBounds:[[20,100],[30,93],[40,88],[50,86],[60,85],[70,70],[100,70]]},{name:"yellow",hueRange:[47,62],lowerBounds:[[25,100],[40,94],[50,89],[60,86],[70,84],[80,82],[90,80],[100,75]]},{name:"green",hueRange:[63,178],lowerBounds:[[30,100],[40,90],[50,85],[60,81],[70,74],[80,64],[90,50],[100,40]]},{name:"blue",hueRange:[179,257],lowerBounds:[[20,100],[30,86],[40,80],[50,74],[60,60],[70,52],[80,44],[90,39],[100,35]]},{name:"purple",hueRange:[258,282],lowerBounds:[[20,100],[30,87],[40,79],[50,70],[60,65],[70,59],[80,52],[90,45],[100,42]]},{name:"pink",hueRange:[283,334],lowerBounds:[[20,100],[30,90],[40,86],[60,84],[80,80],[90,75],[100,73]]}];function bre(e,t,n,r,o){for(t=t.split?t.split("."):t,r=0;r<t.length;r++)e=e?e[t[r]]:o;return e===o?n:e}var xre=e=>Object.keys(e).length===0,vn=(e,t,n)=>{const r=bre(e,`colors.${t}`,t),{isValid:o}=new Pd(r);return o?r:n},Sre=e=>t=>{const n=vn(t,e);return new Pd(n).isDark()?"dark":"light"},wre=e=>t=>Sre(e)(t)==="dark",ku=(e,t)=>n=>{const r=vn(n,e);return new Pd(r).setAlpha(t).toRgbString()};function $8(e="1rem",t="rgba(255, 255, 255, 0.15)"){return{backgroundImage:`linear-gradient(
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+    ${t} 25%,
+    transparent 25%,
+    transparent 50%,
+    ${t} 50%,
+    ${t} 75%,
+    transparent 75%,
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solid",borderStartColor:re("inherit","whiteAlpha.300")(e),color:re("inherit","whiteAlpha.800")(e),_active:{bg:re("gray.200","whiteAlpha.300")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),bae=nT(e=>({root:mae,field:gae,stepperGroup:vae,stepper:rn(yae,e)??{}}));function Sh(e){var t,n;const r=(t=at.sizes)==null?void 0:t[e],o={lg:"md",md:"md",sm:"sm",xs:"sm"},i=((n=r.field)==null?void 0:n.fontSize)??"md",s=tT.fontSizes[i];return nT({field:{...r.field,paddingInlineEnd:rT.reference,verticalAlign:"top"},stepper:{fontSize:Wi(s).multiply(.75).toString(),_first:{borderTopEndRadius:o[e]},_last:{borderBottomEndRadius:o[e],mt:"-1px",borderTopWidth:1}}})}var xae={xs:Sh("xs"),sm:Sh("sm"),md:Sh("md"),lg:Sh("lg")},Sae=pae({baseStyle:bae,sizes:xae,variants:at.variants,defaultProps:at.defaultProps}),U8,wae={...(U8=at.baseStyle)==null?void 0:U8.field,textAlign:"center"},Cae={lg:{fontSize:"lg",w:12,h:12,borderRadius:"md"},md:{fontSize:"md",w:10,h:10,borderRadius:"md"},sm:{fontSize:"sm",w:8,h:8,borderRadius:"sm"},xs:{fontSize:"xs",w:6,h:6,borderRadius:"sm"}},G8,_ae={outline:e=>{var t,n;return((n=rn((t=at.variants)==null?void 0:t.outline,e))==null?void 0:n.field)??{}},flushed:e=>{var t,n;return((n=rn((t=at.variants)==null?void 0:t.flushed,e))==null?void 0:n.field)??{}},filled:e=>{var t,n;return((n=rn((t=at.variants)==null?void 0:t.filled,e))==null?void 0:n.field)??{}},unstyled:((G8=at.variants)==null?void 0:G8.unstyled.field)??{}},kae={baseStyle:wae,sizes:Cae,variants:_ae,defaultProps:at.defaultProps},{defineMultiStyleConfig:Eae,definePartsStyle:Lae}=Bt(Gne.keys),L2=kr("popper-bg"),Pae=kr("popper-arrow-bg"),Aae=kr("popper-arrow-shadow-color"),Tae={zIndex:10},Iae=e=>{const t=re("white","gray.700")(e),n=re("gray.200","whiteAlpha.300")(e);return{[L2.variable]:`colors.${t}`,bg:L2.reference,[Pae.variable]:L2.reference,[Aae.variable]:`colors.${n}`,width:"xs",border:"1px solid",borderColor:"inherit",borderRadius:"md",boxShadow:"sm",zIndex:"inherit",_focusVisible:{outline:0,boxShadow:"outline"}}},Mae={px:3,py:2,borderBottomWidth:"1px"},Oae={px:3,py:2},Rae={px:3,py:2,borderTopWidth:"1px"},Nae={position:"absolute",borderRadius:"md",top:1,insetEnd:2,padding:2},Dae=Lae(e=>({popper:Tae,content:Iae(e),header:Mae,body:Oae,footer:Rae,closeButton:Nae})),zae=Eae({baseStyle:Dae}),{defineMultiStyleConfig:Fae,definePartsStyle:$c}=Bt(Zne.keys),Bae=e=>{const{colorScheme:t,theme:n,isIndeterminate:r,hasStripe:o}=e,i=re($8(),$8("1rem","rgba(0,0,0,0.1)"))(e),s=re(`${t}.500`,`${t}.200`)(e),u=`linear-gradient(
+    to right,
+    transparent 0%,
+    ${vn(n,s)} 50%,
+    transparent 100%
+  )`;return{...!r&&o&&i,...r?{bgImage:u}:{bgColor:s}}},$ae={lineHeight:"1",fontSize:"0.25em",fontWeight:"bold",color:"white"},Vae=e=>({bg:re("gray.100","whiteAlpha.300")(e)}),Wae=e=>({transitionProperty:"common",transitionDuration:"slow",...Bae(e)}),Hae=$c(e=>({label:$ae,filledTrack:Wae(e),track:Vae(e)})),jae={xs:$c({track:{h:"1"}}),sm:$c({track:{h:"2"}}),md:$c({track:{h:"3"}}),lg:$c({track:{h:"4"}})},Uae=Fae({sizes:jae,baseStyle:Hae,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Gae,definePartsStyle:r1}=Bt(Kne.keys),Zae=e=>{var t;const n=(t=rn(u0.baseStyle,e))==null?void 0:t.control;return{...n,borderRadius:"full",_checked:{...n?._checked,_before:{content:'""',display:"inline-block",pos:"relative",w:"50%",h:"50%",borderRadius:"50%",bg:"currentColor"}}}},Kae=r1(e=>{var t,n,r,o;return{label:(n=(t=u0).baseStyle)==null?void 0:n.call(t,e).label,container:(o=(r=u0).baseStyle)==null?void 0:o.call(r,e).container,control:Zae(e)}}),qae={md:r1({control:{w:"4",h:"4"},label:{fontSize:"md"}}),lg:r1({control:{w:"5",h:"5"},label:{fontSize:"lg"}}),sm:r1({control:{width:"3",height:"3"},label:{fontSize:"sm"}})},Yae=Gae({baseStyle:Kae,sizes:qae,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Xae,definePartsStyle:Qae}=Bt(qne.keys),Jae=e=>{var t;return{...(t=at.baseStyle)==null?void 0:t.field,bg:re("white","gray.700")(e),appearance:"none",paddingBottom:"1px",lineHeight:"normal","> option, > optgroup":{bg:re("white","gray.700")(e)}}},ese={width:"6",height:"100%",insetEnd:"2",position:"relative",color:"currentColor",fontSize:"xl",_disabled:{opacity:.5}},tse=Qae(e=>({field:Jae(e),icon:ese})),wh={paddingInlineEnd:"8"},Z8,K8,q8,Y8,X8,Q8,J8,e7,nse={lg:{...(Z8=at.sizes)==null?void 0:Z8.lg,field:{...(K8=at.sizes)==null?void 0:K8.lg.field,...wh}},md:{...(q8=at.sizes)==null?void 0:q8.md,field:{...(Y8=at.sizes)==null?void 0:Y8.md.field,...wh}},sm:{...(X8=at.sizes)==null?void 0:X8.sm,field:{...(Q8=at.sizes)==null?void 0:Q8.sm.field,...wh}},xs:{...(J8=at.sizes)==null?void 0:J8.xs,field:{...(e7=at.sizes)==null?void 0:e7.sm.field,...wh},icon:{insetEnd:"1"}}},rse=Xae({baseStyle:tse,sizes:nse,variants:at.variants,defaultProps:at.defaultProps}),ose=ts("skeleton-start-color"),ise=ts("skeleton-end-color"),ase=e=>{const t=re("gray.100","gray.800")(e),n=re("gray.400","gray.600")(e),{startColor:r=t,endColor:o=n,theme:i}=e,s=vn(i,r),u=vn(i,o);return{[ose.variable]:s,[ise.variable]:u,opacity:.7,borderRadius:"2px",borderColor:s,background:u}},sse={baseStyle:ase},lse=e=>({borderRadius:"md",fontWeight:"semibold",_focusVisible:{boxShadow:"outline",padding:"4",position:"fixed",top:"6",insetStart:"6",bg:re("white","gray.700")(e)}}),use={baseStyle:lse},{defineMultiStyleConfig:cse,definePartsStyle:Am}=Bt(Yne.keys),Qf=ts("slider-thumb-size"),Jf=ts("slider-track-size"),fse=e=>{const{orientation:t}=e;return{display:"inline-block",position:"relative",cursor:"pointer",_disabled:{opacity:.6,cursor:"default",pointerEvents:"none"},...Ob({orientation:t,vertical:{h:"100%"},horizontal:{w:"100%"}})}},dse=e=>({...Ob({orientation:e.orientation,horizontal:{h:Jf.reference},vertical:{w:Jf.reference}}),overflow:"hidden",borderRadius:"sm",bg:re("gray.200","whiteAlpha.200")(e),_disabled:{bg:re("gray.300","whiteAlpha.300")(e)}}),pse=e=>{const{orientation:t}=e;return{...Ob({orientation:t,vertical:{left:"50%",transform:"translateX(-50%)",_active:{transform:"translateX(-50%) scale(1.15)"}},horizontal:{top:"50%",transform:"translateY(-50%)",_active:{transform:"translateY(-50%) scale(1.15)"}}}),w:Qf.reference,h:Qf.reference,display:"flex",alignItems:"center",justifyContent:"center",position:"absolute",outline:0,zIndex:1,borderRadius:"full",bg:"white",boxShadow:"base",border:"1px solid",borderColor:"transparent",transitionProperty:"transform",transitionDuration:"normal",_focusVisible:{boxShadow:"outline"},_disabled:{bg:"gray.300"}}},hse=e=>{const{colorScheme:t}=e;return{width:"inherit",height:"inherit",bg:re(`${t}.500`,`${t}.200`)(e)}},mse=Am(e=>({container:fse(e),track:dse(e),thumb:pse(e),filledTrack:hse(e)})),gse=Am({container:{[Qf.variable]:"sizes.4",[Jf.variable]:"sizes.1"}}),vse=Am({container:{[Qf.variable]:"sizes.3.5",[Jf.variable]:"sizes.1"}}),yse=Am({container:{[Qf.variable]:"sizes.2.5",[Jf.variable]:"sizes.0.5"}}),bse={lg:gse,md:vse,sm:yse},xse=cse({baseStyle:mse,sizes:bse,defaultProps:{size:"md",colorScheme:"blue"}}),xs=kr("spinner-size"),Sse={width:[xs.reference],height:[xs.reference]},wse={xs:{[xs.variable]:"sizes.3"},sm:{[xs.variable]:"sizes.4"},md:{[xs.variable]:"sizes.6"},lg:{[xs.variable]:"sizes.8"},xl:{[xs.variable]:"sizes.12"}},Cse={baseStyle:Sse,sizes:wse,defaultProps:{size:"md"}},{defineMultiStyleConfig:_se,definePartsStyle:oT}=Bt(Xne.keys),kse={fontWeight:"medium"},Ese={opacity:.8,marginBottom:"2"},Lse={verticalAlign:"baseline",fontWeight:"semibold"},Pse={marginEnd:1,w:"3.5",h:"3.5",verticalAlign:"middle"},Ase=oT({container:{},label:kse,helpText:Ese,number:Lse,icon:Pse}),Tse={md:oT({label:{fontSize:"sm"},helpText:{fontSize:"sm"},number:{fontSize:"2xl"}})},Ise=_se({baseStyle:Ase,sizes:Tse,defaultProps:{size:"md"}}),{defineMultiStyleConfig:Mse,definePartsStyle:o1}=Bt(Qne.keys),pf=kr("switch-track-width"),Ms=kr("switch-track-height"),P2=kr("switch-track-diff"),Ose=Wi.subtract(pf,Ms),F4=kr("switch-thumb-x"),Rse=e=>{const{colorScheme:t}=e;return{borderRadius:"full",p:"0.5",width:[pf.reference],height:[Ms.reference],transitionProperty:"common",transitionDuration:"fast",bg:re("gray.300","whiteAlpha.400")(e),_focusVisible:{boxShadow:"outline"},_disabled:{opacity:.4,cursor:"not-allowed"},_checked:{bg:re(`${t}.500`,`${t}.200`)(e)}}},Nse={bg:"white",transitionProperty:"transform",transitionDuration:"normal",borderRadius:"inherit",width:[Ms.reference],height:[Ms.reference],_checked:{transform:`translateX(${F4.reference})`}},Dse=o1(e=>({container:{[P2.variable]:Ose,[F4.variable]:P2.reference,_rtl:{[F4.variable]:Wi(P2).negate().toString()}},track:Rse(e),thumb:Nse})),zse={sm:o1({container:{[pf.variable]:"1.375rem",[Ms.variable]:"sizes.3"}}),md:o1({container:{[pf.variable]:"1.875rem",[Ms.variable]:"sizes.4"}}),lg:o1({container:{[pf.variable]:"2.875rem",[Ms.variable]:"sizes.6"}})},Fse=Mse({baseStyle:Dse,sizes:zse,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Bse,definePartsStyle:su}=Bt(Jne.keys),$se=su({table:{fontVariantNumeric:"lining-nums tabular-nums",borderCollapse:"collapse",width:"full"},th:{fontFamily:"heading",fontWeight:"bold",textTransform:"uppercase",letterSpacing:"wider",textAlign:"start"},td:{textAlign:"start"},caption:{mt:4,fontFamily:"heading",textAlign:"center",fontWeight:"medium"}}),c0={"&[data-is-numeric=true]":{textAlign:"end"}},Vse=su(e=>{const{colorScheme:t}=e;return{th:{color:re("gray.600","gray.400")(e),borderBottom:"1px",borderColor:re(`${t}.100`,`${t}.700`)(e),...c0},td:{borderBottom:"1px",borderColor:re(`${t}.100`,`${t}.700`)(e),...c0},caption:{color:re("gray.600","gray.100")(e)},tfoot:{tr:{"&:last-of-type":{th:{borderBottomWidth:0}}}}}}),Wse=su(e=>{const{colorScheme:t}=e;return{th:{color:re("gray.600","gray.400")(e),borderBottom:"1px",borderColor:re(`${t}.100`,`${t}.700`)(e),...c0},td:{borderBottom:"1px",borderColor:re(`${t}.100`,`${t}.700`)(e),...c0},caption:{color:re("gray.600","gray.100")(e)},tbody:{tr:{"&:nth-of-type(odd)":{"th, td":{borderBottomWidth:"1px",borderColor:re(`${t}.100`,`${t}.700`)(e)},td:{background:re(`${t}.100`,`${t}.700`)(e)}}}},tfoot:{tr:{"&:last-of-type":{th:{borderBottomWidth:0}}}}}}),Hse={simple:Vse,striped:Wse,unstyled:{}},jse={sm:su({th:{px:"4",py:"1",lineHeight:"4",fontSize:"xs"},td:{px:"4",py:"2",fontSize:"sm",lineHeight:"4"},caption:{px:"4",py:"2",fontSize:"xs"}}),md:su({th:{px:"6",py:"3",lineHeight:"4",fontSize:"xs"},td:{px:"6",py:"4",lineHeight:"5"},caption:{px:"6",py:"2",fontSize:"sm"}}),lg:su({th:{px:"8",py:"4",lineHeight:"5",fontSize:"sm"},td:{px:"8",py:"5",lineHeight:"6"},caption:{px:"6",py:"2",fontSize:"md"}})},Use=Bse({baseStyle:$se,variants:Hse,sizes:jse,defaultProps:{variant:"simple",size:"md",colorScheme:"gray"}}),{defineMultiStyleConfig:Gse,definePartsStyle:fi}=Bt(ere.keys),Zse=e=>{const{orientation:t}=e;return{display:t==="vertical"?"flex":"block"}},Kse=e=>{const{isFitted:t}=e;return{flex:t?1:void 0,transitionProperty:"common",transitionDuration:"normal",_focusVisible:{zIndex:1,boxShadow:"outline"},_disabled:{cursor:"not-allowed",opacity:.4}}},qse=e=>{const{align:t="start",orientation:n}=e;return{justifyContent:{end:"flex-end",center:"center",start:"flex-start"}[t],flexDirection:n==="vertical"?"column":"row"}},Yse={p:4},Xse=fi(e=>({root:Zse(e),tab:Kse(e),tablist:qse(e),tabpanel:Yse})),Qse={sm:fi({tab:{py:1,px:4,fontSize:"sm"}}),md:fi({tab:{fontSize:"md",py:2,px:4}}),lg:fi({tab:{fontSize:"lg",py:3,px:4}})},Jse=fi(e=>{const{colorScheme:t,orientation:n}=e,r=n==="vertical",o=n==="vertical"?"borderStart":"borderBottom",i=r?"marginStart":"marginBottom";return{tablist:{[o]:"2px solid",borderColor:"inherit"},tab:{[o]:"2px solid",borderColor:"transparent",[i]:"-2px",_selected:{color:re(`${t}.600`,`${t}.300`)(e),borderColor:"currentColor"},_active:{bg:re("gray.200","whiteAlpha.300")(e)},_disabled:{_active:{bg:"none"}}}}}),ele=fi(e=>{const{colorScheme:t}=e;return{tab:{borderTopRadius:"md",border:"1px solid",borderColor:"transparent",mb:"-1px",_selected:{color:re(`${t}.600`,`${t}.300`)(e),borderColor:"inherit",borderBottomColor:re("white","gray.800")(e)}},tablist:{mb:"-1px",borderBottom:"1px solid",borderColor:"inherit"}}}),tle=fi(e=>{const{colorScheme:t}=e;return{tab:{border:"1px solid",borderColor:"inherit",bg:re("gray.50","whiteAlpha.50")(e),mb:"-1px",_notLast:{marginEnd:"-1px"},_selected:{bg:re("#fff","gray.800")(e),color:re(`${t}.600`,`${t}.300`)(e),borderColor:"inherit",borderTopColor:"currentColor",borderBottomColor:"transparent"}},tablist:{mb:"-1px",borderBottom:"1px solid",borderColor:"inherit"}}}),nle=fi(e=>{const{colorScheme:t,theme:n}=e;return{tab:{borderRadius:"full",fontWeight:"semibold",color:"gray.600",_selected:{color:vn(n,`${t}.700`),bg:vn(n,`${t}.100`)}}}}),rle=fi(e=>{const{colorScheme:t}=e;return{tab:{borderRadius:"full",fontWeight:"semibold",color:re("gray.600","inherit")(e),_selected:{color:re("#fff","gray.800")(e),bg:re(`${t}.600`,`${t}.300`)(e)}}}}),ole=fi({}),ile={line:Jse,enclosed:ele,"enclosed-colored":tle,"soft-rounded":nle,"solid-rounded":rle,unstyled:ole},ale=Gse({baseStyle:Xse,sizes:Qse,variants:ile,defaultProps:{size:"md",variant:"line",colorScheme:"blue"}}),{defineMultiStyleConfig:sle,definePartsStyle:Os}=Bt(tre.keys),lle={fontWeight:"medium",lineHeight:1.2,outline:0,borderRadius:"md",_focusVisible:{boxShadow:"outline"}},ule={lineHeight:1.2,overflow:"visible"},cle={fontSize:"lg",w:"5",h:"5",transitionProperty:"common",transitionDuration:"normal",borderRadius:"full",marginStart:"1.5",marginEnd:"-1",opacity:.5,_disabled:{opacity:.4},_focusVisible:{boxShadow:"outline",bg:"rgba(0, 0, 0, 0.14)"},_hover:{opacity:.8},_active:{opacity:1}},fle=Os({container:lle,label:ule,closeButton:cle}),dle={sm:Os({container:{minH:"5",minW:"5",fontSize:"xs",px:"2"},closeButton:{marginEnd:"-2px",marginStart:"0.35rem"}}),md:Os({container:{minH:"6",minW:"6",fontSize:"sm",px:"2"}}),lg:Os({container:{minH:"8",minW:"8",fontSize:"md",px:"3"}})},ple={subtle:Os(e=>{var t;return{container:(t=cf.variants)==null?void 0:t.subtle(e)}}),solid:Os(e=>{var t;return{container:(t=cf.variants)==null?void 0:t.solid(e)}}),outline:Os(e=>{var t;return{container:(t=cf.variants)==null?void 0:t.outline(e)}})},hle=sle({variants:ple,baseStyle:fle,sizes:dle,defaultProps:{size:"md",variant:"subtle",colorScheme:"gray"}}),t7,mle={...(t7=at.baseStyle)==null?void 0:t7.field,paddingY:"2",minHeight:"20",lineHeight:"short",verticalAlign:"top"},n7,gle={outline:e=>{var t;return((t=at.variants)==null?void 0:t.outline(e).field)??{}},flushed:e=>{var t;return((t=at.variants)==null?void 0:t.flushed(e).field)??{}},filled:e=>{var t;return((t=at.variants)==null?void 0:t.filled(e).field)??{}},unstyled:((n7=at.variants)==null?void 0:n7.unstyled.field)??{}},r7,o7,i7,a7,vle={xs:((r7=at.sizes)==null?void 0:r7.xs.field)??{},sm:((o7=at.sizes)==null?void 0:o7.sm.field)??{},md:((i7=at.sizes)==null?void 0:i7.md.field)??{},lg:((a7=at.sizes)==null?void 0:a7.lg.field)??{}},yle={baseStyle:mle,sizes:vle,variants:gle,defaultProps:{size:"md",variant:"outline"}},A2=kr("tooltip-bg"),s7=kr("tooltip-fg"),ble=kr("popper-arrow-bg"),xle=e=>{const 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ode(t,n,r)),this}open(){return(this.readyState==="closed"||this.readyState==="")&&(this.readyState="opening",this.doOpen()),this}close(){return(this.readyState==="opening"||this.readyState==="open")&&(this.doClose(),this.onClose()),this}send(t){this.readyState==="open"&&this.write(t)}onOpen(){this.readyState="open",this.writable=!0,super.emitReserved("open")}onData(t){const n=eI(t,this.socket.binaryType);this.onPacket(n)}onPacket(t){super.emitReserved("packet",t)}onClose(t){this.readyState="closed",super.emitReserved("close",t)}}const aI="0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_".split(""),t5=64,ide={};let O7=0,_h=0,R7;function N7(e){let t="";do t=aI[e%t5]+t,e=Math.floor(e/t5);while(e>0);return t}function sI(){const e=N7(+new Date);return e!==R7?(O7=0,R7=e):e+"."+N7(O7++)}for(;_h<t5;_h++)ide[aI[_h]]=_h;function lI(e){let t="";for(let n in e)e.hasOwnProperty(n)&&(t.length&&(t+="&"),t+=encodeURIComponent(n)+"="+encodeURIComponent(e[n]));return t}function ade(e){let t={},n=e.split("&");for(let r=0,o=n.length;r<o;r++){let i=n[r].split("=");t[decodeURIComponent(i[0])]=decodeURIComponent(i[1])}return t}let uI=!1;try{uI=typeof XMLHttpRequest<"u"&&"withCredentials"in new XMLHttpRequest}catch{}const sde=uI;function cI(e){const t=e.xdomain;try{if(typeof XMLHttpRequest<"u"&&(!t||sde))return new XMLHttpRequest}catch{}if(!t)try{return new Ra[["Active"].concat("Object").join("X")]("Microsoft.XMLHTTP")}catch{}}function lde(){}const ude=function(){return new cI({xdomain:!1}).responseType!=null}();class cde extends iI{constructor(t){if(super(t),this.polling=!1,typeof location<"u"){const r=location.protocol==="https:";let o=location.port;o||(o=r?"443":"80"),this.xd=typeof location<"u"&&t.hostname!==location.hostname||o!==t.port,this.xs=t.secure!==r}const n=t&&t.forceBase64;this.supportsBinary=ude&&!n}get name(){return"polling"}doOpen(){this.poll()}pause(t){this.readyState="pausing";const n=()=>{this.readyState="paused",t()};if(this.polling||!this.writable){let r=0;this.polling&&(r++,this.once("pollComplete",function(){--r||n()})),this.writable||(r++,this.once("drain",function(){--r||n()}))}else n()}poll(){this.polling=!0,this.doPoll(),this.emitReserved("poll")}onData(t){const n=r=>{if(this.readyState==="opening"&&r.type==="open"&&this.onOpen(),r.type==="close")return this.onClose({description:"transport closed by the server"}),!1;this.onPacket(r)};Xfe(t,this.socket.binaryType).forEach(n),this.readyState!=="closed"&&(this.polling=!1,this.emitReserved("pollComplete"),this.readyState==="open"&&this.poll())}doClose(){const t=()=>{this.write([{type:"close"}])};this.readyState==="open"?t():this.once("open",t)}write(t){this.writable=!1,Yfe(t,n=>{this.doWrite(n,()=>{this.writable=!0,this.emitReserved("drain")})})}uri(){let t=this.query||{};const n=this.opts.secure?"https":"http";let r="";this.opts.timestampRequests!==!1&&(t[this.opts.timestampParam]=sI()),!this.supportsBinary&&!t.sid&&(t.b64=1),this.opts.port&&(n==="https"&&Number(this.opts.port)!==443||n==="http"&&Number(this.opts.port)!==80)&&(r=":"+this.opts.port);const o=lI(t),i=this.opts.hostname.indexOf(":")!==-1;return n+"://"+(i?"["+this.opts.hostname+"]":this.opts.hostname)+r+this.opts.path+(o.length?"?"+o:"")}request(t={}){return Object.assign(t,{xd:this.xd,xs:this.xs},this.opts),new pi(this.uri(),t)}doWrite(t,n){const r=this.request({method:"POST",data:t});r.on("success",n),r.on("error",(o,i)=>{this.onError("xhr post error",o,i)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(n,r)=>{this.onError("xhr poll error",n,r)}),this.pollXhr=t}}class pi extends cn{constructor(t,n){super(),Vm(this,n),this.opts=n,this.method=n.method||"GET",this.uri=t,this.async=n.async!==!1,this.data=n.data!==void 0?n.data:null,this.create()}create(){const t=oI(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");t.xdomain=!!this.opts.xd,t.xscheme=!!this.opts.xs;const n=this.xhr=new cI(t);try{n.open(this.method,this.uri,this.async);try{if(this.opts.extraHeaders){n.setDisableHeaderCheck&&n.setDisableHeaderCheck(!0);for(let r in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(r)&&n.setRequestHeader(r,this.opts.extraHeaders[r])}}catch{}if(this.method==="POST")try{n.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{n.setRequestHeader("Accept","*/*")}catch{}"withCredentials"in n&&(n.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(n.timeout=this.opts.requestTimeout),n.onreadystatechange=()=>{n.readyState===4&&(n.status===200||n.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof n.status=="number"?n.status:0)},0))},n.send(this.data)}catch(r){this.setTimeoutFn(()=>{this.onError(r)},0);return}typeof document<"u"&&(this.index=pi.requestsCount++,pi.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=lde,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete pi.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}}pi.requestsCount=0;pi.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",D7);else if(typeof addEventListener=="function"){const e="onpagehide"in Ra?"pagehide":"unload";addEventListener(e,D7,!1)}}function D7(){for(let e in pi.requests)pi.requests.hasOwnProperty(e)&&pi.requests[e].abort()}const fde=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),kh=Ra.WebSocket||Ra.MozWebSocket,z7=!0,dde="arraybuffer",F7=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class pde extends iI{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),n=this.opts.protocols,r=F7?{}:oI(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(r.headers=this.opts.extraHeaders);try{this.ws=z7&&!F7?n?new kh(t,n):new kh(t):new kh(t,n,r)}catch(o){return this.emitReserved("error",o)}this.ws.binaryType=this.socket.binaryType||dde,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],o=n===t.length-1;JT(r,this.supportsBinary,i=>{const s={};try{z7&&this.ws.send(i)}catch{}o&&fde(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){let t=this.query||{};const n=this.opts.secure?"wss":"ws";let r="";this.opts.port&&(n==="wss"&&Number(this.opts.port)!==443||n==="ws"&&Number(this.opts.port)!==80)&&(r=":"+this.opts.port),this.opts.timestampRequests&&(t[this.opts.timestampParam]=sI()),this.supportsBinary||(t.b64=1);const o=lI(t),i=this.opts.hostname.indexOf(":")!==-1;return n+"://"+(i?"["+this.opts.hostname+"]":this.opts.hostname)+r+this.opts.path+(o.length?"?"+o:"")}check(){return!!kh}}const hde={websocket:pde,polling:cde},mde=/^(?:(?![^:@]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@]*)(?::([^:@]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,gde=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function n5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let o=mde.exec(e||""),i={},s=14;for(;s--;)i[gde[s]]=o[s]||"";return n!=-1&&r!=-1&&(i.source=t,i.host=i.host.substring(1,i.host.length-1).replace(/;/g,":"),i.authority=i.authority.replace("[","").replace("]","").replace(/;/g,":"),i.ipv6uri=!0),i.pathNames=vde(i,i.path),i.queryKey=yde(i,i.query),i}function vde(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.substr(0,1)=="/"||t.length===0)&&r.splice(0,1),t.substr(t.length-1,1)=="/"&&r.splice(r.length-1,1),r}function yde(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,o,i){o&&(n[o]=i)}),n}class Pa extends cn{constructor(t,n={}){super(),t&&typeof t=="object"&&(n=t,t=null),t?(t=n5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=n5(n.host).host),Vm(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket"],this.readyState="",this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!0},n),this.opts.path=this.opts.path.replace(/\/$/,"")+"/",typeof this.opts.query=="string"&&(this.opts.query=ade(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&addEventListener("beforeunload",()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},!1),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=rI,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts.transportOptions[t],this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port});return new hde[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Pa.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Pa.priorWebsocketSuccess=!1;const o=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",h=>{if(!r)if(h.type==="pong"&&h.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Pa.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const m=new Error("probe error");m.transport=n.name,this.emitReserved("upgradeError",m)}}))};function i(){r||(r=!0,d(),n.close(),n=null)}const s=h=>{const m=new Error("probe error: "+h);m.transport=n.name,i(),this.emitReserved("upgradeError",m)};function u(){s("transport closed")}function c(){s("socket closed")}function f(h){n&&h.name!==n.name&&i()}const d=()=>{n.removeListener("open",o),n.removeListener("error",s),n.removeListener("close",u),this.off("close",c),this.off("upgrading",f)};n.once("open",o),n.once("error",s),n.once("close",u),this.once("close",c),this.once("upgrading",f),n.open()}onOpen(){if(this.readyState="open",Pa.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade&&this.transport.pause){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const o=this.writeBuffer[r].data;if(o&&(n+=nde(o)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,o){if(typeof n=="function"&&(o=n,n=void 0),typeof r=="function"&&(o=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const i={type:t,data:n,options:r};this.emitReserved("packetCreate",i),this.writeBuffer.push(i),o&&this.once("flush",o),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Pa.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&removeEventListener("offline",this.offlineEventListener,!1),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const o=t.length;for(;r<o;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}}Pa.protocol=rI;function bde(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=n5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const i=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+i+":"+r.port+t,r.href=r.protocol+"://"+i+(n&&n.port===r.port?"":":"+r.port),r}const xde=typeof ArrayBuffer=="function",Sde=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,fI=Object.prototype.toString,wde=typeof Blob=="function"||typeof Blob<"u"&&fI.call(Blob)==="[object BlobConstructor]",Cde=typeof File=="function"||typeof File<"u"&&fI.call(File)==="[object FileConstructor]";function e6(e){return xde&&(e instanceof ArrayBuffer||Sde(e))||wde&&e instanceof Blob||Cde&&e instanceof File}function u1(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(u1(e[n]))return!0;return!1}if(e6(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return u1(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&u1(e[n]))return!0;return!1}function _de(e){const t=[],n=e.data,r=e;return r.data=r5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function r5(e,t){if(!e)return e;if(e6(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=r5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=r5(e[r],t));return n}return e}function kde(e,t){return e.data=o5(e.data,t),e.attachments=void 0,e}function o5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=o5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=o5(e[n],t));return e}const Ede=5;var Qe;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Qe||(Qe={}));class Lde{constructor(t){this.replacer=t}encode(t){return(t.type===Qe.EVENT||t.type===Qe.ACK)&&u1(t)?(t.type=t.type===Qe.EVENT?Qe.BINARY_EVENT:Qe.BINARY_ACK,this.encodeAsBinary(t)):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Qe.BINARY_EVENT||t.type===Qe.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=_de(t),r=this.encodeAsString(n.packet),o=n.buffers;return o.unshift(r),o}}class t6 extends cn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t),n.type===Qe.BINARY_EVENT||n.type===Qe.BINARY_ACK?(this.reconstructor=new Pde(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(e6(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Qe[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Qe.BINARY_EVENT||r.type===Qe.BINARY_ACK){const i=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(i,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const i=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(i,n)}else r.nsp="/";const o=t.charAt(n+1);if(o!==""&&Number(o)==o){const i=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(i,n+1))}if(t.charAt(++n)){const i=this.tryParse(t.substr(n));if(t6.isPayloadValid(r.type,i))r.data=i;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Qe.CONNECT:return typeof n=="object";case Qe.DISCONNECT:return n===void 0;case Qe.CONNECT_ERROR:return typeof n=="string"||typeof n=="object";case Qe.EVENT:case Qe.BINARY_EVENT:return Array.isArray(n)&&n.length>0;case Qe.ACK:case Qe.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&this.reconstructor.finishedReconstruction()}}class Pde{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=kde(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Ade=Object.freeze(Object.defineProperty({__proto__:null,protocol:Ede,get PacketType(){return Qe},Encoder:Lde,Decoder:t6},Symbol.toStringTag,{value:"Module"}));function Mo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Tde=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class dI extends cn{constructor(t,n,r){super(),this.connected=!1,this.receiveBuffer=[],this.sendBuffer=[],this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Mo(t,"open",this.onopen.bind(this)),Mo(t,"packet",this.onpacket.bind(this)),Mo(t,"error",this.onerror.bind(this)),Mo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Tde.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');n.unshift(t);const r={type:Qe.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,u=n.pop();this._registerAckCallback(s,u),r.id=s}const o=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!o||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){const r=this.flags.timeout;if(r===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let i=0;i<this.sendBuffer.length;i++)this.sendBuffer[i].id===t&&this.sendBuffer.splice(i,1);n.call(this,new Error("operation has timed out"))},r);this.acks[t]=(...i)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...i])}}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this.packet({type:Qe.CONNECT,data:t})}):this.packet({type:Qe.CONNECT,data:this.auth})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Qe.CONNECT:if(t.data&&t.data.sid){const o=t.data.sid;this.onconnect(o)}else this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Qe.EVENT:case Qe.BINARY_EVENT:this.onevent(t);break;case Qe.ACK:case Qe.BINARY_ACK:this.onack(t);break;case Qe.DISCONNECT:this.ondisconnect();break;case Qe.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t)}ack(t){const n=this;let r=!1;return function(...o){r||(r=!0,n.packet({type:Qe.ACK,id:t,data:o}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t){this.id=t,this.connected=!0,this.emitBuffered(),this.emitReserved("connect")}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Qe.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Vu(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Vu.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=(Math.floor(t*10)&1)==0?e-n:e+n}return Math.min(e,this.max)|0};Vu.prototype.reset=function(){this.attempts=0};Vu.prototype.setMin=function(e){this.ms=e};Vu.prototype.setMax=function(e){this.max=e};Vu.prototype.setJitter=function(e){this.jitter=e};class i5 extends cn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,Vm(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Vu({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const o=n.parser||Ade;this.encoder=new o.Encoder,this.decoder=new o.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Pa(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const o=Mo(n,"open",function(){r.onopen(),t&&t()}),i=Mo(n,"error",s=>{r.cleanup(),r._readyState="closed",this.emitReserved("error",s),t?t(s):r.maybeReconnectOnOpen()});if(this._timeout!==!1){const s=this._timeout;s===0&&o();const u=this.setTimeoutFn(()=>{o(),n.close(),n.emit("error",new Error("timeout"))},s);this.opts.autoUnref&&u.unref(),this.subs.push(function(){clearTimeout(u)})}return this.subs.push(o),this.subs.push(i),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Mo(t,"ping",this.onping.bind(this)),Mo(t,"data",this.ondata.bind(this)),Mo(t,"error",this.onerror.bind(this)),Mo(t,"close",this.onclose.bind(this)),Mo(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch{this.onclose("parse error")}}ondecoded(t){this.emitReserved("packet",t)}onerror(t){this.emitReserved("error",t)}socket(t,n){let r=this.nsps[t];return r||(r=new dI(this,t,n),this.nsps[t]=r),r}_destroy(t){const n=Object.keys(this.nsps);for(const r of n)if(this.nsps[r].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let r=0;r<n.length;r++)this.engine.write(n[r],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(o=>{o?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",o)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(function(){clearTimeout(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const Mc={};function c1(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=bde(e,t.path||"/socket.io"),r=n.source,o=n.id,i=n.path,s=Mc[o]&&i in Mc[o].nsps,u=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let c;return u?c=new i5(r,t):(Mc[o]||(Mc[o]=new i5(r,t)),c=Mc[o]),n.query&&!t.query&&(t.query=n.queryKey),c.socket(n.path,t)}Object.assign(c1,{Manager:i5,Socket:dI,io:c1,connect:c1});let Eh;const Ide=new Uint8Array(16);function Mde(){if(!Eh&&(Eh=typeof crypto<"u"&&crypto.getRandomValues&&crypto.getRandomValues.bind(crypto),!Eh))throw new Error("crypto.getRandomValues() not supported. See https://github.com/uuidjs/uuid#getrandomvalues-not-supported");return Eh(Ide)}const Tn=[];for(let e=0;e<256;++e)Tn.push((e+256).toString(16).slice(1));function Ode(e,t=0){return(Tn[e[t+0]]+Tn[e[t+1]]+Tn[e[t+2]]+Tn[e[t+3]]+"-"+Tn[e[t+4]]+Tn[e[t+5]]+"-"+Tn[e[t+6]]+Tn[e[t+7]]+"-"+Tn[e[t+8]]+Tn[e[t+9]]+"-"+Tn[e[t+10]]+Tn[e[t+11]]+Tn[e[t+12]]+Tn[e[t+13]]+Tn[e[t+14]]+Tn[e[t+15]]).toLowerCase()}const Rde=typeof crypto<"u"&&crypto.randomUUID&&crypto.randomUUID.bind(crypto),B7={randomUUID:Rde};function Oc(e,t,n){if(B7.randomUUID&&!t&&!e)return B7.randomUUID();e=e||{};const r=e.random||(e.rng||Mde)();if(r[6]=r[6]&15|64,r[8]=r[8]&63|128,t){n=n||0;for(let o=0;o<16;++o)t[n+o]=r[o];return t}return Ode(r)}var Nde=/d{1,4}|D{3,4}|m{1,4}|yy(?:yy)?|([HhMsTt])\1?|W{1,2}|[LlopSZN]|"[^"]*"|'[^']*'/g,Dde=/\b(?:[A-Z]{1,3}[A-Z][TC])(?:[-+]\d{4})?|((?:Australian )?(?:Pacific|Mountain|Central|Eastern|Atlantic) (?:Standard|Daylight|Prevailing) Time)\b/g,zde=/[^-+\dA-Z]/g;function 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mr.dayNames[u()+7]},DDDD:function(){return V7({y:f(),m:c(),d:s(),_:i(),dayName:mr.dayNames[u()+7]})},m:function(){return c()+1},mm:function(){return Or(c()+1)},mmm:function(){return mr.monthNames[c()]},mmmm:function(){return mr.monthNames[c()+12]},yy:function(){return String(f()).slice(2)},yyyy:function(){return Or(f(),4)},h:function(){return d()%12||12},hh:function(){return Or(d()%12||12)},H:function(){return d()},HH:function(){return Or(d())},M:function(){return h()},MM:function(){return Or(h())},s:function(){return m()},ss:function(){return Or(m())},l:function(){return Or(g(),3)},L:function(){return Or(Math.floor(g()/10))},t:function(){return d()<12?mr.timeNames[0]:mr.timeNames[1]},tt:function(){return d()<12?mr.timeNames[2]:mr.timeNames[3]},T:function(){return d()<12?mr.timeNames[4]:mr.timeNames[5]},TT:function(){return d()<12?mr.timeNames[6]:mr.timeNames[7]},Z:function(){return 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n=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:n.flexBasis!=="auto"?n.flexBasis:void 0})}},t.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},t.prototype.createSizeForCssProperty=function(n,r){var o=this.propsSize&&this.propsSize[r];return this.state[r]==="auto"&&this.state.original[r]===n&&(typeof o>"u"||o==="auto")?"auto":n},t.prototype.calculateNewMaxFromBoundary=function(n,r){var o=this.props.boundsByDirection,i=this.state.direction,s=o&&Pl("left",i),u=o&&Pl("top",i),c,f;if(this.props.bounds==="parent"){var d=this.parentNode;d&&(c=s?this.resizableRight-this.parentLeft:d.offsetWidth+(this.parentLeft-this.resizableLeft),f=u?this.resizableBottom-this.parentTop:d.offsetHeight+(this.parentTop-this.resizableTop))}else this.props.bounds==="window"?this.window&&(c=s?this.resizableRight:this.window.innerWidth-this.resizableLeft,f=u?this.resizableBottom:this.window.innerHeight-this.resizableTop):this.props.bounds&&(c=s?this.resizableRight-this.targetLeft:this.props.bounds.offsetWidth+(this.targetLeft-this.resizableLeft),f=u?this.resizableBottom-this.targetTop:this.props.bounds.offsetHeight+(this.targetTop-this.resizableTop));return c&&Number.isFinite(c)&&(n=n&&n<c?n:c),f&&Number.isFinite(f)&&(r=r&&r<f?r:f),{maxWidth:n,maxHeight:r}},t.prototype.calculateNewSizeFromDirection=function(n,r){var o=this.props.scale||1,i=this.props.resizeRatio||1,s=this.state,u=s.direction,c=s.original,f=this.props,d=f.lockAspectRatio,h=f.lockAspectRatioExtraHeight,m=f.lockAspectRatioExtraWidth,g=c.width,b=c.height,x=h||0,E=m||0;return Pl("right",u)&&(g=c.width+(n-c.x)*i/o,d&&(b=(g-E)/this.ratio+x)),Pl("left",u)&&(g=c.width-(n-c.x)*i/o,d&&(b=(g-E)/this.ratio+x)),Pl("bottom",u)&&(b=c.height+(r-c.y)*i/o,d&&(g=(b-x)*this.ratio+E)),Pl("top",u)&&(b=c.height-(r-c.y)*i/o,d&&(g=(b-x)*this.ratio+E)),{newWidth:g,newHeight:b}},t.prototype.calculateNewSizeFromAspectRatio=function(n,r,o,i){var s=this.props,u=s.lockAspectRatio,c=s.lockAspectRatioExtraHeight,f=s.lockAspectRatioExtraWidth,d=typeof i.width>"u"?10:i.width,h=typeof o.width>"u"||o.width<0?n:o.width,m=typeof i.height>"u"?10:i.height,g=typeof o.height>"u"||o.height<0?r:o.height,b=c||0,x=f||0;if(u){var E=(m-b)*this.ratio+x,w=(g-b)*this.ratio+x,S=(d-x)/this.ratio+b,_=(h-x)/this.ratio+b,L=Math.max(d,E),T=Math.min(h,w),R=Math.max(m,S),N=Math.min(g,_);n=Th(n,L,T),r=Th(r,R,N)}else n=Th(n,d,h),r=Th(r,m,g);return{newWidth:n,newHeight:r}},t.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var n=this.parentNode;if(n){var r=n.getBoundingClientRect();this.parentLeft=r.left,this.parentTop=r.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var o=this.props.bounds.getBoundingClientRect();this.targetLeft=o.left,this.targetTop=o.top}if(this.resizable){var i=this.resizable.getBoundingClientRect(),s=i.left,u=i.top,c=i.right,f=i.bottom;this.resizableLeft=s,this.resizableRight=c,this.resizableTop=u,this.resizableBottom=f}},t.prototype.onResizeStart=function(n,r){if(!(!this.resizable||!this.window)){var o=0,i=0;if(n.nativeEvent&&r0e(n.nativeEvent)?(o=n.nativeEvent.clientX,i=n.nativeEvent.clientY):n.nativeEvent&&Ih(n.nativeEvent)&&(o=n.nativeEvent.touches[0].clientX,i=n.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var s=this.props.onResizeStart(n,r,this.resizable);if(s===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof this.props.size.width<"u"&&this.props.size.width!==this.state.width&&this.setState({width:this.props.size.width})),this.ratio=typeof this.props.lockAspectRatio=="number"?this.props.lockAspectRatio:this.size.width/this.size.height;var u,c=this.window.getComputedStyle(this.resizable);if(c.flexBasis!=="auto"){var f=this.parentNode;if(f){var d=this.window.getComputedStyle(f).flexDirection;this.flexDir=d.startsWith("row")?"row":"column",u=c.flexBasis}}this.setBoundingClientRect(),this.bindEvents();var h={original:{x:o,y:i,width:this.size.width,height:this.size.height},isResizing:!0,backgroundStyle:Xo(Xo({},this.state.backgroundStyle),{cursor:this.window.getComputedStyle(n.target).cursor||"auto"}),direction:r,flexBasis:u};this.setState(h)}},t.prototype.onMouseMove=function(n){var r=this;if(!(!this.state.isResizing||!this.resizable||!this.window)){if(this.window.TouchEvent&&Ih(n))try{n.preventDefault(),n.stopPropagation()}catch{}var o=this.props,i=o.maxWidth,s=o.maxHeight,u=o.minWidth,c=o.minHeight,f=Ih(n)?n.touches[0].clientX:n.clientX,d=Ih(n)?n.touches[0].clientY:n.clientY,h=this.state,m=h.direction,g=h.original,b=h.width,x=h.height,E=this.getParentSize(),w=o0e(E,this.window.innerWidth,this.window.innerHeight,i,s,u,c);i=w.maxWidth,s=w.maxHeight,u=w.minWidth,c=w.minHeight;var S=this.calculateNewSizeFromDirection(f,d),_=S.newHeight,L=S.newWidth,T=this.calculateNewMaxFromBoundary(i,s);this.props.snap&&this.props.snap.x&&(L=dC(L,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(_=dC(_,this.props.snap.y,this.props.snapGap));var R=this.calculateNewSizeFromAspectRatio(L,_,{width:T.maxWidth,height:T.maxHeight},{width:u,height:c});if(L=R.newWidth,_=R.newHeight,this.props.grid){var N=fC(L,this.props.grid[0]),z=fC(_,this.props.grid[1]),K=this.props.snapGap||0;L=K===0||Math.abs(N-L)<=K?N:L,_=K===0||Math.abs(z-_)<=K?z:_}var W={width:L-g.width,height:_-g.height};if(b&&typeof b=="string"){if(b.endsWith("%")){var J=L/E.width*100;L=J+"%"}else if(b.endsWith("vw")){var ve=L/this.window.innerWidth*100;L=ve+"vw"}else if(b.endsWith("vh")){var xe=L/this.window.innerHeight*100;L=xe+"vh"}}if(x&&typeof x=="string"){if(x.endsWith("%")){var J=_/E.height*100;_=J+"%"}else if(x.endsWith("vw")){var ve=_/this.window.innerWidth*100;_=ve+"vw"}else if(x.endsWith("vh")){var xe=_/this.window.innerHeight*100;_=xe+"vh"}}var he={width:this.createSizeForCssProperty(L,"width"),height:this.createSizeForCssProperty(_,"height")};this.flexDir==="row"?he.flexBasis=he.width:this.flexDir==="column"&&(he.flexBasis=he.height),Au.exports.flushSync(function(){r.setState(he)}),this.props.onResize&&this.props.onResize(n,m,this.resizable,W)}},t.prototype.onMouseUp=function(n){var r=this.state,o=r.isResizing,i=r.direction,s=r.original;if(!(!o||!this.resizable)){var u={width:this.size.width-s.width,height:this.size.height-s.height};this.props.onResizeStop&&this.props.onResizeStop(n,i,this.resizable,u),this.props.size&&this.setState(this.props.size),this.unbindEvents(),this.setState({isResizing:!1,backgroundStyle:Xo(Xo({},this.state.backgroundStyle),{cursor:"auto"})})}},t.prototype.updateSize=function(n){this.setState({width:n.width,height:n.height})},t.prototype.renderResizer=function(){var n=this,r=this.props,o=r.enable,i=r.handleStyles,s=r.handleClasses,u=r.handleWrapperStyle,c=r.handleWrapperClass,f=r.handleComponent;if(!o)return null;var d=Object.keys(o).map(function(h){return o[h]!==!1?y(e0e,{direction:h,onResizeStart:n.onResizeStart,replaceStyles:i&&i[h],className:s&&s[h],children:f&&f[h]?f[h]:null},h):null});return y("div",{className:c,style:u,children:d})},t.prototype.render=function(){var n=this,r=Object.keys(this.props).reduce(function(s,u){return i0e.indexOf(u)!==-1||(s[u]=n.props[u]),s},{}),o=Xo(Xo(Xo({position:"relative",userSelect:this.state.isResizing?"none":"auto"},this.props.style),this.sizeStyle),{maxWidth:this.props.maxWidth,maxHeight:this.props.maxHeight,minWidth:this.props.minWidth,minHeight:this.props.minHeight,boxSizing:"border-box",flexShrink:0});this.state.flexBasis&&(o.flexBasis=this.state.flexBasis);var i=this.props.as||"div";return q(i,{...Xo({ref:this.ref,style:o,className:this.props.className},r),children:[this.state.isResizing&&y("div",{style:this.state.backgroundStyle}),this.props.children,this.renderResizer()]})},t.defaultProps={as:"div",onResizeStart:function(){},onResize:function(){},onResizeStop:function(){},enable:{top:!0,right:!0,bottom:!0,left:!0,topRight:!0,bottomRight:!0,bottomLeft:!0,topLeft:!0},style:{},grid:[1,1],lockAspectRatio:!1,lockAspectRatioExtraWidth:0,lockAspectRatioExtraHeight:0,scale:1,resizeRatio:1,snapGap:0},t}(C.exports.PureComponent);const s0e=Kn(e=>e.system,e=>e.log,{memoizeOptions:{resultEqualityCheck:(e,t)=>e.length===t.length}}),l0e=Kn(e=>e.system,e=>({shouldShowLogViewer:e.shouldShowLogViewer,hasError:e.hasError,wasErrorSeen:e.wasErrorSeen}),{memoizeOptions:{resultEqualityCheck:Zn.exports.isEqual}}),u0e=()=>{const e=Ue(),t=Le(s0e),{shouldShowLogViewer:n,hasError:r,wasErrorSeen:o}=Le(l0e),[i,s]=C.exports.useState(!0),u=C.exports.useRef(null);C.exports.useLayoutEffect(()=>{u.current!==null&&i&&(u.current.scrollTop=u.current.scrollHeight)},[i,t,n]);const c=()=>{e(QT()),e(Nfe(!n))};return q(fn,{children:[n&&y(a0e,{defaultSize:{width:"100%",height:200},style:{display:"flex",position:"fixed",left:0,bottom:0},maxHeight:"90vh",children:y("div",{className:"console",ref:u,children:t.map((f,d)=>{const{timestamp:h,message:m,level:g}=f;return q("div",{className:`console-entry console-${g}-color`,children:[q("p",{className:"console-timestamp",children:[h,":"]}),y("p",{className:"console-message",children:m})]},d)})})}),n&&y(Fr,{label:i?"Autoscroll On":"Autoscroll Off",children:y(Cn,{className:`console-autoscroll-icon-button ${i&&"autoscroll-enabled"}`,size:"sm","aria-label":"Toggle autoscroll",variant:"solid",icon:y(Npe,{}),onClick:()=>s(!i)})}),y(Fr,{label:n?"Hide Console":"Show Console",children:y(Cn,{className:`console-toggle-icon-button ${(r||!o)&&"error-seen"}`,size:"sm",position:"fixed",variant:"solid","aria-label":"Toggle Log Viewer",icon:n?y(Wpe,{}):y(Bpe,{}),onClick:c})})]})};function c0e(){async function e(n=""){return await fetch(n,{method:"GET",cache:"no-cache"})}const t=()=>{const n=document.location;e(n+"/flaskwebgui-keep-server-alive").then(o=>o)};(!{BASE_URL:"/",MODE:"production",DEV:!1,PROD:!0}.NODE_ENV||{BASE_URL:"/",MODE:"production",DEV:!1,PROD:!0}.NODE_ENV==="production")&&document.addEventListener("DOMContentLoaded",()=>{t(),setInterval(t,3e3)})}c0e();const f0e=()=>{const e=Ue(),[t,n]=C.exports.useState(!1);return C.exports.useEffect(()=>{e(Zde()),n(!0)},[e]),t?q("div",{className:"App",children:[y(H1e,{}),q("div",{className:"app-content",children:[y(X1e,{}),y(I1e,{})]}),y(u0e,{})]}):y(rM,{})};const oM=tfe(tM);G2.createRoot(document.getElementById("root")).render(y(Q.StrictMode,{children:y(Mce,{store:tM,children:y(nM,{loading:y(rM,{}),persistor:oM,children:q(gue,{theme:lC,children:[y(hV,{initialColorMode:lC.config.initialColorMode}),y(f0e,{})]})})})}));
diff --git a/frontend/dist/assets/logo.13003d72.png b/frontend/dist/assets/logo.13003d72.png
new file mode 100644
index 0000000000..54f8ed8a8f
Binary files /dev/null and b/frontend/dist/assets/logo.13003d72.png differ
diff --git a/frontend/dist/index.html b/frontend/dist/index.html
index 9f15549f7e..9c9cce54ac 100644
--- a/frontend/dist/index.html
+++ b/frontend/dist/index.html
@@ -1,14 +1,18 @@
 <!DOCTYPE html>
 <html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>InvokeAI Stable Diffusion Dream Server</title>
-    <script type="module" crossorigin src="/assets/index.1332a4e9.js"></script>
-    <link rel="stylesheet" href="/assets/index.447eb2a9.css">
-  </head>
-  <body>
-    <div id="root"></div>
-    
-  </body>
-</html>
+
+<head>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>InvokeAI - A Stable Diffusion Toolkit</title>
+  <link rel="shortcut icon" type="icon" href="/assets/favicon.0d253ced.ico" />
+  <script type="module" crossorigin src="/assets/index.dd3155db.js"></script>
+  <link rel="stylesheet" href="/assets/index.a0250964.css">
+</head>
+
+<body>
+  <div id="root"></div>
+  
+</body>
+
+</html>
\ No newline at end of file
diff --git a/frontend/favicon.ico b/frontend/favicon.ico
new file mode 100644
index 0000000000..413340efb2
Binary files /dev/null and b/frontend/favicon.ico differ
diff --git a/frontend/index.html b/frontend/index.html
index df66231735..b8776b3bfb 100644
--- a/frontend/index.html
+++ b/frontend/index.html
@@ -1,12 +1,16 @@
 <!DOCTYPE html>
 <html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>InvokeAI Stable Diffusion Dream Server</title>
-  </head>
-  <body>
-    <div id="root"></div>
-    <script type="module" src="/src/main.tsx"></script>
-  </body>
-</html>
+
+<head>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>InvokeAI - A Stable Diffusion Toolkit</title>
+  <link rel="shortcut icon" type="icon" href="favicon.ico" />
+</head>
+
+<body>
+  <div id="root"></div>
+  <script type="module" src="/src/main.tsx"></script>
+</body>
+
+</html>
\ No newline at end of file
diff --git a/frontend/package.json b/frontend/package.json
index fce53f625f..d255490e79 100644
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -19,12 +19,15 @@
     "dateformat": "^5.0.3",
     "framer-motion": "^7.2.1",
     "lodash": "^4.17.21",
+    "re-resizable": "^6.9.9",
     "react": "^18.2.0",
     "react-dom": "^18.2.0",
     "react-dropzone": "^14.2.2",
+    "react-hotkeys-hook": "^3.4.7",
     "react-icons": "^4.4.0",
     "react-redux": "^8.0.2",
     "redux-persist": "^6.0.0",
+    "socket.io": "^4.5.2",
     "socket.io-client": "^4.5.2",
     "uuid": "^9.0.0"
   },
@@ -38,6 +41,7 @@
     "eslint": "^8.23.0",
     "eslint-plugin-prettier": "^4.2.1",
     "eslint-plugin-react-hooks": "^4.6.0",
+    "sass": "^1.55.0",
     "tsc-watch": "^5.0.3",
     "typescript": "^4.6.4",
     "vite": "^3.0.7",
diff --git a/frontend/src/app/App.scss b/frontend/src/app/App.scss
new file mode 100644
index 0000000000..f9b1c9f54d
--- /dev/null
+++ b/frontend/src/app/App.scss
@@ -0,0 +1,17 @@
+@use '../styles/Mixins/' as *;
+
+.App {
+  display: grid;
+}
+
+.app-content {
+  display: grid;
+  row-gap: 1rem;
+  margin: 0.6rem;
+  padding: 1rem;
+  border-radius: 0.5rem;
+  background-color: var(--background-color);
+  grid-auto-rows: max-content;
+  width: $app-width;
+  height: $app-height;
+}
diff --git a/frontend/src/app/App.tsx b/frontend/src/app/App.tsx
index fb6ed1ee6d..18975e2ca9 100644
--- a/frontend/src/app/App.tsx
+++ b/frontend/src/app/App.tsx
@@ -1,16 +1,14 @@
-import { Grid, GridItem } from '@chakra-ui/react';
 import { useEffect, useState } from 'react';
-import CurrentImageDisplay from '../features/gallery/CurrentImageDisplay';
-import ImageGallery from '../features/gallery/ImageGallery';
 import ProgressBar from '../features/system/ProgressBar';
 import SiteHeader from '../features/system/SiteHeader';
-import OptionsAccordion from '../features/options/OptionsAccordion';
-import ProcessButtons from '../features/options/ProcessButtons';
-import PromptInput from '../features/options/PromptInput';
-import LogViewer from '../features/system/LogViewer';
+import Console from '../features/system/Console';
 import Loading from '../Loading';
 import { useAppDispatch } from './store';
 import { requestSystemConfig } from './socketio/actions';
+import { keepGUIAlive } from './utils';
+import InvokeTabs from '../features/tabs/InvokeTabs';
+
+keepGUIAlive();
 
 const App = () => {
   const dispatch = useAppDispatch();
@@ -22,43 +20,14 @@ const App = () => {
   }, [dispatch]);
 
   return isReady ? (
-    <>
-      <Grid
-        width="100vw"
-        height="100vh"
-        templateAreas={`
-                    "header header header header"
-                    "progressBar progressBar progressBar progressBar"
-                    "menu prompt processButtons imageRoll"
-                    "menu currentImage currentImage imageRoll"`}
-        gridTemplateRows={'36px 10px 100px auto'}
-        gridTemplateColumns={'350px auto 100px 388px'}
-        gap={2}
-      >
-        <GridItem area={'header'} pt={1}>
-          <SiteHeader />
-        </GridItem>
-        <GridItem area={'progressBar'}>
-          <ProgressBar />
-        </GridItem>
-        <GridItem pl="2" area={'menu'} overflowY="scroll">
-          <OptionsAccordion />
-        </GridItem>
-        <GridItem area={'prompt'}>
-          <PromptInput />
-        </GridItem>
-        <GridItem area={'processButtons'}>
-          <ProcessButtons />
-        </GridItem>
-        <GridItem area={'currentImage'}>
-          <CurrentImageDisplay />
-        </GridItem>
-        <GridItem pr="2" area={'imageRoll'} overflowY="scroll">
-          <ImageGallery />
-        </GridItem>
-      </Grid>
-      <LogViewer />
-    </>
+    <div className="App">
+      <ProgressBar />
+      <div className="app-content">
+        <SiteHeader />
+        <InvokeTabs />
+      </div>
+      <Console />
+    </div>
   ) : (
     <Loading />
   );
diff --git a/frontend/src/app/constants.ts b/frontend/src/app/constants.ts
index 3e12201c35..4ed38e52ee 100644
--- a/frontend/src/app/constants.ts
+++ b/frontend/src/app/constants.ts
@@ -15,13 +15,15 @@ export const SAMPLERS: Array<string> = [
 // Valid image widths
 export const WIDTHS: Array<number> = [
   64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960,
-  1024,
+  1024, 1088, 1152, 1216, 1280, 1344, 1408, 1472, 1536, 1600, 1664, 1728, 1792,
+  1856, 1920, 1984, 2048,
 ];
 
 // Valid image heights
 export const HEIGHTS: Array<number> = [
   64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960,
-  1024,
+  1024, 1088, 1152, 1216, 1280, 1344, 1408, 1472, 1536, 1600, 1664, 1728, 1792,
+  1856, 1920, 1984, 2048,
 ];
 
 // Valid upscaling levels
diff --git a/frontend/src/app/features.ts b/frontend/src/app/features.ts
index cb8455f09d..b8b6b4cf0d 100644
--- a/frontend/src/app/features.ts
+++ b/frontend/src/app/features.ts
@@ -7,12 +7,12 @@ type FeatureHelpInfo = {
 export enum Feature {
   PROMPT,
   GALLERY,
-  OUTPUT,
-  SEED_AND_VARIATION,
-  ESRGAN,
+  OTHER,
+  SEED,
+  VARIATIONS,
+  UPSCALE,
   FACE_CORRECTION,
   IMAGE_TO_IMAGE,
-  SAMPLER,
 }
 
 export const FEATURES: Record<Feature, FeatureHelpInfo> = {
@@ -26,18 +26,23 @@ export const FEATURES: Record<Feature, FeatureHelpInfo> = {
     href: 'link/to/docs/feature3.html',
     guideImage: 'asset/path.gif',
   },
-  [Feature.OUTPUT]: {
-    text: 'The Height and Width of generations can be controlled here. If you experience errors, you may be generating an image too large for your system. The seamless option will more often result in repeating patterns in outputs.',
+  [Feature.OTHER]: {
+    text: 'Additional Options',
     href: 'link/to/docs/feature3.html',
     guideImage: 'asset/path.gif',
   },
-  [Feature.SEED_AND_VARIATION]: {
-    text: 'Seed values provide an initial set of noise which guide the denoising process. Try a variation with an amount of between 0 and 1 to change the output image for that seed.',
+  [Feature.SEED]: {
+    text: 'Seed values provide an initial set of noise which guide the denoising process.',
     href: 'link/to/docs/feature3.html',
     guideImage: 'asset/path.gif',
   },
-  [Feature.ESRGAN]: {
-    text: 'The ESRGAN setting can be used to increase the output resolution without requiring a higher width/height in the initial generation.',
+  [Feature.VARIATIONS]: {
+    text: 'Try a variation with an amount of between 0 and 1 to change the output image for the set seed.',
+    href: 'link/to/docs/feature3.html',
+    guideImage: 'asset/path.gif',
+  },
+  [Feature.UPSCALE]: {
+    text: 'Using ESRGAN you can increase the output resolution without requiring a higher width/height in the initial generation.',
     href: 'link/to/docs/feature1.html',
     guideImage: 'asset/path.gif',
   },
@@ -51,9 +56,4 @@ export const FEATURES: Record<Feature, FeatureHelpInfo> = {
     href: 'link/to/docs/feature3.html',
     guideImage: 'asset/path.gif',
   },
-  [Feature.SAMPLER]: {
-    text: 'This setting allows for different denoising samplers to be used, as well as the number of denoising steps used, which will change the resulting output.',
-    href: 'link/to/docs/feature3.html',
-    guideImage: 'asset/path.gif',
-  },
 };
diff --git a/frontend/src/app/invokeai.d.ts b/frontend/src/app/invokeai.d.ts
index 9e1a4b1e57..90a5f35915 100644
--- a/frontend/src/app/invokeai.d.ts
+++ b/frontend/src/app/invokeai.d.ts
@@ -129,6 +129,7 @@ export declare type SystemStatus = {
   totalIterations: number;
   currentStatus: string;
   currentStatusHasSteps: boolean;
+  hasError: boolean;
 };
 
 export declare type SystemConfig = {
@@ -159,10 +160,8 @@ export declare type ErrorResponse = {
 };
 
 export declare type GalleryImagesResponse = {
-  images:  Array<Omit<Image, 'uuid'>>;
-  nextPage: number;
-  offset: number;
-  onlyNewImages: boolean;
+  images: Array<Omit<Image, 'uuid'>>;
+  areMoreImagesAvailable: boolean;
 };
 
 export declare type ImageUrlAndUuidResponse = {
diff --git a/frontend/src/app/socketio/emitters.ts b/frontend/src/app/socketio/emitters.ts
index 77b542c070..dc4671bd50 100644
--- a/frontend/src/app/socketio/emitters.ts
+++ b/frontend/src/app/socketio/emitters.ts
@@ -6,6 +6,7 @@ import {
   addLogEntry,
   setIsProcessing,
 } from '../../features/system/systemSlice';
+import { tabMap, tab_dict } from '../../features/tabs/InvokeTabs';
 import * as InvokeAI from '../invokeai';
 
 /**
@@ -23,8 +24,14 @@ const makeSocketIOEmitters = (
     emitGenerateImage: () => {
       dispatch(setIsProcessing(true));
 
+      const options = { ...getState().options };
+
+      if (tabMap[options.activeTab] === 'txt2img') {
+        options.shouldUseInitImage = false;
+      }
+
       const { generationParameters, esrganParameters, gfpganParameters } =
-        frontendToBackendParameters(getState().options, getState().system);
+        frontendToBackendParameters(options, getState().system);
 
       socketio.emit(
         'generateImage',
@@ -50,7 +57,10 @@ const makeSocketIOEmitters = (
       const esrganParameters = {
         upscale: [upscalingLevel, upscalingStrength],
       };
-      socketio.emit('runESRGAN', imageToProcess, esrganParameters);
+      socketio.emit('runPostprocessing', imageToProcess, {
+        type: 'esrgan',
+        ...esrganParameters,
+      });
       dispatch(
         addLogEntry({
           timestamp: dateFormat(new Date(), 'isoDateTime'),
@@ -68,7 +78,10 @@ const makeSocketIOEmitters = (
       const gfpganParameters = {
         gfpgan_strength: gfpganStrength,
       };
-      socketio.emit('runGFPGAN', imageToProcess, gfpganParameters);
+      socketio.emit('runPostprocessing', imageToProcess, {
+        type: 'gfpgan',
+        ...gfpganParameters,
+      });
       dispatch(
         addLogEntry({
           timestamp: dateFormat(new Date(), 'isoDateTime'),
@@ -84,16 +97,12 @@ const makeSocketIOEmitters = (
       socketio.emit('deleteImage', url, uuid);
     },
     emitRequestImages: () => {
-      const { nextPage, offset } = getState().gallery;
-      socketio.emit('requestImages', nextPage, offset);
+      const { earliest_mtime } = getState().gallery;
+      socketio.emit('requestImages', earliest_mtime);
     },
     emitRequestNewImages: () => {
-      const { nextPage, offset, images } = getState().gallery;
-      if (images.length > 0) {
-        socketio.emit('requestImages', nextPage, offset, images[0].mtime);
-      } else {
-        socketio.emit('requestImages', nextPage, offset);
-      }
+      const { latest_mtime } = getState().gallery;
+      socketio.emit('requestLatestImages', latest_mtime);
     },
     emitCancelProcessing: () => {
       socketio.emit('cancel');
diff --git a/frontend/src/app/socketio/listeners.ts b/frontend/src/app/socketio/listeners.ts
index 6d5dbdb924..fd725cf673 100644
--- a/frontend/src/app/socketio/listeners.ts
+++ b/frontend/src/app/socketio/listeners.ts
@@ -11,6 +11,8 @@ import {
   setSystemStatus,
   setCurrentStatus,
   setSystemConfig,
+  processingCanceled,
+  errorOccurred,
 } from '../../features/system/systemSlice';
 
 import {
@@ -25,7 +27,7 @@ import {
   setInitialImagePath,
   setMaskPath,
 } from '../../features/options/optionsSlice';
-import { requestNewImages } from './actions';
+import { requestImages, requestNewImages } from './actions';
 
 /**
  * Returns an object containing listener callbacks for socketio events.
@@ -44,7 +46,11 @@ const makeSocketIOListeners = (
       try {
         dispatch(setIsConnected(true));
         dispatch(setCurrentStatus('Connected'));
-        dispatch(requestNewImages());
+        if (getState().gallery.latest_mtime) {
+          dispatch(requestNewImages());
+        } else {
+          dispatch(requestImages());
+        }
       } catch (e) {
         console.error(e);
       }
@@ -90,7 +96,6 @@ const makeSocketIOListeners = (
             message: `Image generated: ${url}`,
           })
         );
-        dispatch(setIsProcessing(false));
       } catch (e) {
         console.error(e);
       }
@@ -116,7 +121,6 @@ const makeSocketIOListeners = (
             message: `Intermediate image generated: ${url}`,
           })
         );
-        dispatch(setIsProcessing(false));
       } catch (e) {
         console.error(e);
       }
@@ -124,7 +128,7 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive an 'esrganResult' event.
      */
-    onESRGANResult: (data: InvokeAI.ImageResultResponse) => {
+    onPostprocessingResult: (data: InvokeAI.ImageResultResponse) => {
       try {
         const { url, metadata, mtime } = data;
 
@@ -140,10 +144,9 @@ const makeSocketIOListeners = (
         dispatch(
           addLogEntry({
             timestamp: dateFormat(new Date(), 'isoDateTime'),
-            message: `Upscaled: ${url}`,
+            message: `Postprocessed: ${url}`,
           })
         );
-        dispatch(setIsProcessing(false));
       } catch (e) {
         console.error(e);
       }
@@ -204,7 +207,7 @@ const makeSocketIOListeners = (
             level: 'error',
           })
         );
-        dispatch(setIsProcessing(false));
+        dispatch(errorOccurred());
         dispatch(clearIntermediateImage());
       } catch (e) {
         console.error(e);
@@ -214,7 +217,7 @@ const makeSocketIOListeners = (
      * Callback to run when we receive a 'galleryImages' event.
      */
     onGalleryImages: (data: InvokeAI.GalleryImagesResponse) => {
-      const { images, nextPage, offset } = data;
+      const { images, areMoreImagesAvailable } = data;
 
       /**
        * the logic here ideally would be in the reducer but we have a side effect:
@@ -232,7 +235,9 @@ const makeSocketIOListeners = (
         };
       });
 
-      dispatch(addGalleryImages({ images: preparedImages, nextPage, offset }));
+      dispatch(
+        addGalleryImages({ images: preparedImages, areMoreImagesAvailable })
+      );
 
       dispatch(
         addLogEntry({
@@ -245,7 +250,7 @@ const makeSocketIOListeners = (
      * Callback to run when we receive a 'processingCanceled' event.
      */
     onProcessingCanceled: () => {
-      dispatch(setIsProcessing(false));
+      dispatch(processingCanceled());
 
       const { intermediateImage } = getState().gallery;
 
@@ -259,6 +264,7 @@ const makeSocketIOListeners = (
         );
         dispatch(clearIntermediateImage());
       }
+
       dispatch(
         addLogEntry({
           timestamp: dateFormat(new Date(), 'isoDateTime'),
@@ -273,6 +279,17 @@ const makeSocketIOListeners = (
     onImageDeleted: (data: InvokeAI.ImageUrlAndUuidResponse) => {
       const { url, uuid } = data;
       dispatch(removeImage(uuid));
+
+      const { initialImagePath, maskPath } = getState().options;
+
+      if (initialImagePath === url) {
+        dispatch(setInitialImagePath(''));
+      }
+
+      if (maskPath === url) {
+        dispatch(setMaskPath(''));
+      }
+
       dispatch(
         addLogEntry({
           timestamp: dateFormat(new Date(), 'isoDateTime'),
diff --git a/frontend/src/app/socketio/middleware.ts b/frontend/src/app/socketio/middleware.ts
index 1a7d87750d..1c2e11aff4 100644
--- a/frontend/src/app/socketio/middleware.ts
+++ b/frontend/src/app/socketio/middleware.ts
@@ -35,8 +35,7 @@ export const socketioMiddleware = () => {
       onConnect,
       onDisconnect,
       onError,
-      onESRGANResult,
-      onGFPGANResult,
+      onPostprocessingResult,
       onGenerationResult,
       onIntermediateResult,
       onProgressUpdate,
@@ -76,12 +75,9 @@ export const socketioMiddleware = () => {
         onGenerationResult(data)
       );
 
-      socketio.on('esrganResult', (data: InvokeAI.ImageResultResponse) =>
-        onESRGANResult(data)
-      );
-
-      socketio.on('gfpganResult', (data: InvokeAI.ImageResultResponse) =>
-        onGFPGANResult(data)
+      socketio.on(
+        'postprocessingResult',
+        (data: InvokeAI.ImageResultResponse) => onPostprocessingResult(data)
       );
 
       socketio.on('intermediateResult', (data: InvokeAI.ImageResultResponse) =>
@@ -153,7 +149,6 @@ export const socketioMiddleware = () => {
         break;
       }
 
-
       case 'socketio/cancelProcessing': {
         emitCancelProcessing();
         break;
diff --git a/frontend/src/app/store.ts b/frontend/src/app/store.ts
index e4c583ee53..0d41cbcc65 100644
--- a/frontend/src/app/store.ts
+++ b/frontend/src/app/store.ts
@@ -7,6 +7,7 @@ import storage from 'redux-persist/lib/storage'; // defaults to localStorage for
 
 import optionsReducer from '../features/options/optionsSlice';
 import galleryReducer from '../features/gallery/gallerySlice';
+
 import systemReducer from '../features/system/systemSlice';
 import { socketioMiddleware } from './socketio/middleware';
 
diff --git a/frontend/src/app/utils.ts b/frontend/src/app/utils.ts
new file mode 100644
index 0000000000..6bc959f2f7
--- /dev/null
+++ b/frontend/src/app/utils.ts
@@ -0,0 +1,25 @@
+export function keepGUIAlive() {
+  async function getRequest(url = '') {
+    const response = await fetch(url, {
+      method: 'GET',
+      cache: 'no-cache',
+    });
+    return response;
+  }
+
+  const keepAliveServer = () => {
+    const url = document.location;
+    const route = '/flaskwebgui-keep-server-alive';
+    getRequest(url + route).then((data) => {
+      return data;
+    });
+  };
+
+  if (!import.meta.env.NODE_ENV || import.meta.env.NODE_ENV === 'production') {
+    document.addEventListener('DOMContentLoaded', () => {
+      const intervalRequest = 3 * 1000;
+      keepAliveServer();
+      setInterval(keepAliveServer, intervalRequest);
+    });
+  }
+}
diff --git a/frontend/src/assets/fonts/Inter/Inter-Bold.ttf b/frontend/src/assets/fonts/Inter/Inter-Bold.ttf
new file mode 100644
index 0000000000..8e82c70d10
Binary files /dev/null and b/frontend/src/assets/fonts/Inter/Inter-Bold.ttf differ
diff --git a/frontend/src/assets/fonts/Inter/Inter.ttf b/frontend/src/assets/fonts/Inter/Inter.ttf
new file mode 100644
index 0000000000..ec3164efa8
Binary files /dev/null and b/frontend/src/assets/fonts/Inter/Inter.ttf differ
diff --git a/frontend/src/assets/images/image2img.png b/frontend/src/assets/images/image2img.png
new file mode 100644
index 0000000000..bacc938ea6
Binary files /dev/null and b/frontend/src/assets/images/image2img.png differ
diff --git a/frontend/src/assets/images/logo.png b/frontend/src/assets/images/logo.png
new file mode 100644
index 0000000000..54f8ed8a8f
Binary files /dev/null and b/frontend/src/assets/images/logo.png differ
diff --git a/frontend/src/common/components/GuidePopover.scss b/frontend/src/common/components/GuidePopover.scss
new file mode 100644
index 0000000000..faa31212bb
--- /dev/null
+++ b/frontend/src/common/components/GuidePopover.scss
@@ -0,0 +1,20 @@
+.guide-popover-arrow {
+  background-color: var(--tab-panel-bg) !important;
+  box-shadow: none !important;
+}
+
+.guide-popover-content {
+  background-color: var(--background-color-secondary) !important;
+  border: none !important;
+}
+
+.guide-popover-guide-content {
+  background: var(--tab-panel-bg);
+  border: 2px solid var(--tab-hover-color);
+  border-radius: 0.4rem;
+  padding: 0.75rem 1rem 0.75rem 1rem;
+  display: grid;
+  grid-template-rows: repeat(auto-fill, 1fr);
+  grid-row-gap: 0.5rem;
+  justify-content: space-between;
+}
diff --git a/frontend/src/common/components/GuidePopover.tsx b/frontend/src/common/components/GuidePopover.tsx
index 48a2f8d48f..2af5a0916b 100644
--- a/frontend/src/common/components/GuidePopover.tsx
+++ b/frontend/src/common/components/GuidePopover.tsx
@@ -3,8 +3,6 @@ import {
   PopoverArrow,
   PopoverContent,
   PopoverTrigger,
-  PopoverHeader,
-  Flex,
   Box,
 } from '@chakra-ui/react';
 import { SystemState } from '../../features/system/systemSlice';
@@ -12,7 +10,7 @@ import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import { createSelector } from '@reduxjs/toolkit';
 import { ReactElement } from 'react';
-import {  Feature, FEATURES } from '../../app/features';
+import { Feature, FEATURES } from '../../app/features';
 
 type GuideProps = {
   children: ReactElement;
@@ -33,14 +31,13 @@ const GuidePopover = ({ children, feature }: GuideProps) => {
         <Box>{children}</Box>
       </PopoverTrigger>
       <PopoverContent
+        className={`guide-popover-content`}
         maxWidth="400px"
         onClick={(e) => e.preventDefault()}
         cursor={'initial'}
       >
-        <PopoverArrow />
-        <Flex alignItems={'center'} gap={2} p={4}>
-          {text}
-        </Flex>
+        <PopoverArrow className="guide-popover-arrow" />
+        <div className="guide-popover-guide-content">{text}</div>
       </PopoverContent>
     </Popover>
   ) : (
diff --git a/frontend/src/common/components/IAIButton.tsx b/frontend/src/common/components/IAIButton.tsx
new file mode 100644
index 0000000000..84a4622e21
--- /dev/null
+++ b/frontend/src/common/components/IAIButton.tsx
@@ -0,0 +1,24 @@
+import { Button, ButtonProps, Tooltip } from '@chakra-ui/react';
+
+interface Props extends ButtonProps {
+  label: string;
+  tooltip?: string;
+}
+
+/**
+ * Reusable customized button component. Originally was more customized - now probably unecessary.
+ *
+ * TODO: Get rid of this.
+ */
+const IAIButton = (props: Props) => {
+  const { label, tooltip = '', size = 'sm', ...rest } = props;
+  return (
+    <Tooltip label={tooltip}>
+      <Button size={size} {...rest}>
+        {label}
+      </Button>
+    </Tooltip>
+  );
+};
+
+export default IAIButton;
diff --git a/frontend/src/common/components/IAIIconButton.tsx b/frontend/src/common/components/IAIIconButton.tsx
new file mode 100644
index 0000000000..9c5c7c5b8e
--- /dev/null
+++ b/frontend/src/common/components/IAIIconButton.tsx
@@ -0,0 +1,21 @@
+import { IconButtonProps, IconButton, Tooltip } from '@chakra-ui/react';
+
+interface Props extends IconButtonProps {
+  tooltip?: string;
+}
+
+/**
+ * Reusable customized button component. Originally was more customized - now probably unecessary.
+ *
+ * TODO: Get rid of this.
+ */
+const IAIIconButton = (props: Props) => {
+  const { tooltip = '', onClick, ...rest } = props;
+  return (
+    <Tooltip label={tooltip}>
+      <IconButton {...rest} cursor={onClick ? 'pointer' : 'unset'} onClick={onClick}/>
+    </Tooltip>
+  );
+};
+
+export default IAIIconButton;
diff --git a/frontend/src/common/components/IAIInput.scss b/frontend/src/common/components/IAIInput.scss
new file mode 100644
index 0000000000..43a48da36d
--- /dev/null
+++ b/frontend/src/common/components/IAIInput.scss
@@ -0,0 +1,34 @@
+.input {
+  display: grid;
+  grid-template-columns: max-content auto;
+  column-gap: 1rem;
+  align-items: center;
+
+  .input-label {
+    color: var(--text-color-secondary);
+    margin-right: 0;
+  }
+
+  .input-entry {
+    background-color: var(--background-color-secondary);
+    border: 2px solid var(--border-color);
+    border-radius: 0.2rem;
+    font-weight: bold;
+
+    &:focus {
+      outline: none;
+      border: 2px solid var(--prompt-border-color);
+      box-shadow: 0 0 10px 0 var(--prompt-box-shadow-color);
+    }
+
+    &:disabled {
+      opacity: 0.2;
+    }
+
+    &[aria-invalid='true'] {
+      outline: none;
+      border: 2px solid var(--border-color-invalid);
+      box-shadow: 0 0 10px 0 var(--box-shadow-color-invalid);
+    }
+  }
+}
diff --git a/frontend/src/common/components/IAIInput.tsx b/frontend/src/common/components/IAIInput.tsx
new file mode 100644
index 0000000000..20272d9274
--- /dev/null
+++ b/frontend/src/common/components/IAIInput.tsx
@@ -0,0 +1,41 @@
+import { FormControl, FormLabel, Input, InputProps } from '@chakra-ui/react';
+import { ChangeEvent } from 'react';
+
+interface IAIInputProps extends InputProps {
+  styleClass?: string;
+  label?: string;
+  width?: string | number;
+  value: string;
+  onChange: (e: ChangeEvent<HTMLInputElement>) => void;
+}
+
+export default function IAIInput(props: IAIInputProps) {
+  const {
+    label,
+    styleClass,
+    isDisabled = false,
+    fontSize = '1rem',
+    width,
+    isInvalid,
+    ...rest
+  } = props;
+
+  return (
+    <FormControl
+      className={`input ${styleClass}`}
+      isInvalid={isInvalid}
+      isDisabled={isDisabled}
+      flexGrow={1}
+    >
+      <FormLabel
+        fontSize={fontSize}
+        marginBottom={1}
+        whiteSpace="nowrap"
+        className="input-label"
+      >
+        {label}
+      </FormLabel>
+      <Input {...rest} className="input-entry" size={'sm'} width={width} />
+    </FormControl>
+  );
+}
diff --git a/frontend/src/common/components/IAINumberInput.scss b/frontend/src/common/components/IAINumberInput.scss
new file mode 100644
index 0000000000..648613d621
--- /dev/null
+++ b/frontend/src/common/components/IAINumberInput.scss
@@ -0,0 +1,52 @@
+.number-input {
+  display: grid;
+  grid-template-columns: max-content auto;
+  column-gap: 1rem;
+  align-items: center;
+
+  .number-input-label {
+    color: var(--text-color-secondary);
+    margin-right: 0;
+  }
+
+  .number-input-field {
+    display: grid;
+    grid-template-columns: auto max-content;
+    column-gap: 0.5rem;
+    align-items: center;
+    background-color: var(--background-color-secondary);
+    border: 2px solid var(--border-color);
+    border-radius: 0.2rem;
+  }
+
+  .number-input-entry {
+    border: none;
+    font-weight: bold;
+    width: 100%;
+    padding-inline-end: 0;
+
+    &:focus {
+      outline: none;
+      border: 2px solid var(--prompt-border-color);
+      box-shadow: 0 0 10px 0 var(--prompt-box-shadow-color);
+    }
+
+    &:disabled {
+      opacity: 0.2;
+    }
+  }
+
+  .number-input-stepper {
+    display: grid;
+    padding-right: 0.7rem;
+
+    svg {
+      width: 12px;
+      height: 12px;
+    }
+
+    .number-input-stepper-button {
+      border: none;
+    }
+  }
+}
diff --git a/frontend/src/common/components/IAINumberInput.tsx b/frontend/src/common/components/IAINumberInput.tsx
new file mode 100644
index 0000000000..d0bb6b0136
--- /dev/null
+++ b/frontend/src/common/components/IAINumberInput.tsx
@@ -0,0 +1,141 @@
+import {
+  FormControl,
+  NumberInput,
+  NumberInputField,
+  NumberIncrementStepper,
+  NumberDecrementStepper,
+  NumberInputProps,
+  FormLabel,
+} from '@chakra-ui/react';
+import _ from 'lodash';
+import { FocusEvent, useEffect, useState } from 'react';
+
+const numberStringRegex = /^-?(0\.)?\.?$/;
+
+interface Props extends Omit<NumberInputProps, 'onChange'> {
+  styleClass?: string;
+  label?: string;
+  width?: string | number;
+  showStepper?: boolean;
+  value: number;
+  onChange: (v: number) => void;
+  min: number;
+  max: number;
+  clamp?: boolean;
+  isInteger?: boolean;
+}
+
+/**
+ * Customized Chakra FormControl + NumberInput multi-part component.
+ */
+const IAINumberInput = (props: Props) => {
+  const {
+    label,
+    styleClass,
+    isDisabled = false,
+    showStepper = true,
+    fontSize = '1rem',
+    size = 'sm',
+    width,
+    textAlign,
+    isInvalid,
+    value,
+    onChange,
+    min,
+    max,
+    isInteger = true,
+    ...rest
+  } = props;
+
+  /**
+   * Using a controlled input with a value that accepts decimals needs special
+   * handling. If the user starts to type in "1.5", by the time they press the
+   * 5, the value has been parsed from "1." to "1" and they end up with "15".
+   *
+   * To resolve this, this component keeps a the value as a string internally,
+   * and the UI component uses that. When a change is made, that string is parsed
+   * as a number and given to the `onChange` function.
+   */
+
+  const [valueAsString, setValueAsString] = useState<string>(String(value));
+
+  /**
+   * When `value` changes (e.g. from a diff source than this component), we need
+   * to update the internal `valueAsString`, but only if the actual value is different
+   * from the current value.
+   */
+  useEffect(() => {
+    if (!valueAsString.match(numberStringRegex) && value !== Number(valueAsString)) {
+      setValueAsString(String(value));
+    }
+  }, [value, valueAsString]);
+
+  const handleOnChange = (v: string) => {
+    setValueAsString(v);
+    // This allows negatives and decimals e.g. '-123', `.5`, `-0.2`, etc.
+    if (!v.match(numberStringRegex)) {
+      // Cast the value to number. Floor it if it should be an integer.
+      onChange(isInteger ? Math.floor(Number(v)) : Number(v));
+    }
+  };
+
+  /**
+   * Clicking the steppers allows the value to go outside bounds; we need to
+   * clamp it on blur and floor it if needed.
+   */
+  const handleBlur = (e: FocusEvent<HTMLInputElement>) => {
+    const clamped = _.clamp(
+      isInteger ? Math.floor(Number(e.target.value)) : Number(e.target.value),
+      min,
+      max
+    );
+    setValueAsString(String(clamped));
+    onChange(clamped);
+  };
+
+  return (
+    <FormControl
+      isDisabled={isDisabled}
+      isInvalid={isInvalid}
+      className={`number-input ${styleClass}`}
+    >
+      {label && (
+        <FormLabel
+          fontSize={fontSize}
+          marginBottom={1}
+          flexGrow={2}
+          whiteSpace="nowrap"
+          className="number-input-label"
+        >
+          {label}
+        </FormLabel>
+      )}
+      <NumberInput
+        size={size}
+        {...rest}
+        className="number-input-field"
+        value={valueAsString}
+        keepWithinRange={true}
+        clampValueOnBlur={false}
+        onChange={handleOnChange}
+        onBlur={handleBlur}
+      >
+        <NumberInputField
+          fontSize={fontSize}
+          className="number-input-entry"
+          width={width}
+          textAlign={textAlign}
+        />
+        <div
+          className="number-input-stepper"
+          style={showStepper ? { display: 'block' } : { display: 'none' }}
+        >
+          <NumberIncrementStepper className="number-input-stepper-button" />
+          <NumberDecrementStepper className="number-input-stepper-button" />
+        </div>
+      </NumberInput>
+    </FormControl>
+  );
+};
+
+export default IAINumberInput;
diff --git a/frontend/src/common/components/IAISelect.scss b/frontend/src/common/components/IAISelect.scss
new file mode 100644
index 0000000000..112de864e8
--- /dev/null
+++ b/frontend/src/common/components/IAISelect.scss
@@ -0,0 +1,28 @@
+.iai-select {
+  display: grid;
+  grid-template-columns: repeat(2, max-content);
+  column-gap: 1rem;
+  align-items: center;
+  width: max-content;
+
+  .iai-select-label {
+    color: var(--text-color-secondary);
+    margin-right: 0;
+  }
+
+  .iai-select-picker {
+    border: 2px solid var(--border-color);
+    background-color: var(--background-color-secondary);
+    font-weight: bold;
+
+    &:focus {
+      outline: none;
+      border: 2px solid var(--prompt-border-color);
+      box-shadow: 0 0 10px 0 var(--prompt-box-shadow-color);
+    }
+  }
+
+  .iai-select-option {
+    background-color: var(--background-color-secondary);
+  }
+}
diff --git a/frontend/src/common/components/IAISelect.tsx b/frontend/src/common/components/IAISelect.tsx
new file mode 100644
index 0000000000..4079facb76
--- /dev/null
+++ b/frontend/src/common/components/IAISelect.tsx
@@ -0,0 +1,56 @@
+import { FormControl, FormLabel, Select, SelectProps } from '@chakra-ui/react';
+
+interface Props extends SelectProps {
+  label: string;
+  styleClass?: string;
+  validValues:
+    | Array<number | string>
+    | Array<{ key: string; value: string | number }>;
+}
+/**
+ * Customized Chakra FormControl + Select multi-part component.
+ */
+const IAISelect = (props: Props) => {
+  const {
+    label,
+    isDisabled,
+    validValues,
+    size = 'sm',
+    fontSize = 'md',
+    styleClass,
+    ...rest
+  } = props;
+  return (
+    <FormControl isDisabled={isDisabled} className={`iai-select ${styleClass}`}>
+      <FormLabel
+        fontSize={fontSize}
+        marginBottom={1}
+        flexGrow={2}
+        whiteSpace="nowrap"
+        className="iai-select-label"
+      >
+        {label}
+      </FormLabel>
+      <Select
+        fontSize={fontSize}
+        size={size}
+        {...rest}
+        className="iai-select-picker"
+      >
+        {validValues.map((opt) => {
+          return typeof opt === 'string' || typeof opt === 'number' ? (
+            <option key={opt} value={opt} className="iai-select-option">
+              {opt}
+            </option>
+          ) : (
+            <option key={opt.value} value={opt.value}>
+              {opt.key}
+            </option>
+          );
+        })}
+      </Select>
+    </FormControl>
+  );
+};
+
+export default IAISelect;
diff --git a/frontend/src/common/components/IAISwitch.scss b/frontend/src/common/components/IAISwitch.scss
new file mode 100644
index 0000000000..7ff1921ee1
--- /dev/null
+++ b/frontend/src/common/components/IAISwitch.scss
@@ -0,0 +1,18 @@
+.chakra-switch,
+.switch-button {
+  span {
+    background-color: var(--switch-bg-color);
+
+    span {
+      background-color: var(--white);
+    }
+  }
+
+  span[data-checked] {
+    background: var(--switch-bg-active-color);
+
+    span {
+      background-color: var(--white);
+    }
+  }
+}
diff --git a/frontend/src/common/components/SDSwitch.tsx b/frontend/src/common/components/IAISwitch.tsx
similarity index 83%
rename from frontend/src/common/components/SDSwitch.tsx
rename to frontend/src/common/components/IAISwitch.tsx
index 32c106041e..19eb57b34e 100644
--- a/frontend/src/common/components/SDSwitch.tsx
+++ b/frontend/src/common/components/IAISwitch.tsx
@@ -14,13 +14,13 @@ interface Props extends SwitchProps {
 /**
  * Customized Chakra FormControl + Switch multi-part component.
  */
-const SDSwitch = (props: Props) => {
+const IAISwitch = (props: Props) => {
   const {
     label,
     isDisabled = false,
     fontSize = 'md',
     size = 'md',
-    width,
+    width = 'auto',
     ...rest
   } = props;
   return (
@@ -36,10 +36,10 @@ const SDSwitch = (props: Props) => {
             {label}
           </FormLabel>
         )}
-        <Switch size={size} {...rest} />
+        <Switch size={size} className="switch-button" {...rest} />
       </Flex>
     </FormControl>
   );
 };
 
-export default SDSwitch;
+export default IAISwitch;
diff --git a/frontend/src/common/components/InvokeImageUploader.tsx b/frontend/src/common/components/InvokeImageUploader.tsx
new file mode 100644
index 0000000000..08f54420e3
--- /dev/null
+++ b/frontend/src/common/components/InvokeImageUploader.tsx
@@ -0,0 +1,65 @@
+import { Button, useToast } from '@chakra-ui/react';
+import React, { useCallback } from 'react';
+import { FileRejection } from 'react-dropzone';
+import { useAppDispatch } from '../../app/store';
+import ImageUploader from '../../features/options/ImageUploader';
+
+interface InvokeImageUploaderProps {
+  label?: string;
+  icon?: any;
+  onMouseOver?: any;
+  OnMouseout?: any;
+  dispatcher: any;
+  styleClass?: string;
+}
+
+export default function InvokeImageUploader(props: InvokeImageUploaderProps) {
+  const { label, icon, dispatcher, styleClass, onMouseOver, OnMouseout } =
+    props;
+
+  const toast = useToast();
+  const dispatch = useAppDispatch();
+
+  // Callbacks to for handling file upload attempts
+  const fileAcceptedCallback = useCallback(
+    (file: File) => dispatch(dispatcher(file)),
+    [dispatch, dispatcher]
+  );
+
+  const fileRejectionCallback = useCallback(
+    (rejection: FileRejection) => {
+      const msg = rejection.errors.reduce(
+        (acc: string, cur: { message: string }) => acc + '\n' + cur.message,
+        ''
+      );
+
+      toast({
+        title: 'Upload failed',
+        description: msg,
+        status: 'error',
+        isClosable: true,
+      });
+    },
+    [toast]
+  );
+
+  return (
+    <ImageUploader
+      fileAcceptedCallback={fileAcceptedCallback}
+      fileRejectionCallback={fileRejectionCallback}
+      styleClass={styleClass}
+    >
+      <Button
+        size={'sm'}
+        fontSize={'md'}
+        fontWeight={'normal'}
+        onMouseOver={onMouseOver}
+        onMouseOut={OnMouseout}
+        leftIcon={icon}
+        width={'100%'}
+      >
+        {label ? label : null}
+      </Button>
+    </ImageUploader>
+  );
+}
diff --git a/frontend/src/common/components/SDButton.tsx b/frontend/src/common/components/SDButton.tsx
deleted file mode 100644
index 1107166923..0000000000
--- a/frontend/src/common/components/SDButton.tsx
+++ /dev/null
@@ -1,21 +0,0 @@
-import { Button, ButtonProps } from '@chakra-ui/react';
-
-interface Props extends ButtonProps {
-  label: string;
-}
-
-/**
- * Reusable customized button component. Originally was more customized - now probably unecessary.
- *
- * TODO: Get rid of this.
- */
-const SDButton = (props: Props) => {
-  const { label, size = 'sm', ...rest } = props;
-  return (
-    <Button size={size} {...rest}>
-      {label}
-    </Button>
-  );
-};
-
-export default SDButton;
diff --git a/frontend/src/common/components/SDNumberInput.tsx b/frontend/src/common/components/SDNumberInput.tsx
deleted file mode 100644
index d293e109ca..0000000000
--- a/frontend/src/common/components/SDNumberInput.tsx
+++ /dev/null
@@ -1,59 +0,0 @@
-import {
-  FormControl,
-  NumberInput,
-  NumberInputField,
-  NumberInputStepper,
-  NumberIncrementStepper,
-  NumberDecrementStepper,
-  Text,
-  FormLabel,
-  NumberInputProps,
-  Flex,
-} from '@chakra-ui/react';
-
-interface Props extends NumberInputProps {
-  label?: string;
-  width?: string | number;
-}
-
-/**
- * Customized Chakra FormControl + NumberInput multi-part component.
- */
-const SDNumberInput = (props: Props) => {
-  const {
-    label,
-    isDisabled = false,
-    fontSize = 'md',
-    size = 'sm',
-    width,
-    isInvalid,
-    ...rest
-  } = props;
-  return (
-    <FormControl isDisabled={isDisabled} width={width} isInvalid={isInvalid}>
-      <Flex gap={2} justifyContent={'space-between'} alignItems={'center'}>
-        {label && (
-          <FormLabel marginBottom={1}>
-            <Text fontSize={fontSize} whiteSpace="nowrap">
-              {label}
-            </Text>
-          </FormLabel>
-        )}
-        <NumberInput
-          size={size}
-          {...rest}
-          keepWithinRange={false}
-          clampValueOnBlur={true}
-        >
-          <NumberInputField fontSize={'md'} />
-          <NumberInputStepper>
-            <NumberIncrementStepper />
-            <NumberDecrementStepper />
-          </NumberInputStepper>
-        </NumberInput>
-      </Flex>
-    </FormControl>
-  );
-};
-
-export default SDNumberInput;
diff --git a/frontend/src/common/components/SDSelect.tsx b/frontend/src/common/components/SDSelect.tsx
deleted file mode 100644
index 09f7c0f040..0000000000
--- a/frontend/src/common/components/SDSelect.tsx
+++ /dev/null
@@ -1,56 +0,0 @@
-import {
-  Flex,
-  FormControl,
-  FormLabel,
-  Select,
-  SelectProps,
-  Text,
-} from '@chakra-ui/react';
-
-interface Props extends SelectProps {
-  label: string;
-  validValues:
-    | Array<number | string>
-    | Array<{ key: string; value: string | number }>;
-}
-/**
- * Customized Chakra FormControl + Select multi-part component.
- */
-const SDSelect = (props: Props) => {
-  const {
-    label,
-    isDisabled,
-    validValues,
-    size = 'sm',
-    fontSize = 'md',
-    marginBottom = 1,
-    whiteSpace = 'nowrap',
-    ...rest
-  } = props;
-  return (
-    <FormControl isDisabled={isDisabled}>
-      <Flex justifyContent={'space-between'} alignItems={'center'}>
-        <FormLabel marginBottom={marginBottom}>
-          <Text fontSize={fontSize} whiteSpace={whiteSpace}>
-            {label}
-          </Text>
-        </FormLabel>
-        <Select fontSize={fontSize} size={size} {...rest}>
-          {validValues.map((opt) => {
-            return typeof opt === 'string' || typeof opt === 'number' ? (
-              <option key={opt} value={opt}>
-                {opt}
-              </option>
-            ) : (
-              <option key={opt.value} value={opt.value}>
-                {opt.key}
-              </option>
-            );
-          })}
-        </Select>
-      </Flex>
-    </FormControl>
-  );
-};
-
-export default SDSelect;
diff --git a/frontend/src/common/components/WorkInProgress/ImageToImageWIP.tsx b/frontend/src/common/components/WorkInProgress/ImageToImageWIP.tsx
new file mode 100644
index 0000000000..20686087a0
--- /dev/null
+++ b/frontend/src/common/components/WorkInProgress/ImageToImageWIP.tsx
@@ -0,0 +1,16 @@
+import React from 'react';
+import Img2ImgPlaceHolder from '../../../assets/images/image2img.png';
+
+export const ImageToImageWIP = () => {
+  return (
+    <div className="work-in-progress txt2img-work-in-progress">
+      <img src={Img2ImgPlaceHolder} alt="img2img_placeholder" />
+      <h1>Image To Image</h1>
+      <p>
+        Image to Image is already available in the WebUI. You can access it from
+        the Text to Image - Advanced Options menu. A dedicated UI for Image To
+        Image will be released soon.
+      </p>
+    </div>
+  );
+};
diff --git a/frontend/src/common/components/WorkInProgress/InpaintingWIP.tsx b/frontend/src/common/components/WorkInProgress/InpaintingWIP.tsx
new file mode 100644
index 0000000000..1c029aa829
--- /dev/null
+++ b/frontend/src/common/components/WorkInProgress/InpaintingWIP.tsx
@@ -0,0 +1,14 @@
+import React from 'react';
+
+export default function InpaintingWIP() {
+  return (
+    <div className="work-in-progress inpainting-work-in-progress">
+      <h1>Inpainting</h1>
+      <p>
+        Inpainting is available as a part of the Invoke AI Command Line
+        Interface. A dedicated WebUI interface will be released in the near
+        future.
+      </p>
+    </div>
+  );
+}
diff --git a/frontend/src/common/components/WorkInProgress/NodesWIP.tsx b/frontend/src/common/components/WorkInProgress/NodesWIP.tsx
new file mode 100644
index 0000000000..a09d3ccf22
--- /dev/null
+++ b/frontend/src/common/components/WorkInProgress/NodesWIP.tsx
@@ -0,0 +1,13 @@
+import React from 'react';
+
+export default function NodesWIP() {
+  return (
+    <div className="work-in-progress nodes-work-in-progress">
+      <h1>Nodes</h1>
+      <p>
+        A node based system for the generation of images is under development
+        currently. Stay tuned for updates about this amazing feature.
+      </p>
+    </div>
+  );
+}
diff --git a/frontend/src/common/components/WorkInProgress/OutpaintingWIP.tsx b/frontend/src/common/components/WorkInProgress/OutpaintingWIP.tsx
new file mode 100644
index 0000000000..fb913a40f7
--- /dev/null
+++ b/frontend/src/common/components/WorkInProgress/OutpaintingWIP.tsx
@@ -0,0 +1,14 @@
+import React from 'react';
+
+export default function OutpaintingWIP() {
+  return (
+    <div className="work-in-progress outpainting-work-in-progress">
+      <h1>Outpainting</h1>
+      <p>
+        Outpainting is available as a part of the Invoke AI Command Line
+        Interface. A dedicated WebUI interface will be released in the near
+        future.
+      </p>
+    </div>
+  );
+}
diff --git a/frontend/src/common/components/WorkInProgress/PostProcessingWIP.tsx b/frontend/src/common/components/WorkInProgress/PostProcessingWIP.tsx
new file mode 100644
index 0000000000..8ca3781eee
--- /dev/null
+++ b/frontend/src/common/components/WorkInProgress/PostProcessingWIP.tsx
@@ -0,0 +1,19 @@
+import React from 'react';
+
+export const PostProcessingWIP = () => {
+  return (
+    <div className="work-in-progress post-processing-work-in-progress">
+      <h1>Post Processing</h1>
+      <p>
+        Invoke AI offers a wide variety of post processing features. Image
+        Upscaling and Face Restoration are already available in the WebUI. You
+        can access them from the Advanced Options menu of the Text To Image tab.
+        A dedicated UI will be released soon.
+      </p>
+      <p>
+        The Invoke AI Command Line Interface offers various other features
+        including Embiggen, High Resolution Fixing and more.
+      </p>
+    </div>
+  );
+};
diff --git a/frontend/src/common/components/WorkInProgress/WorkInProgress.scss b/frontend/src/common/components/WorkInProgress/WorkInProgress.scss
new file mode 100644
index 0000000000..2a17c7bd0a
--- /dev/null
+++ b/frontend/src/common/components/WorkInProgress/WorkInProgress.scss
@@ -0,0 +1,24 @@
+@use '../../../styles/Mixins/' as *;
+
+.work-in-progress {
+  display: grid;
+  width: 100%;
+  height: $app-content-height;
+  grid-auto-rows: max-content;
+  background-color: var(--background-color-secondary);
+  border-radius: 0.4rem;
+  place-content: center;
+  place-items: center;
+  row-gap: 1rem;
+
+  h1 {
+    font-size: 2rem;
+    font-weight: bold;
+  }
+
+  p {
+    text-align: center;
+    max-width: 50rem;
+    color: var(--subtext-color-bright);
+  }
+}
diff --git a/frontend/src/common/hooks/useCheckParameters.ts b/frontend/src/common/hooks/useCheckParameters.ts
index 7bc87dd0af..3ffab8353d 100644
--- a/frontend/src/common/hooks/useCheckParameters.ts
+++ b/frontend/src/common/hooks/useCheckParameters.ts
@@ -4,10 +4,11 @@ import { useMemo } from 'react';
 import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import { OptionsState } from '../../features/options/optionsSlice';
+
 import { SystemState } from '../../features/system/systemSlice';
 import { validateSeedWeights } from '../util/seedWeightPairs';
 
-const optionsSelector = createSelector(
+export const optionsSelector = createSelector(
   (state: RootState) => state.options,
   (options: OptionsState) => {
     return {
@@ -17,6 +18,7 @@ const optionsSelector = createSelector(
       maskPath: options.maskPath,
       initialImagePath: options.initialImagePath,
       seed: options.seed,
+      activeTab: options.activeTab,
     };
   },
   {
@@ -26,7 +28,7 @@ const optionsSelector = createSelector(
   }
 );
 
-const systemSelector = createSelector(
+export const systemSelector = createSelector(
   (state: RootState) => state.system,
   (system: SystemState) => {
     return {
@@ -46,20 +48,26 @@ const systemSelector = createSelector(
  * This is used to prevent the 'Generate' button from being clicked.
  */
 const useCheckParameters = (): boolean => {
+  const { prompt } = useAppSelector(optionsSelector);
+
   const {
-    prompt,
     shouldGenerateVariations,
     seedWeights,
     maskPath,
     initialImagePath,
     seed,
+    activeTab,
   } = useAppSelector(optionsSelector);
 
   const { isProcessing, isConnected } = useAppSelector(systemSelector);
 
   return useMemo(() => {
     // Cannot generate without a prompt
-    if (!prompt) {
+    if (!prompt || Boolean(prompt.match(/^[\s\r\n]+$/))) {
+      return false;
+    }
+
+    if (prompt && !initialImagePath && activeTab === 1) {
       return false;
     }
 
diff --git a/frontend/src/common/icons/ImageToImageIcon.tsx b/frontend/src/common/icons/ImageToImageIcon.tsx
new file mode 100644
index 0000000000..3c4ad0892a
--- /dev/null
+++ b/frontend/src/common/icons/ImageToImageIcon.tsx
@@ -0,0 +1,17 @@
+import { createIcon } from "@chakra-ui/react";
+
+const ImageToImageIcon = createIcon({
+  displayName: 'ImageToImageIcon',
+  viewBox: '0 0 3543 3543',
+  path: (
+    <g transform="matrix(1.10943,0,0,1.10943,-206.981,-213.533)">
+      <path
+        fill="currentColor"
+        fillRule="evenodd"
+        clipRule="evenodd"
+        d="M688.533,2405.95L542.987,2405.95C349.532,2405.95 192.47,2248.89 192.47,2055.44L192.47,542.987C192.47,349.532 349.532,192.47 542.987,192.47L2527.88,192.47C2721.33,192.47 2878.4,349.532 2878.4,542.987L2878.4,1172.79L3023.94,1172.79C3217.4,1172.79 3374.46,1329.85 3374.46,1523.3C3374.46,1523.3 3374.46,3035.75 3374.46,3035.75C3374.46,3229.21 3217.4,3386.27 3023.94,3386.27L1039.05,3386.27C845.595,3386.27 688.533,3229.21 688.533,3035.75L688.533,2405.95ZM3286.96,2634.37L3286.96,1523.3C3286.96,1378.14 3169.11,1260.29 3023.94,1260.29C3023.94,1260.29 1039.05,1260.29 1039.05,1260.29C893.887,1260.29 776.033,1378.14 776.033,1523.3L776.033,2489.79L1440.94,1736.22L2385.83,2775.59L2880.71,2200.41L3286.96,2634.37ZM2622.05,1405.51C2778.5,1405.51 2905.51,1532.53 2905.51,1688.98C2905.51,1845.42 2778.5,1972.44 2622.05,1972.44C2465.6,1972.44 2338.58,1845.42 2338.58,1688.98C2338.58,1532.53 2465.6,1405.51 2622.05,1405.51ZM2790.9,1172.79L1323.86,1172.79L944.882,755.906L279.97,1509.47L279.97,542.987C279.97,397.824 397.824,279.97 542.987,279.97C542.987,279.97 2527.88,279.97 2527.88,279.97C2673.04,279.97 2790.9,397.824 2790.9,542.987L2790.9,1172.79ZM2125.98,425.197C2282.43,425.197 2409.45,552.213 2409.45,708.661C2409.45,865.11 2282.43,992.126 2125.98,992.126C1969.54,992.126 1842.52,865.11 1842.52,708.661C1842.52,552.213 1969.54,425.197 2125.98,425.197Z"
+      />
+    </g>
+  ),
+});
+export default ImageToImageIcon;
diff --git a/frontend/src/common/icons/InpaintIcon.tsx b/frontend/src/common/icons/InpaintIcon.tsx
new file mode 100644
index 0000000000..4f412e96bb
--- /dev/null
+++ b/frontend/src/common/icons/InpaintIcon.tsx
@@ -0,0 +1,16 @@
+import { createIcon } from '@chakra-ui/react';
+
+const InpaintIcon = createIcon({
+  displayName: 'InpaintIcon',
+  viewBox: '0 0 3543 3543',
+  path: (
+    <path
+      fill="currentColor"
+      fillRule="evenodd"
+      clipRule="evenodd"
+      d="M3543.31,768.593C3543.31,517.323 3339.31,313.324 3088.04,313.324L455.269,313.324C203.999,313.324 0,517.323 0,768.593C0,768.593 0,2774.71 0,2774.71C0,3025.98 203.999,3229.98 455.269,3229.98L3088.04,3229.98C3339.31,3229.98 3543.31,3025.98 3543.31,2774.71C3543.31,2774.71 3543.31,768.593 3543.31,768.593ZM3446.56,2252.63L3446.56,768.593C3446.56,570.718 3285.91,410.068 3088.04,410.068C3088.04,410.068 455.269,410.068 455.269,410.068C257.394,410.068 96.745,570.718 96.745,768.593L96.745,2061.49L988.344,1051.01L1326.63,1423.12C1281.74,1438.3 1227.39,1454.93 1158.26,1480.89C995.738,1541.9 944.356,1613.28 911.834,1718.7C884.979,1805.76 875.814,1922.93 811.322,2093.5C763.918,2218.87 765.18,2304.83 790.606,2364.87C817.014,2427.22 869.858,2467.73 941.71,2493.83C1023.86,2523.67 1134.43,2534.25 1242.45,2557.97C1365.72,2585.04 1455.23,2643.2 1532.76,2665.96C1587.03,2681.89 1637.04,2683.6 1686.56,2663.56C1731.54,2645.36 1777.95,2607.64 1825.43,2535.92C1874.9,2461.2 1979.98,2369.94 2102.8,2276.91L2241.64,2429.63L2739.91,1850.53C2754.47,1841.35 2767.47,1833.12 2778.66,1825.94C2832.6,1791.35 2866.82,1742.41 2884.38,1682.61L2898.06,1666.72L3446.56,2252.63ZM1680.71,2559.9C1666.7,2570.37 1652.86,2577.22 1638.81,2580.95L1610.62,2588.45L1625.61,2644.82L1653.8,2637.33C1674.48,2631.83 1695.02,2622.04 1715.64,2606.61L1739,2589.14L1704.06,2542.43L1680.71,2559.9ZM1541.62,2570.42C1524.94,2564.58 1507.63,2557.37 1489.49,2549.48L1462.75,2537.84L1439.48,2591.33L1466.22,2602.97C1485.74,2611.46 1504.38,2619.18 1522.33,2625.47L1549.86,2635.12L1569.15,2580.07L1541.62,2570.42ZM1381.21,2503.1C1363.08,2496.04 1344.17,2489.24 1324.38,2483.03L1296.55,2474.29L1279.07,2529.94L1306.9,2538.68C1325.41,2544.49 1343.09,2550.86 1360.05,2557.46L1387.23,2568.04L1408.39,2513.68L1381.21,2503.1ZM1788.46,2430.83C1773.91,2447.61 1761.19,2463.86 1750.55,2479.44L1734.09,2503.52L1782.25,2536.43L1798.71,2512.35C1808.2,2498.46 1819.56,2484 1832.53,2469.04L1851.64,2447.01L1807.57,2408.79L1788.46,2430.83ZM1262.54,2466.49C1243.17,2462.24 1223.71,2458.43 1204.35,2454.87L1175.67,2449.6L1165.12,2506.97L1193.81,2512.24C1212.52,2515.68 1231.32,2519.35 1250.03,2523.46L1278.52,2529.72L1291.03,2472.74L1262.54,2466.49ZM1089.5,2434.66C1070.28,2431.1 1051.6,2427.35 1033.72,2423.15L1005.32,2416.49L992.002,2473.28L1020.4,2479.94C1039.14,2484.34 1058.71,2488.28 1078.86,2492.02L1107.54,2497.34L1118.18,2439.99L1089.5,2434.66ZM932.182,2386.94C917.545,2378.53 904.788,2368.71 894.532,2356.8L875.504,2334.69L831.294,2372.75L850.322,2394.85C864.755,2411.62 882.513,2425.67 903.11,2437.51L928.396,2452.05L957.469,2401.48L932.182,2386.94ZM1917.04,2306.1C1901.59,2319.37 1886.77,2332.5 1872.67,2345.44L1851.18,2365.17L1890.64,2408.14L1912.12,2388.41C1925.76,2375.89 1940.1,2363.19 1955.04,2350.36L1977.17,2331.36L1939.17,2287.1L1917.04,2306.1ZM866.485,2267.79C866.715,2251.85 868.706,2234.39 872.54,2215.21L878.257,2186.61L821.055,2175.17L815.338,2203.77C810.733,2226.81 808.434,2247.8 808.158,2266.94L807.737,2296.11L866.064,2296.95L866.485,2267.79ZM2055.08,2195.63C2039.24,2207.6 2023.66,2219.55 2008.43,2231.46L1985.45,2249.43L2021.38,2295.38L2044.36,2277.42C2059.34,2265.7 2074.66,2253.95 2090.23,2242.18L2113.51,2224.61L2078.35,2178.06L2055.08,2195.63ZM2197.62,2092.3C2181.57,2103.52 2165.6,2114.82 2149.74,2126.16L2126.02,2143.12L2159.95,2190.57L2183.67,2173.61C2199.36,2162.38 2215.18,2151.21 2231.05,2140.1L2254.95,2123.38L2221.52,2075.58L2197.62,2092.3ZM905.788,2108.14C912.858,2088.7 919.236,2069.96 925.03,2051.88L933.93,2024.1L878.378,2006.3L869.478,2034.08C863.905,2051.47 857.769,2069.5 850.968,2088.2L840.998,2115.61L895.817,2135.55L905.788,2108.14ZM2342.87,1993.45C2326.76,2004.15 2310.52,2015.01 2294.22,2026L2270.04,2042.31L2302.65,2090.67L2326.83,2074.37C2343.01,2063.45 2359.14,2052.67 2375.14,2042.04L2399.44,2025.91L2367.17,1977.31L2342.87,1993.45ZM2489.92,1897.67C2473.88,1907.94 2457.46,1918.5 2440.74,1929.32L2416.26,1945.16L2447.95,1994.14L2472.44,1978.29C2489.07,1967.53 2505.41,1957.02 2521.37,1946.8L2545.93,1931.07L2514.48,1881.94L2489.92,1897.67ZM956.972,1937.49C961.849,1917.31 966.133,1898.15 970.079,1879.93L976.253,1851.43L919.241,1839.08L913.067,1867.59C909.215,1885.38 905.033,1904.08 900.271,1923.79L893.42,1952.13L950.121,1965.84L956.972,1937.49ZM2638.01,1803.95C2622.5,1813.69 2605.98,1824.08 2588.59,1835.04L2563.91,1850.59L2595.02,1899.94L2619.69,1884.38C2637.05,1873.44 2653.55,1863.08 2669.03,1853.35L2693.73,1837.84L2662.71,1788.44L2638.01,1803.95ZM2769.59,1708.14C2760.26,1721.07 2748.81,1732.54 2735.03,1742.4L2711.31,1759.37L2745.25,1806.81L2768.97,1789.84C2788.08,1776.17 2803.93,1760.22 2816.88,1742.3L2833.95,1718.65L2786.67,1684.5L2769.59,1708.14ZM995.304,1767.43C1000.24,1748.86 1005.64,1731.66 1012.23,1715.62L1023.31,1688.64L969.359,1666.47L958.273,1693.45C950.767,1711.72 944.551,1731.29 938.928,1752.44L931.436,1780.63L987.812,1795.62L995.304,1767.43ZM1071.42,1633.09C1083.85,1622.63 1098.26,1612.75 1115.07,1603.23L1140.45,1588.86L1111.71,1538.1L1086.33,1552.47C1066.11,1563.92 1048.82,1575.88 1033.86,1588.46L1011.55,1607.24L1049.11,1651.87L1071.42,1633.09ZM2804.87,1559.28C2805.5,1578.06 2804.95,1596.1 2803,1613.27L2799.72,1642.25L2857.68,1648.81L2860.97,1619.83C2863.22,1599.96 2863.9,1579.07 2863.17,1557.33L2862.2,1528.18L2803.9,1530.12L2804.87,1559.28ZM1217.5,1558.88C1236.87,1551.88 1254.98,1545.61 1271.98,1539.88L1299.62,1530.55L1280.97,1475.28L1253.33,1484.6C1235.96,1490.46 1217.45,1496.87 1197.66,1504.02L1170.23,1513.94L1190.07,1568.8L1217.5,1558.88ZM1383.15,1502.63C1403.9,1495.17 1422.61,1487.67 1439.93,1479.27L1466.18,1466.54L1440.73,1414.06L1414.48,1426.78C1398.91,1434.33 1382.06,1441.03 1363.41,1447.74L1335.96,1457.62L1355.71,1512.51L1383.15,1502.63ZM2777.41,1393.4C2782.33,1412.11 2786.73,1430.56 2790.49,1448.67L2796.42,1477.23L2853.54,1465.37L2847.6,1436.81C2843.64,1417.72 2839.01,1398.28 2833.83,1378.57L2826.41,1350.36L2770,1365.19L2777.41,1393.4ZM1541.19,1401.64C1553.52,1387.35 1565.77,1370.94 1578.31,1351.79L1594.28,1327.39L1545.48,1295.44L1529.5,1319.84C1518.52,1336.62 1507.83,1351.02 1497.03,1363.53L1477.97,1385.61L1522.14,1423.72L1541.19,1401.64ZM2725.02,1229.27C2731.61,1247.45 2738.01,1265.61 2744.12,1283.7L2753.45,1311.33L2808.72,1292.66L2799.38,1265.03C2793.13,1246.53 2786.6,1227.96 2779.85,1209.37L2769.9,1181.95L2715.07,1201.86L2725.02,1229.27ZM1636.99,1247.12C1644.26,1232.56 1651.77,1217.04 1659.58,1200.45C1660.59,1198.3 1661.61,1196.15 1662.61,1194.02L1675.08,1167.65L1622.34,1142.72L1609.88,1169.09C1608.86,1171.25 1607.83,1173.42 1606.81,1175.59C1599.2,1191.75 1591.88,1206.88 1584.8,1221.06L1571.77,1247.16L1623.96,1273.21L1636.99,1247.12ZM2251.58,766.326C2320.04,672.986 2430.48,612.355 2554.96,612.355C2762.48,612.355 2930.95,780.83 2930.95,988.344C2930.95,1087.56 2892.44,1177.85 2829.58,1245.06C2804.67,1171.95 2775.67,1097.93 2747.18,1026.98C2699.54,908.311 2654.38,849.115 2602.9,816.501C2565.59,792.868 2523.88,781.903 2471.8,777.274C2416.47,772.355 2346.53,774.829 2251.58,766.326ZM2662.3,1066.95C2669.46,1084.79 2676.66,1102.83 2683.81,1120.98L2694.51,1148.12L2748.78,1126.72L2738.08,1099.59C2730.88,1081.32 2723.64,1063.18 2716.44,1045.23L2705.58,1018.16L2651.44,1039.88L2662.3,1066.95ZM1713.81,1090.65C1723.08,1073.13 1732.27,1056.54 1741.52,1040.87L1756.33,1015.74L1706.08,986.113L1691.27,1011.24C1681.59,1027.65 1671.95,1045.03 1662.25,1063.39L1648.61,1089.17L1700.18,1116.44L1713.81,1090.65ZM2584.06,922.671C2594.47,934.345 2604.5,948.467 2614.55,965.492L2629.38,990.608L2679.62,960.949L2664.79,935.834C2652.56,915.134 2640.26,898.042 2627.6,883.849L2608.19,862.079L2564.65,900.901L2584.06,922.671ZM1805.33,949.853C1817.51,935.859 1830.16,923.259 1843.5,912.06L1865.85,893.314L1828.36,848.625L1806.01,867.372C1790.4,880.469 1775.59,895.178 1761.34,911.545L1742.18,933.541L1786.17,971.849L1805.33,949.853ZM2446.47,869.303C2466.17,870.516 2483.98,872.335 2500.35,875.649L2528.94,881.438L2540.51,824.265L2511.93,818.476C2493.13,814.67 2472.68,812.474 2450.05,811.08L2420.94,809.287L2417.35,867.51L2446.47,869.303ZM1935.15,861.305C1951.44,856.036 1968.78,851.999 1987.35,849.144L2016.18,844.713L2007.32,787.057L1978.49,791.488C1956.68,794.84 1936.32,799.616 1917.19,805.802L1889.44,814.778L1907.39,870.28L1935.15,861.305ZM2271.35,861.832C2292.28,863.33 2311.95,864.351 2330.47,865.114L2359.61,866.316L2362.01,808.032L2332.87,806.83C2314.9,806.09 2295.82,805.1 2275.51,803.648L2246.42,801.567L2242.26,859.751L2271.35,861.832ZM2097.81,844.858C2115.7,845.771 2134.46,847.337 2154.17,849.543L2183.16,852.787L2189.65,794.816L2160.66,791.572C2139.72,789.228 2119.79,787.57 2100.78,786.6L2071.65,785.114L2068.68,843.372L2097.81,844.858Z"
+    />
+  ),
+});
+
+export default InpaintIcon;
diff --git a/frontend/src/common/icons/NodesIcon.tsx b/frontend/src/common/icons/NodesIcon.tsx
new file mode 100644
index 0000000000..95a8b4102b
--- /dev/null
+++ b/frontend/src/common/icons/NodesIcon.tsx
@@ -0,0 +1,16 @@
+import { createIcon } from "@chakra-ui/react";
+
+const NodesIcon = createIcon({
+  displayName: 'NodesIcon',
+  viewBox: '0 0 3543 3543',
+  path: (
+    <path
+      fill="currentColor"
+      fillRule="evenodd"
+      clipRule="evenodd"
+      d="M3543.31,770.787C3543.31,515.578 3336.11,308.38 3080.9,308.38L462.407,308.38C207.197,308.38 0,515.578 0,770.787L0,2766.03C0,3021.24 207.197,3228.44 462.407,3228.44L3080.9,3228.44C3336.11,3228.44 3543.31,3021.24 3543.31,2766.03C3543.31,2766.03 3543.31,770.787 3543.31,770.787ZM3427.88,770.787L3427.88,2766.03C3427.88,2957.53 3272.4,3113.01 3080.9,3113.01C3080.9,3113.01 462.407,3113.01 462.407,3113.01C270.906,3113.01 115.431,2957.53 115.431,2766.03L115.431,770.787C115.431,579.286 270.906,423.812 462.407,423.812L3080.9,423.812C3272.4,423.812 3427.88,579.286 3427.88,770.787ZM1214.23,1130.69L1321.47,1130.69C1324.01,1130.69 1326.54,1130.53 1329.05,1130.2C1329.05,1130.2 1367.3,1125.33 1397.94,1149.8C1421.63,1168.72 1437.33,1204.3 1437.33,1265.48L1437.33,2078.74L1220.99,2078.74C1146.83,2078.74 1086.61,2138.95 1086.61,2213.12L1086.61,2762.46C1086.61,2836.63 1146.83,2896.84 1220.99,2896.84L1770.34,2896.84C1844.5,2896.84 1904.71,2836.63 1904.71,2762.46L1904.71,2213.12C1904.71,2138.95 1844.5,2078.74 1770.34,2078.74L1554,2078.74L1554,1604.84C1625.84,1658.19 1703.39,1658.1 1703.39,1658.1C1703.54,1658.1 1703.69,1658.11 1703.84,1658.11L2362.2,1658.11L2362.2,1874.44C2362.2,1948.61 2422.42,2008.82 2496.58,2008.82L3045.93,2008.82C3120.09,2008.82 3180.3,1948.61 3180.3,1874.44L3180.3,1325.1C3180.3,1250.93 3120.09,1190.72 3045.93,1190.72L2496.58,1190.72C2422.42,1190.72 2362.2,1250.93 2362.2,1325.1L2362.2,1558.97L2362.2,1541.44L1704.23,1541.44C1702.2,1541.37 1650.96,1539.37 1609.51,1499.26C1577.72,1468.49 1554,1416.47 1554,1331.69L1554,1265.48C1554,1153.86 1513.98,1093.17 1470.76,1058.64C1411.24,1011.1 1338.98,1012.58 1319.15,1014.03L1214.23,1014.03L1214.23,796.992C1214.23,722.828 1154.02,662.617 1079.85,662.617L530.507,662.617C456.343,662.617 396.131,722.828 396.131,796.992L396.131,1346.34C396.131,1420.5 456.343,1480.71 530.507,1480.71L1079.85,1480.71C1154.02,1480.71 1214.23,1420.5 1214.23,1346.34L1214.23,1130.69Z"
+    />
+  ),
+});
+
+export default NodesIcon;
diff --git a/frontend/src/common/icons/OutpaintIcon.tsx b/frontend/src/common/icons/OutpaintIcon.tsx
new file mode 100644
index 0000000000..c01a61c932
--- /dev/null
+++ b/frontend/src/common/icons/OutpaintIcon.tsx
@@ -0,0 +1,16 @@
+import { createIcon } from "@chakra-ui/react";
+
+const OutpaintIcon = createIcon({
+  displayName: 'OutpaintIcon',
+  viewBox: '0 0 3543 3543',
+  path: (
+    <path
+      fill="currentColor"
+      fillRule="evenodd"
+      clipRule="evenodd"
+      d="M3543.31,766.352C3543.31,516.705 3340.63,314.024 3090.98,314.024L452.328,314.024C202.681,314.024 0,516.705 0,766.352L0,2776.95C0,3026.6 202.681,3229.28 452.328,3229.28C452.328,3229.28 3090.98,3229.28 3090.98,3229.28C3340.63,3229.28 3543.31,3026.6 3543.31,2776.95C3543.31,2776.95 3543.31,766.352 3543.31,766.352ZM3454.26,766.352L3454.26,2776.95C3454.26,2977.46 3291.48,3140.24 3090.98,3140.24L452.328,3140.24C251.825,3140.24 89.043,2977.46 89.043,2776.95C89.043,2776.95 89.043,766.352 89.043,766.352C89.043,565.849 251.825,403.067 452.328,403.067C452.328,403.067 3090.98,403.067 3090.98,403.067C3291.48,403.067 3454.26,565.849 3454.26,766.352ZM1294.01,2603.04L1394.01,2603.04L1394.01,2553.04L1294.01,2553.04L1294.01,2603.04ZM2494.01,2603.04L2524.53,2603.04C2541.26,2603.04 2557.62,2601.44 2573.47,2598.39L2598.02,2593.66L2588.56,2544.56L2564.01,2549.29C2551.23,2551.75 2538.03,2553.04 2524.53,2553.04L2494.01,2553.04L2494.01,2603.04ZM2344.01,2603.04L2444.01,2603.04L2444.01,2553.04L2344.01,2553.04L2344.01,2603.04ZM994.01,2603.04L1094.01,2603.04L1094.01,2553.04L994.01,2553.04L994.01,2603.04ZM1144.01,2603.04L1244.01,2603.04L1244.01,2553.04L1144.01,2553.04L1144.01,2603.04ZM2194.01,2603.04L2294.01,2603.04L2294.01,2553.04L2194.01,2553.04L2194.01,2603.04ZM2044.01,2603.04L2144.01,2603.04L2144.01,2553.04L2044.01,2553.04L2044.01,2603.04ZM1894.01,2603.04L1994.01,2603.04L1994.01,2553.04L1894.01,2553.04L1894.01,2603.04ZM1744.01,2603.04L1844.01,2603.04L1844.01,2553.04L1744.01,2553.04L1744.01,2603.04ZM1444.01,2603.04L1544.01,2603.04L1544.01,2553.04L1444.01,2553.04L1444.01,2603.04ZM1594.01,2603.04L1694.01,2603.04L1694.01,2553.04L1594.01,2553.04L1594.01,2603.04ZM864.145,2551.46C878.835,2562.5 894.741,2572 911.624,2579.74L934.352,2590.15L955.18,2544.7L932.452,2534.28C918.844,2528.05 906.024,2520.39 894.185,2511.49L874.199,2496.47L844.16,2536.44L864.145,2551.46ZM2674.44,2554.92C2689.46,2544.16 2703.28,2531.82 2715.65,2518.14L2732.42,2499.61L2695.35,2466.06L2678.58,2484.6C2668.59,2495.63 2657.44,2505.59 2645.32,2514.28L2625,2528.84L2654.12,2569.48L2674.44,2554.92ZM865.632,1911.31L1339.59,1374.15L2030.89,2134.59L2392.97,1713.77L2677.68,2017.9L2677.68,2324.93C2677.68,2424.23 2597.06,2504.85 2497.76,2504.85C2497.76,2504.85 1045.55,2504.85 1045.55,2504.85C946.251,2504.85 865.632,2424.23 865.632,2324.93L865.632,1911.31ZM771.251,2417.22C776.455,2435.14 783.552,2452.26 792.313,2468.35L804.27,2490.3L848.18,2466.39L836.223,2444.43C829.171,2431.49 823.457,2417.7 819.268,2403.28L812.297,2379.27L764.28,2393.21L771.251,2417.22ZM2770.36,2422.83C2775.83,2405.47 2779.52,2387.33 2781.2,2368.61L2783.43,2343.71L2733.64,2339.24L2731.4,2364.14C2730.05,2379.21 2727.08,2393.82 2722.67,2407.79L2715.15,2431.63L2762.84,2446.67L2770.36,2422.83ZM761.068,2236.12L761.068,2336.12L811.068,2336.12L811.068,2236.12L761.068,2236.12ZM2782.24,2291.41L2782.24,2191.41L2732.24,2191.41L2732.24,2291.41L2782.24,2291.41ZM761.068,2086.12L761.068,2186.12L811.068,2186.12L811.068,2086.12L761.068,2086.12ZM2782.24,2141.41L2782.24,2041.4L2732.24,2041.4L2732.24,2141.41L2782.24,2141.41ZM761.068,1936.12L761.068,2036.12L811.068,2036.12L811.068,1936.12L761.068,1936.12ZM2782.24,1991.4L2782.24,1891.4L2732.24,1891.4L2732.24,1991.4L2782.24,1991.4ZM761.068,1786.12L761.068,1886.12L811.068,1886.12L811.068,1786.12L761.068,1786.12ZM2782.24,1841.4L2782.24,1741.41L2732.24,1741.41L2732.24,1841.4L2782.24,1841.4ZM761.068,1636.12L761.068,1736.12L811.068,1736.12L811.068,1636.12L761.068,1636.12ZM2782.24,1691.41L2782.24,1591.41L2732.24,1591.41L2732.24,1691.41L2782.24,1691.41ZM761.068,1486.12L761.068,1586.12L811.068,1586.12L811.068,1486.12L761.068,1486.12ZM2203.72,1132.2C2318.18,1132.2 2411.11,1225.13 2411.11,1339.59C2411.11,1454.05 2318.18,1546.98 2203.72,1546.98C2089.26,1546.98 1996.33,1454.05 1996.33,1339.59C1996.33,1225.13 2089.26,1132.2 2203.72,1132.2ZM2782.24,1541.41L2782.24,1441.41L2732.24,1441.41L2732.24,1541.41L2782.24,1541.41ZM761.068,1336.12L761.068,1436.12L811.068,1436.12L811.068,1336.12L761.068,1336.12ZM2782.24,1391.41L2782.24,1291.41L2732.24,1291.41L2732.24,1391.41L2782.24,1391.41ZM761.068,1186.12L761.068,1286.12L811.068,1286.12L811.068,1186.12L761.068,1186.12ZM2732.24,1197.98L2732.24,1241.41L2782.24,1241.41L2782.24,1172.98L2781.03,1172.98C2780.06,1162.82 2778.49,1152.83 2776.36,1143.04L2771.04,1118.62L2722.18,1129.24L2727.5,1153.67C2730.61,1167.95 2732.24,1182.78 2732.24,1197.98ZM804.386,1055C794.186,1070.26 785.572,1086.67 778.777,1103.99L769.647,1127.26L816.194,1145.52L825.324,1122.25C830.797,1108.3 837.738,1095.08 845.955,1082.79L859.848,1062L818.279,1034.21L804.386,1055ZM2730.5,1043.14C2719.39,1028.39 2706.73,1014.86 2692.77,1002.81L2673.84,986.48L2641.17,1024.34L2660.1,1040.67C2671.37,1050.39 2681.59,1061.31 2690.56,1073.22L2705.6,1093.19L2745.54,1063.11L2730.5,1043.14ZM933.266,954.821C915.698,961.006 898.998,969.041 883.402,978.694L862.144,991.851L888.457,1034.37L909.715,1021.21C922.275,1013.44 935.723,1006.96 949.871,1001.98L973.452,993.681L956.848,946.518L933.266,954.821ZM2596.18,950.378C2578.71,945.327 2560.49,942.072 2541.72,940.832L2516.78,939.183L2513.48,989.074L2538.43,990.723C2553.54,991.722 2568.22,994.341 2582.28,998.409L2606.3,1005.36L2620.19,957.325L2596.18,950.378ZM2165.09,940.265L2065.09,940.265L2065.09,990.265L2165.09,990.265L2165.09,940.265ZM2015.09,940.265L1915.09,940.265L1915.09,990.265L2015.09,990.265L2015.09,940.265ZM1115.08,940.265L1015.08,940.265L1015.08,990.265L1115.08,990.265L1115.08,940.265ZM1865.08,940.265L1765.08,940.265L1765.08,990.265L1865.08,990.265L1865.08,940.265ZM1265.08,940.265L1165.08,940.265L1165.08,990.265L1265.08,990.265L1265.08,940.265ZM1415.08,940.265L1315.08,940.265L1315.08,990.265L1415.08,990.265L1415.08,940.265ZM1565.08,940.265L1465.08,940.265L1465.08,990.265L1565.08,990.265L1565.08,940.265ZM1715.08,940.265L1615.08,940.265L1615.08,990.265L1715.08,990.265L1715.08,940.265ZM2465.09,940.265L2365.09,940.265L2365.09,990.265L2465.09,990.265L2465.09,940.265ZM2315.09,940.265L2215.09,940.265L2215.09,990.265L2315.09,990.265L2315.09,940.265Z"
+    />
+  ),
+});
+
+export default OutpaintIcon;
diff --git a/frontend/src/common/icons/PostprocessingIcon.tsx b/frontend/src/common/icons/PostprocessingIcon.tsx
new file mode 100644
index 0000000000..29f474b079
--- /dev/null
+++ b/frontend/src/common/icons/PostprocessingIcon.tsx
@@ -0,0 +1,16 @@
+import { createIcon } from '@chakra-ui/react';
+
+const PostprocessingIcon = createIcon({
+  displayName: 'PostprocessingIcon',
+  viewBox: '0 0 3543 3543',
+  path: (
+    <path
+      fill="currentColor"
+      fillRule="evenodd"
+      clipRule="evenodd"
+      d="M709.477,1596.53L992.591,1275.66L2239.09,2646.81L2891.95,1888.03L3427.88,2460.51L3427.88,994.78C3427.88,954.66 3421.05,916.122 3408.5,880.254L3521.9,855.419C3535.8,899.386 3543.31,946.214 3543.31,994.78L3543.31,2990.02C3543.31,3245.23 3336.11,3452.43 3080.9,3452.43C3080.9,3452.43 462.407,3452.43 462.407,3452.43C207.197,3452.43 -0,3245.23 -0,2990.02L-0,994.78C-0,739.571 207.197,532.373 462.407,532.373L505.419,532.373L504.644,532.546L807.104,600.085C820.223,601.729 832.422,607.722 841.77,617.116C850.131,625.517 855.784,636.21 858.055,647.804L462.407,647.804C270.906,647.804 115.431,803.279 115.431,994.78L115.431,2075.73L-0,2101.5L115.431,2127.28L115.431,2269.78L220.47,2150.73L482.345,2209.21C503.267,2211.83 522.722,2221.39 537.63,2236.37C552.538,2251.35 562.049,2270.9 564.657,2291.93L671.84,2776.17L779.022,2291.93C781.631,2270.9 791.141,2251.35 806.05,2236.37C820.958,2221.39 840.413,2211.83 861.334,2209.21L1353.15,2101.5L861.334,1993.8C840.413,1991.18 820.958,1981.62 806.05,1966.64C791.141,1951.66 781.631,1932.11 779.022,1911.08L709.477,1596.53ZM671.84,1573.09L725.556,2006.07C726.863,2016.61 731.63,2026.4 739.101,2033.91C746.573,2041.42 756.323,2046.21 766.808,2047.53L1197.68,2101.5L766.808,2155.48C756.323,2156.8 746.573,2161.59 739.101,2169.09C731.63,2176.6 726.863,2186.4 725.556,2196.94L671.84,2629.92L618.124,2196.94C616.817,2186.4 612.05,2176.6 604.579,2169.09C597.107,2161.59 587.357,2156.8 576.872,2155.48L146.001,2101.5L576.872,2047.53C587.357,2046.21 597.107,2041.42 604.579,2033.91C612.05,2026.4 616.817,2016.61 618.124,2006.07L671.84,1573.09ZM609.035,1710.36L564.657,1911.08C562.049,1932.11 552.538,1951.66 537.63,1966.64C522.722,1981.62 503.267,1991.18 482.345,1993.8L328.665,2028.11L609.035,1710.36ZM2297.12,938.615L2451.12,973.003C2480.59,976.695 2507.99,990.158 2528.99,1011.26C2549.99,1032.37 2563.39,1059.9 2567.07,1089.52L2672.73,1566.9C2634.5,1580.11 2593.44,1587.29 2550.72,1587.29C2344.33,1587.29 2176.77,1419.73 2176.77,1213.34C2176.77,1104.78 2223.13,1006.96 2297.12,938.615ZM2718.05,76.925L2793.72,686.847C2795.56,701.69 2802.27,715.491 2812.8,726.068C2823.32,736.644 2837.06,743.391 2851.83,745.242L3458.78,821.28L2851.83,897.318C2837.06,899.168 2823.32,905.916 2812.8,916.492C2802.27,927.068 2795.56,940.87 2793.72,955.712L2718.05,1565.63L2642.38,955.712C2640.54,940.87 2633.83,927.068 2623.3,916.492C2612.78,905.916 2599.04,899.168 2584.27,897.318L1977.32,821.28L2584.27,745.242C2599.04,743.391 2612.78,736.644 2623.3,726.068C2633.83,715.491 2640.54,701.69 2642.38,686.847L2718.05,76.925ZM2883.68,1043.06C2909.88,1094.13 2924.67,1152.02 2924.67,1213.34C2924.67,1335.4 2866.06,1443.88 2775.49,1512.14L2869.03,1089.52C2871.07,1073.15 2876.07,1057.42 2883.68,1043.06ZM925.928,201.2L959.611,472.704C960.431,479.311 963.42,485.455 968.105,490.163C972.79,494.871 978.904,497.875 985.479,498.698L1255.66,532.546L985.479,566.395C978.904,567.218 972.79,570.222 968.105,574.93C963.42,579.638 960.431,585.781 959.611,592.388L925.928,863.893L892.245,592.388C891.425,585.781 888.436,579.638 883.751,574.93C879.066,570.222 872.952,567.218 866.378,566.395L596.195,532.546L866.378,498.698C872.952,497.875 879.066,494.871 883.751,490.163C888.436,485.455 891.425,479.311 892.245,472.704L925.928,201.2ZM2864.47,532.373L3080.9,532.373C3258.7,532.373 3413.2,632.945 3490.58,780.281L3319.31,742.773C3257.14,683.925 3173.2,647.804 3080.9,647.804L2927.07,647.804C2919.95,642.994 2913.25,637.473 2907.11,631.298C2886.11,610.194 2872.71,582.655 2869.03,553.04L2864.47,532.373ZM1352.36,532.373L2571.64,532.373L2567.07,553.04C2563.39,582.655 2549.99,610.194 2528.99,631.298C2522.85,637.473 2516.16,642.994 2509.03,647.804L993.801,647.804C996.072,636.21 1001.73,625.517 1010.09,617.116C1019.43,607.722 1031.63,601.729 1044.75,600.085L1353.15,532.546L1352.36,532.373Z"
+    />
+  ),
+});
+
+export default PostprocessingIcon;
diff --git a/frontend/src/common/icons/TextToImageIcon.tsx b/frontend/src/common/icons/TextToImageIcon.tsx
new file mode 100644
index 0000000000..97e84fdf19
--- /dev/null
+++ b/frontend/src/common/icons/TextToImageIcon.tsx
@@ -0,0 +1,18 @@
+import { createIcon } from "@chakra-ui/react";
+
+const TextToImageIcon = createIcon({
+  displayName: 'TextToImageIcon',
+  viewBox: '0 0 3543 3543',
+  path: (
+    <g
+      fill="currentColor"
+      fillRule="evenodd"
+      clipRule="evenodd"
+      transform="matrix(1.11667,0,0,1.1066,-231.131,-213.062)"
+    >
+      <path d="M2209.59,1137.35L2209.59,1098.17C2177.13,1108.99 2125.74,1121.91 2055.41,1136.94C2054.77,1137.08 2054.14,1137.21 2053.49,1137.35L1662.79,1137.35C1687.75,1101.98 1720.8,1074.35 1761.93,1054.44C1808.52,1031.9 1875.69,1012.22 1963.45,995.386C2081.86,973.146 2163.91,952.409 2209.59,933.174L2209.59,907.929C2209.59,859.241 2197.57,824.529 2173.53,803.792C2149.48,783.054 2104.1,772.686 2037.38,772.686C1992.3,772.686 1957.14,781.552 1931.89,799.284C1906.64,817.015 1886.21,848.121 1870.58,892.601L1640.67,851.127C1666.51,758.56 1710.99,690.037 1774.11,645.557C1837.22,601.077 1930.99,578.837 2055.41,578.837C2168.42,578.837 2252.57,592.211 2307.87,618.959C2363.17,645.707 2402.09,679.668 2424.63,720.842C2447.17,762.016 2458.44,837.602 2458.44,947.6L2456.7,1137.35L3021.34,1137.35C3214.79,1137.35 3371.86,1294.41 3371.86,1487.87C3371.86,1487.87 3371.86,3000.32 3371.86,3000.32C3371.86,3193.78 3214.79,3350.84 3021.34,3350.84C3021.34,3350.84 1036.45,3350.84 1036.45,3350.84C842.991,3350.84 685.93,3193.78 685.93,3000.32L685.93,1487.87C685.93,1400.21 718.174,1320.03 771.448,1258.54L772.123,1257.76L607.408,1257.76L498.311,1558L215.202,1558L730.028,236.22L1012.24,236.22L1373.06,1137.35L2209.59,1137.35ZM3284.36,2598.93L3284.36,1487.87C3284.36,1342.71 3166.5,1224.85 3021.34,1224.85C3021.34,1224.85 1036.45,1224.85 1036.45,1224.85C891.284,1224.85 773.43,1342.71 773.43,1487.87L773.43,2454.35L1438.34,1700.79L2383.22,2740.16L2878.11,2164.98L3284.36,2598.93ZM2619.44,1370.08C2775.89,1370.08 2902.91,1497.1 2902.91,1653.54C2902.91,1809.99 2775.89,1937.01 2619.44,1937.01C2462.99,1937.01 2335.98,1809.99 2335.98,1653.54C2335.98,1497.1 2462.99,1370.08 2619.44,1370.08ZM772.877,1256.89L772.849,1256.93L773.167,1256.57L772.877,1256.89ZM773.634,1256.04L773.563,1256.12L773.985,1255.64L773.634,1256.04ZM774.394,1255.18L774.276,1255.31L774.746,1254.78L774.394,1255.18ZM775.157,1254.32L774.988,1254.51L775.493,1253.95L775.157,1254.32ZM775.923,1253.47L775.698,1253.72L776.237,1253.12L775.923,1253.47ZM776.691,1252.62L776.403,1252.94L776.979,1252.3L776.691,1252.62ZM777.462,1251.77L777.098,1252.17L777.723,1251.49L777.462,1251.77ZM925.081,1155.44C868.026,1174.57 817.508,1207.99 777.775,1251.43C817.511,1207.99 868.031,1174.57 925.081,1155.44ZM925.646,1155.25L925.108,1155.43L926.103,1155.1L925.646,1155.25ZM935.286,1152.2C932.214,1153.12 929.159,1154.09 926.13,1155.09C929.165,1154.09 932.219,1153.12 935.286,1152.2ZM935.716,1152.07L935.384,1152.17L936.292,1151.89L935.716,1152.07ZM936.843,1151.73L936.451,1151.85L937.327,1151.59L936.843,1151.73ZM937.972,1151.4L937.514,1151.53L938.377,1151.28L937.972,1151.4ZM939.102,1151.07L938.57,1151.22L939.438,1150.97L939.102,1151.07ZM940.233,1150.74L939.613,1150.92L940.505,1150.67L940.233,1150.74ZM946.659,1148.98C944.639,1149.51 942.626,1150.07 940.626,1150.63C942.631,1150.06 944.642,1149.51 946.659,1148.98ZM947.056,1148.87L946.829,1148.93L947.659,1148.71L947.056,1148.87ZM948.198,1148.57L947.919,1148.65L948.705,1148.44L948.198,1148.57ZM949.342,1148.28L949.008,1148.37L949.771,1148.17L949.342,1148.28ZM950.488,1147.99L950.096,1148.09L950.848,1147.9L950.488,1147.99ZM951.635,1147.7L951.182,1147.81L951.932,1147.63L951.635,1147.7ZM952.783,1147.42L952.262,1147.55L953.022,1147.36L952.783,1147.42ZM953.933,1147.14L953.327,1147.28L954.115,1147.09L953.933,1147.14ZM958.213,1146.13C956.927,1146.42 955.644,1146.73 954.354,1147.04C955.637,1146.73 956.923,1146.43 958.213,1146.13ZM958.547,1146.06L958.409,1146.09L959.174,1145.91L958.547,1146.06ZM959.704,1145.79L959.517,1145.84L960.229,1145.68L959.704,1145.79ZM960.863,1145.54L960.626,1145.59L961.311,1145.44L960.863,1145.54ZM962.023,1145.28L961.736,1145.35L962.406,1145.2L962.023,1145.28ZM963.184,1145.03L962.846,1145.11L963.508,1144.97L963.184,1145.03ZM964.347,1144.79L963.956,1144.87L964.615,1144.73L964.347,1144.79ZM965.511,1144.55L965.066,1144.64L965.725,1144.5L965.511,1144.55ZM966.677,1144.31L966.172,1144.41L966.838,1144.28L966.677,1144.31ZM967.844,1144.08L967.269,1144.19L967.953,1144.05L967.844,1144.08ZM970.183,1143.62C969.793,1143.69 969.403,1143.77 969.013,1143.85L969.055,1143.84C969.413,1143.77 969.771,1143.7 970.129,1143.63L970.183,1143.62ZM971.354,1143.4L971.245,1143.42L971.882,1143.3L971.354,1143.4ZM972.526,1143.18L972.37,1143.21L972.987,1143.09L972.526,1143.18ZM973.7,1142.96L973.496,1143L974.103,1142.89L973.7,1142.96ZM974.876,1142.75L974.624,1142.8L975.225,1142.69L974.876,1142.75ZM976.052,1142.55L975.754,1142.6L976.349,1142.49L976.052,1142.55ZM977.23,1142.34L976.885,1142.4L977.476,1142.3L977.23,1142.34ZM978.41,1142.14L978.019,1142.21L978.605,1142.11L978.41,1142.14ZM979.59,1141.95L979.156,1142.02L979.736,1141.92L979.59,1141.95ZM980.772,1141.76L980.299,1141.83L980.868,1141.74L980.772,1141.76ZM981.955,1141.57L981.464,1141.65L982.002,1141.56L981.955,1141.57ZM983.14,1141.39L983.1,1141.39L983.605,1141.32L983.14,1141.39ZM984.326,1141.21L984.239,1141.22L984.778,1141.14L984.326,1141.21ZM985.513,1141.03L985.379,1141.05L985.928,1140.97L985.513,1141.03ZM986.702,1140.86L986.521,1140.89L987.073,1140.81L986.702,1140.86ZM987.891,1140.69L987.665,1140.73L988.218,1140.65L987.891,1140.69ZM989.082,1140.53L988.811,1140.57L989.363,1140.49L989.082,1140.53ZM990.275,1140.37L989.96,1140.41L990.508,1140.34L990.275,1140.37ZM991.468,1140.22L991.113,1140.26L991.654,1140.19L991.468,1140.22ZM992.663,1140.07L992.273,1140.12L992.8,1140.05L992.663,1140.07ZM993.859,1139.92L993.447,1139.97L993.948,1139.91L993.859,1139.92ZM995.056,1139.78L994.671,1139.82L995.097,1139.77L995.056,1139.78ZM996.255,1139.64L996.23,1139.64L996.578,1139.6L996.255,1139.64ZM997.454,1139.5L997.383,1139.51L997.852,1139.46L997.454,1139.5ZM998.655,1139.37L998.537,1139.38L999.041,1139.33L998.655,1139.37ZM999.857,1139.24L999.693,1139.26L1000.21,1139.21L999.857,1139.24ZM1001.06,1139.12L1000.85,1139.14L1001.38,1139.09L1001.06,1139.12ZM1002.26,1139L1002.01,1139.03L1002.54,1138.98L1002.26,1139ZM1003.47,1138.89L1003.18,1138.91L1003.7,1138.87L1003.47,1138.89ZM1004.68,1138.78L1004.34,1138.81L1004.86,1138.76L1004.68,1138.78ZM1005.89,1138.67L1005.52,1138.7L1006.02,1138.66L1005.89,1138.67ZM1007.1,1138.57L1006.71,1138.6L1007.18,1138.56L1007.1,1138.57ZM1008.31,1138.47L1007.96,1138.5L1008.35,1138.46L1008.31,1138.47ZM1009.52,1138.37L1009.5,1138.38L1009.72,1138.36L1009.52,1138.37ZM1010.73,1138.28L1010.67,1138.29L1011.1,1138.26L1010.73,1138.28ZM1011.94,1138.2L1011.84,1138.2L1012.32,1138.17L1011.94,1138.2ZM1013.16,1138.12L1013,1138.13L1013.51,1138.09L1013.16,1138.12ZM1014.37,1138.04L1014.17,1138.05L1014.69,1138.02L1014.37,1138.04ZM1015.59,1137.96L1015.35,1137.98L1015.86,1137.95L1015.59,1137.96ZM1016.81,1137.89L1016.52,1137.91L1017.04,1137.88L1016.81,1137.89ZM1018.03,1137.83L1017.7,1137.85L1018.21,1137.82L1018.03,1137.83ZM1019.25,1137.77L1018.89,1137.79L1019.39,1137.76L1019.25,1137.77ZM1020.47,1137.71L1020.1,1137.73L1020.56,1137.71L1020.47,1137.71ZM1021.69,1137.66L1021.36,1137.67L1021.74,1137.66L1021.69,1137.66ZM1022.92,1137.61L1022.91,1137.61L1023.02,1137.61L1022.92,1137.61ZM1024.14,1137.57L1024.09,1137.57L1024.49,1137.55L1024.14,1137.57ZM1025.37,1137.52L1025.27,1137.53L1025.74,1137.51L1025.37,1137.52ZM1026.6,1137.49L1026.45,1137.49L1026.94,1137.48L1026.6,1137.49ZM1027.82,1137.46L1027.63,1137.46L1028.14,1137.45L1027.82,1137.46ZM1029.05,1137.43L1028.81,1137.43L1029.33,1137.42L1029.05,1137.43ZM1030.28,1137.41L1030,1137.41L1030.52,1137.4L1030.28,1137.41ZM1031.51,1137.39L1031.19,1137.39L1031.7,1137.38L1031.51,1137.39ZM1032.75,1137.37L1032.39,1137.38L1032.89,1137.37L1032.75,1137.37ZM1033.98,1137.36L1033.61,1137.36L1034.07,1137.36L1033.98,1137.36ZM1035.21,1137.35L1034.87,1137.36L1035.26,1137.35L1035.21,1137.35ZM1050.1,1035.06L867.977,544.575L689.455,1035.06L1050.1,1035.06Z" />
+    </g>
+  ),
+});
+
+export default TextToImageIcon;
diff --git a/frontend/src/common/icons/design_files/BaseImage.afdesign b/frontend/src/common/icons/design_files/BaseImage.afdesign
new file mode 100644
index 0000000000..5c1ff31286
Binary files /dev/null and b/frontend/src/common/icons/design_files/BaseImage.afdesign differ
diff --git a/frontend/src/common/icons/design_files/ImageToImage.afdesign b/frontend/src/common/icons/design_files/ImageToImage.afdesign
new file mode 100644
index 0000000000..c744eeab3c
Binary files /dev/null and b/frontend/src/common/icons/design_files/ImageToImage.afdesign differ
diff --git a/frontend/src/common/icons/design_files/ImageToImage.svg b/frontend/src/common/icons/design_files/ImageToImage.svg
new file mode 100644
index 0000000000..14842fabbe
--- /dev/null
+++ b/frontend/src/common/icons/design_files/ImageToImage.svg
@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg width="100%" height="100%" viewBox="0 0 3543 3543" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
+    <g transform="matrix(1.10943,0,0,1.10943,-206.981,-213.533)">
+        <path d="M688.533,2405.95L542.987,2405.95C349.532,2405.95 192.47,2248.89 192.47,2055.44L192.47,542.987C192.47,349.532 349.532,192.47 542.987,192.47L2527.88,192.47C2721.33,192.47 2878.4,349.532 2878.4,542.987L2878.4,1172.79L3023.94,1172.79C3217.4,1172.79 3374.46,1329.85 3374.46,1523.3C3374.46,1523.3 3374.46,3035.75 3374.46,3035.75C3374.46,3229.21 3217.4,3386.27 3023.94,3386.27L1039.05,3386.27C845.595,3386.27 688.533,3229.21 688.533,3035.75L688.533,2405.95ZM3286.96,2634.37L3286.96,1523.3C3286.96,1378.14 3169.11,1260.29 3023.94,1260.29C3023.94,1260.29 1039.05,1260.29 1039.05,1260.29C893.887,1260.29 776.033,1378.14 776.033,1523.3L776.033,2489.79L1440.94,1736.22L2385.83,2775.59L2880.71,2200.41L3286.96,2634.37ZM2622.05,1405.51C2778.5,1405.51 2905.51,1532.53 2905.51,1688.98C2905.51,1845.42 2778.5,1972.44 2622.05,1972.44C2465.6,1972.44 2338.58,1845.42 2338.58,1688.98C2338.58,1532.53 2465.6,1405.51 2622.05,1405.51ZM2790.9,1172.79L1323.86,1172.79L944.882,755.906L279.97,1509.47L279.97,542.987C279.97,397.824 397.824,279.97 542.987,279.97C542.987,279.97 2527.88,279.97 2527.88,279.97C2673.04,279.97 2790.9,397.824 2790.9,542.987L2790.9,1172.79ZM2125.98,425.197C2282.43,425.197 2409.45,552.213 2409.45,708.661C2409.45,865.11 2282.43,992.126 2125.98,992.126C1969.54,992.126 1842.52,865.11 1842.52,708.661C1842.52,552.213 1969.54,425.197 2125.98,425.197Z"/>
+    </g>
+</svg>
diff --git a/frontend/src/common/icons/design_files/Inpaint.afdesign b/frontend/src/common/icons/design_files/Inpaint.afdesign
new file mode 100644
index 0000000000..8447c567e1
Binary files /dev/null and b/frontend/src/common/icons/design_files/Inpaint.afdesign differ
diff --git a/frontend/src/common/icons/design_files/Inpaint.svg b/frontend/src/common/icons/design_files/Inpaint.svg
new file mode 100644
index 0000000000..d5bc25a777
--- /dev/null
+++ b/frontend/src/common/icons/design_files/Inpaint.svg
@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg width="100%" height="100%" viewBox="0 0 3543 3543" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:2;">
+    <g>
+        <path d="M3543.31,768.593C3543.31,517.323 3339.31,313.324 3088.04,313.324L455.269,313.324C203.999,313.324 0,517.323 0,768.593C0,768.593 0,2774.71 0,2774.71C0,3025.98 203.999,3229.98 455.269,3229.98L3088.04,3229.98C3339.31,3229.98 3543.31,3025.98 3543.31,2774.71C3543.31,2774.71 3543.31,768.593 3543.31,768.593ZM3446.56,2252.63L3446.56,768.593C3446.56,570.718 3285.91,410.068 3088.04,410.068C3088.04,410.068 455.269,410.068 455.269,410.068C257.394,410.068 96.745,570.718 96.745,768.593L96.745,2061.49L988.344,1051.01L1326.63,1423.12C1281.74,1438.3 1227.39,1454.93 1158.26,1480.89C995.738,1541.9 944.356,1613.28 911.834,1718.7C884.979,1805.76 875.814,1922.93 811.322,2093.5C763.918,2218.87 765.18,2304.83 790.606,2364.87C817.014,2427.22 869.858,2467.73 941.71,2493.83C1023.86,2523.67 1134.43,2534.25 1242.45,2557.97C1365.72,2585.04 1455.23,2643.2 1532.76,2665.96C1587.03,2681.89 1637.04,2683.6 1686.56,2663.56C1731.54,2645.36 1777.95,2607.64 1825.43,2535.92C1874.9,2461.2 1979.98,2369.94 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diff --git a/frontend/src/common/icons/design_files/Nodes.afdesign b/frontend/src/common/icons/design_files/Nodes.afdesign
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diff --git a/frontend/src/common/icons/design_files/Nodes.svg b/frontend/src/common/icons/design_files/Nodes.svg
new file mode 100644
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diff --git a/frontend/src/common/icons/design_files/TextToImage.svg b/frontend/src/common/icons/design_files/TextToImage.svg
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style="fill-rule:nonzero;stroke:white;stroke-opacity:0;stroke-width:0.9px;"/>
+    </g>
+</svg>
diff --git a/frontend/src/common/util/parameterTranslation.ts b/frontend/src/common/util/parameterTranslation.ts
index 52ecfbc9b6..0b306808db 100644
--- a/frontend/src/common/util/parameterTranslation.ts
+++ b/frontend/src/common/util/parameterTranslation.ts
@@ -6,6 +6,7 @@
 import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../app/constants';
 import { OptionsState } from '../../features/options/optionsSlice';
 import { SystemState } from '../../features/system/systemSlice';
+
 import {
   seedWeightsToString,
   stringToSeedWeightsArray,
@@ -21,6 +22,8 @@ export const frontendToBackendParameters = (
     iterations,
     steps,
     cfgScale,
+    threshold,
+    perlin,
     height,
     width,
     sampler,
@@ -49,6 +52,8 @@ export const frontendToBackendParameters = (
     iterations,
     steps,
     cfg_scale: cfgScale,
+    threshold,
+    perlin,
     height,
     width,
     sampler_name: sampler,
@@ -111,6 +116,8 @@ export const backendToFrontendParameters = (parameters: {
     iterations,
     steps,
     cfg_scale,
+    threshold,
+    perlin,
     height,
     width,
     sampler_name,
@@ -171,6 +178,8 @@ export const backendToFrontendParameters = (parameters: {
     options.iterations = iterations;
     options.steps = steps;
     options.cfgScale = cfg_scale;
+    options.threshold = threshold;
+    options.perlin = perlin;
     options.height = height;
     options.width = width;
     options.sampler = sampler_name;
diff --git a/frontend/src/common/util/seedWeightPairs.ts b/frontend/src/common/util/seedWeightPairs.ts
index 0bdb287554..9c024e1e1a 100644
--- a/frontend/src/common/util/seedWeightPairs.ts
+++ b/frontend/src/common/util/seedWeightPairs.ts
@@ -6,7 +6,7 @@ export const stringToSeedWeights = (
   const stringPairs = string.split(',');
   const arrPairs = stringPairs.map((p) => p.split(':'));
   const pairs = arrPairs.map((p: Array<string>): InvokeAI.SeedWeightPair => {
-    return { seed: parseInt(p[0]), weight: parseFloat(p[1]) };
+    return { seed: Number(p[0]), weight: Number(p[1]) };
   });
 
   if (!validateSeedWeights(pairs)) {
diff --git a/frontend/src/features/gallery/CurrentImageButtons.tsx b/frontend/src/features/gallery/CurrentImageButtons.tsx
index 4dc1001c74..d2816f9cce 100644
--- a/frontend/src/features/gallery/CurrentImageButtons.tsx
+++ b/frontend/src/features/gallery/CurrentImageButtons.tsx
@@ -1,4 +1,3 @@
-import { Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 
@@ -7,14 +6,23 @@ import * as InvokeAI from '../../app/invokeai';
 import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import {
+  setActiveTab,
   setAllParameters,
   setInitialImagePath,
   setSeed,
+  setShouldShowImageDetails,
 } from '../options/optionsSlice';
 import DeleteImageModal from './DeleteImageModal';
 import { SystemState } from '../system/systemSlice';
-import SDButton from '../../common/components/SDButton';
+import IAIButton from '../../common/components/IAIButton';
 import { runESRGAN, runGFPGAN } from '../../app/socketio/actions';
+import IAIIconButton from '../../common/components/IAIIconButton';
+import { MdDelete, MdFace, MdHd, MdImage, MdInfo } from 'react-icons/md';
+import InvokePopover from './InvokePopover';
+import UpscaleOptions from '../options/AdvancedOptions/Upscale/UpscaleOptions';
+import FaceRestoreOptions from '../options/AdvancedOptions/FaceRestore/FaceRestoreOptions';
+import { useHotkeys } from 'react-hotkeys-hook';
+import { useToast } from '@chakra-ui/react';
 
 const systemSelector = createSelector(
   (state: RootState) => state.system,
@@ -35,120 +43,278 @@ const systemSelector = createSelector(
 
 type CurrentImageButtonsProps = {
   image: InvokeAI.Image;
-  shouldShowImageDetails: boolean;
-  setShouldShowImageDetails: (b: boolean) => void;
 };
 
 /**
  * Row of buttons for common actions:
  * Use as init image, use all params, use seed, upscale, fix faces, details, delete.
  */
-const CurrentImageButtons = ({
-  image,
-  shouldShowImageDetails,
-  setShouldShowImageDetails,
-}: CurrentImageButtonsProps) => {
+const CurrentImageButtons = ({ image }: CurrentImageButtonsProps) => {
   const dispatch = useAppDispatch();
 
-  const { intermediateImage } = useAppSelector(
-    (state: RootState) => state.gallery
+  const shouldShowImageDetails = useAppSelector(
+    (state: RootState) => state.options.shouldShowImageDetails
   );
 
-  const { upscalingLevel, gfpganStrength } = useAppSelector(
-    (state: RootState) => state.options
+  const toast = useToast();
+
+  const intermediateImage = useAppSelector(
+    (state: RootState) => state.gallery.intermediateImage
+  );
+
+  const upscalingLevel = useAppSelector(
+    (state: RootState) => state.options.upscalingLevel
+  );
+
+  const gfpganStrength = useAppSelector(
+    (state: RootState) => state.options.gfpganStrength
   );
 
   const { isProcessing, isConnected, isGFPGANAvailable, isESRGANAvailable } =
     useAppSelector(systemSelector);
 
-  const handleClickUseAsInitialImage = () =>
+  const handleClickUseAsInitialImage = () => {
     dispatch(setInitialImagePath(image.url));
+    dispatch(setActiveTab(1));
+  };
+
+  useHotkeys(
+    'shift+i',
+    () => {
+      if (image) {
+        handleClickUseAsInitialImage();
+        toast({
+          title: 'Sent To Image To Image',
+          status: 'success',
+          duration: 2500,
+          isClosable: true,
+        });
+      } else {
+        toast({
+          title: 'No Image Loaded',
+          description: 'No image found to send to image to image module.',
+          status: 'error',
+          duration: 2500,
+          isClosable: true,
+        });
+      }
+    },
+    [image]
+  );
 
   const handleClickUseAllParameters = () =>
     dispatch(setAllParameters(image.metadata));
+  useHotkeys(
+    'a',
+    () => {
+      if (['txt2img', 'img2img'].includes(image?.metadata?.image?.type)) {
+        handleClickUseAllParameters();
+        toast({
+          title: 'Parameters Set',
+          status: 'success',
+          duration: 2500,
+          isClosable: true,
+        });
+      } else {
+        toast({
+          title: 'Parameters Not Set',
+          description: 'No metadata found for this image.',
+          status: 'error',
+          duration: 2500,
+          isClosable: true,
+        });
+      }
+    },
+    [image]
+  );
 
   // Non-null assertion: this button is disabled if there is no seed.
   // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
   const handleClickUseSeed = () => dispatch(setSeed(image.metadata.image.seed));
+  useHotkeys(
+    's',
+    () => {
+      if (image?.metadata?.image?.seed) {
+        handleClickUseSeed();
+        toast({
+          title: 'Seed Set',
+          status: 'success',
+          duration: 2500,
+          isClosable: true,
+        });
+      } else {
+        toast({
+          title: 'Seed Not Set',
+          description: 'Could not find seed for this image.',
+          status: 'error',
+          duration: 2500,
+          isClosable: true,
+        });
+      }
+    },
+    [image]
+  );
+
   const handleClickUpscale = () => dispatch(runESRGAN(image));
+  useHotkeys(
+    'u',
+    () => {
+      if (
+        isESRGANAvailable &&
+        Boolean(!intermediateImage) &&
+        isConnected &&
+        !isProcessing &&
+        upscalingLevel
+      ) {
+        handleClickUpscale();
+      } else {
+        toast({
+          title: 'Upscaling Failed',
+          status: 'error',
+          duration: 2500,
+          isClosable: true,
+        });
+      }
+    },
+    [
+      image,
+      isESRGANAvailable,
+      intermediateImage,
+      isConnected,
+      isProcessing,
+      upscalingLevel,
+    ]
+  );
 
   const handleClickFixFaces = () => dispatch(runGFPGAN(image));
+  useHotkeys(
+    'r',
+    () => {
+      if (
+        isGFPGANAvailable &&
+        Boolean(!intermediateImage) &&
+        isConnected &&
+        !isProcessing &&
+        gfpganStrength
+      ) {
+        handleClickFixFaces();
+      } else {
+        toast({
+          title: 'Face Restoration Failed',
+          status: 'error',
+          duration: 2500,
+          isClosable: true,
+        });
+      }
+    },
+    [
+      image,
+      isGFPGANAvailable,
+      intermediateImage,
+      isConnected,
+      isProcessing,
+      gfpganStrength,
+    ]
+  );
 
   const handleClickShowImageDetails = () =>
-    setShouldShowImageDetails(!shouldShowImageDetails);
+    dispatch(setShouldShowImageDetails(!shouldShowImageDetails));
+
+  useHotkeys(
+    'i',
+    () => {
+      if (image) {
+        handleClickShowImageDetails();
+      } else {
+        toast({
+          title: 'Failed to load metadata',
+          status: 'error',
+          duration: 2500,
+          isClosable: true,
+        });
+      }
+    },
+    [image, shouldShowImageDetails]
+  );
 
   return (
-    <Flex gap={2}>
-      <SDButton
-        label="Use as initial image"
-        colorScheme={'gray'}
-        flexGrow={1}
-        variant={'outline'}
+    <div className="current-image-options">
+      <IAIIconButton
+        icon={<MdImage />}
+        tooltip="Send To Image To Image"
+        aria-label="Send To Image To Image"
         onClick={handleClickUseAsInitialImage}
       />
 
-      <SDButton
-        label="Use all"
-        colorScheme={'gray'}
-        flexGrow={1}
-        variant={'outline'}
-        isDisabled={!['txt2img', 'img2img'].includes(image?.metadata?.image?.type)}
+      <IAIButton
+        label="Use All"
+        isDisabled={
+          !['txt2img', 'img2img'].includes(image?.metadata?.image?.type)
+        }
         onClick={handleClickUseAllParameters}
       />
 
-      <SDButton
-        label="Use seed"
-        colorScheme={'gray'}
-        flexGrow={1}
-        variant={'outline'}
+      <IAIButton
+        label="Use Seed"
         isDisabled={!image?.metadata?.image?.seed}
         onClick={handleClickUseSeed}
       />
 
-      <SDButton
-        label="Upscale"
-        colorScheme={'gray'}
-        flexGrow={1}
-        variant={'outline'}
-        isDisabled={
-          !isESRGANAvailable ||
-          Boolean(intermediateImage) ||
-          !(isConnected && !isProcessing) ||
-          !upscalingLevel
+      <InvokePopover
+        title="Restore Faces"
+        popoverOptions={<FaceRestoreOptions />}
+        actionButton={
+          <IAIButton
+            label={'Restore Faces'}
+            isDisabled={
+              !isGFPGANAvailable ||
+              Boolean(intermediateImage) ||
+              !(isConnected && !isProcessing) ||
+              !gfpganStrength
+            }
+            onClick={handleClickFixFaces}
+          />
         }
-        onClick={handleClickUpscale}
-      />
-      <SDButton
-        label="Fix faces"
-        colorScheme={'gray'}
-        flexGrow={1}
-        variant={'outline'}
-        isDisabled={
-          !isGFPGANAvailable ||
-          Boolean(intermediateImage) ||
-          !(isConnected && !isProcessing) ||
-          !gfpganStrength
+      >
+        <IAIIconButton icon={<MdFace />} aria-label="Restore Faces" />
+      </InvokePopover>
+
+      <InvokePopover
+        title="Upscale"
+        styleClass="upscale-popover"
+        popoverOptions={<UpscaleOptions />}
+        actionButton={
+          <IAIButton
+            label={'Upscale Image'}
+            isDisabled={
+              !isESRGANAvailable ||
+              Boolean(intermediateImage) ||
+              !(isConnected && !isProcessing) ||
+              !upscalingLevel
+            }
+            onClick={handleClickUpscale}
+          />
         }
-        onClick={handleClickFixFaces}
-      />
-      <SDButton
-        label="Details"
-        colorScheme={'gray'}
-        variant={shouldShowImageDetails ? 'solid' : 'outline'}
-        borderWidth={1}
-        flexGrow={1}
+      >
+        <IAIIconButton icon={<MdHd />} aria-label="Upscale" />
+      </InvokePopover>
+
+      <IAIIconButton
+        icon={<MdInfo />}
+        tooltip="Details"
+        aria-label="Details"
         onClick={handleClickShowImageDetails}
       />
+
       <DeleteImageModal image={image}>
-        <SDButton
-          label="Delete"
-          colorScheme={'red'}
-          flexGrow={1}
-          variant={'outline'}
+        <IAIIconButton
+          icon={<MdDelete />}
+          tooltip="Delete Image"
+          aria-label="Delete Image"
           isDisabled={Boolean(intermediateImage)}
         />
       </DeleteImageModal>
-    </Flex>
+    </div>
   );
 };
 
diff --git a/frontend/src/features/gallery/CurrentImageDisplay.scss b/frontend/src/features/gallery/CurrentImageDisplay.scss
new file mode 100644
index 0000000000..35739fa9e0
--- /dev/null
+++ b/frontend/src/features/gallery/CurrentImageDisplay.scss
@@ -0,0 +1,108 @@
+@use '../../styles/Mixins/' as *;
+
+.current-image-display {
+  display: grid;
+  grid-template-areas:
+    'current-image-tools'
+    'current-image-preview';
+  grid-template-rows: auto 1fr;
+  justify-items: center;
+  background-color: var(--background-color-secondary);
+  border-radius: 0.5rem;
+}
+
+.current-image-display-placeholder {
+  background-color: var(--background-color-secondary);
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  width: 100%;
+  height: 100%;
+
+  svg {
+    width: 10rem;
+    height: 10rem;
+    color: var(--svg-color);
+  }
+}
+
+.current-image-tools {
+  width: 100%;
+  height: 100%;
+  display: grid;
+  justify-content: center;
+}
+
+.current-image-options {
+  display: grid;
+  grid-auto-flow: column;
+  padding: 1rem;
+  height: fit-content;
+  gap: 0.5rem;
+
+  button {
+    @include Button(
+      $btn-width: 3rem,
+      $icon-size: 22px,
+      $btn-color: var(--btn-grey),
+      $btn-color-hover: var(--btn-grey-hover)
+    );
+  }
+}
+
+.current-image-preview {
+  grid-area: current-image-preview;
+  position: relative;
+  justify-content: center;
+  align-items: center;
+  display: grid;
+  width: 100%;
+  grid-template-areas: 'current-image-content';
+
+  img {
+    grid-area: current-image-content;
+    background-color: var(--img2img-img-bg-color);
+    border-radius: 0.5rem;
+    object-fit: contain;
+    width: auto;
+    height: $app-gallery-height;
+    max-height: $app-gallery-height;
+  }
+}
+
+.current-image-metadata {
+  grid-area: current-image-preview;
+}
+
+.current-image-next-prev-buttons {
+  grid-area: current-image-content;
+  display: flex;
+  justify-content: space-between;
+  z-index: 1;
+  height: 100%;
+  pointer-events: none;
+}
+
+.next-prev-button-trigger-area {
+  width: 7rem;
+  height: 100%;
+  width: 100%;
+  display: grid;
+  align-items: center;
+  pointer-events: auto;
+
+  &.prev-button-trigger-area {
+    justify-content: flex-start;
+  }
+
+  &.next-button-trigger-area {
+    justify-content: flex-end;
+  }
+}
+
+.next-prev-button {
+  font-size: 4rem;
+  fill: var(--white);
+  filter: drop-shadow(0 0 1rem var(--text-color-secondary));
+  opacity: 70%;
+}
diff --git a/frontend/src/features/gallery/CurrentImageDisplay.tsx b/frontend/src/features/gallery/CurrentImageDisplay.tsx
index 88b19f865b..aab1681333 100644
--- a/frontend/src/features/gallery/CurrentImageDisplay.tsx
+++ b/frontend/src/features/gallery/CurrentImageDisplay.tsx
@@ -1,12 +1,8 @@
-import { Center, Flex, Image, Text, useColorModeValue } from '@chakra-ui/react';
-import { useAppSelector } from '../../app/store';
-import { RootState } from '../../app/store';
-import { useState } from 'react';
-import ImageMetadataViewer from './ImageMetadataViewer';
+import { RootState, useAppSelector } from '../../app/store';
 import CurrentImageButtons from './CurrentImageButtons';
-
-// TODO: With CSS Grid I had a hard time centering the image in a grid item. This is needed for that.
-const height = 'calc(100vh - 238px)';
+import { MdPhoto } from 'react-icons/md';
+import CurrentImagePreview from './CurrentImagePreview';
+import ImageMetadataViewer from './ImageMetaDataViewer/ImageMetadataViewer';
 
 /**
  * Displays the current image if there is one, plus associated actions.
@@ -16,51 +12,29 @@ const CurrentImageDisplay = () => {
     (state: RootState) => state.gallery
   );
 
-  const bgColor = useColorModeValue(
-    'rgba(255, 255, 255, 0.85)',
-    'rgba(0, 0, 0, 0.8)'
+  const shouldShowImageDetails = useAppSelector(
+    (state: RootState) => state.options.shouldShowImageDetails
   );
 
-  const [shouldShowImageDetails, setShouldShowImageDetails] =
-    useState<boolean>(false);
-
   const imageToDisplay = intermediateImage || currentImage;
 
   return imageToDisplay ? (
-    <Flex direction={'column'} borderWidth={1} rounded={'md'} p={2} gap={2}>
-      <CurrentImageButtons
-        image={imageToDisplay}
-        shouldShowImageDetails={shouldShowImageDetails}
-        setShouldShowImageDetails={setShouldShowImageDetails}
-      />
-      <Center height={height} position={'relative'}>
-        <Image
-          src={imageToDisplay.url}
-          fit="contain"
-          maxWidth={'100%'}
-          maxHeight={'100%'}
+    <div className="current-image-display">
+      <div className="current-image-tools">
+        <CurrentImageButtons image={imageToDisplay} />
+      </div>
+      <CurrentImagePreview imageToDisplay={imageToDisplay} />
+      {shouldShowImageDetails && (
+        <ImageMetadataViewer
+          image={imageToDisplay}
+          styleClass="current-image-metadata"
         />
-        {shouldShowImageDetails && (
-          <Flex
-            width={'100%'}
-            height={'100%'}
-            position={'absolute'}
-            top={0}
-            left={0}
-            p={3}
-            boxSizing="border-box"
-            backgroundColor={bgColor}
-            overflow="scroll"
-          >
-            <ImageMetadataViewer image={imageToDisplay} />
-          </Flex>
-        )}
-      </Center>
-    </Flex>
+      )}
+    </div>
   ) : (
-    <Center height={'100%'} position={'relative'}>
-      <Text size={'xl'}>No image selected</Text>
-    </Center>
+    <div className="current-image-display-placeholder">
+      <MdPhoto />
+    </div>
   );
 };
 
diff --git a/frontend/src/features/gallery/CurrentImagePreview.tsx b/frontend/src/features/gallery/CurrentImagePreview.tsx
new file mode 100644
index 0000000000..d71db0459b
--- /dev/null
+++ b/frontend/src/features/gallery/CurrentImagePreview.tsx
@@ -0,0 +1,105 @@
+import { IconButton, Image } from '@chakra-ui/react';
+import React, { useState } from 'react';
+import { FaAngleLeft, FaAngleRight } from 'react-icons/fa';
+import { RootState, useAppDispatch, useAppSelector } from '../../app/store';
+import { GalleryState, selectNextImage, selectPrevImage } from './gallerySlice';
+import * as InvokeAI from '../../app/invokeai';
+import { createSelector } from '@reduxjs/toolkit';
+import _ from 'lodash';
+
+const imagesSelector = createSelector(
+  (state: RootState) => state.gallery,
+  (gallery: GalleryState) => {
+    const currentImageIndex = gallery.images.findIndex(
+      (i) => i.uuid === gallery?.currentImage?.uuid
+    );
+    const imagesLength = gallery.images.length;
+    return {
+      isOnFirstImage: currentImageIndex === 0,
+      isOnLastImage:
+        !isNaN(currentImageIndex) && currentImageIndex === imagesLength - 1,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: _.isEqual,
+    },
+  }
+);
+
+interface CurrentImagePreviewProps {
+  imageToDisplay: InvokeAI.Image;
+}
+
+export default function CurrentImagePreview(props: CurrentImagePreviewProps) {
+  const { imageToDisplay } = props;
+  const dispatch = useAppDispatch();
+
+  const { isOnFirstImage, isOnLastImage } = useAppSelector(imagesSelector);
+
+  const shouldShowImageDetails = useAppSelector(
+    (state: RootState) => state.options.shouldShowImageDetails
+  );
+
+  const [shouldShowNextPrevButtons, setShouldShowNextPrevButtons] =
+    useState<boolean>(false);
+
+  const handleCurrentImagePreviewMouseOver = () => {
+    setShouldShowNextPrevButtons(true);
+  };
+
+  const handleCurrentImagePreviewMouseOut = () => {
+    setShouldShowNextPrevButtons(false);
+  };
+
+  const handleClickPrevButton = () => {
+    dispatch(selectPrevImage());
+  };
+
+  const handleClickNextButton = () => {
+    dispatch(selectNextImage());
+  };
+
+  return (
+    <div className="current-image-preview">
+      <Image
+        src={imageToDisplay.url}
+        fit="contain"
+        maxWidth={'100%'}
+        maxHeight={'100%'}
+      />
+      {!shouldShowImageDetails && (
+        <div className="current-image-next-prev-buttons">
+          <div
+            className="next-prev-button-trigger-area prev-button-trigger-area"
+            onMouseOver={handleCurrentImagePreviewMouseOver}
+            onMouseOut={handleCurrentImagePreviewMouseOut}
+          >
+            {shouldShowNextPrevButtons && !isOnFirstImage && (
+              <IconButton
+                aria-label="Previous image"
+                icon={<FaAngleLeft className="next-prev-button" />}
+                variant="unstyled"
+                onClick={handleClickPrevButton}
+              />
+            )}
+          </div>
+          <div
+            className="next-prev-button-trigger-area next-button-trigger-area"
+            onMouseOver={handleCurrentImagePreviewMouseOver}
+            onMouseOut={handleCurrentImagePreviewMouseOut}
+          >
+            {shouldShowNextPrevButtons && !isOnLastImage && (
+              <IconButton
+                aria-label="Next image"
+                icon={<FaAngleRight className="next-prev-button" />}
+                variant="unstyled"
+                onClick={handleClickNextButton}
+              />
+            )}
+          </div>
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/frontend/src/features/gallery/DeleteImageModal.tsx b/frontend/src/features/gallery/DeleteImageModal.tsx
index 91ff3f8885..87e5270faa 100644
--- a/frontend/src/features/gallery/DeleteImageModal.tsx
+++ b/frontend/src/features/gallery/DeleteImageModal.tsx
@@ -27,6 +27,7 @@ import { deleteImage } from '../../app/socketio/actions';
 import { RootState } from '../../app/store';
 import { setShouldConfirmOnDelete, SystemState } from '../system/systemSlice';
 import * as InvokeAI from '../../app/invokeai';
+import { useHotkeys } from 'react-hotkeys-hook';
 
 interface DeleteImageModalProps {
   /**
@@ -67,6 +68,14 @@ const DeleteImageModal = forwardRef(
       onClose();
     };
 
+    useHotkeys(
+      'del',
+      () => {
+        shouldConfirmOnDelete ? onOpen() : handleDelete();
+      },
+      [image, shouldConfirmOnDelete]
+    );
+
     const handleChangeShouldConfirmOnDelete = (
       e: ChangeEvent<HTMLInputElement>
     ) => dispatch(setShouldConfirmOnDelete(!e.target.checked));
diff --git a/frontend/src/features/gallery/HoverableImage.tsx b/frontend/src/features/gallery/HoverableImage.tsx
index 3809888bf9..927836a978 100644
--- a/frontend/src/features/gallery/HoverableImage.tsx
+++ b/frontend/src/features/gallery/HoverableImage.tsx
@@ -7,12 +7,17 @@ import {
   Tooltip,
   useColorModeValue,
 } from '@chakra-ui/react';
-import { useAppDispatch } from '../../app/store';
+import { RootState, useAppDispatch, useAppSelector } from '../../app/store';
 import { setCurrentImage } from './gallerySlice';
-import { FaCheck, FaSeedling, FaTrashAlt } from 'react-icons/fa';
+import { FaCheck, FaImage, FaSeedling, FaTrashAlt } from 'react-icons/fa';
 import DeleteImageModal from './DeleteImageModal';
 import { memo, SyntheticEvent, useState } from 'react';
-import { setAllParameters, setSeed } from '../options/optionsSlice';
+import {
+  setActiveTab,
+  setAllParameters,
+  setInitialImagePath,
+  setSeed,
+} from '../options/optionsSlice';
 import * as InvokeAI from '../../app/invokeai';
 import { IoArrowUndoCircleOutline } from 'react-icons/io5';
 
@@ -33,6 +38,10 @@ const HoverableImage = memo((props: HoverableImageProps) => {
   const [isHovered, setIsHovered] = useState<boolean>(false);
   const dispatch = useAppDispatch();
 
+  const activeTab = useAppSelector(
+    (state: RootState) => state.options.activeTab
+  );
+
   const checkColor = useColorModeValue('green.600', 'green.300');
   const bgColor = useColorModeValue('gray.200', 'gray.700');
   const bgGradient = useColorModeValue(
@@ -56,6 +65,14 @@ const HoverableImage = memo((props: HoverableImageProps) => {
     dispatch(setSeed(image.metadata.image.seed));
   };
 
+  const handleSetInitImage = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    dispatch(setInitialImagePath(image.url));
+    if (activeTab !== 1) {
+      dispatch(setActiveTab(1));
+    }
+  };
+
   const handleClickImage = () => dispatch(setCurrentImage(image));
 
   return (
@@ -119,7 +136,7 @@ const HoverableImage = memo((props: HoverableImageProps) => {
                 />
               </Tooltip>
             )}
-            {image?.metadata?.image?.seed && (
+            {image?.metadata?.image?.seed !== undefined && (
               <Tooltip label="Use seed">
                 <IconButton
                   aria-label="Use seed"
@@ -131,6 +148,16 @@ const HoverableImage = memo((props: HoverableImageProps) => {
                 />
               </Tooltip>
             )}
+            <Tooltip label="Send To Image To Image">
+              <IconButton
+                aria-label="Send To Image To Image"
+                icon={<FaImage />}
+                size="xs"
+                fontSize={16}
+                variant={'imageHoverIconButton'}
+                onClickCapture={handleSetInitImage}
+              />
+            </Tooltip>
           </Flex>
         )}
       </Flex>
diff --git a/frontend/src/features/gallery/ImageGallery.scss b/frontend/src/features/gallery/ImageGallery.scss
new file mode 100644
index 0000000000..135caf3e31
--- /dev/null
+++ b/frontend/src/features/gallery/ImageGallery.scss
@@ -0,0 +1,51 @@
+@use '../../styles/Mixins/' as *;
+
+.image-gallery-container {
+  display: grid;
+  row-gap: 1rem;
+  grid-auto-rows: max-content;
+  min-width: 16rem;
+}
+
+.image-gallery-container-placeholder {
+  display: grid;
+  background-color: var(--background-color-secondary);
+  border-radius: 0.5rem;
+  place-items: center;
+  padding: 2rem 0;
+
+  p {
+    color: var(--subtext-color-bright);
+  }
+
+  svg {
+    width: 5rem;
+    height: 5rem;
+    color: var(--svg-color);
+  }
+}
+
+.image-gallery {
+  display: grid;
+  grid-template-columns: repeat(2, max-content);
+  gap: 0.6rem;
+  justify-items: center;
+  max-height: $app-gallery-height;
+  overflow-y: scroll;
+  @include HideScrollbar;
+}
+
+.image-gallery-load-more-btn {
+  background-color: var(--btn-load-more) !important;
+  font-size: 0.85rem !important;
+
+  &:disabled {
+    &:hover {
+      background-color: var(--btn-load-more) !important;
+    }
+  }
+
+  &:hover {
+    background-color: var(--btn-load-more-hover) !important;
+  }
+}
diff --git a/frontend/src/features/gallery/ImageGallery.tsx b/frontend/src/features/gallery/ImageGallery.tsx
index c81e5b4167..70ccdf54a9 100644
--- a/frontend/src/features/gallery/ImageGallery.tsx
+++ b/frontend/src/features/gallery/ImageGallery.tsx
@@ -1,14 +1,17 @@
-import { Button, Center, Flex, Text } from '@chakra-ui/react';
+import { Button } from '@chakra-ui/react';
+import { useHotkeys } from 'react-hotkeys-hook';
+import { MdPhotoLibrary } from 'react-icons/md';
 import { requestImages } from '../../app/socketio/actions';
 import { RootState, useAppDispatch } from '../../app/store';
 import { useAppSelector } from '../../app/store';
+import { selectNextImage, selectPrevImage } from './gallerySlice';
 import HoverableImage from './HoverableImage';
 
 /**
  * Simple image gallery.
  */
 const ImageGallery = () => {
-  const { images, currentImageUuid } = useAppSelector(
+  const { images, currentImageUuid, areMoreImagesAvailable } = useAppSelector(
     (state: RootState) => state.gallery
   );
   const dispatch = useAppDispatch();
@@ -24,23 +27,57 @@ const ImageGallery = () => {
     dispatch(requestImages());
   };
 
-  return images.length ? (
-    <Flex direction={'column'} gap={2} pb={2}>
-      <Flex gap={2} wrap="wrap">
-        {images.map((image) => {
-          const { uuid } = image;
-          const isSelected = currentImageUuid === uuid;
-          return (
-            <HoverableImage key={uuid} image={image} isSelected={isSelected} />
-          );
-        })}
-      </Flex>
-      <Button onClick={handleClickLoadMore}>Load more...</Button>
-    </Flex>
-  ) : (
-    <Center height={'100%'} position={'relative'}>
-      <Text size={'xl'}>No images in gallery</Text>
-    </Center>
+  useHotkeys(
+    'left',
+    () => {
+      dispatch(selectPrevImage());
+    },
+    []
+  );
+
+  useHotkeys(
+    'right',
+    () => {
+      dispatch(selectNextImage());
+    },
+    []
+  );
+
+  return (
+    <div className="image-gallery-container">
+      {images.length ? (
+        <>
+          <p>
+            <strong>Your Invocations</strong>
+          </p>
+          <div className="image-gallery">
+            {images.map((image) => {
+              const { uuid } = image;
+              const isSelected = currentImageUuid === uuid;
+              return (
+                <HoverableImage
+                  key={uuid}
+                  image={image}
+                  isSelected={isSelected}
+                />
+              );
+            })}
+          </div>
+        </>
+      ) : (
+        <div className="image-gallery-container-placeholder">
+          <MdPhotoLibrary />
+          <p>No Images In Gallery</p>
+        </div>
+      )}
+      <Button
+        onClick={handleClickLoadMore}
+        isDisabled={!areMoreImagesAvailable}
+        className="image-gallery-load-more-btn"
+      >
+        {areMoreImagesAvailable ? 'Load More' : 'All Images Loaded'}
+      </Button>
+    </div>
   );
 };
 
diff --git a/frontend/src/features/gallery/ImageMetaDataViewer/ImageMetadataViewer.scss b/frontend/src/features/gallery/ImageMetaDataViewer/ImageMetadataViewer.scss
new file mode 100644
index 0000000000..4eb3dc5fce
--- /dev/null
+++ b/frontend/src/features/gallery/ImageMetaDataViewer/ImageMetadataViewer.scss
@@ -0,0 +1,20 @@
+@use '../../../styles/Mixins/' as *;
+
+.image-metadata-viewer {
+  width: 100%;
+  border-radius: 0.5rem;
+  padding: 1rem;
+  background-color: var(--metadata-bg-color);
+  overflow: scroll;
+  max-height: calc($app-content-height - 4rem);
+  z-index: 1;
+}
+
+.image-json-viewer {
+  border-radius: 0.5rem;
+  margin: 0 0.5rem 1rem 0.5rem;
+  padding: 1rem;
+  overflow-x: scroll;
+  word-break: break-all;
+  background-color: var(--metadata-json-bg-color);
+}
diff --git a/frontend/src/features/gallery/ImageMetaDataViewer/ImageMetadataViewer.tsx b/frontend/src/features/gallery/ImageMetaDataViewer/ImageMetadataViewer.tsx
new file mode 100644
index 0000000000..1e8f5011c9
--- /dev/null
+++ b/frontend/src/features/gallery/ImageMetaDataViewer/ImageMetadataViewer.tsx
@@ -0,0 +1,360 @@
+import {
+  Center,
+  Flex,
+  Heading,
+  IconButton,
+  Link,
+  Text,
+  Tooltip,
+} from '@chakra-ui/react';
+import { ExternalLinkIcon } from '@chakra-ui/icons';
+import { memo } from 'react';
+import { IoArrowUndoCircleOutline } from 'react-icons/io5';
+import { useAppDispatch } from '../../../app/store';
+import * as InvokeAI from '../../../app/invokeai';
+import {
+  setCfgScale,
+  setGfpganStrength,
+  setHeight,
+  setImg2imgStrength,
+  setInitialImagePath,
+  setMaskPath,
+  setPrompt,
+  setSampler,
+  setSeed,
+  setSeedWeights,
+  setShouldFitToWidthHeight,
+  setSteps,
+  setUpscalingLevel,
+  setUpscalingStrength,
+  setWidth,
+} from '../../options/optionsSlice';
+import promptToString from '../../../common/util/promptToString';
+import { seedWeightsToString } from '../../../common/util/seedWeightPairs';
+import { FaCopy } from 'react-icons/fa';
+
+type MetadataItemProps = {
+  isLink?: boolean;
+  label: string;
+  onClick?: () => void;
+  value: number | string | boolean;
+  labelPosition?: string;
+};
+
+/**
+ * Component to display an individual metadata item or parameter.
+ */
+const MetadataItem = ({
+  label,
+  value,
+  onClick,
+  isLink,
+  labelPosition,
+}: MetadataItemProps) => {
+  return (
+    <Flex gap={2}>
+      {onClick && (
+        <Tooltip label={`Recall ${label}`}>
+          <IconButton
+            aria-label="Use this parameter"
+            icon={<IoArrowUndoCircleOutline />}
+            size={'xs'}
+            variant={'ghost'}
+            fontSize={20}
+            onClick={onClick}
+          />
+        </Tooltip>
+      )}
+      <Flex direction={labelPosition ? 'column' : 'row'}>
+        <Text fontWeight={'semibold'} whiteSpace={'pre-wrap'} pr={2}>
+          {label}:
+        </Text>
+        {isLink ? (
+          <Link href={value.toString()} isExternal wordBreak={'break-all'}>
+            {value.toString()} <ExternalLinkIcon mx="2px" />
+          </Link>
+        ) : (
+          <Text overflowY={'scroll'} wordBreak={'break-all'}>
+            {value.toString()}
+          </Text>
+        )}
+      </Flex>
+    </Flex>
+  );
+};
+
+type ImageMetadataViewerProps = {
+  image: InvokeAI.Image;
+  styleClass?: string;
+};
+
+// TODO: I don't know if this is needed.
+const memoEqualityCheck = (
+  prev: ImageMetadataViewerProps,
+  next: ImageMetadataViewerProps
+) => prev.image.uuid === next.image.uuid;
+
+// TODO: Show more interesting information in this component.
+
+/**
+ * Image metadata viewer overlays currently selected image and provides
+ * access to any of its metadata for use in processing.
+ */
+const ImageMetadataViewer = memo(
+  ({ image, styleClass }: ImageMetadataViewerProps) => {
+    const dispatch = useAppDispatch();
+    // const jsonBgColor = useColorModeValue('blackAlpha.100', 'whiteAlpha.100');
+
+    const metadata = image?.metadata?.image || {};
+    const {
+      type,
+      postprocessing,
+      sampler,
+      prompt,
+      seed,
+      variations,
+      steps,
+      cfg_scale,
+      seamless,
+      width,
+      height,
+      strength,
+      fit,
+      init_image_path,
+      mask_image_path,
+      orig_path,
+      scale,
+    } = metadata;
+
+    const metadataJSON = JSON.stringify(metadata, null, 2);
+
+    return (
+      <div className={`image-metadata-viewer ${styleClass}`}>
+        <Flex gap={1} direction={'column'} width={'100%'}>
+          <Flex gap={2}>
+            <Text fontWeight={'semibold'}>File:</Text>
+            <Link href={image.url} isExternal>
+              {image.url}
+              <ExternalLinkIcon mx="2px" />
+            </Link>
+          </Flex>
+          {Object.keys(metadata).length > 0 ? (
+            <>
+              {type && <MetadataItem label="Generation type" value={type} />}
+              {['esrgan', 'gfpgan'].includes(type) && (
+                <MetadataItem label="Original image" value={orig_path} />
+              )}
+              {type === 'gfpgan' && strength !== undefined && (
+                <MetadataItem
+                  label="Fix faces strength"
+                  value={strength}
+                  onClick={() => dispatch(setGfpganStrength(strength))}
+                />
+              )}
+              {type === 'esrgan' && scale !== undefined && (
+                <MetadataItem
+                  label="Upscaling scale"
+                  value={scale}
+                  onClick={() => dispatch(setUpscalingLevel(scale))}
+                />
+              )}
+              {type === 'esrgan' && strength !== undefined && (
+                <MetadataItem
+                  label="Upscaling strength"
+                  value={strength}
+                  onClick={() => dispatch(setUpscalingStrength(strength))}
+                />
+              )}
+              {prompt && (
+                <MetadataItem
+                  label="Prompt"
+                  labelPosition="top"
+                  value={promptToString(prompt)}
+                  onClick={() => dispatch(setPrompt(prompt))}
+                />
+              )}
+              {seed !== undefined && (
+                <MetadataItem
+                  label="Seed"
+                  value={seed}
+                  onClick={() => dispatch(setSeed(seed))}
+                />
+              )}
+              {sampler && (
+                <MetadataItem
+                  label="Sampler"
+                  value={sampler}
+                  onClick={() => dispatch(setSampler(sampler))}
+                />
+              )}
+              {steps && (
+                <MetadataItem
+                  label="Steps"
+                  value={steps}
+                  onClick={() => dispatch(setSteps(steps))}
+                />
+              )}
+              {cfg_scale !== undefined && (
+                <MetadataItem
+                  label="CFG scale"
+                  value={cfg_scale}
+                  onClick={() => dispatch(setCfgScale(cfg_scale))}
+                />
+              )}
+              {variations && variations.length > 0 && (
+                <MetadataItem
+                  label="Seed-weight pairs"
+                  value={seedWeightsToString(variations)}
+                  onClick={() =>
+                    dispatch(setSeedWeights(seedWeightsToString(variations)))
+                  }
+                />
+              )}
+              {seamless && (
+                <MetadataItem
+                  label="Seamless"
+                  value={seamless}
+                  onClick={() => dispatch(setWidth(seamless))}
+                />
+              )}
+              {width && (
+                <MetadataItem
+                  label="Width"
+                  value={width}
+                  onClick={() => dispatch(setWidth(width))}
+                />
+              )}
+              {height && (
+                <MetadataItem
+                  label="Height"
+                  value={height}
+                  onClick={() => dispatch(setHeight(height))}
+                />
+              )}
+              {init_image_path && (
+                <MetadataItem
+                  label="Initial image"
+                  value={init_image_path}
+                  isLink
+                  onClick={() => dispatch(setInitialImagePath(init_image_path))}
+                />
+              )}
+              {mask_image_path && (
+                <MetadataItem
+                  label="Mask image"
+                  value={mask_image_path}
+                  isLink
+                  onClick={() => dispatch(setMaskPath(mask_image_path))}
+                />
+              )}
+              {type === 'img2img' && strength && (
+                <MetadataItem
+                  label="Image to image strength"
+                  value={strength}
+                  onClick={() => dispatch(setImg2imgStrength(strength))}
+                />
+              )}
+              {fit && (
+                <MetadataItem
+                  label="Image to image fit"
+                  value={fit}
+                  onClick={() => dispatch(setShouldFitToWidthHeight(fit))}
+                />
+              )}
+              {postprocessing && postprocessing.length > 0 && (
+                <>
+                  <Heading size={'sm'}>Postprocessing</Heading>
+                  {postprocessing.map(
+                    (
+                      postprocess: InvokeAI.PostProcessedImageMetadata,
+                      i: number
+                    ) => {
+                      if (postprocess.type === 'esrgan') {
+                        const { scale, strength } = postprocess;
+                        return (
+                          <Flex
+                            key={i}
+                            pl={'2rem'}
+                            gap={1}
+                            direction={'column'}
+                          >
+                            <Text size={'md'}>{`${
+                              i + 1
+                            }: Upscale (ESRGAN)`}</Text>
+                            <MetadataItem
+                              label="Scale"
+                              value={scale}
+                              onClick={() => dispatch(setUpscalingLevel(scale))}
+                            />
+                            <MetadataItem
+                              label="Strength"
+                              value={strength}
+                              onClick={() =>
+                                dispatch(setUpscalingStrength(strength))
+                              }
+                            />
+                          </Flex>
+                        );
+                      } else if (postprocess.type === 'gfpgan') {
+                        const { strength } = postprocess;
+                        return (
+                          <Flex
+                            key={i}
+                            pl={'2rem'}
+                            gap={1}
+                            direction={'column'}
+                          >
+                            <Text size={'md'}>{`${
+                              i + 1
+                            }: Face restoration (GFPGAN)`}</Text>
+
+                            <MetadataItem
+                              label="Strength"
+                              value={strength}
+                              onClick={() =>
+                                dispatch(setGfpganStrength(strength))
+                              }
+                            />
+                          </Flex>
+                        );
+                      }
+                    }
+                  )}
+                </>
+              )}
+              <Flex gap={2} direction={'column'}>
+                <Flex gap={2}>
+                  <Tooltip label={`Copy metadata JSON`}>
+                    <IconButton
+                      aria-label="Copy metadata JSON"
+                      icon={<FaCopy />}
+                      size={'xs'}
+                      variant={'ghost'}
+                      fontSize={14}
+                      onClick={() =>
+                        navigator.clipboard.writeText(metadataJSON)
+                      }
+                    />
+                  </Tooltip>
+                  <Text fontWeight={'semibold'}>Metadata JSON:</Text>
+                </Flex>
+                <div className={'image-json-viewer'}>
+                  <pre>{metadataJSON}</pre>
+                </div>
+              </Flex>
+            </>
+          ) : (
+            <Center width={'100%'} pt={10}>
+              <Text fontSize={'lg'} fontWeight="semibold">
+                No metadata available
+              </Text>
+            </Center>
+          )}
+        </Flex>
+      </div>
+    );
+  },
+  memoEqualityCheck
+);
+
+export default ImageMetadataViewer;
diff --git a/frontend/src/features/gallery/ImageMetadataViewer.tsx b/frontend/src/features/gallery/ImageMetadataViewer.tsx
deleted file mode 100644
index 81300b1ced..0000000000
--- a/frontend/src/features/gallery/ImageMetadataViewer.tsx
+++ /dev/null
@@ -1,321 +0,0 @@
-import {
-  Box,
-  Center,
-  Flex,
-  IconButton,
-  Link,
-  Text,
-  Tooltip,
-  useColorModeValue,
-} from '@chakra-ui/react';
-import { ExternalLinkIcon } from '@chakra-ui/icons';
-import { memo } from 'react';
-import { IoArrowUndoCircleOutline } from 'react-icons/io5';
-import { useAppDispatch } from '../../app/store';
-import * as InvokeAI from '../../app/invokeai';
-import {
-  setCfgScale,
-  setGfpganStrength,
-  setHeight,
-  setImg2imgStrength,
-  setInitialImagePath,
-  setMaskPath,
-  setPrompt,
-  setSampler,
-  setSeed,
-  setSeedWeights,
-  setShouldFitToWidthHeight,
-  setSteps,
-  setUpscalingLevel,
-  setUpscalingStrength,
-  setWidth,
-} from '../options/optionsSlice';
-import promptToString from '../../common/util/promptToString';
-import { seedWeightsToString } from '../../common/util/seedWeightPairs';
-import { FaCopy } from 'react-icons/fa';
-
-type MetadataItemProps = {
-  isLink?: boolean;
-  label: string;
-  onClick?: () => void;
-  value: number | string | boolean;
-};
-
-/**
- * Component to display an individual metadata item or parameter.
- */
-const MetadataItem = ({ label, value, onClick, isLink }: MetadataItemProps) => {
-  return (
-    <Flex gap={2}>
-      {onClick && (
-        <Tooltip label={`Recall ${label}`}>
-          <IconButton
-            aria-label="Use this parameter"
-            icon={<IoArrowUndoCircleOutline />}
-            size={'xs'}
-            variant={'ghost'}
-            fontSize={20}
-            onClick={onClick}
-          />
-        </Tooltip>
-      )}
-      <Text fontWeight={'semibold'} whiteSpace={'nowrap'}>
-        {label}:
-      </Text>
-      {isLink ? (
-        <Link href={value.toString()} isExternal wordBreak={'break-all'}>
-          {value.toString()} <ExternalLinkIcon mx="2px" />
-        </Link>
-      ) : (
-        <Text maxHeight={100} overflowY={'scroll'} wordBreak={'break-all'}>
-          {value.toString()}
-        </Text>
-      )}
-    </Flex>
-  );
-};
-
-type ImageMetadataViewerProps = {
-  image: InvokeAI.Image;
-};
-
-// TODO: I don't know if this is needed.
-const memoEqualityCheck = (
-  prev: ImageMetadataViewerProps,
-  next: ImageMetadataViewerProps
-) => prev.image.uuid === next.image.uuid;
-
-// TODO: Show more interesting information in this component.
-
-/**
- * Image metadata viewer overlays currently selected image and provides
- * access to any of its metadata for use in processing.
- */
-const ImageMetadataViewer = memo(({ image }: ImageMetadataViewerProps) => {
-  const dispatch = useAppDispatch();
-  const jsonBgColor = useColorModeValue('blackAlpha.100', 'whiteAlpha.100');
-
-  const metadata = image?.metadata?.image || {};
-  const {
-    type,
-    postprocessing,
-    sampler,
-    prompt,
-    seed,
-    variations,
-    steps,
-    cfg_scale,
-    seamless,
-    width,
-    height,
-    strength,
-    fit,
-    init_image_path,
-    mask_image_path,
-    orig_path,
-    scale,
-  } = metadata;
-
-  const metadataJSON = JSON.stringify(metadata, null, 2);
-
-  return (
-    <Flex gap={1} direction={'column'} overflowY={'scroll'} width={'100%'}>
-      <Flex gap={2}>
-        <Text fontWeight={'semibold'}>File:</Text>
-        <Link href={image.url} isExternal>
-          {image.url}
-          <ExternalLinkIcon mx="2px" />
-        </Link>
-      </Flex>
-      {Object.keys(metadata).length > 0 ? (
-        <>
-          {type && <MetadataItem label="Type" value={type} />}
-          {['esrgan', 'gfpgan'].includes(type) && (
-            <MetadataItem label="Original image" value={orig_path} isLink />
-          )}
-          {type === 'gfpgan' && strength && (
-            <MetadataItem
-              label="Fix faces strength"
-              value={strength}
-              onClick={() => dispatch(setGfpganStrength(strength))}
-            />
-          )}
-          {type === 'esrgan' && scale && (
-            <MetadataItem
-              label="Upscaling scale"
-              value={scale}
-              onClick={() => dispatch(setUpscalingLevel(scale))}
-            />
-          )}
-          {type === 'esrgan' && strength && (
-            <MetadataItem
-              label="Upscaling strength"
-              value={strength}
-              onClick={() => dispatch(setUpscalingStrength(strength))}
-            />
-          )}
-          {prompt && (
-            <MetadataItem
-              label="Prompt"
-              value={promptToString(prompt)}
-              onClick={() => dispatch(setPrompt(prompt))}
-            />
-          )}
-          {seed && (
-            <MetadataItem
-              label="Seed"
-              value={seed}
-              onClick={() => dispatch(setSeed(seed))}
-            />
-          )}
-          {sampler && (
-            <MetadataItem
-              label="Sampler"
-              value={sampler}
-              onClick={() => dispatch(setSampler(sampler))}
-            />
-          )}
-          {steps && (
-            <MetadataItem
-              label="Steps"
-              value={steps}
-              onClick={() => dispatch(setSteps(steps))}
-            />
-          )}
-          {cfg_scale && (
-            <MetadataItem
-              label="CFG scale"
-              value={cfg_scale}
-              onClick={() => dispatch(setCfgScale(cfg_scale))}
-            />
-          )}
-          {variations && variations.length > 0 && (
-            <MetadataItem
-              label="Seed-weight pairs"
-              value={seedWeightsToString(variations)}
-              onClick={() =>
-                dispatch(setSeedWeights(seedWeightsToString(variations)))
-              }
-            />
-          )}
-          {seamless && (
-            <MetadataItem
-              label="Seamless"
-              value={seamless}
-              onClick={() => dispatch(setWidth(seamless))}
-            />
-          )}
-          {width && (
-            <MetadataItem
-              label="Width"
-              value={width}
-              onClick={() => dispatch(setWidth(width))}
-            />
-          )}
-          {height && (
-            <MetadataItem
-              label="Height"
-              value={height}
-              onClick={() => dispatch(setHeight(height))}
-            />
-          )}
-          {init_image_path && (
-            <MetadataItem
-              label="Initial image"
-              value={init_image_path}
-              isLink
-              onClick={() => dispatch(setInitialImagePath(init_image_path))}
-            />
-          )}
-          {mask_image_path && (
-            <MetadataItem
-              label="Mask image"
-              value={mask_image_path}
-              isLink
-              onClick={() => dispatch(setMaskPath(mask_image_path))}
-            />
-          )}
-          {type === 'img2img' && strength && (
-            <MetadataItem
-              label="Image to image strength"
-              value={strength}
-              onClick={() => dispatch(setImg2imgStrength(strength))}
-            />
-          )}
-          {fit && (
-            <MetadataItem
-              label="Image to image fit"
-              value={fit}
-              onClick={() => dispatch(setShouldFitToWidthHeight(fit))}
-            />
-          )}
-          {postprocessing &&
-            postprocessing.length > 0 &&
-            postprocessing.map(
-              (postprocess: InvokeAI.PostProcessedImageMetadata) => {
-                if (postprocess.type === 'esrgan') {
-                  const { scale, strength } = postprocess;
-                  return (
-                    <>
-                      <MetadataItem
-                        label="Upscaling scale"
-                        value={scale}
-                        onClick={() => dispatch(setUpscalingLevel(scale))}
-                      />
-                      <MetadataItem
-                        label="Upscaling strength"
-                        value={strength}
-                        onClick={() => dispatch(setUpscalingStrength(strength))}
-                      />
-                    </>
-                  );
-                } else if (postprocess.type === 'gfpgan') {
-                  const { strength } = postprocess;
-                  return (
-                    <MetadataItem
-                      label="Fix faces strength"
-                      value={strength}
-                      onClick={() => dispatch(setGfpganStrength(strength))}
-                    />
-                  );
-                }
-              }
-            )}
-          <Flex gap={2} direction={'column'}>
-            <Flex gap={2}>
-              <Tooltip label={`Copy metadata JSON`}>
-                <IconButton
-                  aria-label="Copy metadata JSON"
-                  icon={<FaCopy />}
-                  size={'xs'}
-                  variant={'ghost'}
-                  fontSize={14}
-                  onClick={() => navigator.clipboard.writeText(metadataJSON)}
-                />
-              </Tooltip>
-              <Text fontWeight={'semibold'}>Metadata JSON:</Text>
-            </Flex>
-            <Box
-              // maxHeight={200}
-              overflow={'scroll'}
-              flexGrow={3}
-              wordBreak={'break-all'}
-              bgColor={jsonBgColor}
-              padding={2}
-            >
-              <pre>{metadataJSON}</pre>
-            </Box>
-          </Flex>
-        </>
-      ) : (
-        <Center width={'100%'} pt={10}>
-          <Text fontSize={'lg'} fontWeight="semibold">
-            No metadata available
-          </Text>
-        </Center>
-      )}
-    </Flex>
-  );
-}, memoEqualityCheck);
-
-export default ImageMetadataViewer;
diff --git a/frontend/src/features/gallery/InvokePopover.scss b/frontend/src/features/gallery/InvokePopover.scss
new file mode 100644
index 0000000000..a4579c0eda
--- /dev/null
+++ b/frontend/src/features/gallery/InvokePopover.scss
@@ -0,0 +1,35 @@
+.popover-content {
+  background-color: var(--background-color-secondary) !important;
+  border: none !important;
+  border-top: 0px;
+  background-color: var(--tab-hover-color);
+  border-radius: 0 0 0.4rem 0.4rem;
+}
+
+.popover-arrow {
+  background: var(--tab-hover-color) !important;
+  box-shadow: none;
+}
+
+.popover-options {
+  background: var(--tab-panel-bg);
+  border-radius: 0 0 0.4rem 0.4rem;
+  border: 2px solid var(--tab-hover-color);
+  padding: .75rem 1rem .75rem 1rem;
+  display: grid;
+  grid-template-rows: repeat(auto-fill, 1fr);
+  grid-row-gap: 0.5rem;
+  justify-content: space-between;
+}
+
+.popover-header {
+  background: var(--tab-hover-color);
+  border-radius: 0.4rem 0.4rem 0 0;
+  font-weight: bold;
+  border: none;
+  padding-left: 1rem !important;
+}
+
+.upscale-popover {
+  width: 23rem !important;
+}
diff --git a/frontend/src/features/gallery/InvokePopover.tsx b/frontend/src/features/gallery/InvokePopover.tsx
new file mode 100644
index 0000000000..17fac157bc
--- /dev/null
+++ b/frontend/src/features/gallery/InvokePopover.tsx
@@ -0,0 +1,45 @@
+import {
+  Box,
+  Popover,
+  PopoverArrow,
+  PopoverContent,
+  PopoverHeader,
+  PopoverTrigger,
+} from '@chakra-ui/react';
+import React, { ReactNode } from 'react';
+
+type PopoverProps = {
+  title?: string;
+  delay?: number;
+  styleClass?: string;
+  popoverOptions?: ReactNode;
+  actionButton?: ReactNode;
+  children: ReactNode;
+};
+
+const InvokePopover = ({
+  title = 'Popup',
+  styleClass,
+  delay = 50,
+  popoverOptions,
+  actionButton,
+  children,
+}: PopoverProps) => {
+  return (
+    <Popover trigger={'hover'} closeDelay={delay}>
+      <PopoverTrigger>
+        <Box>{children}</Box>
+      </PopoverTrigger>
+      <PopoverContent className={`popover-content ${styleClass}`}>
+        <PopoverArrow className="popover-arrow" />
+        <PopoverHeader className="popover-header">{title}</PopoverHeader>
+        <div className="popover-options">
+          {popoverOptions ? popoverOptions : null}
+          {actionButton}
+        </div>
+      </PopoverContent>
+    </Popover>
+  );
+};
+
+export default InvokePopover;
diff --git a/frontend/src/features/gallery/gallerySlice.ts b/frontend/src/features/gallery/gallerySlice.ts
index ba20a9780f..415b80d326 100644
--- a/frontend/src/features/gallery/gallerySlice.ts
+++ b/frontend/src/features/gallery/gallerySlice.ts
@@ -1,6 +1,6 @@
 import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
-import { clamp } from 'lodash';
+import _, { clamp } from 'lodash';
 import * as InvokeAI from '../../app/invokeai';
 
 export interface GalleryState {
@@ -8,15 +8,15 @@ export interface GalleryState {
   currentImageUuid: string;
   images: Array<InvokeAI.Image>;
   intermediateImage?: InvokeAI.Image;
-  nextPage: number;
-  offset: number;
+  areMoreImagesAvailable: boolean;
+  latest_mtime?: number;
+  earliest_mtime?: number;
 }
 
 const initialState: GalleryState = {
   currentImageUuid: '',
   images: [],
-  nextPage: 1,
-  offset: 0,
+  areMoreImagesAvailable: true,
 };
 
 export const gallerySlice = createSlice({
@@ -71,11 +71,13 @@ export const gallerySlice = createSlice({
       state.images = newImages;
     },
     addImage: (state, action: PayloadAction<InvokeAI.Image>) => {
-      state.images.unshift(action.payload);
-      state.currentImageUuid = action.payload.uuid;
+      const newImage = action.payload;
+      const { uuid, mtime } = newImage;
+      state.images.unshift(newImage);
+      state.currentImageUuid = uuid;
       state.intermediateImage = undefined;
-      state.currentImage = action.payload;
-      state.offset += 1
+      state.currentImage = newImage;
+      state.latest_mtime = mtime;
     },
     setIntermediateImage: (state, action: PayloadAction<InvokeAI.Image>) => {
       state.intermediateImage = action.payload;
@@ -83,24 +85,57 @@ export const gallerySlice = createSlice({
     clearIntermediateImage: (state) => {
       state.intermediateImage = undefined;
     },
+    selectNextImage: (state) => {
+      const { images, currentImage } = state;
+      if (currentImage) {
+        const currentImageIndex = images.findIndex(
+          (i) => i.uuid === currentImage.uuid
+        );
+        if (_.inRange(currentImageIndex, 0, images.length)) {
+          const newCurrentImage = images[currentImageIndex + 1];
+          state.currentImage = newCurrentImage;
+          state.currentImageUuid = newCurrentImage.uuid;
+        }
+      }
+    },
+    selectPrevImage: (state) => {
+      const { images, currentImage } = state;
+      if (currentImage) {
+        const currentImageIndex = images.findIndex(
+          (i) => i.uuid === currentImage.uuid
+        );
+        if (_.inRange(currentImageIndex, 1, images.length + 1)) {
+          const newCurrentImage = images[currentImageIndex - 1];
+          state.currentImage = newCurrentImage;
+          state.currentImageUuid = newCurrentImage.uuid;
+        }
+      }
+    },
     addGalleryImages: (
       state,
       action: PayloadAction<{
         images: Array<InvokeAI.Image>;
-        nextPage: number;
-        offset: number;
+        areMoreImagesAvailable: boolean;
       }>
     ) => {
-      const { images, nextPage, offset } = action.payload;
-      if (images.length) {
-        const newCurrentImage = images[0];
+      const { images, areMoreImagesAvailable } = action.payload;
+      if (images.length > 0) {
         state.images = state.images
           .concat(images)
           .sort((a, b) => b.mtime - a.mtime);
-        state.currentImage = newCurrentImage;
-        state.currentImageUuid = newCurrentImage.uuid;
-        state.nextPage = nextPage;
-        state.offset = offset;
+
+        if (!state.currentImage) {
+          const newCurrentImage = images[0];
+          state.currentImage = newCurrentImage;
+          state.currentImageUuid = newCurrentImage.uuid;
+        }
+
+        // keep track of the timestamps of latest and earliest images received
+        state.latest_mtime = images[0].mtime;
+        state.earliest_mtime = images[images.length - 1].mtime;
+      }
+      if (areMoreImagesAvailable !== undefined) {
+        state.areMoreImagesAvailable = areMoreImagesAvailable;
       }
     },
   },
@@ -113,6 +148,8 @@ export const {
   setCurrentImage,
   addGalleryImages,
   setIntermediateImage,
+  selectNextImage,
+  selectPrevImage,
 } = gallerySlice.actions;
 
 export default gallerySlice.reducer;
diff --git a/frontend/src/features/options/AccordionItems/AdvancedSettings.scss b/frontend/src/features/options/AccordionItems/AdvancedSettings.scss
new file mode 100644
index 0000000000..fd940e8182
--- /dev/null
+++ b/frontend/src/features/options/AccordionItems/AdvancedSettings.scss
@@ -0,0 +1,38 @@
+@use '../../../styles/Mixins/' as *;
+
+.advanced-settings {
+  display: grid;
+  row-gap: 0.5rem;
+}
+
+.advanced-settings-item {
+  display: grid;
+  max-width: $options-bar-max-width;
+  border: none;
+  border-top: 0px;
+  border-radius: 0.4rem;
+
+  &[aria-expanded='true'] {
+    background-color: var(--tab-hover-color);
+    border-radius: 0 0 0.4rem 0.4rem;
+  }
+}
+
+.advanced-settings-panel {
+  background-color: var(--tab-panel-bg);
+  border-radius: 0 0 0.4rem 0.4rem;
+  border: 2px solid var(--tab-hover-color);
+}
+
+.advanced-settings-header {
+  border-radius: 0.4rem;
+
+  &[aria-expanded='true'] {
+    background-color: var(--tab-color);
+    border-radius: 0.4rem 0.4rem 0 0;
+  }
+
+  &:hover {
+    background-color: var(--tab-hover-color) !important;
+  }
+}
diff --git a/frontend/src/features/options/AccordionItems/InvokeAccordionItem.tsx b/frontend/src/features/options/AccordionItems/InvokeAccordionItem.tsx
new file mode 100644
index 0000000000..30d6f2a5e8
--- /dev/null
+++ b/frontend/src/features/options/AccordionItems/InvokeAccordionItem.tsx
@@ -0,0 +1,34 @@
+import {
+  AccordionButton,
+  AccordionIcon,
+  AccordionItem,
+  AccordionPanel,
+} from '@chakra-ui/react';
+import React, { ReactElement } from 'react';
+import { Feature } from '../../../app/features';
+import GuideIcon from '../../../common/components/GuideIcon';
+
+export interface InvokeAccordionItemProps {
+  header: ReactElement;
+  feature: Feature;
+  options: ReactElement;
+}
+
+export default function InvokeAccordionItem(props: InvokeAccordionItemProps) {
+  const { header, feature, options } = props;
+
+  return (
+    <AccordionItem className="advanced-settings-item">
+      <h2>
+        <AccordionButton className="advanced-settings-header">
+          {header}
+          <GuideIcon feature={feature} />
+          <AccordionIcon />
+        </AccordionButton>
+      </h2>
+      <AccordionPanel className="advanced-settings-panel">
+        {options}
+      </AccordionPanel>
+    </AccordionItem>
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/FaceRestore/FaceRestore.tsx b/frontend/src/features/options/AdvancedOptions/FaceRestore/FaceRestore.tsx
new file mode 100644
index 0000000000..4566dca3d3
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/FaceRestore/FaceRestore.tsx
@@ -0,0 +1,40 @@
+import { Flex } from '@chakra-ui/layout';
+import React, { ChangeEvent } from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAISwitch from '../../../../common/components/IAISwitch';
+import { setShouldRunGFPGAN } from '../../optionsSlice';
+
+export default function FaceRestore() {
+  const isGFPGANAvailable = useAppSelector(
+    (state: RootState) => state.system.isGFPGANAvailable
+  );
+
+  const shouldRunGFPGAN = useAppSelector(
+    (state: RootState) => state.options.shouldRunGFPGAN
+  );
+
+  const dispatch = useAppDispatch();
+
+  const handleChangeShouldRunGFPGAN = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldRunGFPGAN(e.target.checked));
+
+  return (
+    <Flex
+      justifyContent={'space-between'}
+      alignItems={'center'}
+      width={'100%'}
+      mr={2}
+    >
+      <p>Restore Face</p>
+      <IAISwitch
+        isDisabled={!isGFPGANAvailable}
+        isChecked={shouldRunGFPGAN}
+        onChange={handleChangeShouldRunGFPGAN}
+      />
+    </Flex>
+  );
+}
diff --git a/frontend/src/features/options/GFPGANOptions.tsx b/frontend/src/features/options/AdvancedOptions/FaceRestore/FaceRestoreOptions.tsx
similarity index 67%
rename from frontend/src/features/options/GFPGANOptions.tsx
rename to frontend/src/features/options/AdvancedOptions/FaceRestore/FaceRestoreOptions.tsx
index 463f3b1686..172d98d86f 100644
--- a/frontend/src/features/options/GFPGANOptions.tsx
+++ b/frontend/src/features/options/AdvancedOptions/FaceRestore/FaceRestoreOptions.tsx
@@ -1,15 +1,14 @@
 import { Flex } from '@chakra-ui/react';
 
-import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/store';
-
-import { OptionsState, setGfpganStrength } from '../options/optionsSlice';
+import { RootState } from '../../../../app/store';
+import { useAppDispatch, useAppSelector } from '../../../../app/store';
 
+import { OptionsState, setGfpganStrength } from '../../optionsSlice';
 
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
-import { SystemState } from '../system/systemSlice';
-import SDNumberInput from '../../common/components/SDNumberInput';
+import { SystemState } from '../../../system/systemSlice';
+import IAINumberInput from '../../../../common/components/IAINumberInput';
 
 const optionsSelector = createSelector(
   (state: RootState) => state.options,
@@ -42,17 +41,16 @@ const systemSelector = createSelector(
 /**
  * Displays face-fixing/GFPGAN options (strength).
  */
-const GFPGANOptions = () => {
+const FaceRestoreOptions = () => {
   const dispatch = useAppDispatch();
   const { gfpganStrength } = useAppSelector(optionsSelector);
   const { isGFPGANAvailable } = useAppSelector(systemSelector);
 
-  const handleChangeStrength = (v: string | number) =>
-    dispatch(setGfpganStrength(Number(v)));
+  const handleChangeStrength = (v: number) => dispatch(setGfpganStrength(v));
 
   return (
     <Flex direction={'column'} gap={2}>
-      <SDNumberInput
+      <IAINumberInput
         isDisabled={!isGFPGANAvailable}
         label="Strength"
         step={0.05}
@@ -60,9 +58,11 @@ const GFPGANOptions = () => {
         max={1}
         onChange={handleChangeStrength}
         value={gfpganStrength}
+        width="90px"
+        isInteger={false}
       />
     </Flex>
   );
 };
 
-export default GFPGANOptions;
+export default FaceRestoreOptions;
diff --git a/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageFit.tsx b/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageFit.tsx
new file mode 100644
index 0000000000..eaaa08dff4
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageFit.tsx
@@ -0,0 +1,27 @@
+import React, { ChangeEvent } from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAISwitch from '../../../../common/components/IAISwitch';
+import { setShouldFitToWidthHeight } from '../../optionsSlice';
+
+export default function ImageFit() {
+  const dispatch = useAppDispatch();
+
+  const shouldFitToWidthHeight = useAppSelector(
+    (state: RootState) => state.options.shouldFitToWidthHeight
+  );
+
+  const handleChangeFit = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldFitToWidthHeight(e.target.checked));
+
+  return (
+    <IAISwitch
+      label="Fit Initial Image To Output Size"
+      isChecked={shouldFitToWidthHeight}
+      onChange={handleChangeFit}
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageAccordion.tsx b/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageAccordion.tsx
new file mode 100644
index 0000000000..50edc235c4
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageAccordion.tsx
@@ -0,0 +1,39 @@
+import { Flex } from '@chakra-ui/layout';
+import React, { ChangeEvent } from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAISwitch from '../../../../common/components/IAISwitch';
+import { setShouldUseInitImage } from '../../optionsSlice';
+
+export default function ImageToImageAccordion() {
+  const dispatch = useAppDispatch();
+
+  const initialImagePath = useAppSelector(
+    (state: RootState) => state.options.initialImagePath
+  );
+
+  const shouldUseInitImage = useAppSelector(
+    (state: RootState) => state.options.shouldUseInitImage
+  );
+
+  const handleChangeShouldUseInitImage = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldUseInitImage(e.target.checked));
+  return (
+    <Flex
+      justifyContent={'space-between'}
+      alignItems={'center'}
+      width={'100%'}
+      mr={2}
+    >
+      <p>Image to Image</p>
+      <IAISwitch
+        isDisabled={!initialImagePath}
+        isChecked={shouldUseInitImage}
+        onChange={handleChangeShouldUseInitImage}
+      />
+    </Flex>
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageOptions.tsx b/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageOptions.tsx
new file mode 100644
index 0000000000..e0173cad8d
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageOptions.tsx
@@ -0,0 +1,19 @@
+import { Flex } from '@chakra-ui/react';
+import InitAndMaskImage from '../../InitAndMaskImage';
+import ImageFit from './ImageFit';
+import ImageToImageStrength from './ImageToImageStrength';
+
+/**
+ * Options for img2img generation (strength, fit, init/mask upload).
+ */
+const ImageToImageOptions = () => {
+  return (
+    <Flex direction={'column'} gap={2}>
+      <ImageToImageStrength />
+      <ImageFit />
+      <InitAndMaskImage />
+    </Flex>
+  );
+};
+
+export default ImageToImageOptions;
diff --git a/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageStrength.tsx b/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageStrength.tsx
new file mode 100644
index 0000000000..e5b895116c
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/ImageToImage/ImageToImageStrength.tsx
@@ -0,0 +1,38 @@
+import React from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAINumberInput from '../../../../common/components/IAINumberInput';
+import { setImg2imgStrength } from '../../optionsSlice';
+
+interface ImageToImageStrengthProps {
+  label?: string;
+  styleClass?: string;
+}
+
+export default function ImageToImageStrength(props: ImageToImageStrengthProps) {
+  const { label = 'Strength', styleClass } = props;
+  const img2imgStrength = useAppSelector(
+    (state: RootState) => state.options.img2imgStrength
+  );
+
+  const dispatch = useAppDispatch();
+
+  const handleChangeStrength = (v: number) => dispatch(setImg2imgStrength(v));
+
+  return (
+    <IAINumberInput
+      label={label}
+      step={0.01}
+      min={0.01}
+      max={0.99}
+      onChange={handleChangeStrength}
+      value={img2imgStrength}
+      width="90px"
+      isInteger={false}
+      styleClass={styleClass}
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Seed/Perlin.tsx b/frontend/src/features/options/AdvancedOptions/Seed/Perlin.tsx
new file mode 100644
index 0000000000..4b3df41305
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Seed/Perlin.tsx
@@ -0,0 +1,27 @@
+import React from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAINumberInput from '../../../../common/components/IAINumberInput';
+import { setPerlin } from '../../optionsSlice';
+
+export default function Perlin() {
+  const dispatch = useAppDispatch();
+  const perlin = useAppSelector((state: RootState) => state.options.perlin);
+
+  const handleChangePerlin = (v: number) => dispatch(setPerlin(v));
+
+  return (
+    <IAINumberInput
+      label="Perlin Noise"
+      min={0}
+      max={1}
+      step={0.05}
+      onChange={handleChangePerlin}
+      value={perlin}
+      isInteger={false}
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Seed/RandomizeSeed.tsx b/frontend/src/features/options/AdvancedOptions/Seed/RandomizeSeed.tsx
new file mode 100644
index 0000000000..904d82dcc2
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Seed/RandomizeSeed.tsx
@@ -0,0 +1,28 @@
+import React, { ChangeEvent } from 'react';
+
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAISwitch from '../../../../common/components/IAISwitch';
+import { setShouldRandomizeSeed } from '../../optionsSlice';
+
+export default function RandomizeSeed() {
+  const dispatch = useAppDispatch();
+
+  const shouldRandomizeSeed = useAppSelector(
+    (state: RootState) => state.options.shouldRandomizeSeed
+  );
+
+  const handleChangeShouldRandomizeSeed = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldRandomizeSeed(e.target.checked));
+
+  return (
+    <IAISwitch
+      label="Randomize Seed"
+      isChecked={shouldRandomizeSeed}
+      onChange={handleChangeShouldRandomizeSeed}
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Seed/Seed.tsx b/frontend/src/features/options/AdvancedOptions/Seed/Seed.tsx
new file mode 100644
index 0000000000..3fc33012cc
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Seed/Seed.tsx
@@ -0,0 +1,39 @@
+import React from 'react';
+import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../../../app/constants';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAINumberInput from '../../../../common/components/IAINumberInput';
+import { setSeed } from '../../optionsSlice';
+
+export default function Seed() {
+  const seed = useAppSelector((state: RootState) => state.options.seed);
+  const shouldRandomizeSeed = useAppSelector(
+    (state: RootState) => state.options.shouldRandomizeSeed
+  );
+  const shouldGenerateVariations = useAppSelector(
+    (state: RootState) => state.options.shouldGenerateVariations
+  );
+
+  const dispatch = useAppDispatch();
+
+  const handleChangeSeed = (v: number) => dispatch(setSeed(v));
+
+  return (
+    <IAINumberInput
+      label="Seed"
+      step={1}
+      precision={0}
+      flexGrow={1}
+      min={NUMPY_RAND_MIN}
+      max={NUMPY_RAND_MAX}
+      isDisabled={shouldRandomizeSeed}
+      isInvalid={seed < 0 && shouldGenerateVariations}
+      onChange={handleChangeSeed}
+      value={seed}
+      width="10rem"
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Seed/SeedOptions.tsx b/frontend/src/features/options/AdvancedOptions/Seed/SeedOptions.tsx
new file mode 100644
index 0000000000..c18004a4f2
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Seed/SeedOptions.tsx
@@ -0,0 +1,25 @@
+import { Flex } from '@chakra-ui/react';
+import RandomizeSeed from './RandomizeSeed';
+import Seed from './Seed';
+import ShuffleSeed from './ShuffleSeed';
+import Threshold from './Threshold';
+import Perlin from './Perlin';
+
+/**
+ * Seed & variation options. Includes iteration, seed, seed randomization, variation options.
+ */
+const SeedOptions = () => {
+  return (
+    <Flex gap={2} direction={'column'}>
+      <RandomizeSeed />
+      <Flex gap={2}>
+        <Seed />
+        <ShuffleSeed />
+      </Flex>
+      <Threshold />
+      <Perlin />
+    </Flex>
+  );
+};
+
+export default SeedOptions;
diff --git a/frontend/src/features/options/AdvancedOptions/Seed/ShuffleSeed.tsx b/frontend/src/features/options/AdvancedOptions/Seed/ShuffleSeed.tsx
new file mode 100644
index 0000000000..d2b235ddd0
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Seed/ShuffleSeed.tsx
@@ -0,0 +1,30 @@
+import { Button } from '@chakra-ui/react';
+import React from 'react';
+import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../../../app/constants';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import randomInt from '../../../../common/util/randomInt';
+import { setSeed } from '../../optionsSlice';
+
+export default function ShuffleSeed() {
+  const dispatch = useAppDispatch();
+  const shouldRandomizeSeed = useAppSelector(
+    (state: RootState) => state.options.shouldRandomizeSeed
+  );
+
+  const handleClickRandomizeSeed = () =>
+    dispatch(setSeed(randomInt(NUMPY_RAND_MIN, NUMPY_RAND_MAX)));
+
+  return (
+    <Button
+      size={'sm'}
+      isDisabled={shouldRandomizeSeed}
+      onClick={handleClickRandomizeSeed}
+    >
+      <p>Shuffle</p>
+    </Button>
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Seed/Threshold.tsx b/frontend/src/features/options/AdvancedOptions/Seed/Threshold.tsx
new file mode 100644
index 0000000000..1b0f0e106e
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Seed/Threshold.tsx
@@ -0,0 +1,29 @@
+import React from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAINumberInput from '../../../../common/components/IAINumberInput';
+import { setThreshold } from '../../optionsSlice';
+
+export default function Threshold() {
+  const dispatch = useAppDispatch();
+  const threshold = useAppSelector(
+    (state: RootState) => state.options.threshold
+  );
+
+  const handleChangeThreshold = (v: number) => dispatch(setThreshold(v));
+
+  return (
+    <IAINumberInput
+      label="Threshold"
+      min={0}
+      max={1000}
+      step={0.1}
+      onChange={handleChangeThreshold}
+      value={threshold}
+      isInteger={false}
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Upscale/Upscale.tsx b/frontend/src/features/options/AdvancedOptions/Upscale/Upscale.tsx
new file mode 100644
index 0000000000..affa7aee41
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Upscale/Upscale.tsx
@@ -0,0 +1,38 @@
+import { Flex } from '@chakra-ui/layout';
+import React, { ChangeEvent } from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAISwitch from '../../../../common/components/IAISwitch';
+import { setShouldRunESRGAN } from '../../optionsSlice';
+
+export default function Upscale() {
+  const isESRGANAvailable = useAppSelector(
+    (state: RootState) => state.system.isESRGANAvailable
+  );
+
+  const shouldRunESRGAN = useAppSelector(
+    (state: RootState) => state.options.shouldRunESRGAN
+  );
+
+  const dispatch = useAppDispatch();
+  const handleChangeShouldRunESRGAN = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldRunESRGAN(e.target.checked));
+  return (
+    <Flex
+      justifyContent={'space-between'}
+      alignItems={'center'}
+      width={'100%'}
+      mr={2}
+    >
+      <p>Upscale</p>
+      <IAISwitch
+        isDisabled={!isESRGANAvailable}
+        isChecked={shouldRunESRGAN}
+        onChange={handleChangeShouldRunESRGAN}
+      />
+    </Flex>
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Upscale/UpscaleOptions.scss b/frontend/src/features/options/AdvancedOptions/Upscale/UpscaleOptions.scss
new file mode 100644
index 0000000000..1d89c031b8
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Upscale/UpscaleOptions.scss
@@ -0,0 +1,5 @@
+.upscale-options {
+  display: grid;
+  grid-template-columns: auto 1fr;
+  column-gap: 1rem;
+}
diff --git a/frontend/src/features/options/ESRGANOptions.tsx b/frontend/src/features/options/AdvancedOptions/Upscale/UpscaleOptions.tsx
similarity index 70%
rename from frontend/src/features/options/ESRGANOptions.tsx
rename to frontend/src/features/options/AdvancedOptions/Upscale/UpscaleOptions.tsx
index 71bbd16182..482f773aa0 100644
--- a/frontend/src/features/options/ESRGANOptions.tsx
+++ b/frontend/src/features/options/AdvancedOptions/Upscale/UpscaleOptions.tsx
@@ -1,23 +1,20 @@
-import { Flex } from '@chakra-ui/react';
-
-import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/store';
+import { RootState } from '../../../../app/store';
+import { useAppDispatch, useAppSelector } from '../../../../app/store';
 
 import {
   setUpscalingLevel,
   setUpscalingStrength,
   UpscalingLevel,
   OptionsState,
-} from '../options/optionsSlice';
+} from '../../optionsSlice';
 
-
-import { UPSCALING_LEVELS } from '../../app/constants';
+import { UPSCALING_LEVELS } from '../../../../app/constants';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
-import { SystemState } from '../system/systemSlice';
+import { SystemState } from '../../../system/systemSlice';
 import { ChangeEvent } from 'react';
-import SDNumberInput from '../../common/components/SDNumberInput';
-import SDSelect from '../../common/components/SDSelect';
+import IAINumberInput from '../../../../common/components/IAINumberInput';
+import IAISelect from '../../../../common/components/IAISelect';
 
 const optionsSelector = createSelector(
   (state: RootState) => state.options,
@@ -51,27 +48,27 @@ const systemSelector = createSelector(
 /**
  * Displays upscaling/ESRGAN options (level and strength).
  */
-const ESRGANOptions = () => {
+const UpscaleOptions = () => {
   const dispatch = useAppDispatch();
   const { upscalingLevel, upscalingStrength } = useAppSelector(optionsSelector);
+
   const { isESRGANAvailable } = useAppSelector(systemSelector);
 
   const handleChangeLevel = (e: ChangeEvent<HTMLSelectElement>) =>
     dispatch(setUpscalingLevel(Number(e.target.value) as UpscalingLevel));
 
-  const handleChangeStrength = (v: string | number) =>
-    dispatch(setUpscalingStrength(Number(v)));
+  const handleChangeStrength = (v: number) => dispatch(setUpscalingStrength(v));
 
   return (
-    <Flex direction={'column'} gap={2}>
-      <SDSelect
+    <div className='upscale-options'>
+      <IAISelect
         isDisabled={!isESRGANAvailable}
         label="Scale"
         value={upscalingLevel}
         onChange={handleChangeLevel}
         validValues={UPSCALING_LEVELS}
       />
-      <SDNumberInput
+      <IAINumberInput
         isDisabled={!isESRGANAvailable}
         label="Strength"
         step={0.05}
@@ -79,9 +76,10 @@ const ESRGANOptions = () => {
         max={1}
         onChange={handleChangeStrength}
         value={upscalingStrength}
+        isInteger={false}
       />
-    </Flex>
+    </div>
   );
 };
 
-export default ESRGANOptions;
+export default UpscaleOptions;
diff --git a/frontend/src/features/options/AdvancedOptions/Variations/GenerateVariations.tsx b/frontend/src/features/options/AdvancedOptions/Variations/GenerateVariations.tsx
new file mode 100644
index 0000000000..f17685b0a9
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Variations/GenerateVariations.tsx
@@ -0,0 +1,28 @@
+import React, { ChangeEvent } from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAISwitch from '../../../../common/components/IAISwitch';
+import { setShouldGenerateVariations } from '../../optionsSlice';
+
+export default function GenerateVariations() {
+  const shouldGenerateVariations = useAppSelector(
+    (state: RootState) => state.options.shouldGenerateVariations
+  );
+
+  const dispatch = useAppDispatch();
+
+  const handleChangeShouldGenerateVariations = (
+    e: ChangeEvent<HTMLInputElement>
+  ) => dispatch(setShouldGenerateVariations(e.target.checked));
+
+  return (
+    <IAISwitch
+      isChecked={shouldGenerateVariations}
+      width={'auto'}
+      onChange={handleChangeShouldGenerateVariations}
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Variations/SeedWeights.tsx b/frontend/src/features/options/AdvancedOptions/Variations/SeedWeights.tsx
new file mode 100644
index 0000000000..10e7d754b4
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Variations/SeedWeights.tsx
@@ -0,0 +1,37 @@
+import React, { ChangeEvent } from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAIInput from '../../../../common/components/IAIInput';
+import { validateSeedWeights } from '../../../../common/util/seedWeightPairs';
+import { setSeedWeights } from '../../optionsSlice';
+
+export default function SeedWeights() {
+  const seedWeights = useAppSelector(
+    (state: RootState) => state.options.seedWeights
+  );
+
+  const shouldGenerateVariations = useAppSelector(
+    (state: RootState) => state.options.shouldGenerateVariations
+  );
+
+  const dispatch = useAppDispatch();
+
+  const handleChangeSeedWeights = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setSeedWeights(e.target.value));
+
+  return (
+    <IAIInput
+      label={'Seed Weights'}
+      value={seedWeights}
+      isInvalid={
+        shouldGenerateVariations &&
+        !(validateSeedWeights(seedWeights) || seedWeights === '')
+      }
+      isDisabled={!shouldGenerateVariations}
+      onChange={handleChangeSeedWeights}
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Variations/VariationAmount.tsx b/frontend/src/features/options/AdvancedOptions/Variations/VariationAmount.tsx
new file mode 100644
index 0000000000..24fc81bb3e
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Variations/VariationAmount.tsx
@@ -0,0 +1,35 @@
+import React from 'react';
+import {
+  RootState,
+  useAppDispatch,
+  useAppSelector,
+} from '../../../../app/store';
+import IAINumberInput from '../../../../common/components/IAINumberInput';
+import { setVariationAmount } from '../../optionsSlice';
+
+export default function VariationAmount() {
+  const variationAmount = useAppSelector(
+    (state: RootState) => state.options.variationAmount
+  );
+
+  const shouldGenerateVariations = useAppSelector(
+    (state: RootState) => state.options.shouldGenerateVariations
+  );
+
+  const dispatch = useAppDispatch();
+  const handleChangevariationAmount = (v: number) =>
+    dispatch(setVariationAmount(v));
+
+  return (
+    <IAINumberInput
+      label="Variation Amount"
+      value={variationAmount}
+      step={0.01}
+      min={0}
+      max={1}
+      isDisabled={!shouldGenerateVariations}
+      onChange={handleChangevariationAmount}
+      isInteger={false}
+    />
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Variations/Variations.tsx b/frontend/src/features/options/AdvancedOptions/Variations/Variations.tsx
new file mode 100644
index 0000000000..61fba4b220
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Variations/Variations.tsx
@@ -0,0 +1,17 @@
+import { Flex } from '@chakra-ui/react';
+import React from 'react';
+import GenerateVariations from './GenerateVariations';
+
+export default function Variations() {
+  return (
+    <Flex
+      justifyContent={'space-between'}
+      alignItems={'center'}
+      width={'100%'}
+      mr={2}
+    >
+      <p>Variations</p>
+      <GenerateVariations />
+    </Flex>
+  );
+}
diff --git a/frontend/src/features/options/AdvancedOptions/Variations/VariationsOptions.tsx b/frontend/src/features/options/AdvancedOptions/Variations/VariationsOptions.tsx
new file mode 100644
index 0000000000..3062d02993
--- /dev/null
+++ b/frontend/src/features/options/AdvancedOptions/Variations/VariationsOptions.tsx
@@ -0,0 +1,17 @@
+import { Flex } from '@chakra-ui/react';
+import SeedWeights from './SeedWeights';
+import VariationAmount from './VariationAmount';
+
+/**
+ * Seed & variation options. Includes iteration, seed, seed randomization, variation options.
+ */
+const VariationsOptions = () => {
+  return (
+    <Flex gap={2} direction={'column'}>
+      <VariationAmount />
+      <SeedWeights />
+    </Flex>
+  );
+};
+
+export default VariationsOptions;
diff --git a/frontend/src/features/options/ImageToImageOptions.tsx b/frontend/src/features/options/ImageToImageOptions.tsx
deleted file mode 100644
index d9be3f7b53..0000000000
--- a/frontend/src/features/options/ImageToImageOptions.tsx
+++ /dev/null
@@ -1,59 +0,0 @@
-import { Flex } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { ChangeEvent } from 'react';
-import { useAppDispatch, useAppSelector } from '../../app/store';
-import { RootState } from '../../app/store';
-import SDNumberInput from '../../common/components/SDNumberInput';
-import SDSwitch from '../../common/components/SDSwitch';
-import InitAndMaskImage from './InitAndMaskImage';
-import {
-  OptionsState,
-  setImg2imgStrength,
-  setShouldFitToWidthHeight,
-} from './optionsSlice';
-
-const optionsSelector = createSelector(
-  (state: RootState) => state.options,
-  (options: OptionsState) => {
-    return {
-      img2imgStrength: options.img2imgStrength,
-      shouldFitToWidthHeight: options.shouldFitToWidthHeight,
-    };
-  }
-);
-
-/**
- * Options for img2img generation (strength, fit, init/mask upload).
- */
-const ImageToImageOptions = () => {
-  const dispatch = useAppDispatch();
-  const { img2imgStrength, shouldFitToWidthHeight } =
-    useAppSelector(optionsSelector);
-
-  const handleChangeStrength = (v: string | number) =>
-    dispatch(setImg2imgStrength(Number(v)));
-
-  const handleChangeFit = (e: ChangeEvent<HTMLInputElement>) =>
-    dispatch(setShouldFitToWidthHeight(e.target.checked));
-
-  return (
-    <Flex direction={'column'} gap={2}>
-      <SDNumberInput
-        label="Strength"
-        step={0.01}
-        min={0}
-        max={1}
-        onChange={handleChangeStrength}
-        value={img2imgStrength}
-      />
-      <SDSwitch
-        label="Fit initial image to output size"
-        isChecked={shouldFitToWidthHeight}
-        onChange={handleChangeFit}
-      />
-      <InitAndMaskImage />
-    </Flex>
-  );
-};
-
-export default ImageToImageOptions;
diff --git a/frontend/src/features/options/ImageUploader.tsx b/frontend/src/features/options/ImageUploader.tsx
index e7da2f14ba..47f32948ef 100644
--- a/frontend/src/features/options/ImageUploader.tsx
+++ b/frontend/src/features/options/ImageUploader.tsx
@@ -15,6 +15,8 @@ type ImageUploaderProps = {
    * Callback to handle a file being rejected.
    */
   fileRejectionCallback: (rejection: FileRejection) => void;
+  // Styling
+  styleClass?: string;
 };
 
 /**
@@ -25,6 +27,7 @@ const ImageUploader = ({
   children,
   fileAcceptedCallback,
   fileRejectionCallback,
+  styleClass,
 }: ImageUploaderProps) => {
   const onDrop = useCallback(
     (acceptedFiles: Array<File>, fileRejections: Array<FileRejection>) => {
@@ -52,7 +55,7 @@ const ImageUploader = ({
   };
 
   return (
-    <Box {...getRootProps()} flexGrow={3}>
+    <Box {...getRootProps()} flexGrow={3} className={`${styleClass}`}>
       <input {...getInputProps({ multiple: false })} />
       {cloneElement(children, {
         onClick: handleClickUploadIcon,
diff --git a/frontend/src/features/options/InitAndMaskImage.tsx b/frontend/src/features/options/InitAndMaskImage.tsx
index f129b54129..efeffbd8e0 100644
--- a/frontend/src/features/options/InitAndMaskImage.tsx
+++ b/frontend/src/features/options/InitAndMaskImage.tsx
@@ -1,8 +1,8 @@
 import { Flex, Image } from '@chakra-ui/react';
 import { useState } from 'react';
-import { useAppSelector } from '../../app/store';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import { OptionsState } from '../../features/options/optionsSlice';
+import { OptionsState, setInitialImagePath, setMaskPath } from './optionsSlice';
 import './InitAndMaskImage.css';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
@@ -23,9 +23,18 @@ const optionsSelector = createSelector(
  * Displays init and mask images and buttons to upload/delete them.
  */
 const InitAndMaskImage = () => {
+  const dispatch = useAppDispatch();
   const { initialImagePath, maskPath } = useAppSelector(optionsSelector);
   const [shouldShowMask, setShouldShowMask] = useState<boolean>(false);
 
+  const handleInitImageOnError = () => {
+    dispatch(setInitialImagePath(''));
+  };
+
+  const handleMaskImageOnError = () => {
+    dispatch(setMaskPath(''));
+  };
+
   return (
     <Flex direction={'column'} alignItems={'center'} gap={2}>
       <InitAndMaskUploadButtons setShouldShowMask={setShouldShowMask} />
@@ -36,16 +45,20 @@ const InitAndMaskImage = () => {
             src={initialImagePath}
             rounded={'md'}
             className={'checkerboard'}
+            maxWidth={320}
+            onError={handleInitImageOnError}
           />
           {shouldShowMask && maskPath && (
             <Image
               position={'absolute'}
               top={0}
               left={0}
+              maxWidth={320}
               fit={'contain'}
               src={maskPath}
               rounded={'md'}
               zIndex={1}
+              onError={handleMaskImageOnError}
             />
           )}
         </Flex>
diff --git a/frontend/src/features/options/InitAndMaskUploadButtons.tsx b/frontend/src/features/options/InitAndMaskUploadButtons.tsx
index 8f0f5748e5..8649a4fe92 100644
--- a/frontend/src/features/options/InitAndMaskUploadButtons.tsx
+++ b/frontend/src/features/options/InitAndMaskUploadButtons.tsx
@@ -3,11 +3,7 @@ import { SyntheticEvent, useCallback } from 'react';
 import { FaTrash, FaUpload } from 'react-icons/fa';
 import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import {
-  OptionsState,
-  setInitialImagePath,
-  setMaskPath,
-} from '../../features/options/optionsSlice';
+import { OptionsState, setInitialImagePath, setMaskPath } from './optionsSlice';
 import {
   uploadInitialImage,
   uploadMaskImage,
diff --git a/frontend/src/features/options/MainOptions/MainAdvancedOptions.tsx b/frontend/src/features/options/MainOptions/MainAdvancedOptions.tsx
new file mode 100644
index 0000000000..18517ba8c3
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainAdvancedOptions.tsx
@@ -0,0 +1,26 @@
+import React, { ChangeEvent } from 'react';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import { setShowAdvancedOptions } from '../optionsSlice';
+
+export default function MainAdvancedOptions() {
+  const showAdvancedOptions = useAppSelector(
+    (state: RootState) => state.options.showAdvancedOptions
+  );
+  const dispatch = useAppDispatch();
+
+  const handleShowAdvancedOptions = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShowAdvancedOptions(e.target.checked));
+
+  return (
+    <div className="advanced_options_checker">
+      <input
+        type="checkbox"
+        name="advanced_options"
+        id=""
+        onChange={handleShowAdvancedOptions}
+        checked={showAdvancedOptions}
+      />
+      <label htmlFor="advanced_options">Advanced Options</label>
+    </div>
+  );
+}
diff --git a/frontend/src/features/options/MainOptions/MainCFGScale.tsx b/frontend/src/features/options/MainOptions/MainCFGScale.tsx
new file mode 100644
index 0000000000..adb4d4697e
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainCFGScale.tsx
@@ -0,0 +1,28 @@
+import React from 'react';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import IAINumberInput from '../../../common/components/IAINumberInput';
+import { setCfgScale } from '../optionsSlice';
+import { fontSize, inputWidth } from './MainOptions';
+
+export default function MainCFGScale() {
+  const dispatch = useAppDispatch();
+  const cfgScale = useAppSelector((state: RootState) => state.options.cfgScale);
+
+  const handleChangeCfgScale = (v: number) => dispatch(setCfgScale(v));
+
+  return (
+    <IAINumberInput
+      label="CFG Scale"
+      step={0.5}
+      min={1}
+      max={30}
+      onChange={handleChangeCfgScale}
+      value={cfgScale}
+      width={inputWidth}
+      fontSize={fontSize}
+      styleClass="main-option-block"
+      textAlign="center"
+      isInteger={false}
+    />
+  );
+}
diff --git a/frontend/src/features/options/MainOptions/MainHeight.tsx b/frontend/src/features/options/MainOptions/MainHeight.tsx
new file mode 100644
index 0000000000..dabb2af406
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainHeight.tsx
@@ -0,0 +1,26 @@
+import React, { ChangeEvent } from 'react';
+import { HEIGHTS } from '../../../app/constants';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import IAISelect from '../../../common/components/IAISelect';
+import { setHeight } from '../optionsSlice';
+import { fontSize } from './MainOptions';
+
+export default function MainHeight() {
+  const height = useAppSelector((state: RootState) => state.options.height);
+  const dispatch = useAppDispatch();
+
+  const handleChangeHeight = (e: ChangeEvent<HTMLSelectElement>) =>
+    dispatch(setHeight(Number(e.target.value)));
+
+  return (
+    <IAISelect
+      label="Height"
+      value={height}
+      flexGrow={1}
+      onChange={handleChangeHeight}
+      validValues={HEIGHTS}
+      fontSize={fontSize}
+      styleClass="main-option-block"
+    />
+  );
+}
diff --git a/frontend/src/features/options/MainOptions/MainIterations.tsx b/frontend/src/features/options/MainOptions/MainIterations.tsx
new file mode 100644
index 0000000000..86889e4b5e
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainIterations.tsx
@@ -0,0 +1,29 @@
+import React from 'react';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import IAINumberInput from '../../../common/components/IAINumberInput';
+import { setIterations } from '../optionsSlice';
+import { fontSize, inputWidth } from './MainOptions';
+
+export default function MainIterations() {
+  const dispatch = useAppDispatch();
+  const iterations = useAppSelector(
+    (state: RootState) => state.options.iterations
+  );
+
+  const handleChangeIterations = (v: number) => dispatch(setIterations(v));
+
+  return (
+    <IAINumberInput
+      label="Images"
+      step={1}
+      min={1}
+      max={9999}
+      onChange={handleChangeIterations}
+      value={iterations}
+      width={inputWidth}
+      fontSize={fontSize}
+      styleClass="main-option-block"
+      textAlign="center"
+    />
+  );
+}
diff --git a/frontend/src/features/options/MainOptions/MainOptions.scss b/frontend/src/features/options/MainOptions/MainOptions.scss
new file mode 100644
index 0000000000..56899105ff
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainOptions.scss
@@ -0,0 +1,82 @@
+@use '../../../styles/Mixins/' as *;
+
+.main-options {
+  display: grid;
+  row-gap: 1rem;
+}
+
+.main-options-list {
+  display: grid;
+  row-gap: 1rem;
+}
+
+.main-options-row {
+  display: grid;
+  grid-template-columns: repeat(3, auto);
+  column-gap: 1rem;
+  max-width: $options-bar-max-width;
+}
+
+.main-option-block {
+  border-radius: 0.5rem;
+  grid-template-columns: auto !important;
+  row-gap: 0.4rem;
+
+  .number-input-label,
+  .iai-select-label {
+    width: 100%;
+    font-size: 0.9rem;
+    font-weight: bold;
+  }
+
+  .number-input-entry {
+    padding: 0;
+    height: 2.4rem;
+  }
+
+  .iai-select-picker {
+    height: 2.4rem;
+    border-radius: 0.3rem;
+  }
+}
+
+.advanced_options_checker {
+  display: grid;
+  grid-template-columns: repeat(2, max-content);
+  column-gap: 0.5rem;
+  align-items: center;
+  background-color: var(--background-color-secondary);
+  padding: 1rem;
+  font-weight: bold;
+  border-radius: 0.5rem;
+
+  input[type='checkbox'] {
+    -webkit-appearance: none;
+    appearance: none;
+    background-color: var(--input-checkbox-bg);
+    width: 1rem;
+    height: 1rem;
+    border-radius: 0.2rem;
+
+    display: grid;
+    place-content: center;
+
+    &::before {
+      content: '';
+      width: 1rem;
+      height: 1rem;
+      transform: scale(0);
+      transition: 120ms transform ease-in-out;
+      border-radius: 0.2rem;
+      box-shadow: inset 1rem 1rem var(--input-checkbox-checked-tick);
+      clip-path: polygon(14% 44%, 0 65%, 50% 100%, 100% 16%, 80% 0%, 43% 62%);
+    }
+
+    &:checked {
+      background-color: var(--input-checkbox-checked-bg);
+      &::before {
+        transform: scale(0.7);
+      }
+    }
+  }
+}
diff --git a/frontend/src/features/options/MainOptions/MainOptions.tsx b/frontend/src/features/options/MainOptions/MainOptions.tsx
new file mode 100644
index 0000000000..092cdea50d
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainOptions.tsx
@@ -0,0 +1,28 @@
+import MainCFGScale from './MainCFGScale';
+import MainHeight from './MainHeight';
+import MainIterations from './MainIterations';
+import MainSampler from './MainSampler';
+import MainSteps from './MainSteps';
+import MainWidth from './MainWidth';
+
+export const fontSize = '0.9rem';
+export const inputWidth = 'auto';
+
+export default function MainOptions() {
+  return (
+    <div className="main-options">
+      <div className="main-options-list">
+        <div className="main-options-row">
+          <MainIterations />
+          <MainSteps />
+          <MainCFGScale />
+        </div>
+        <div className="main-options-row">
+          <MainWidth />
+          <MainHeight />
+          <MainSampler />
+        </div>
+      </div>
+    </div>
+  );
+}
diff --git a/frontend/src/features/options/MainOptions/MainSampler.tsx b/frontend/src/features/options/MainOptions/MainSampler.tsx
new file mode 100644
index 0000000000..c6b0ae7dd3
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainSampler.tsx
@@ -0,0 +1,25 @@
+import React, { ChangeEvent } from 'react';
+import { SAMPLERS } from '../../../app/constants';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import IAISelect from '../../../common/components/IAISelect';
+import { setSampler } from '../optionsSlice';
+import { fontSize } from './MainOptions';
+
+export default function MainSampler() {
+  const sampler = useAppSelector((state: RootState) => state.options.sampler);
+  const dispatch = useAppDispatch();
+
+  const handleChangeSampler = (e: ChangeEvent<HTMLSelectElement>) =>
+    dispatch(setSampler(e.target.value));
+
+  return (
+    <IAISelect
+      label="Sampler"
+      value={sampler}
+      onChange={handleChangeSampler}
+      validValues={SAMPLERS}
+      fontSize={fontSize}
+      styleClass="main-option-block"
+    />
+  );
+}
diff --git a/frontend/src/features/options/MainOptions/MainSteps.tsx b/frontend/src/features/options/MainOptions/MainSteps.tsx
new file mode 100644
index 0000000000..20670fc208
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainSteps.tsx
@@ -0,0 +1,27 @@
+import React from 'react';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import IAINumberInput from '../../../common/components/IAINumberInput';
+import { setSteps } from '../optionsSlice';
+import { fontSize, inputWidth } from './MainOptions';
+
+export default function MainSteps() {
+  const dispatch = useAppDispatch();
+  const steps = useAppSelector((state: RootState) => state.options.steps);
+
+  const handleChangeSteps = (v: number) => dispatch(setSteps(v));
+
+  return (
+    <IAINumberInput
+      label="Steps"
+      min={1}
+      max={9999}
+      step={1}
+      onChange={handleChangeSteps}
+      value={steps}
+      width={inputWidth}
+      fontSize={fontSize}
+      styleClass="main-option-block"
+      textAlign="center"
+    />
+  );
+}
diff --git a/frontend/src/features/options/MainOptions/MainWidth.tsx b/frontend/src/features/options/MainOptions/MainWidth.tsx
new file mode 100644
index 0000000000..4803409f5a
--- /dev/null
+++ b/frontend/src/features/options/MainOptions/MainWidth.tsx
@@ -0,0 +1,26 @@
+import React, { ChangeEvent } from 'react';
+import { WIDTHS } from '../../../app/constants';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import IAISelect from '../../../common/components/IAISelect';
+import { setWidth } from '../optionsSlice';
+import { fontSize } from './MainOptions';
+
+export default function MainWidth() {
+  const width = useAppSelector((state: RootState) => state.options.width);
+  const dispatch = useAppDispatch();
+
+  const handleChangeWidth = (e: ChangeEvent<HTMLSelectElement>) =>
+    dispatch(setWidth(Number(e.target.value)));
+
+  return (
+    <IAISelect
+      label="Width"
+      value={width}
+      flexGrow={1}
+      onChange={handleChangeWidth}
+      validValues={WIDTHS}
+      fontSize={fontSize}
+      styleClass="main-option-block"
+    />
+  );
+}
diff --git a/frontend/src/features/options/OptionsAccordion.tsx b/frontend/src/features/options/OptionsAccordion.tsx
index 2568717090..9971d017a0 100644
--- a/frontend/src/features/options/OptionsAccordion.tsx
+++ b/frontend/src/features/options/OptionsAccordion.tsx
@@ -1,85 +1,28 @@
-import {
-  Flex,
-  Box,
-  Text,
-  Accordion,
-  AccordionItem,
-  AccordionButton,
-  AccordionIcon,
-  AccordionPanel,
-  Switch,
-  ExpandedIndex,
-} from '@chakra-ui/react';
+import { Accordion, ExpandedIndex } from '@chakra-ui/react';
+import { RootState, useAppDispatch, useAppSelector } from '../../app/store';
+import { setOpenAccordions } from '../system/systemSlice';
+import InvokeAccordionItem, {
+  InvokeAccordionItemProps,
+} from './AccordionItems/InvokeAccordionItem';
+import { ReactElement } from 'react';
 
-import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/store';
+type OptionsAccordionType = {
+  [optionAccordionKey: string]: InvokeAccordionItemProps;
+};
 
-import {
-  setShouldRunGFPGAN,
-  setShouldRunESRGAN,
-  OptionsState,
-  setShouldUseInitImage,
-} from '../options/optionsSlice';
-import { createSelector } from '@reduxjs/toolkit';
-import { isEqual } from 'lodash';
-import { setOpenAccordions, SystemState } from '../system/systemSlice';
-import SeedVariationOptions from './SeedVariationOptions';
-import SamplerOptions from './SamplerOptions';
-import ESRGANOptions from './ESRGANOptions';
-import GFPGANOptions from './GFPGANOptions';
-import OutputOptions from './OutputOptions';
-import ImageToImageOptions from './ImageToImageOptions';
-import { ChangeEvent } from 'react';
-
-import GuideIcon from '../../common/components/GuideIcon';
-import { Feature } from '../../app/features';
-
-const optionsSelector = createSelector(
-  (state: RootState) => state.options,
-  (options: OptionsState) => {
-    return {
-      initialImagePath: options.initialImagePath,
-      shouldUseInitImage: options.shouldUseInitImage,
-      shouldRunESRGAN: options.shouldRunESRGAN,
-      shouldRunGFPGAN: options.shouldRunGFPGAN,
-    };
-  },
-  {
-    memoizeOptions: {
-      resultEqualityCheck: isEqual,
-    },
-  }
-);
-
-const systemSelector = createSelector(
-  (state: RootState) => state.system,
-  (system: SystemState) => {
-    return {
-      isGFPGANAvailable: system.isGFPGANAvailable,
-      isESRGANAvailable: system.isESRGANAvailable,
-      openAccordions: system.openAccordions,
-    };
-  },
-  {
-    memoizeOptions: {
-      resultEqualityCheck: isEqual,
-    },
-  }
-);
+type OptionAccordionsType = {
+  accordionInfo: OptionsAccordionType;
+};
 
 /**
  * Main container for generation and processing parameters.
  */
-const OptionsAccordion = () => {
-  const {
-    shouldRunESRGAN,
-    shouldRunGFPGAN,
-    shouldUseInitImage,
-    initialImagePath,
-  } = useAppSelector(optionsSelector);
+const OptionsAccordion = (props: OptionAccordionsType) => {
+  const { accordionInfo } = props;
 
-  const { isGFPGANAvailable, isESRGANAvailable, openAccordions } =
-    useAppSelector(systemSelector);
+  const openAccordions = useAppSelector(
+    (state: RootState) => state.system.openAccordions
+  );
 
   const dispatch = useAppDispatch();
 
@@ -89,14 +32,22 @@ const OptionsAccordion = () => {
   const handleChangeAccordionState = (openAccordions: ExpandedIndex) =>
     dispatch(setOpenAccordions(openAccordions));
 
-  const handleChangeShouldRunESRGAN = (e: ChangeEvent<HTMLInputElement>) =>
-    dispatch(setShouldRunESRGAN(e.target.checked));
-
-  const handleChangeShouldRunGFPGAN = (e: ChangeEvent<HTMLInputElement>) =>
-    dispatch(setShouldRunGFPGAN(e.target.checked));
-
-  const handleChangeShouldUseInitImage = (e: ChangeEvent<HTMLInputElement>) =>
-    dispatch(setShouldUseInitImage(e.target.checked));
+  const renderAccordions = () => {
+    const accordionsToRender: ReactElement[] = [];
+    if (accordionInfo) {
+      Object.keys(accordionInfo).forEach((key) => {
+        accordionsToRender.push(
+          <InvokeAccordionItem
+            key={key}
+            header={accordionInfo[key as keyof typeof accordionInfo].header}
+            feature={accordionInfo[key as keyof typeof accordionInfo].feature}
+            options={accordionInfo[key as keyof typeof accordionInfo].options}
+          />
+        );
+      });
+    }
+    return accordionsToRender;
+  };
 
   return (
     <Accordion
@@ -104,121 +55,9 @@ const OptionsAccordion = () => {
       allowMultiple
       reduceMotion
       onChange={handleChangeAccordionState}
+      className="advanced-settings"
     >
-      <AccordionItem>
-        <h2>
-          <AccordionButton>
-            <Box flex="1" textAlign="left">
-              Seed & Variation
-            </Box>
-            <GuideIcon feature={Feature.SEED_AND_VARIATION} />
-            <AccordionIcon />
-          </AccordionButton>
-        </h2>
-        <AccordionPanel>
-          <SeedVariationOptions />
-        </AccordionPanel>
-      </AccordionItem>
-      <AccordionItem>
-        <h2>
-          <AccordionButton>
-            <Box flex="1" textAlign="left">
-              Sampler
-            </Box>
-            <GuideIcon feature={Feature.SAMPLER} />
-            <AccordionIcon />
-          </AccordionButton>
-        </h2>
-        <AccordionPanel>
-          <SamplerOptions />
-        </AccordionPanel>
-      </AccordionItem>
-      <AccordionItem>
-        <h2>
-          <AccordionButton>
-            <Flex
-              justifyContent={'space-between'}
-              alignItems={'center'}
-              width={'100%'}
-              mr={2}
-            >
-              <Text>Upscale (ESRGAN)</Text>
-              <Switch
-                isDisabled={!isESRGANAvailable}
-                isChecked={shouldRunESRGAN}
-                onChange={handleChangeShouldRunESRGAN}
-              />
-            </Flex>
-            <GuideIcon feature={Feature.ESRGAN} />
-            <AccordionIcon />
-          </AccordionButton>
-        </h2>
-        <AccordionPanel>
-          <ESRGANOptions />
-        </AccordionPanel>
-      </AccordionItem>
-      <AccordionItem>
-        <h2>
-          <AccordionButton>
-            <Flex
-              justifyContent={'space-between'}
-              alignItems={'center'}
-              width={'100%'}
-              mr={2}
-            >
-              <Text>Face Correction</Text>
-              <Switch
-                isDisabled={!isGFPGANAvailable}
-                isChecked={shouldRunGFPGAN}
-                onChange={handleChangeShouldRunGFPGAN}
-              />
-            </Flex>
-            <GuideIcon feature={Feature.FACE_CORRECTION} />
-            <AccordionIcon />
-          </AccordionButton>
-        </h2>
-        <AccordionPanel>
-          <GFPGANOptions />
-        </AccordionPanel>
-      </AccordionItem>
-      <AccordionItem>
-        <h2>
-          <AccordionButton>
-            <Flex
-              justifyContent={'space-between'}
-              alignItems={'center'}
-              width={'100%'}
-              mr={2}
-            >
-              <Text>Image to Image</Text>
-              <Switch
-                isDisabled={!initialImagePath}
-                isChecked={shouldUseInitImage}
-                onChange={handleChangeShouldUseInitImage}
-              />
-            </Flex>
-            <GuideIcon feature={Feature.IMAGE_TO_IMAGE} />
-            <AccordionIcon />
-          </AccordionButton>
-        </h2>
-        <AccordionPanel>
-          <ImageToImageOptions />
-        </AccordionPanel>
-      </AccordionItem>
-      <AccordionItem>
-        <h2>
-          <AccordionButton>
-            <Box flex="1" textAlign="left">
-              Output
-            </Box>
-            <GuideIcon feature={Feature.OUTPUT} />
-            <AccordionIcon />
-          </AccordionButton>
-        </h2>
-        <AccordionPanel>
-          <OutputOptions />
-        </AccordionPanel>
-      </AccordionItem>
+      {renderAccordions()}
     </Accordion>
   );
 };
diff --git a/frontend/src/features/options/OutputOptions.tsx b/frontend/src/features/options/OutputOptions.tsx
index 32ff6f5a82..d978b6ea6d 100644
--- a/frontend/src/features/options/OutputOptions.tsx
+++ b/frontend/src/features/options/OutputOptions.tsx
@@ -1,69 +1,24 @@
 import { Flex } from '@chakra-ui/react';
-
 import { RootState } from '../../app/store';
 import { useAppDispatch, useAppSelector } from '../../app/store';
-
-import { setHeight, setWidth, setSeamless, OptionsState } from '../options/optionsSlice';
-
-
-import { HEIGHTS, WIDTHS } from '../../app/constants';
-import { createSelector } from '@reduxjs/toolkit';
-import { isEqual } from 'lodash';
+import { setSeamless } from './optionsSlice';
 import { ChangeEvent } from 'react';
-import SDSelect from '../../common/components/SDSelect';
-import SDSwitch from '../../common/components/SDSwitch';
-
-const optionsSelector = createSelector(
-  (state: RootState) => state.options,
-  (options: OptionsState) => {
-    return {
-      height: options.height,
-      width: options.width,
-      seamless: options.seamless,
-    };
-  },
-  {
-    memoizeOptions: {
-      resultEqualityCheck: isEqual,
-    },
-  }
-);
+import IAISwitch from '../../common/components/IAISwitch';
 
 /**
  * Image output options. Includes width, height, seamless tiling.
  */
 const OutputOptions = () => {
   const dispatch = useAppDispatch();
-  const { height, width, seamless } = useAppSelector(optionsSelector);
 
-  const handleChangeWidth = (e: ChangeEvent<HTMLSelectElement>) =>
-    dispatch(setWidth(Number(e.target.value)));
-
-  const handleChangeHeight = (e: ChangeEvent<HTMLSelectElement>) =>
-    dispatch(setHeight(Number(e.target.value)));
+  const seamless = useAppSelector((state: RootState) => state.options.seamless);
 
   const handleChangeSeamless = (e: ChangeEvent<HTMLInputElement>) =>
     dispatch(setSeamless(e.target.checked));
 
   return (
     <Flex gap={2} direction={'column'}>
-      <Flex gap={2}>
-        <SDSelect
-          label="Width"
-          value={width}
-          flexGrow={1}
-          onChange={handleChangeWidth}
-          validValues={WIDTHS}
-        />
-        <SDSelect
-          label="Height"
-          value={height}
-          flexGrow={1}
-          onChange={handleChangeHeight}
-          validValues={HEIGHTS}
-        />
-      </Flex>
-      <SDSwitch
+      <IAISwitch
         label="Seamless tiling"
         fontSize={'md'}
         isChecked={seamless}
diff --git a/frontend/src/features/options/ProcessButtons.tsx b/frontend/src/features/options/ProcessButtons.tsx
deleted file mode 100644
index d1960d3271..0000000000
--- a/frontend/src/features/options/ProcessButtons.tsx
+++ /dev/null
@@ -1,68 +0,0 @@
-import { Flex } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { isEqual } from 'lodash';
-import { useAppDispatch, useAppSelector } from '../../app/store';
-import { cancelProcessing, generateImage } from '../../app/socketio/actions';
-import { RootState } from '../../app/store';
-import SDButton from '../../common/components/SDButton';
-import useCheckParameters from '../../common/hooks/useCheckParameters';
-import { SystemState } from '../system/systemSlice';
-
-const systemSelector = createSelector(
-  (state: RootState) => state.system,
-  (system: SystemState) => {
-    return {
-      isProcessing: system.isProcessing,
-      isConnected: system.isConnected,
-    };
-  },
-  {
-    memoizeOptions: {
-      resultEqualityCheck: isEqual,
-    },
-  }
-);
-
-/**
- * Buttons to start and cancel image generation.
- */
-const ProcessButtons = () => {
-  const dispatch = useAppDispatch();
-  const { isProcessing, isConnected } = useAppSelector(systemSelector);
-  const isReady = useCheckParameters();
-
-  const handleClickGenerate = () => dispatch(generateImage());
-
-  const handleClickCancel = () => dispatch(cancelProcessing());
-
-  return (
-    <Flex
-      gap={2}
-      direction={'column'}
-      alignItems={'space-between'}
-      height={'100%'}
-    >
-      <SDButton
-        label="Generate"
-        type="submit"
-        colorScheme="green"
-        flexGrow={1}
-        isDisabled={!isReady}
-        fontSize={'md'}
-        size={'md'}
-        onClick={handleClickGenerate}
-      />
-      <SDButton
-        label="Cancel"
-        colorScheme="red"
-        flexGrow={1}
-        fontSize={'md'}
-        size={'md'}
-        isDisabled={!isConnected || !isProcessing}
-        onClick={handleClickCancel}
-      />
-    </Flex>
-  );
-};
-
-export default ProcessButtons;
diff --git a/frontend/src/features/options/ProcessButtons/CancelButton.tsx b/frontend/src/features/options/ProcessButtons/CancelButton.tsx
new file mode 100644
index 0000000000..34c96d5c29
--- /dev/null
+++ b/frontend/src/features/options/ProcessButtons/CancelButton.tsx
@@ -0,0 +1,34 @@
+import React from 'react';
+import { MdCancel } from 'react-icons/md';
+import { cancelProcessing } from '../../../app/socketio/actions';
+import { useAppDispatch, useAppSelector } from '../../../app/store';
+import IAIIconButton from '../../../common/components/IAIIconButton';
+import { systemSelector } from '../../../common/hooks/useCheckParameters';
+import { useHotkeys } from 'react-hotkeys-hook';
+
+export default function CancelButton() {
+  const dispatch = useAppDispatch();
+  const { isProcessing, isConnected } = useAppSelector(systemSelector);
+  const handleClickCancel = () => dispatch(cancelProcessing());
+
+  useHotkeys(
+    'shift+x',
+    () => {
+      if (isConnected || isProcessing) {
+        handleClickCancel();
+      }
+    },
+    [isConnected, isProcessing]
+  );
+
+  return (
+    <IAIIconButton
+      icon={<MdCancel />}
+      tooltip="Cancel"
+      aria-label="Cancel"
+      isDisabled={!isConnected || !isProcessing}
+      onClick={handleClickCancel}
+      className="cancel-btn"
+    />
+  );
+}
diff --git a/frontend/src/features/options/ProcessButtons/InvokeButton.tsx b/frontend/src/features/options/ProcessButtons/InvokeButton.tsx
new file mode 100644
index 0000000000..3a0472c435
--- /dev/null
+++ b/frontend/src/features/options/ProcessButtons/InvokeButton.tsx
@@ -0,0 +1,25 @@
+import React from 'react';
+import { generateImage } from '../../../app/socketio/actions';
+import { useAppDispatch } from '../../../app/store';
+import IAIButton from '../../../common/components/IAIButton';
+import useCheckParameters from '../../../common/hooks/useCheckParameters';
+
+export default function InvokeButton() {
+  const dispatch = useAppDispatch();
+  const isReady = useCheckParameters();
+
+  const handleClickGenerate = () => {
+    dispatch(generateImage());
+  };
+
+  return (
+    <IAIButton
+      label="Invoke"
+      aria-label="Invoke"
+      type="submit"
+      isDisabled={!isReady}
+      onClick={handleClickGenerate}
+      className="invoke-btn"
+    />
+  );
+}
diff --git a/frontend/src/features/options/ProcessButtons/ProcessButtons.scss b/frontend/src/features/options/ProcessButtons/ProcessButtons.scss
new file mode 100644
index 0000000000..aed8d2ca27
--- /dev/null
+++ b/frontend/src/features/options/ProcessButtons/ProcessButtons.scss
@@ -0,0 +1,23 @@
+@use '../../../styles/Mixins/' as *;
+
+.process-buttons {
+  display: grid;
+  grid-template-columns: auto max-content;
+  column-gap: 0.5rem;
+
+  .invoke-btn {
+    @include Button(
+      $btn-color: var(--btn-purple),
+      $btn-color-hover: var(--btn-purple-hover),
+      $btn-width: 5rem
+    );
+  }
+
+  .cancel-btn {
+    @include Button(
+      $btn-color: var(--btn-red),
+      $btn-color-hover: var(--btn-red-hover),
+      $btn-width: 3rem
+    );
+  }
+}
diff --git a/frontend/src/features/options/ProcessButtons/ProcessButtons.tsx b/frontend/src/features/options/ProcessButtons/ProcessButtons.tsx
new file mode 100644
index 0000000000..e4d07a0224
--- /dev/null
+++ b/frontend/src/features/options/ProcessButtons/ProcessButtons.tsx
@@ -0,0 +1,16 @@
+import InvokeButton from './InvokeButton';
+import CancelButton from './CancelButton';
+
+/**
+ * Buttons to start and cancel image generation.
+ */
+const ProcessButtons = () => {
+  return (
+    <div className="process-buttons">
+      <InvokeButton />
+      <CancelButton />
+    </div>
+  );
+};
+
+export default ProcessButtons;
diff --git a/frontend/src/features/options/PromptInput.tsx b/frontend/src/features/options/PromptInput.tsx
deleted file mode 100644
index bed6af411c..0000000000
--- a/frontend/src/features/options/PromptInput.tsx
+++ /dev/null
@@ -1,44 +0,0 @@
-import { Textarea } from '@chakra-ui/react';
-import {
-  ChangeEvent,
-  KeyboardEvent,
-} from 'react';
-import { useAppDispatch, useAppSelector } from '../../app/store';
-import { generateImage } from '../../app/socketio/actions';
-import { RootState } from '../../app/store';
-import { setPrompt } from '../options/optionsSlice';
-
-/**
- * Prompt input text area.
- */
-const PromptInput = () => {
-  const { prompt } = useAppSelector((state: RootState) => state.options);
-  const dispatch = useAppDispatch();
-
-  const handleChangePrompt = (e: ChangeEvent<HTMLTextAreaElement>) =>
-    dispatch(setPrompt(e.target.value));
-
-  const handleKeyDown = (e: KeyboardEvent<HTMLTextAreaElement>) => {
-    if (e.key === 'Enter' && e.shiftKey === false) {
-      e.preventDefault();
-      dispatch(generateImage())
-    }
-  };
-
-  return (
-    <Textarea
-      id="prompt"
-      name="prompt"
-      resize="none"
-      size={'lg'}
-      height={'100%'}
-      isInvalid={!prompt.length}
-      onChange={handleChangePrompt}
-      onKeyDown={handleKeyDown}
-      value={prompt}
-      placeholder="I'm dreaming of..."
-    />
-  );
-};
-
-export default PromptInput;
diff --git a/frontend/src/features/options/PromptInput/PromptInput.scss b/frontend/src/features/options/PromptInput/PromptInput.scss
new file mode 100644
index 0000000000..5692a207ab
--- /dev/null
+++ b/frontend/src/features/options/PromptInput/PromptInput.scss
@@ -0,0 +1,34 @@
+.prompt-bar {
+  display: grid;
+  row-gap: 1rem;
+
+  input,
+  textarea {
+    background-color: var(--prompt-bg-color);
+    font-size: 1rem;
+    border: 2px solid var(--border-color);
+
+    &:hover {
+      border: 2px solid var(--border-color-light);
+    }
+
+    &:focus-visible {
+      border: 2px solid var(--prompt-border-color);
+      box-shadow: 0 0 10px 0 var(--prompt-box-shadow-color);
+    }
+
+    &[aria-invalid='true'] {
+      border: 2px solid var(--border-color-invalid);
+      box-shadow: 0 0 10px 0 var(--box-shadow-color-invalid);
+    }
+
+    &:disabled {
+      border: 2px solid var(--border-color);
+      box-shadow: none;
+    }
+  }
+
+  textarea {
+    min-height: 10rem;
+  }
+}
diff --git a/frontend/src/features/options/PromptInput/PromptInput.tsx b/frontend/src/features/options/PromptInput/PromptInput.tsx
new file mode 100644
index 0000000000..92201b6f87
--- /dev/null
+++ b/frontend/src/features/options/PromptInput/PromptInput.tsx
@@ -0,0 +1,90 @@
+import { FormControl, Textarea } from '@chakra-ui/react';
+import { ChangeEvent, KeyboardEvent, useRef } from 'react';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import { generateImage } from '../../../app/socketio/actions';
+
+import { OptionsState, setPrompt } from '../optionsSlice';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import useCheckParameters, {
+  systemSelector,
+} from '../../../common/hooks/useCheckParameters';
+import { useHotkeys } from 'react-hotkeys-hook';
+
+export const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
+    return {
+      prompt: options.prompt,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
+    },
+  }
+);
+
+/**
+ * Prompt input text area.
+ */
+const PromptInput = () => {
+  const promptRef = useRef<HTMLTextAreaElement>(null);
+  const { prompt } = useAppSelector(optionsSelector);
+  const { isProcessing } = useAppSelector(systemSelector);
+  const dispatch = useAppDispatch();
+  const isReady = useCheckParameters();
+
+  const handleChangePrompt = (e: ChangeEvent<HTMLTextAreaElement>) => {
+    dispatch(setPrompt(e.target.value));
+  };
+
+  useHotkeys(
+    'ctrl+enter',
+    () => {
+      if (isReady) {
+        dispatch(generateImage());
+      }
+    },
+    [isReady]
+  );
+
+  useHotkeys(
+    'alt+a',
+    () => {
+      promptRef.current?.focus();
+    },
+    []
+  );
+
+  const handleKeyDown = (e: KeyboardEvent<HTMLTextAreaElement>) => {
+    if (e.key === 'Enter' && e.shiftKey === false && isReady) {
+      e.preventDefault();
+      dispatch(generateImage());
+    }
+  };
+
+  return (
+    <div className="prompt-bar">
+      <FormControl
+        isInvalid={prompt.length === 0 || Boolean(prompt.match(/^[\s\r\n]+$/))}
+        isDisabled={isProcessing}
+      >
+        <Textarea
+          id="prompt"
+          name="prompt"
+          placeholder="I'm dreaming of..."
+          size={'lg'}
+          value={prompt}
+          onChange={handleChangePrompt}
+          onKeyDown={handleKeyDown}
+          resize="vertical"
+          height={30}
+          ref={promptRef}
+        />
+      </FormControl>
+    </div>
+  );
+};
+
+export default PromptInput;
diff --git a/frontend/src/features/options/SamplerOptions.tsx b/frontend/src/features/options/SamplerOptions.tsx
index 87a1094f51..3021e63a9a 100644
--- a/frontend/src/features/options/SamplerOptions.tsx
+++ b/frontend/src/features/options/SamplerOptions.tsx
@@ -3,15 +3,21 @@ import { Flex } from '@chakra-ui/react';
 import { RootState } from '../../app/store';
 import { useAppDispatch, useAppSelector } from '../../app/store';
 
-import { setCfgScale, setSampler, setSteps, OptionsState } from '../options/optionsSlice';
-
+import {
+  setCfgScale,
+  setSampler,
+  setThreshold,
+  setPerlin,
+  setSteps,
+  OptionsState,
+} from './optionsSlice';
 
 import { SAMPLERS } from '../../app/constants';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { ChangeEvent } from 'react';
-import SDNumberInput from '../../common/components/SDNumberInput';
-import SDSelect from '../../common/components/SDSelect';
+import IAINumberInput from '../../common/components/IAINumberInput';
+import IAISelect from '../../common/components/IAISelect';
 
 const optionsSelector = createSelector(
   (state: RootState) => state.options,
@@ -20,6 +26,8 @@ const optionsSelector = createSelector(
       steps: options.steps,
       cfgScale: options.cfgScale,
       sampler: options.sampler,
+      threshold: options.threshold,
+      perlin: options.perlin,
     };
   },
   {
@@ -33,8 +41,9 @@ const optionsSelector = createSelector(
  * Sampler options. Includes steps, CFG scale, sampler.
  */
 const SamplerOptions = () => {
+
   const dispatch = useAppDispatch();
-  const { steps, cfgScale, sampler } = useAppSelector(optionsSelector);
+  const { steps, cfgScale, sampler, threshold, perlin } = useAppSelector(optionsSelector);
 
   const handleChangeSteps = (v: string | number) =>
     dispatch(setSteps(Number(v)));
@@ -45,28 +54,49 @@ const SamplerOptions = () => {
   const handleChangeSampler = (e: ChangeEvent<HTMLSelectElement>) =>
     dispatch(setSampler(e.target.value));
 
+  const handleChangeThreshold = (v: string | number) =>
+    dispatch(setThreshold(Number(v)));
+
+  const handleChangePerlin = (v: string | number) =>
+    dispatch(setPerlin(Number(v)));
+
   return (
     <Flex gap={2} direction={'column'}>
-      <SDNumberInput
+      {/* <IAINumberInput
         label="Steps"
         min={1}
         step={1}
         precision={0}
         onChange={handleChangeSteps}
         value={steps}
-      />
-      <SDNumberInput
+      /> */}
+      {/* <IAINumberInput
         label="CFG scale"
         step={0.5}
         onChange={handleChangeCfgScale}
         value={cfgScale}
-      />
-      <SDSelect
+      /> */}
+      <IAISelect
         label="Sampler"
         value={sampler}
         onChange={handleChangeSampler}
         validValues={SAMPLERS}
       />
+      {/* <IAINumberInput
+          label='Threshold'
+          min={0}
+          step={0.1}
+          onChange={handleChangeThreshold}
+          value={threshold}
+      /> */}
+      {/* <IAINumberInput
+          label='Perlin'
+          min={0}
+          max={1}
+          step={0.05}
+          onChange={handleChangePerlin}
+          value={perlin}
+      /> */}
     </Flex>
   );
 };
diff --git a/frontend/src/features/options/SeedVariationOptions.tsx b/frontend/src/features/options/SeedVariationOptions.tsx
deleted file mode 100644
index ce75c0172d..0000000000
--- a/frontend/src/features/options/SeedVariationOptions.tsx
+++ /dev/null
@@ -1,160 +0,0 @@
-import {
-  Flex,
-  Input,
-  HStack,
-  FormControl,
-  FormLabel,
-  Text,
-  Button,
-} from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { isEqual } from 'lodash';
-import { ChangeEvent } from 'react';
-import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../app/constants';
-import { useAppDispatch, useAppSelector } from '../../app/store';
-import { RootState } from '../../app/store';
-import SDNumberInput from '../../common/components/SDNumberInput';
-import SDSwitch from '../../common/components/SDSwitch';
-import randomInt from '../../common/util/randomInt';
-import { validateSeedWeights } from '../../common/util/seedWeightPairs';
-import {
-  OptionsState,
-  setIterations,
-  setSeed,
-  setSeedWeights,
-  setShouldGenerateVariations,
-  setShouldRandomizeSeed,
-  setVariationAmount,
-} from './optionsSlice';
-
-const optionsSelector = createSelector(
-  (state: RootState) => state.options,
-  (options: OptionsState) => {
-    return {
-      variationAmount: options.variationAmount,
-      seedWeights: options.seedWeights,
-      shouldGenerateVariations: options.shouldGenerateVariations,
-      shouldRandomizeSeed: options.shouldRandomizeSeed,
-      seed: options.seed,
-      iterations: options.iterations,
-    };
-  },
-  {
-    memoizeOptions: {
-      resultEqualityCheck: isEqual,
-    },
-  }
-);
-
-/**
- * Seed & variation options. Includes iteration, seed, seed randomization, variation options.
- */
-const SeedVariationOptions = () => {
-  const {
-    shouldGenerateVariations,
-    variationAmount,
-    seedWeights,
-    shouldRandomizeSeed,
-    seed,
-    iterations,
-  } = useAppSelector(optionsSelector);
-
-  const dispatch = useAppDispatch();
-
-  const handleChangeIterations = (v: string | number) =>
-    dispatch(setIterations(Number(v)));
-
-  const handleChangeShouldRandomizeSeed = (e: ChangeEvent<HTMLInputElement>) =>
-    dispatch(setShouldRandomizeSeed(e.target.checked));
-
-  const handleChangeSeed = (v: string | number) => dispatch(setSeed(Number(v)));
-
-  const handleClickRandomizeSeed = () =>
-    dispatch(setSeed(randomInt(NUMPY_RAND_MIN, NUMPY_RAND_MAX)));
-
-  const handleChangeShouldGenerateVariations = (
-    e: ChangeEvent<HTMLInputElement>
-  ) => dispatch(setShouldGenerateVariations(e.target.checked));
-
-  const handleChangevariationAmount = (v: string | number) =>
-    dispatch(setVariationAmount(Number(v)));
-
-  const handleChangeSeedWeights = (e: ChangeEvent<HTMLInputElement>) =>
-    dispatch(setSeedWeights(e.target.value));
-
-  return (
-    <Flex gap={2} direction={'column'}>
-      <SDNumberInput
-        label="Images to generate"
-        step={1}
-        min={1}
-        precision={0}
-        onChange={handleChangeIterations}
-        value={iterations}
-      />
-      <SDSwitch
-        label="Randomize seed on generation"
-        isChecked={shouldRandomizeSeed}
-        onChange={handleChangeShouldRandomizeSeed}
-      />
-      <Flex gap={2}>
-        <SDNumberInput
-          label="Seed"
-          step={1}
-          precision={0}
-          flexGrow={1}
-          min={NUMPY_RAND_MIN}
-          max={NUMPY_RAND_MAX}
-          isDisabled={shouldRandomizeSeed}
-          isInvalid={seed < 0 && shouldGenerateVariations}
-          onChange={handleChangeSeed}
-          value={seed}
-        />
-        <Button
-          size={'sm'}
-          isDisabled={shouldRandomizeSeed}
-          onClick={handleClickRandomizeSeed}
-        >
-          <Text pl={2} pr={2}>
-            Shuffle
-          </Text>
-        </Button>
-      </Flex>
-      <SDSwitch
-        label="Generate variations"
-        isChecked={shouldGenerateVariations}
-        width={'auto'}
-        onChange={handleChangeShouldGenerateVariations}
-      />
-      <SDNumberInput
-        label="Variation amount"
-        value={variationAmount}
-        step={0.01}
-        min={0}
-        max={1}
-        isDisabled={!shouldGenerateVariations}
-        onChange={handleChangevariationAmount}
-      />
-      <FormControl
-        isInvalid={
-          shouldGenerateVariations &&
-          !(validateSeedWeights(seedWeights) || seedWeights === '')
-        }
-        flexGrow={1}
-      >
-        <HStack>
-          <FormLabel marginInlineEnd={0} marginBottom={1}>
-            <Text whiteSpace="nowrap">Seed Weights</Text>
-          </FormLabel>
-          <Input
-            size={'sm'}
-            value={seedWeights}
-            onChange={handleChangeSeedWeights}
-          />
-        </HStack>
-      </FormControl>
-    </Flex>
-  );
-};
-
-export default SeedVariationOptions;
diff --git a/frontend/src/features/options/optionsSlice.ts b/frontend/src/features/options/optionsSlice.ts
index 2303315123..8e9402bbdc 100644
--- a/frontend/src/features/options/optionsSlice.ts
+++ b/frontend/src/features/options/optionsSlice.ts
@@ -14,13 +14,15 @@ export interface OptionsState {
   height: number;
   width: number;
   sampler: string;
+  threshold: number;
+  perlin: number;
   seed: number;
   img2imgStrength: number;
   gfpganStrength: number;
   upscalingLevel: UpscalingLevel;
   upscalingStrength: number;
   shouldUseInitImage: boolean;
-  initialImagePath: string;
+  initialImagePath: string | null;
   maskPath: string;
   seamless: boolean;
   shouldFitToWidthHeight: boolean;
@@ -30,6 +32,9 @@ export interface OptionsState {
   shouldRunESRGAN: boolean;
   shouldRunGFPGAN: boolean;
   shouldRandomizeSeed: boolean;
+  showAdvancedOptions: boolean;
+  activeTab: number;
+  shouldShowImageDetails: boolean;
 }
 
 const initialOptionsState: OptionsState = {
@@ -40,11 +45,13 @@ const initialOptionsState: OptionsState = {
   height: 512,
   width: 512,
   sampler: 'k_lms',
+  threshold: 0,
+  perlin: 0,
   seed: 0,
   seamless: false,
   shouldUseInitImage: false,
   img2imgStrength: 0.75,
-  initialImagePath: '',
+  initialImagePath: null,
   maskPath: '',
   shouldFitToWidthHeight: true,
   shouldGenerateVariations: false,
@@ -56,6 +63,9 @@ const initialOptionsState: OptionsState = {
   shouldRunGFPGAN: false,
   gfpganStrength: 0.8,
   shouldRandomizeSeed: true,
+  showAdvancedOptions: true,
+  activeTab: 0,
+  shouldShowImageDetails: false,
 };
 
 const initialState: OptionsState = initialOptionsState;
@@ -81,6 +91,12 @@ export const optionsSlice = createSlice({
     setCfgScale: (state, action: PayloadAction<number>) => {
       state.cfgScale = action.payload;
     },
+    setThreshold: (state, action: PayloadAction<number>) => {
+      state.threshold = action.payload;
+    },
+    setPerlin: (state, action: PayloadAction<number>) => {
+      state.perlin = action.payload;
+    },
     setHeight: (state, action: PayloadAction<number>) => {
       state.height = action.payload;
     },
@@ -109,7 +125,7 @@ export const optionsSlice = createSlice({
     setShouldUseInitImage: (state, action: PayloadAction<boolean>) => {
       state.shouldUseInitImage = action.payload;
     },
-    setInitialImagePath: (state, action: PayloadAction<string>) => {
+    setInitialImagePath: (state, action: PayloadAction<string | null>) => {
       const newInitialImagePath = action.payload;
       state.shouldUseInitImage = newInitialImagePath ? true : false;
       state.initialImagePath = newInitialImagePath;
@@ -153,13 +169,14 @@ export const optionsSlice = createSlice({
     setAllParameters: (state, action: PayloadAction<InvokeAI.Metadata>) => {
       const {
         type,
-        postprocessing,
         sampler,
         prompt,
         seed,
         variations,
         steps,
         cfg_scale,
+        threshold,
+        perlin,
         seamless,
         width,
         height,
@@ -191,40 +208,49 @@ export const optionsSlice = createSlice({
         state.shouldRandomizeSeed = false;
       }
 
-      let postprocessingNotDone = ['gfpgan', 'esrgan'];
-      if (postprocessing && postprocessing.length > 0) {
-        postprocessing.forEach(
-          (postprocess: InvokeAI.PostProcessedImageMetadata) => {
-            if (postprocess.type === 'gfpgan') {
-              const { strength } = postprocess;
-              if (strength) state.gfpganStrength = strength;
-              state.shouldRunGFPGAN = true;
-              postprocessingNotDone = postprocessingNotDone.filter(
-                (p) => p !== 'gfpgan'
-              );
-            }
-            if (postprocess.type === 'esrgan') {
-              const { scale, strength } = postprocess;
-              if (scale) state.upscalingLevel = scale;
-              if (strength) state.upscalingStrength = strength;
-              state.shouldRunESRGAN = true;
-              postprocessingNotDone = postprocessingNotDone.filter(
-                (p) => p !== 'esrgan'
-              );
-            }
-          }
-        );
-      }
+      /**
+       * We support arbitrary numbers of postprocessing steps, so it
+       * doesnt make sense to be include postprocessing metadata when
+       * we use all parameters. Because this code needed a bit of braining
+       * to figure out, I am leaving it, in case it is needed again.
+       */
 
-      postprocessingNotDone.forEach((p) => {
-        if (p === 'esrgan') state.shouldRunESRGAN = false;
-        if (p === 'gfpgan') state.shouldRunGFPGAN = false;
-      });
+      // let postprocessingNotDone = ['gfpgan', 'esrgan'];
+      // if (postprocessing && postprocessing.length > 0) {
+      //   postprocessing.forEach(
+      //     (postprocess: InvokeAI.PostProcessedImageMetadata) => {
+      //       if (postprocess.type === 'gfpgan') {
+      //         const { strength } = postprocess;
+      //         if (strength) state.gfpganStrength = strength;
+      //         state.shouldRunGFPGAN = true;
+      //         postprocessingNotDone = postprocessingNotDone.filter(
+      //           (p) => p !== 'gfpgan'
+      //         );
+      //       }
+      //       if (postprocess.type === 'esrgan') {
+      //         const { scale, strength } = postprocess;
+      //         if (scale) state.upscalingLevel = scale;
+      //         if (strength) state.upscalingStrength = strength;
+      //         state.shouldRunESRGAN = true;
+      //         postprocessingNotDone = postprocessingNotDone.filter(
+      //           (p) => p !== 'esrgan'
+      //         );
+      //       }
+      //     }
+      //   );
+      // }
+
+      // postprocessingNotDone.forEach((p) => {
+      //   if (p === 'esrgan') state.shouldRunESRGAN = false;
+      //   if (p === 'gfpgan') state.shouldRunGFPGAN = false;
+      // });
 
       if (prompt) state.prompt = promptToString(prompt);
       if (sampler) state.sampler = sampler;
       if (steps) state.steps = steps;
       if (cfg_scale) state.cfgScale = cfg_scale;
+      if (threshold) state.threshold = threshold;
+      if (perlin) state.perlin = perlin;
       if (typeof seamless === 'boolean') state.seamless = seamless;
       if (width) state.width = width;
       if (height) state.height = height;
@@ -244,6 +270,15 @@ export const optionsSlice = createSlice({
     setShouldRandomizeSeed: (state, action: PayloadAction<boolean>) => {
       state.shouldRandomizeSeed = action.payload;
     },
+    setShowAdvancedOptions: (state, action: PayloadAction<boolean>) => {
+      state.showAdvancedOptions = action.payload;
+    },
+    setActiveTab: (state, action: PayloadAction<number>) => {
+      state.activeTab = action.payload;
+    },
+    setShouldShowImageDetails: (state, action: PayloadAction<boolean>) => {
+      state.shouldShowImageDetails = action.payload;
+    },
   },
 });
 
@@ -252,6 +287,8 @@ export const {
   setIterations,
   setSteps,
   setCfgScale,
+  setThreshold,
+  setPerlin,
   setHeight,
   setWidth,
   setSampler,
@@ -275,6 +312,9 @@ export const {
   setShouldRunGFPGAN,
   setShouldRunESRGAN,
   setShouldRandomizeSeed,
+  setShowAdvancedOptions,
+  setActiveTab,
+  setShouldShowImageDetails,
 } = optionsSlice.actions;
 
 export default optionsSlice.reducer;
diff --git a/frontend/src/features/system/Console.scss b/frontend/src/features/system/Console.scss
new file mode 100644
index 0000000000..d9ef94fc47
--- /dev/null
+++ b/frontend/src/features/system/Console.scss
@@ -0,0 +1,72 @@
+.console {
+  display: flex;
+  flex-direction: column;
+  background: var(--console-bg-color);
+  overflow: auto;
+  direction: column;
+  font-family: monospace;
+  padding: 0 1rem 1rem 3rem;
+  border-top-width: 0.3rem;
+  border-color: var(--console-border-color);
+
+  .console-info-color {
+    color: var(--error-level-info);
+  }
+
+  .console-warning-color {
+    color: var(--error-level-warning);
+  }
+
+  .console-error-color {
+    color: var(--status-bad-color);
+  }
+
+  .console-entry {
+    display: flex;
+    column-gap: 0.5rem;
+
+    .console-timestamp {
+      font-weight: semibold;
+    }
+
+    .console-message {
+      word-break: break-all;
+    }
+  }
+}
+
+.console-toggle-icon-button {
+  background: var(--console-icon-button-bg-color) !important;
+  position: fixed !important;
+  left: 0.5rem;
+  bottom: 0.5rem;
+
+  &:hover {
+    background: var(--console-icon-button-bg-color-hover) !important;
+  }
+
+  &.error-seen {
+    background: var(--status-bad-color) !important;
+    &:hover {
+      background: var(--status-bad-color) !important;
+    }
+  }
+}
+
+.console-autoscroll-icon-button {
+  background: var(--console-icon-button-bg-color) !important;
+  position: fixed !important;
+  left: 0.5rem;
+  bottom: 3rem;
+
+  &:hover {
+    background: var(--console-icon-button-bg-color-hover) !important;
+  }
+
+  &.autoscroll-enabled {
+    background: var(--btn-purple) !important;
+    &:hover {
+      background: var(--btn-purple-hover) !important;
+    }
+  }
+}
diff --git a/frontend/src/features/system/LogViewer.tsx b/frontend/src/features/system/Console.tsx
similarity index 52%
rename from frontend/src/features/system/LogViewer.tsx
rename to frontend/src/features/system/Console.tsx
index e526ebbb7c..799488f486 100644
--- a/frontend/src/features/system/LogViewer.tsx
+++ b/frontend/src/features/system/Console.tsx
@@ -1,17 +1,12 @@
-import {
-  IconButton,
-  useColorModeValue,
-  Flex,
-  Text,
-  Tooltip,
-} from '@chakra-ui/react';
+import { IconButton, Tooltip } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import { setShouldShowLogViewer, SystemState } from './systemSlice';
+import { errorSeen, setShouldShowLogViewer, SystemState } from './systemSlice';
 import { useLayoutEffect, useRef, useState } from 'react';
 import { FaAngleDoubleDown, FaCode, FaMinus } from 'react-icons/fa';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
+import { Resizable } from 're-resizable';
 
 const logSelector = createSelector(
   (state: RootState) => state.system,
@@ -27,7 +22,11 @@ const logSelector = createSelector(
 const systemSelector = createSelector(
   (state: RootState) => state.system,
   (system: SystemState) => {
-    return { shouldShowLogViewer: system.shouldShowLogViewer };
+    return {
+      shouldShowLogViewer: system.shouldShowLogViewer,
+      hasError: system.hasError,
+      wasErrorSeen: system.wasErrorSeen,
+    };
   },
   {
     memoizeOptions: {
@@ -39,26 +38,11 @@ const systemSelector = createSelector(
 /**
  * Basic log viewer, floats on bottom of page.
  */
-const LogViewer = () => {
+const Console = () => {
   const dispatch = useAppDispatch();
   const log = useAppSelector(logSelector);
-  const { shouldShowLogViewer } = useAppSelector(systemSelector);
-
-  // Set colors based on dark/light mode
-  const bg = useColorModeValue('gray.50', 'gray.900');
-  const borderColor = useColorModeValue('gray.500', 'gray.500');
-  const logTextColors = useColorModeValue(
-    {
-      info: undefined,
-      warning: 'yellow.500',
-      error: 'red.500',
-    },
-    {
-      info: undefined,
-      warning: 'yellow.300',
-      error: 'red.300',
-    }
-  );
+  const { shouldShowLogViewer, hasError, wasErrorSeen } =
+    useAppSelector(systemSelector);
 
   // Rudimentary autoscroll
   const [shouldAutoscroll, setShouldAutoscroll] = useState<boolean>(true);
@@ -78,68 +62,58 @@ const LogViewer = () => {
   }, [shouldAutoscroll, log, shouldShowLogViewer]);
 
   const handleClickLogViewerToggle = () => {
+    dispatch(errorSeen());
     dispatch(setShouldShowLogViewer(!shouldShowLogViewer));
   };
 
   return (
     <>
       {shouldShowLogViewer && (
-        <Flex
-          position={'fixed'}
-          left={0}
-          bottom={0}
-          height="200px" // TODO: Make the log viewer resizeable.
-          width="100vw"
-          overflow="auto"
-          direction="column"
-          fontFamily="monospace"
-          fontSize="sm"
-          pl={12}
-          pr={2}
-          pb={2}
-          borderTopWidth="4px"
-          borderColor={borderColor}
-          background={bg}
-          ref={viewerRef}
+        <Resizable
+          defaultSize={{
+            width: '100%',
+            height: 200,
+          }}
+          style={{ display: 'flex', position: 'fixed', left: 0, bottom: 0 }}
+          maxHeight={'90vh'}
         >
-          {log.map((entry, i) => {
-            const { timestamp, message, level } = entry;
-            return (
-              <Flex gap={2} key={i} textColor={logTextColors[level]}>
-                <Text fontSize="sm" fontWeight={'semibold'}>
-                  {timestamp}:
-                </Text>
-                <Text fontSize="sm" wordBreak={'break-all'}>
-                  {message}
-                </Text>
-              </Flex>
-            );
-          })}
-        </Flex>
+          <div className="console" ref={viewerRef}>
+            {log.map((entry, i) => {
+              const { timestamp, message, level } = entry;
+              return (
+                <div key={i} className={`console-entry console-${level}-color`}>
+                  <p className="console-timestamp">{timestamp}:</p>
+                  <p className="console-message">{message}</p>
+                </div>
+              );
+            })}
+          </div>
+        </Resizable>
       )}
       {shouldShowLogViewer && (
-        <Tooltip label={shouldAutoscroll ? 'Autoscroll on' : 'Autoscroll off'}>
+        <Tooltip label={shouldAutoscroll ? 'Autoscroll On' : 'Autoscroll Off'}>
           <IconButton
+            className={`console-autoscroll-icon-button ${
+              shouldAutoscroll && 'autoscroll-enabled'
+            }`}
             size="sm"
-            position={'fixed'}
-            left={2}
-            bottom={12}
             aria-label="Toggle autoscroll"
             variant={'solid'}
-            colorScheme={shouldAutoscroll ? 'blue' : 'gray'}
             icon={<FaAngleDoubleDown />}
             onClick={() => setShouldAutoscroll(!shouldAutoscroll)}
           />
         </Tooltip>
       )}
-      <Tooltip label={shouldShowLogViewer ? 'Hide logs' : 'Show logs'}>
+      <Tooltip label={shouldShowLogViewer ? 'Hide Console' : 'Show Console'}>
         <IconButton
+          className={`console-toggle-icon-button ${
+            (hasError || !wasErrorSeen) && 'error-seen'
+          }`}
           size="sm"
           position={'fixed'}
-          left={2}
-          bottom={2}
           variant={'solid'}
           aria-label="Toggle Log Viewer"
+          // colorScheme={hasError || !wasErrorSeen ? 'red' : 'gray'}
           icon={shouldShowLogViewer ? <FaMinus /> : <FaCode />}
           onClick={handleClickLogViewerToggle}
         />
@@ -148,4 +122,4 @@ const LogViewer = () => {
   );
 };
 
-export default LogViewer;
+export default Console;
diff --git a/frontend/src/features/system/HotkeysModal/HotkeysModal.scss b/frontend/src/features/system/HotkeysModal/HotkeysModal.scss
new file mode 100644
index 0000000000..07dd4e0d14
--- /dev/null
+++ b/frontend/src/features/system/HotkeysModal/HotkeysModal.scss
@@ -0,0 +1,53 @@
+@use '../../../styles/Mixins/' as *;
+
+.hotkeys-modal {
+  display: grid;
+  padding: 1rem;
+  background-color: var(--settings-modal-bg) !important;
+  row-gap: 1rem;
+  font-family: Inter;
+
+  h1 {
+    font-size: 1.2rem;
+    font-weight: bold;
+  }
+}
+
+.hotkeys-modal-items {
+  display: grid;
+  row-gap: 0.5rem;
+  max-height: 32rem;
+  overflow-y: scroll;
+  @include HideScrollbar;
+}
+
+.hotkey-modal-item {
+  display: grid;
+  grid-template-columns: auto max-content;
+  justify-content: space-between;
+  align-items: center;
+  background-color: var(--background-color);
+  padding: 0.5rem 1rem;
+  border-radius: 0.3rem;
+
+  .hotkey-info {
+    display: grid;
+
+    .hotkey-title {
+      font-weight: bold;
+    }
+
+    .hotkey-description {
+      font-size: 0.9rem;
+      color: var(--text-color-secondary);
+    }
+  }
+
+  .hotkey-key {
+    font-size: 0.8rem;
+    font-weight: bold;
+    border: 2px solid var(--settings-modal-bg);
+    padding: 0.2rem 0.5rem;
+    border-radius: 0.3rem;
+  }
+}
diff --git a/frontend/src/features/system/HotkeysModal/HotkeysModal.tsx b/frontend/src/features/system/HotkeysModal/HotkeysModal.tsx
new file mode 100644
index 0000000000..16fb7d6bf6
--- /dev/null
+++ b/frontend/src/features/system/HotkeysModal/HotkeysModal.tsx
@@ -0,0 +1,108 @@
+import {
+  Modal,
+  ModalCloseButton,
+  ModalContent,
+  ModalOverlay,
+  useDisclosure,
+} from '@chakra-ui/react';
+import React, { cloneElement, ReactElement } from 'react';
+import HotkeysModalItem from './HotkeysModalItem';
+
+type HotkeysModalProps = {
+  /* The button to open the Settings Modal */
+  children: ReactElement;
+};
+
+export default function HotkeysModal({ children }: HotkeysModalProps) {
+  const {
+    isOpen: isHotkeyModalOpen,
+    onOpen: onHotkeysModalOpen,
+    onClose: onHotkeysModalClose,
+  } = useDisclosure();
+
+  const hotkeys = [
+    { title: 'Invoke', desc: 'Generate an image', hotkey: 'Ctrl+Enter' },
+    { title: 'Cancel', desc: 'Cancel image generation', hotkey: 'Shift+X' },
+    {
+      title: 'Set Seed',
+      desc: 'Use the seed of the current image',
+      hotkey: 'S',
+    },
+    {
+      title: 'Set Parameters',
+      desc: 'Use all parameters of the current image',
+      hotkey: 'A',
+    },
+    { title: 'Restore Faces', desc: 'Restore the current image', hotkey: 'R' },
+    { title: 'Upscale', desc: 'Upscale the current image', hotkey: 'U' },
+    {
+      title: 'Show Info',
+      desc: 'Show metadata info of the current image',
+      hotkey: 'I',
+    },
+    {
+      title: 'Send To Image To Image',
+      desc: 'Send the current image to Image to Image module',
+      hotkey: 'Shift+I',
+    },
+    { title: 'Delete Image', desc: 'Delete the current image', hotkey: 'Del' },
+    {
+      title: 'Focus Prompt',
+      desc: 'Focus the prompt input area',
+      hotkey: 'Alt+A',
+    },
+    {
+      title: 'Previous Image',
+      desc: 'Display the previous image in the gallery',
+      hotkey: 'Arrow left',
+    },
+    {
+      title: 'Next Image',
+      desc: 'Display the next image in the gallery',
+      hotkey: 'Arrow right',
+    },
+    {
+      title: 'Change Tabs',
+      desc: 'Switch to another workspace',
+      hotkey: '1-6',
+    },
+    {
+      title: 'Theme Toggle',
+      desc: 'Switch between dark and light modes',
+      hotkey: 'Shift+D',
+    },
+  ];
+
+  const renderHotkeyModalItems = () => {
+    const hotkeyModalItemsToRender: ReactElement[] = [];
+
+    hotkeys.forEach((hotkey, i) => {
+      hotkeyModalItemsToRender.push(
+        <HotkeysModalItem
+          key={i}
+          title={hotkey.title}
+          description={hotkey.desc}
+          hotkey={hotkey.hotkey}
+        />
+      );
+    });
+
+    return hotkeyModalItemsToRender;
+  };
+
+  return (
+    <>
+      {cloneElement(children, {
+        onClick: onHotkeysModalOpen,
+      })}
+      <Modal isOpen={isHotkeyModalOpen} onClose={onHotkeysModalClose}>
+        <ModalOverlay />
+        <ModalContent className="hotkeys-modal">
+          <ModalCloseButton />
+          <h1>Keyboard Shorcuts</h1>
+          <div className="hotkeys-modal-items">{renderHotkeyModalItems()}</div>
+        </ModalContent>
+      </Modal>
+    </>
+  );
+}
diff --git a/frontend/src/features/system/HotkeysModal/HotkeysModalItem.tsx b/frontend/src/features/system/HotkeysModal/HotkeysModalItem.tsx
new file mode 100644
index 0000000000..b031573f61
--- /dev/null
+++ b/frontend/src/features/system/HotkeysModal/HotkeysModalItem.tsx
@@ -0,0 +1,20 @@
+import React from 'react';
+
+interface HotkeysModalProps {
+  hotkey: string;
+  title: string;
+  description?: string;
+}
+
+export default function HotkeysModalItem(props: HotkeysModalProps) {
+  const { title, hotkey, description } = props;
+  return (
+    <div className="hotkey-modal-item">
+      <div className="hotkey-info">
+        <p className="hotkey-title">{title}</p>
+        {description && <p className="hotkey-description">{description}</p>}
+      </div>
+      <div className="hotkey-key">{hotkey}</div>
+    </div>
+  );
+}
diff --git a/frontend/src/features/system/ProgressBar.scss b/frontend/src/features/system/ProgressBar.scss
new file mode 100644
index 0000000000..017b21833c
--- /dev/null
+++ b/frontend/src/features/system/ProgressBar.scss
@@ -0,0 +1,7 @@
+.progress-bar {
+  background-color: var(--root-bg-color);
+
+  div {
+    background-color: var(--progress-bar-color);
+  }
+}
diff --git a/frontend/src/features/system/ProgressBar.tsx b/frontend/src/features/system/ProgressBar.tsx
index 374f45a6f7..e2905172dc 100644
--- a/frontend/src/features/system/ProgressBar.tsx
+++ b/frontend/src/features/system/ProgressBar.tsx
@@ -28,9 +28,10 @@ const ProgressBar = () => {
 
   return (
     <Progress
-      height="10px"
+      height="4px"
       value={value}
       isIndeterminate={isProcessing && !currentStatusHasSteps}
+      className="progress-bar"
     />
   );
 };
diff --git a/frontend/src/features/system/SettingsModal/SettingsModal.scss b/frontend/src/features/system/SettingsModal/SettingsModal.scss
new file mode 100644
index 0000000000..b969523fb9
--- /dev/null
+++ b/frontend/src/features/system/SettingsModal/SettingsModal.scss
@@ -0,0 +1,42 @@
+@use '../../../styles/Mixins/' as *;
+
+.settings-modal {
+  background-color: var(--settings-modal-bg) !important;
+  font-family: Inter;
+
+  .settings-modal-content {
+    display: grid;
+    row-gap: 2rem;
+  }
+
+  .settings-modal-header {
+    font-weight: bold;
+  }
+
+  .settings-modal-items {
+    display: grid;
+    row-gap: 0.5rem;
+
+    .settings-modal-item {
+      display: grid;
+      grid-auto-flow: column;
+      background-color: var(--background-color);
+      padding: 0.4rem 1rem;
+      border-radius: 0.5rem;
+      justify-content: space-between;
+      align-items: center;
+    }
+  }
+
+  .settings-modal-reset {
+    display: grid;
+    row-gap: 1rem;
+
+    button {
+      @include Button(
+        $btn-color: var(--btn-red),
+        $btn-color-hover: var(--btn-red-hover)
+      );
+    }
+  }
+}
diff --git a/frontend/src/features/system/SettingsModal.tsx b/frontend/src/features/system/SettingsModal/SettingsModal.tsx
similarity index 65%
rename from frontend/src/features/system/SettingsModal.tsx
rename to frontend/src/features/system/SettingsModal/SettingsModal.tsx
index 8c420f6871..6b2a01166e 100644
--- a/frontend/src/features/system/SettingsModal.tsx
+++ b/frontend/src/features/system/SettingsModal/SettingsModal.tsx
@@ -1,10 +1,7 @@
 import {
   Button,
   Flex,
-  FormControl,
-  FormLabel,
   Heading,
-  HStack,
   Modal,
   ModalBody,
   ModalCloseButton,
@@ -12,22 +9,21 @@ import {
   ModalFooter,
   ModalHeader,
   ModalOverlay,
-  Switch,
   Text,
   useDisclosure,
 } from '@chakra-ui/react';
-import { useAppDispatch, useAppSelector } from '../../app/store';
-import {
-  setShouldConfirmOnDelete,
-  setShouldDisplayInProgress,
-  setShouldDisplayGuides,
-  SystemState,
-} from './systemSlice';
-import { RootState } from '../../app/store';
-import { persistor } from '../../main';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { cloneElement, ReactElement } from 'react';
+import { RootState, useAppSelector } from '../../../app/store';
+import { persistor } from '../../../main';
+import {
+  setShouldConfirmOnDelete,
+  setShouldDisplayGuides,
+  setShouldDisplayInProgress,
+  SystemState,
+} from '../systemSlice';
+import SettingsModalItem from './SettingsModalItem';
 
 const systemSelector = createSelector(
   (state: RootState) => state.system,
@@ -78,8 +74,6 @@ const SettingsModal = ({ children }: SettingsModalProps) => {
     shouldDisplayGuides,
   } = useAppSelector(systemSelector);
 
-  const dispatch = useAppDispatch();
-
   /**
    * Resets localstorage, then opens a secondary modal informing user to
    * refresh their browser.
@@ -99,49 +93,31 @@ const SettingsModal = ({ children }: SettingsModalProps) => {
 
       <Modal isOpen={isSettingsModalOpen} onClose={onSettingsModalClose}>
         <ModalOverlay />
-        <ModalContent>
-          <ModalHeader>Settings</ModalHeader>
+        <ModalContent className="settings-modal">
+          <ModalHeader className="settings-modal-header">Settings</ModalHeader>
           <ModalCloseButton />
-          <ModalBody>
-            <Flex gap={5} direction="column">
-              <FormControl>
-                <HStack>
-                  <FormLabel marginBottom={1}>
-                    Display in-progress images (slower)
-                  </FormLabel>
-                  <Switch
-                    isChecked={shouldDisplayInProgress}
-                    onChange={(e) =>
-                      dispatch(setShouldDisplayInProgress(e.target.checked))
-                    }
-                  />
-                </HStack>
-              </FormControl>
-              <FormControl>
-                <HStack>
-                  <FormLabel marginBottom={1}>Confirm on delete</FormLabel>
-                  <Switch
-                    isChecked={shouldConfirmOnDelete}
-                    onChange={(e) =>
-                      dispatch(setShouldConfirmOnDelete(e.target.checked))
-                    }
-                  />
-                </HStack>
-              </FormControl>
-              <FormControl>
-                <HStack>
-                  <FormLabel marginBottom={1}>
-                    Display help guides in configuration menus
-                  </FormLabel>
-                  <Switch
-                    isChecked={shouldDisplayGuides}
-                    onChange={(e) =>
-                      dispatch(setShouldDisplayGuides(e.target.checked))
-                    }
-                  />
-                </HStack>
-              </FormControl>
+          <ModalBody className="settings-modal-content">
+            <div className="settings-modal-items">
+              <SettingsModalItem
+                settingTitle="Display In-Progress Images (slower)"
+                isChecked={shouldDisplayInProgress}
+                dispatcher={setShouldDisplayInProgress}
+              />
 
+              <SettingsModalItem
+                settingTitle="Confirm on Delete"
+                isChecked={shouldConfirmOnDelete}
+                dispatcher={setShouldConfirmOnDelete}
+              />
+
+              <SettingsModalItem
+                settingTitle="Display Help Icons"
+                isChecked={shouldDisplayGuides}
+                dispatcher={setShouldDisplayGuides}
+              />
+            </div>
+
+            <div className="settings-modal-reset">
               <Heading size={'md'}>Reset Web UI</Heading>
               <Text>
                 Resetting the web UI only resets the browser's local cache of
@@ -156,7 +132,7 @@ const SettingsModal = ({ children }: SettingsModalProps) => {
               <Button colorScheme="red" onClick={handleClickResetWebUI}>
                 Reset Web UI
               </Button>
-            </Flex>
+            </div>
           </ModalBody>
 
           <ModalFooter>
diff --git a/frontend/src/features/system/SettingsModal/SettingsModalItem.tsx b/frontend/src/features/system/SettingsModal/SettingsModalItem.tsx
new file mode 100644
index 0000000000..23c9796444
--- /dev/null
+++ b/frontend/src/features/system/SettingsModal/SettingsModalItem.tsx
@@ -0,0 +1,24 @@
+import { FormControl, FormLabel, Switch } from '@chakra-ui/react';
+import React from 'react';
+import { useAppDispatch } from '../../../app/store';
+
+export default function SettingsModalItem({
+  settingTitle,
+  isChecked,
+  dispatcher,
+}: {
+  settingTitle: string;
+  isChecked: boolean;
+  dispatcher: any;
+}) {
+  const dispatch = useAppDispatch();
+  return (
+    <FormControl className="settings-modal-item">
+      <FormLabel marginBottom={1}>{settingTitle}</FormLabel>
+      <Switch
+        isChecked={isChecked}
+        onChange={(e) => dispatch(dispatcher(e.target.checked))}
+      />
+    </FormControl>
+  );
+}
diff --git a/frontend/src/features/system/SiteHeader.scss b/frontend/src/features/system/SiteHeader.scss
new file mode 100644
index 0000000000..fa2b9f77df
--- /dev/null
+++ b/frontend/src/features/system/SiteHeader.scss
@@ -0,0 +1,27 @@
+.site-header {
+  display: grid;
+  grid-template-columns: auto max-content;
+}
+
+.site-header-left-side {
+  display: grid;
+  grid-template-columns: repeat(2, max-content);
+  column-gap: 0.6rem;
+  align-items: center;
+
+  img {
+    width: 32px;
+    height: 32px;
+  }
+
+  h1 {
+    font-size: 1.4rem;
+  }
+}
+
+.site-header-right-side {
+  display: grid;
+  grid-template-columns: repeat(6, max-content);
+  align-items: center;
+  column-gap: 0.5rem;
+}
diff --git a/frontend/src/features/system/SiteHeader.tsx b/frontend/src/features/system/SiteHeader.tsx
index 20bf91ebeb..61ed996cec 100644
--- a/frontend/src/features/system/SiteHeader.tsx
+++ b/frontend/src/features/system/SiteHeader.tsx
@@ -1,119 +1,103 @@
-import {
-  Flex,
-  Heading,
-  IconButton,
-  Link,
-  Spacer,
-  Text,
-  useColorMode,
-} from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { isEqual } from 'lodash';
+import { IconButton, Link, useColorMode } from '@chakra-ui/react';
+import { useHotkeys } from 'react-hotkeys-hook';
 
 import { FaSun, FaMoon, FaGithub } from 'react-icons/fa';
-import { MdHelp, MdSettings } from 'react-icons/md';
-import { useAppSelector } from '../../app/store';
-import { RootState } from '../../app/store';
-import SettingsModal from '../system/SettingsModal';
-import { SystemState } from '../system/systemSlice';
-const systemSelector = createSelector(
-  (state: RootState) => state.system,
-  (system: SystemState) => {
-    return {
-      isConnected: system.isConnected,
-      isProcessing: system.isProcessing,
-      currentIteration: system.currentIteration,
-      totalIterations: system.totalIterations,
-      currentStatus: system.currentStatus,
-    };
-  },
-  {
-    memoizeOptions: { resultEqualityCheck: isEqual },
-  }
-);
+import { MdHelp, MdKeyboard, MdSettings } from 'react-icons/md';
+
+import InvokeAILogo from '../../assets/images/logo.png';
+import HotkeysModal from './HotkeysModal/HotkeysModal';
+
+import SettingsModal from './SettingsModal/SettingsModal';
+import StatusIndicator from './StatusIndicator';
 
 /**
  * Header, includes color mode toggle, settings button, status message.
  */
 const SiteHeader = () => {
   const { colorMode, toggleColorMode } = useColorMode();
-  const {
-    isConnected,
-    isProcessing,
-    currentIteration,
-    totalIterations,
-    currentStatus,
-  } = useAppSelector(systemSelector);
 
-  const statusMessageTextColor = isConnected ? 'green.500' : 'red.500';
+  useHotkeys(
+    'shift+d',
+    () => {
+      toggleColorMode();
+    },
+    [colorMode, toggleColorMode]
+  );
 
   const colorModeIcon = colorMode == 'light' ? <FaMoon /> : <FaSun />;
 
   // Make FaMoon and FaSun icon apparent size consistent
   const colorModeIconFontSize = colorMode == 'light' ? 18 : 20;
 
-  let statusMessage = currentStatus;
-
-  if (isProcessing) {
-    if (totalIterations > 1) {
-      statusMessage += ` [${currentIteration}/${totalIterations}]`;
-    }
-  }
-
   return (
-    <Flex minWidth="max-content" alignItems="center" gap="1" pl={2} pr={1}>
-      <Heading size={'lg'}>InvokeUI</Heading>
+    <div className="site-header">
+      <div className="site-header-left-side">
+        <img src={InvokeAILogo} alt="invoke-ai-logo" />
+        <h1>
+          invoke <strong>ai</strong>
+        </h1>
+      </div>
 
-      <Spacer />
+      <div className="site-header-right-side">
+        <StatusIndicator />
 
-      <Text textColor={statusMessageTextColor}>{statusMessage}</Text>
+        <SettingsModal>
+          <IconButton
+            aria-label="Settings"
+            variant="link"
+            fontSize={24}
+            size={'sm'}
+            icon={<MdSettings />}
+          />
+        </SettingsModal>
+
+        <HotkeysModal>
+          <IconButton
+            aria-label="Hotkeys"
+            variant="link"
+            fontSize={24}
+            size={'sm'}
+            icon={<MdKeyboard />}
+          />
+        </HotkeysModal>
 
-      <SettingsModal>
         <IconButton
-          aria-label="Settings"
+          aria-label="Link to Github Issues"
           variant="link"
-          fontSize={24}
+          fontSize={23}
           size={'sm'}
-          icon={<MdSettings />}
+          icon={
+            <Link
+              isExternal
+              href="http://github.com/lstein/stable-diffusion/issues"
+            >
+              <MdHelp />
+            </Link>
+          }
         />
-      </SettingsModal>
 
-      <IconButton
-        aria-label="Link to Github Issues"
-        variant="link"
-        fontSize={23}
-        size={'sm'}
-        icon={
-          <Link
-            isExternal
-            href="http://github.com/lstein/stable-diffusion/issues"
-          >
-            <MdHelp />
-          </Link>
-        }
-      />
+        <IconButton
+          aria-label="Link to Github Repo"
+          variant="link"
+          fontSize={20}
+          size={'sm'}
+          icon={
+            <Link isExternal href="http://github.com/lstein/stable-diffusion">
+              <FaGithub />
+            </Link>
+          }
+        />
 
-      <IconButton
-        aria-label="Link to Github Repo"
-        variant="link"
-        fontSize={20}
-        size={'sm'}
-        icon={
-          <Link isExternal href="http://github.com/lstein/stable-diffusion">
-            <FaGithub />
-          </Link>
-        }
-      />
-
-      <IconButton
-        aria-label="Toggle Dark Mode"
-        onClick={toggleColorMode}
-        variant="link"
-        size={'sm'}
-        fontSize={colorModeIconFontSize}
-        icon={colorModeIcon}
-      />
-    </Flex>
+        <IconButton
+          aria-label="Toggle Dark Mode"
+          onClick={toggleColorMode}
+          variant="link"
+          size={'sm'}
+          fontSize={colorModeIconFontSize}
+          icon={colorModeIcon}
+        />
+      </div>
+    </div>
   );
 };
 
diff --git a/frontend/src/features/system/StatusIndicator.scss b/frontend/src/features/system/StatusIndicator.scss
new file mode 100644
index 0000000000..341d2fcb46
--- /dev/null
+++ b/frontend/src/features/system/StatusIndicator.scss
@@ -0,0 +1,19 @@
+.status {
+  font-size: 0.8rem;
+  font-weight: bold;
+}
+
+.status-good {
+  color: var(--status-good-color);
+  text-shadow: 0 0 10px var(--status-good-glow);
+}
+
+.status-bad {
+  color: var(--status-bad-color);
+  text-shadow: 0 0 10px var(--status-bad-glow);
+}
+
+.status-working {
+  color: var(--status-working-color);
+  text-shadow: 0 0 10px var(--status-working-glow);
+}
diff --git a/frontend/src/features/system/StatusIndicator.tsx b/frontend/src/features/system/StatusIndicator.tsx
new file mode 100644
index 0000000000..edea0038d1
--- /dev/null
+++ b/frontend/src/features/system/StatusIndicator.tsx
@@ -0,0 +1,95 @@
+import { Text, Tooltip } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { RootState, useAppDispatch, useAppSelector } from '../../app/store';
+import { errorSeen, SystemState } from './systemSlice';
+
+const systemSelector = createSelector(
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return {
+      isConnected: system.isConnected,
+      isProcessing: system.isProcessing,
+      currentIteration: system.currentIteration,
+      totalIterations: system.totalIterations,
+      currentStatus: system.currentStatus,
+      hasError: system.hasError,
+      wasErrorSeen: system.wasErrorSeen,
+    };
+  },
+  {
+    memoizeOptions: { resultEqualityCheck: isEqual },
+  }
+);
+
+const StatusIndicator = () => {
+  const {
+    isConnected,
+    isProcessing,
+    currentIteration,
+    totalIterations,
+    currentStatus,
+    hasError,
+    wasErrorSeen,
+  } = useAppSelector(systemSelector);
+  const dispatch = useAppDispatch();
+  // const statusMessageTextColor =
+  //   isConnected && !hasError ? 'green.500' : 'red.500';
+
+  let statusStyle;
+  if (isConnected && !hasError) {
+    statusStyle = 'status-good';
+  } else {
+    statusStyle = 'status-bad';
+  }
+
+  let statusMessage = currentStatus;
+
+  const intermediateStatuses = [
+    'generating',
+    'preparing',
+    'saving image',
+    'restoring faces',
+    'upscaling',
+  ];
+
+  if (intermediateStatuses.includes(statusMessage.toLowerCase())) {
+    statusStyle = 'status-working';
+  }
+
+  if (statusMessage)
+    if (isProcessing) {
+      if (totalIterations > 1) {
+        statusMessage += ` (${currentIteration}/${totalIterations})`;
+      }
+    }
+
+  const tooltipLabel =
+    hasError && !wasErrorSeen
+      ? 'Click to clear, check logs for details'
+      : undefined;
+
+  const statusIndicatorCursor =
+    hasError && !wasErrorSeen ? 'pointer' : 'initial';
+
+  const handleClickStatusIndicator = () => {
+    if (hasError || !wasErrorSeen) {
+      dispatch(errorSeen());
+    }
+  };
+
+  return (
+    <Tooltip label={tooltipLabel}>
+      <Text
+        cursor={statusIndicatorCursor}
+        onClick={handleClickStatusIndicator}
+        className={`status ${statusStyle}`}
+        // textColor={statusMessageTextColor}
+      >
+        {statusMessage}
+      </Text>
+    </Tooltip>
+  );
+};
+
+export default StatusIndicator;
diff --git a/frontend/src/features/system/systemSlice.ts b/frontend/src/features/system/systemSlice.ts
index d041a947f2..af33b7e849 100644
--- a/frontend/src/features/system/systemSlice.ts
+++ b/frontend/src/features/system/systemSlice.ts
@@ -34,6 +34,7 @@ export interface SystemState
   currentStatus: string;
   currentStatusHasSteps: boolean;
   shouldDisplayGuides: boolean;
+  wasErrorSeen: boolean;
 }
 
 const initialSystemState = {
@@ -59,6 +60,8 @@ const initialSystemState = {
   model_hash: '',
   app_id: '',
   app_version: '',
+  hasError: false,
+  wasErrorSeen: true,
 };
 
 const initialState: SystemState = initialSystemState;
@@ -77,12 +80,23 @@ export const systemSlice = createSlice({
       state.currentStatus = action.payload;
     },
     setSystemStatus: (state, action: PayloadAction<InvokeAI.SystemStatus>) => {
-      const currentStatus =
-        !action.payload.isProcessing && state.isConnected
-          ? 'Connected'
-          : action.payload.currentStatus;
-
-      return { ...state, ...action.payload, currentStatus };
+      return { ...state, ...action.payload };
+    },
+    errorOccurred: (state) => {
+      state.hasError = true;
+      state.isProcessing = false;
+      state.currentStep = 0;
+      state.totalSteps = 0;
+      state.currentIteration = 0;
+      state.totalIterations = 0;
+      state.currentStatusHasSteps = false;
+      state.currentStatus = 'Server error';
+      state.wasErrorSeen = false;
+    },
+    errorSeen: (state) => {
+      state.hasError = false;
+      state.wasErrorSeen = true;
+      state.currentStatus = state.isConnected ? 'Connected' : 'Disconnected';
     },
     addLogEntry: (
       state,
@@ -114,6 +128,7 @@ export const systemSlice = createSlice({
       state.currentIteration = 0;
       state.totalIterations = 0;
       state.currentStatusHasSteps = false;
+      state.hasError = false;
     },
     setSocketId: (state, action: PayloadAction<string>) => {
       state.socketId = action.payload;
@@ -130,6 +145,15 @@ export const systemSlice = createSlice({
     setShouldDisplayGuides: (state, action: PayloadAction<boolean>) => {
       state.shouldDisplayGuides = action.payload;
     },
+    processingCanceled: (state) => {
+      state.isProcessing = false;
+      state.currentStep = 0;
+      state.totalSteps = 0;
+      state.currentIteration = 0;
+      state.totalIterations = 0;
+      state.currentStatusHasSteps = false;
+      state.currentStatus = 'Processing canceled';
+    },
   },
 });
 
@@ -146,6 +170,9 @@ export const {
   setCurrentStatus,
   setSystemConfig,
   setShouldDisplayGuides,
+  processingCanceled,
+  errorOccurred,
+  errorSeen,
 } = systemSlice.actions;
 
 export default systemSlice.reducer;
diff --git a/frontend/src/features/tabs/ImageToImage/ImageToImage.scss b/frontend/src/features/tabs/ImageToImage/ImageToImage.scss
new file mode 100644
index 0000000000..d1c444d748
--- /dev/null
+++ b/frontend/src/features/tabs/ImageToImage/ImageToImage.scss
@@ -0,0 +1,132 @@
+@use '../../../styles/Mixins/' as *;
+
+.image-to-image-workarea {
+  display: grid;
+  grid-template-columns: max-content auto max-content;
+  column-gap: 1rem;
+}
+
+.image-to-image-panel {
+  display: grid;
+  row-gap: 1rem;
+  grid-auto-rows: max-content;
+  width: $options-bar-max-width;
+  height: $app-content-height;
+  overflow-y: scroll;
+  @include HideScrollbar;
+}
+
+.image-to-image-strength-main-option {
+  display: grid;
+  grid-template-columns: none !important;
+
+  .number-input-entry {
+    padding: 0 1rem;
+  }
+}
+
+.image-to-image-display {
+  border-radius: 0.5rem;
+  background-color: var(--background-color-secondary);
+  display: grid;
+
+  .current-image-options {
+    grid-auto-columns: max-content;
+    justify-self: center;
+    align-self: start;
+  }
+}
+
+.image-to-image-single-preview {
+  display: grid;
+  column-gap: 0.5rem;
+  padding: 0 1rem;
+  place-content: center;
+}
+
+.image-to-image-dual-preview-container {
+  display: grid;
+  grid-template-areas: 'img2img-preview';
+}
+
+.image-to-image-dual-preview {
+  grid-area: img2img-preview;
+  display: grid;
+  grid-template-columns: 1fr 1fr;
+  column-gap: 0.5rem;
+  padding: 0 1rem;
+  place-content: center;
+
+  .current-image-preview {
+    img {
+      height: calc($app-gallery-height - 2rem);
+      max-height: calc($app-gallery-height - 2rem);
+    }
+  }
+}
+
+.img2img-metadata {
+  grid-area: img2img-preview;
+  z-index: 3;
+}
+
+.init-image-preview {
+  display: grid;
+  grid-template-areas: 'init-image-content';
+  justify-content: center;
+  align-items: center;
+  border-radius: 0.5rem;
+
+  .init-image-preview-header {
+    grid-area: init-image-content;
+    z-index: 2;
+    display: grid;
+    grid-template-columns: auto max-content;
+    height: max-content;
+    align-items: center;
+    align-self: start;
+    padding: 1rem;
+    border-radius: 0.5rem;
+
+    h1 {
+      padding: 0.2rem 0.6rem;
+      border-radius: 0.4rem;
+      background-color: var(--tab-hover-color);
+      width: max-content;
+      font-weight: bold;
+      font-size: 0.85rem;
+    }
+  }
+
+  .init-image-image {
+    grid-area: init-image-content;
+
+    img {
+      border-radius: 0.5rem;
+      object-fit: contain;
+      background-color: var(--img2img-img-bg-color);
+      width: auto;
+      height: calc($app-gallery-height - 2rem);
+      max-height: calc($app-gallery-height - 2rem);
+    }
+  }
+}
+
+.image-to-image-upload-btn {
+  display: grid;
+  width: 100%;
+  height: $app-content-height;
+
+  button {
+    overflow: hidden;
+    width: 100%;
+    height: 100%;
+    font-size: 1.5rem;
+    color: var(--text-color-secondary);
+    background-color: var(--background-color-secondary);
+
+    &:hover {
+      background-color: var(--img2img-img-bg-color);
+    }
+  }
+}
diff --git a/frontend/src/features/tabs/ImageToImage/ImageToImage.tsx b/frontend/src/features/tabs/ImageToImage/ImageToImage.tsx
new file mode 100644
index 0000000000..03a4d35d9a
--- /dev/null
+++ b/frontend/src/features/tabs/ImageToImage/ImageToImage.tsx
@@ -0,0 +1,15 @@
+import React from 'react';
+import ImageGallery from '../../gallery/ImageGallery';
+import ImageToImageDisplay from './ImageToImageDisplay';
+
+import ImageToImagePanel from './ImageToImagePanel';
+
+export default function ImageToImage() {
+  return (
+    <div className="image-to-image-workarea">
+      <ImageToImagePanel />
+      <ImageToImageDisplay />
+      <ImageGallery />
+    </div>
+  );
+}
diff --git a/frontend/src/features/tabs/ImageToImage/ImageToImageDisplay.tsx b/frontend/src/features/tabs/ImageToImage/ImageToImageDisplay.tsx
new file mode 100644
index 0000000000..ae70f4b588
--- /dev/null
+++ b/frontend/src/features/tabs/ImageToImage/ImageToImageDisplay.tsx
@@ -0,0 +1,74 @@
+import React from 'react';
+import { FaUpload } from 'react-icons/fa';
+import { uploadInitialImage } from '../../../app/socketio/actions';
+import { RootState, useAppSelector } from '../../../app/store';
+import InvokeImageUploader from '../../../common/components/InvokeImageUploader';
+import CurrentImageButtons from '../../gallery/CurrentImageButtons';
+import CurrentImagePreview from '../../gallery/CurrentImagePreview';
+import ImageMetadataViewer from '../../gallery/ImageMetaDataViewer/ImageMetadataViewer';
+
+import InitImagePreview from './InitImagePreview';
+
+export default function ImageToImageDisplay() {
+  const initialImagePath = useAppSelector(
+    (state: RootState) => state.options.initialImagePath
+  );
+
+  const { currentImage, intermediateImage } = useAppSelector(
+    (state: RootState) => state.gallery
+  );
+
+  const shouldShowImageDetails = useAppSelector(
+    (state: RootState) => state.options.shouldShowImageDetails
+  );
+
+  const imageToDisplay = intermediateImage || currentImage;
+
+  return (
+    <div
+      className="image-to-image-display"
+      style={
+        imageToDisplay
+          ? { gridAutoRows: 'max-content auto' }
+          : { gridAutoRows: 'auto' }
+      }
+    >
+      {initialImagePath ? (
+        <>
+          {imageToDisplay ? (
+            <>
+              <CurrentImageButtons image={imageToDisplay} />
+              <div className="image-to-image-dual-preview-container">
+                <div className="image-to-image-dual-preview">
+                  <InitImagePreview />
+                  <div className="image-to-image-current-image-display">
+                    <CurrentImagePreview imageToDisplay={imageToDisplay} />
+                  </div>
+                </div>
+                {shouldShowImageDetails && (
+                  <ImageMetadataViewer
+                    image={imageToDisplay}
+                    styleClass="img2img-metadata"
+                  />
+                )}
+              </div>
+            </>
+          ) : (
+            <div className="image-to-image-single-preview">
+              <InitImagePreview />
+            </div>
+          )}
+        </>
+      ) : (
+        <div className="upload-image">
+          <InvokeImageUploader
+            label="Upload or Drop Image Here"
+            icon={<FaUpload />}
+            styleClass="image-to-image-upload-btn"
+            dispatcher={uploadInitialImage}
+          />
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/frontend/src/features/tabs/ImageToImage/ImageToImagePanel.tsx b/frontend/src/features/tabs/ImageToImage/ImageToImagePanel.tsx
new file mode 100644
index 0000000000..41eeb28ad0
--- /dev/null
+++ b/frontend/src/features/tabs/ImageToImage/ImageToImagePanel.tsx
@@ -0,0 +1,78 @@
+import { Box } from '@chakra-ui/react';
+import React from 'react';
+import { Feature } from '../../../app/features';
+import { RootState, useAppSelector } from '../../../app/store';
+import FaceRestore from '../../options/AdvancedOptions/FaceRestore/FaceRestore';
+import FaceRestoreOptions from '../../options/AdvancedOptions/FaceRestore/FaceRestoreOptions';
+import ImageFit from '../../options/AdvancedOptions/ImageToImage/ImageFit';
+import ImageToImageStrength from '../../options/AdvancedOptions/ImageToImage/ImageToImageStrength';
+import SeedOptions from '../../options/AdvancedOptions/Seed/SeedOptions';
+import Upscale from '../../options/AdvancedOptions/Upscale/Upscale';
+import UpscaleOptions from '../../options/AdvancedOptions/Upscale/UpscaleOptions';
+import Variations from '../../options/AdvancedOptions/Variations/Variations';
+import VariationsOptions from '../../options/AdvancedOptions/Variations/VariationsOptions';
+import MainAdvancedOptions from '../../options/MainOptions/MainAdvancedOptions';
+import MainOptions from '../../options/MainOptions/MainOptions';
+import OptionsAccordion from '../../options/OptionsAccordion';
+import OutputOptions from '../../options/OutputOptions';
+import ProcessButtons from '../../options/ProcessButtons/ProcessButtons';
+import PromptInput from '../../options/PromptInput/PromptInput';
+
+export default function ImageToImagePanel() {
+  const showAdvancedOptions = useAppSelector(
+    (state: RootState) => state.options.showAdvancedOptions
+  );
+
+  const imageToImageAccordions = {
+    seed: {
+      header: (
+        <Box flex="1" textAlign="left">
+          Seed
+        </Box>
+      ),
+      feature: Feature.SEED,
+      options: <SeedOptions />,
+    },
+    variations: {
+      header: <Variations />,
+      feature: Feature.VARIATIONS,
+      options: <VariationsOptions />,
+    },
+    face_restore: {
+      header: <FaceRestore />,
+      feature: Feature.FACE_CORRECTION,
+      options: <FaceRestoreOptions />,
+    },
+    upscale: {
+      header: <Upscale />,
+      feature: Feature.UPSCALE,
+      options: <UpscaleOptions />,
+    },
+    other: {
+      header: (
+        <Box flex="1" textAlign="left">
+          Other
+        </Box>
+      ),
+      feature: Feature.OTHER,
+      options: <OutputOptions />,
+    },
+  };
+
+  return (
+    <div className="image-to-image-panel">
+      <PromptInput />
+      <ProcessButtons />
+      <MainOptions />
+      <ImageToImageStrength
+        label="Image To Image Strength"
+        styleClass="main-option-block image-to-image-strength-main-option"
+      />
+      <ImageFit />
+      <MainAdvancedOptions />
+      {showAdvancedOptions ? (
+        <OptionsAccordion accordionInfo={imageToImageAccordions} />
+      ) : null}
+    </div>
+  );
+}
diff --git a/frontend/src/features/tabs/ImageToImage/InitImagePreview.tsx b/frontend/src/features/tabs/ImageToImage/InitImagePreview.tsx
new file mode 100644
index 0000000000..04331c5ec5
--- /dev/null
+++ b/frontend/src/features/tabs/ImageToImage/InitImagePreview.tsx
@@ -0,0 +1,37 @@
+import { IconButton, Image } from '@chakra-ui/react';
+import React, { SyntheticEvent } from 'react';
+import { MdClear } from 'react-icons/md';
+import { RootState, useAppDispatch, useAppSelector } from '../../../app/store';
+import { setInitialImagePath } from '../../options/optionsSlice';
+
+export default function InitImagePreview() {
+  const initialImagePath = useAppSelector(
+    (state: RootState) => state.options.initialImagePath
+  );
+
+  const dispatch = useAppDispatch();
+
+  const handleClickResetInitialImage = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    dispatch(setInitialImagePath(null));
+  };
+  return (
+    <div className="init-image-preview">
+      <div className="init-image-preview-header">
+        <h1>Initial Image</h1>
+        <IconButton
+          isDisabled={!initialImagePath}
+          size={'sm'}
+          aria-label={'Reset Initial Image'}
+          onClick={handleClickResetInitialImage}
+          icon={<MdClear />}
+        />
+      </div>
+      {initialImagePath && (
+        <div className="init-image-image">
+          <Image fit={'contain'} src={initialImagePath} rounded={'md'} />
+        </div>
+      )}
+    </div>
+  );
+}
diff --git a/frontend/src/features/tabs/ImageToImage/InitialImageOverlay.tsx b/frontend/src/features/tabs/ImageToImage/InitialImageOverlay.tsx
new file mode 100644
index 0000000000..acc49a701f
--- /dev/null
+++ b/frontend/src/features/tabs/ImageToImage/InitialImageOverlay.tsx
@@ -0,0 +1,18 @@
+import { Image } from '@chakra-ui/react';
+import React from 'react';
+import { RootState, useAppSelector } from '../../../app/store';
+
+export default function InitialImageOverlay() {
+  const initialImagePath = useAppSelector(
+    (state: RootState) => state.options.initialImagePath
+  );
+
+  return initialImagePath ? (
+    <Image
+      fit={'contain'}
+      src={initialImagePath}
+      rounded={'md'}
+      className={'checkerboard'}
+    />
+  ) : null;
+}
diff --git a/frontend/src/features/tabs/InvokeTabs.scss b/frontend/src/features/tabs/InvokeTabs.scss
new file mode 100644
index 0000000000..3ac4bd78aa
--- /dev/null
+++ b/frontend/src/features/tabs/InvokeTabs.scss
@@ -0,0 +1,43 @@
+@use '../../styles/Mixins/' as *;
+
+.app-tabs {
+  display: grid !important;
+  grid-template-columns: min-content auto;
+  column-gap: 1rem;
+}
+
+.app-tabs-list {
+  display: grid;
+  row-gap: 0.3rem;
+  grid-auto-rows: max-content;
+  color: var(--tab-list-text-inactive);
+
+  button {
+    font-size: 0.85rem;
+    padding: 0.5rem;
+
+    &:hover {
+      background-color: var(--tab-hover-color);
+      border-radius: 0.3rem;
+    }
+
+    svg {
+      width: 26px;
+      height: 26px;
+    }
+
+    &[aria-selected='true'] {
+      background-color: var(--tab-list-bg);
+      color: var(--tab-list-text);
+      font-weight: bold;
+      border-radius: 0.3rem;
+      border: none;
+    }
+  }
+}
+
+.app-tabs-panels {
+  .app-tabs-panel {
+    padding: 0;
+  }
+}
diff --git a/frontend/src/features/tabs/InvokeTabs.tsx b/frontend/src/features/tabs/InvokeTabs.tsx
new file mode 100644
index 0000000000..1797fcf260
--- /dev/null
+++ b/frontend/src/features/tabs/InvokeTabs.tsx
@@ -0,0 +1,128 @@
+import { Tab, TabPanel, TabPanels, Tabs, Tooltip } from '@chakra-ui/react';
+import _ from 'lodash';
+import React, { ReactElement } from 'react';
+import { useHotkeys } from 'react-hotkeys-hook';
+import { RootState, useAppDispatch, useAppSelector } from '../../app/store';
+import InpaintingWIP from '../../common/components/WorkInProgress/InpaintingWIP';
+import NodesWIP from '../../common/components/WorkInProgress/NodesWIP';
+import OutpaintingWIP from '../../common/components/WorkInProgress/OutpaintingWIP';
+import { PostProcessingWIP } from '../../common/components/WorkInProgress/PostProcessingWIP';
+import ImageToImageIcon from '../../common/icons/ImageToImageIcon';
+import InpaintIcon from '../../common/icons/InpaintIcon';
+import NodesIcon from '../../common/icons/NodesIcon';
+import OutpaintIcon from '../../common/icons/OutpaintIcon';
+import PostprocessingIcon from '../../common/icons/PostprocessingIcon';
+import TextToImageIcon from '../../common/icons/TextToImageIcon';
+import { setActiveTab } from '../options/optionsSlice';
+import ImageToImage from './ImageToImage/ImageToImage';
+import TextToImage from './TextToImage/TextToImage';
+
+export const tab_dict = {
+  txt2img: {
+    title: <TextToImageIcon fill={'black'} boxSize={'2.5rem'} />,
+    panel: <TextToImage />,
+    tooltip: 'Text To Image',
+  },
+  img2img: {
+    title: <ImageToImageIcon fill={'black'} boxSize={'2.5rem'} />,
+    panel: <ImageToImage />,
+    tooltip: 'Image To Image',
+  },
+  inpainting: {
+    title: <InpaintIcon fill={'black'} boxSize={'2.5rem'} />,
+    panel: <InpaintingWIP />,
+    tooltip: 'Inpainting',
+  },
+  outpainting: {
+    title: <OutpaintIcon fill={'black'} boxSize={'2.5rem'} />,
+    panel: <OutpaintingWIP />,
+    tooltip: 'Outpainting',
+  },
+  nodes: {
+    title: <NodesIcon fill={'black'} boxSize={'2.5rem'} />,
+    panel: <NodesWIP />,
+    tooltip: 'Nodes',
+  },
+  postprocess: {
+    title: <PostprocessingIcon fill={'black'} boxSize={'2.5rem'} />,
+    panel: <PostProcessingWIP />,
+    tooltip: 'Post Processing',
+  },
+};
+
+export const tabMap = _.map(tab_dict, (tab, key) => key);
+
+export default function InvokeTabs() {
+  const activeTab = useAppSelector(
+    (state: RootState) => state.options.activeTab
+  );
+  const dispatch = useAppDispatch();
+
+  useHotkeys('1', () => {
+    dispatch(setActiveTab(0));
+  });
+
+  useHotkeys('2', () => {
+    dispatch(setActiveTab(1));
+  });
+
+  useHotkeys('3', () => {
+    dispatch(setActiveTab(2));
+  });
+
+  useHotkeys('4', () => {
+    dispatch(setActiveTab(3));
+  });
+
+  useHotkeys('5', () => {
+    dispatch(setActiveTab(4));
+  });
+
+  useHotkeys('6', () => {
+    dispatch(setActiveTab(5));
+  });
+
+  const renderTabs = () => {
+    const tabsToRender: ReactElement[] = [];
+    Object.keys(tab_dict).forEach((key) => {
+      tabsToRender.push(
+        <Tooltip
+          key={key}
+          label={tab_dict[key as keyof typeof tab_dict].tooltip}
+          placement={'right'}
+        >
+          <Tab>{tab_dict[key as keyof typeof tab_dict].title}</Tab>
+        </Tooltip>
+      );
+    });
+    return tabsToRender;
+  };
+
+  const renderTabPanels = () => {
+    const tabPanelsToRender: ReactElement[] = [];
+    Object.keys(tab_dict).forEach((key) => {
+      tabPanelsToRender.push(
+        <TabPanel className="app-tabs-panel" key={key}>
+          {tab_dict[key as keyof typeof tab_dict].panel}
+        </TabPanel>
+      );
+    });
+    return tabPanelsToRender;
+  };
+
+  return (
+    <Tabs
+      isLazy
+      className="app-tabs"
+      variant={'unstyled'}
+      defaultIndex={activeTab}
+      index={activeTab}
+      onChange={(index: number) => {
+        dispatch(setActiveTab(index));
+      }}
+    >
+      <div className="app-tabs-list">{renderTabs()}</div>
+      <TabPanels className="app-tabs-panels">{renderTabPanels()}</TabPanels>
+    </Tabs>
+  );
+}
diff --git a/frontend/src/features/tabs/TextToImage/TextToImage.scss b/frontend/src/features/tabs/TextToImage/TextToImage.scss
new file mode 100644
index 0000000000..af67928b5b
--- /dev/null
+++ b/frontend/src/features/tabs/TextToImage/TextToImage.scss
@@ -0,0 +1,16 @@
+@use '../../../styles/Mixins/' as *;
+
+.text-to-image-workarea {
+  display: grid;
+  grid-template-columns: max-content auto max-content;
+  column-gap: 1rem;
+}
+
+.text-to-image-panel {
+  display: grid;
+  row-gap: 1rem;
+  grid-auto-rows: max-content;
+  height: $app-content-height;
+  overflow-y: scroll;
+  @include HideScrollbar;
+}
diff --git a/frontend/src/features/tabs/TextToImage/TextToImage.tsx b/frontend/src/features/tabs/TextToImage/TextToImage.tsx
new file mode 100644
index 0000000000..476bed6e63
--- /dev/null
+++ b/frontend/src/features/tabs/TextToImage/TextToImage.tsx
@@ -0,0 +1,14 @@
+import React from 'react';
+import CurrentImageDisplay from '../../gallery/CurrentImageDisplay';
+import ImageGallery from '../../gallery/ImageGallery';
+import TextToImagePanel from './TextToImagePanel';
+
+export default function TextToImage() {
+  return (
+    <div className="text-to-image-workarea">
+      <TextToImagePanel />
+      <CurrentImageDisplay />
+      <ImageGallery />
+    </div>
+  );
+}
diff --git a/frontend/src/features/tabs/TextToImage/TextToImagePanel.tsx b/frontend/src/features/tabs/TextToImage/TextToImagePanel.tsx
new file mode 100644
index 0000000000..d4b3b722b6
--- /dev/null
+++ b/frontend/src/features/tabs/TextToImage/TextToImagePanel.tsx
@@ -0,0 +1,78 @@
+import { Box } from '@chakra-ui/react';
+import React from 'react';
+import { Feature } from '../../../app/features';
+import { RootState, useAppSelector } from '../../../app/store';
+import FaceRestore from '../../options/AdvancedOptions/FaceRestore/FaceRestore';
+import FaceRestoreOptions from '../../options/AdvancedOptions/FaceRestore/FaceRestoreOptions';
+import ImageToImageAccordion from '../../options/AdvancedOptions/ImageToImage/ImageToImageAccordion';
+import ImageToImageOptions from '../../options/AdvancedOptions/ImageToImage/ImageToImageOptions';
+import SeedOptions from '../../options/AdvancedOptions/Seed/SeedOptions';
+import Upscale from '../../options/AdvancedOptions/Upscale/Upscale';
+import UpscaleOptions from '../../options/AdvancedOptions/Upscale/UpscaleOptions';
+import Variations from '../../options/AdvancedOptions/Variations/Variations';
+import VariationsOptions from '../../options/AdvancedOptions/Variations/VariationsOptions';
+import MainAdvancedOptions from '../../options/MainOptions/MainAdvancedOptions';
+import MainOptions from '../../options/MainOptions/MainOptions';
+import OptionsAccordion from '../../options/OptionsAccordion';
+import OutputOptions from '../../options/OutputOptions';
+import ProcessButtons from '../../options/ProcessButtons/ProcessButtons';
+import PromptInput from '../../options/PromptInput/PromptInput';
+
+export default function TextToImagePanel() {
+  const showAdvancedOptions = useAppSelector(
+    (state: RootState) => state.options.showAdvancedOptions
+  );
+
+  const textToImageAccordions = {
+    seed: {
+      header: (
+        <Box flex="1" textAlign="left">
+          Seed
+        </Box>
+      ),
+      feature: Feature.SEED,
+      options: <SeedOptions />,
+    },
+    variations: {
+      header: <Variations />,
+      feature: Feature.VARIATIONS,
+      options: <VariationsOptions />,
+    },
+    face_restore: {
+      header: <FaceRestore />,
+      feature: Feature.FACE_CORRECTION,
+      options: <FaceRestoreOptions />,
+    },
+    upscale: {
+      header: <Upscale />,
+      feature: Feature.UPSCALE,
+      options: <UpscaleOptions />,
+    },
+    // img2img: {
+    //   header: <ImageToImageAccordion />,
+    //   feature: Feature.IMAGE_TO_IMAGE,
+    //   options: <ImageToImageOptions />,
+    // },
+    other: {
+      header: (
+        <Box flex="1" textAlign="left">
+          Other
+        </Box>
+      ),
+      feature: Feature.OTHER,
+      options: <OutputOptions />,
+    },
+  };
+
+  return (
+    <div className="text-to-image-panel">
+      <PromptInput />
+      <ProcessButtons />
+      <MainOptions />
+      <MainAdvancedOptions />
+      {showAdvancedOptions ? (
+        <OptionsAccordion accordionInfo={textToImageAccordions} />
+      ) : null}
+    </div>
+  );
+}
diff --git a/frontend/src/main.tsx b/frontend/src/main.tsx
index 5593845be8..2036ed99bc 100644
--- a/frontend/src/main.tsx
+++ b/frontend/src/main.tsx
@@ -12,6 +12,9 @@ import { theme } from './app/theme';
 import Loading from './Loading';
 import App from './app/App';
 
+// Custom Styling
+import './styles/index.scss';
+
 ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(
   <React.StrictMode>
     <Provider store={store}>
diff --git a/frontend/src/styles/Mixins/Buttons.scss b/frontend/src/styles/Mixins/Buttons.scss
new file mode 100644
index 0000000000..d10172a215
--- /dev/null
+++ b/frontend/src/styles/Mixins/Buttons.scss
@@ -0,0 +1,28 @@
+@mixin Button(
+  $btn-color: rgb(45, 45, 55),
+  $btn-color-hover: rgb(65, 65, 75),
+  $btn-width: 100%,
+  $btn-height: 100%,
+  $icon-size: 20px
+) {
+  min-width: $btn-width;
+  min-height: $btn-height;
+  background-color: $btn-color;
+
+  &:hover {
+    background-color: $btn-color-hover;
+  }
+
+  &:disabled {
+    background-color: rgb(45, 45, 55);
+    &:hover {
+      background-color: rgb(45, 45, 55);
+    }
+  }
+
+  svg {
+    width: $icon-size;
+    height: $icon-size;
+    color: var(--btn-svg-color);
+  }
+}
diff --git a/frontend/src/styles/Mixins/_Shared.scss b/frontend/src/styles/Mixins/_Shared.scss
new file mode 100644
index 0000000000..1317ce19dd
--- /dev/null
+++ b/frontend/src/styles/Mixins/_Shared.scss
@@ -0,0 +1,7 @@
+@mixin HideScrollbar {
+  -ms-overflow-style: none;
+  scrollbar-width: none;
+  &::-webkit-scrollbar {
+    display: none;
+  }
+}
diff --git a/frontend/src/styles/Mixins/_Variables.scss b/frontend/src/styles/Mixins/_Variables.scss
new file mode 100644
index 0000000000..cf7691669a
--- /dev/null
+++ b/frontend/src/styles/Mixins/_Variables.scss
@@ -0,0 +1,14 @@
+// Calc Values
+$app-cutoff: 1.6rem;
+$app-content-height-cutoff: 7rem; // default: 7rem
+
+// Usage Variables
+// app
+$app-width: calc(100vw - $app-cutoff);
+$app-height: calc(100vh - $app-cutoff);
+$app-content-height: calc(100vh - $app-content-height-cutoff);
+$app-gallery-height: calc(100vh - ($app-content-height-cutoff + 6rem));
+$app-metadata-height: calc(100vh - ($app-content-height-cutoff + 4.4rem));
+
+// option bar
+$options-bar-max-width: 22.5rem;
diff --git a/frontend/src/styles/Mixins/index.scss b/frontend/src/styles/Mixins/index.scss
new file mode 100644
index 0000000000..53cf03adf2
--- /dev/null
+++ b/frontend/src/styles/Mixins/index.scss
@@ -0,0 +1,3 @@
+@forward './Shared';
+@forward './Buttons';
+@forward './Variables';
diff --git a/frontend/src/styles/_Colors_Dark.scss b/frontend/src/styles/_Colors_Dark.scss
new file mode 100644
index 0000000000..83e5f41678
--- /dev/null
+++ b/frontend/src/styles/_Colors_Dark.scss
@@ -0,0 +1,95 @@
+[data-theme='dark'] {
+  // General Colors
+  --white: rgb(255, 255, 255);
+
+  // App Colors
+  --root-bg-color: rgb(10, 10, 10);
+  --background-color: rgb(20, 20, 26);
+  --background-color-secondary: rgb(16, 16, 22);
+
+  --text-color: rgb(255, 255, 255);
+  --text-color-secondary: rgb(160, 162, 188);
+
+  --subtext-color: rgb(24, 24, 34);
+  --subtext-color-bright: rgb(48, 48, 64);
+
+  --border-color: rgb(30, 30, 46);
+  --border-color-light: rgb(60, 60, 76);
+
+  --invalid: rgb(255, 75, 75);
+  --invalid-secondary: rgb(120, 5, 5);
+
+  // Error status colors
+  --border-color-invalid: rgb(255, 80, 50);
+  --box-shadow-color-invalid: rgb(210, 30, 10);
+
+  --svg-color: rgb(24, 24, 34);
+
+  // Progress Bar Color
+  --progress-bar-color: rgb(100, 50, 245);
+
+  // Prompt Box Colors
+  --prompt-bg-color: rgb(10, 10, 10);
+  --prompt-border-color: rgb(140, 110, 255);
+  --prompt-box-shadow-color: rgb(80, 30, 210);
+
+  // Button Colors
+  --btn-svg-color: rgb(255, 255, 255);
+
+  --btn-grey: rgb(30, 32, 42);
+  --btn-grey-hover: rgb(46, 48, 68);
+
+  --btn-purple: rgb(80, 40, 200);
+  --btn-purple-hover: rgb(104, 60, 230);
+
+  --btn-red: rgb(185, 55, 55);
+  --btn-red-hover: rgb(255, 75, 75);
+
+  --btn-load-more: rgb(30, 32, 42);
+  --btn-load-more-hover: rgb(36, 38, 48);
+
+  // Switch
+  --switch-bg-color: rgb(100, 102, 110);
+  --switch-bg-active-color: rgb(80, 40, 200);
+
+  // Tabs
+  --tab-color: rgb(30, 32, 42);
+  --tab-hover-color: rgb(36, 38, 48);
+  --tab-list-bg: rgb(100, 50, 255);
+  --tab-list-text: rgb(20, 20, 20);
+  --tab-list-text-inactive: rgb(92, 94, 114);
+  --tab-panel-bg: rgb(20, 22, 28);
+
+  // Metadata Viewer
+  --metadata-bg-color: rgba(0, 0, 0, 0.7);
+  --metadata-json-bg-color: rgba(255, 255, 255, 0.1);
+
+  // Status Message
+  --status-good-color: rgb(125, 255, 100);
+  --status-good-glow: rgb(40, 215, 40);
+  --status-working-color: rgb(255, 175, 55);
+  --status-working-glow: rgb(255, 160, 55);
+  --status-bad-color: rgb(255, 90, 90);
+  --status-bad-glow: rgb(255, 40, 40);
+
+  // Settings Modal
+  --settings-modal-bg: rgb(30, 32, 42);
+
+  // Input
+  --input-checkbox-bg: rgb(90, 90, 120);
+  --input-checkbox-checked-bg: rgb(80, 40, 200);
+  --input-checkbox-checked-tick: rgb(0, 0, 0);
+
+  // Console
+  --error-level-info: rgb(200, 202, 224);
+  --error-level-warning: rgb(255, 225, 105);
+  --error-level-error: rgb(255, 81, 46);
+  --console-bg-color: rgb(30, 30, 36);
+  --console-border-color: rgb(80, 82, 112);
+
+  --console-icon-button-bg-color: rgb(50, 53, 64);
+  --console-icon-button-bg-color-hover: rgb(70, 73, 84);
+
+  // Img2Img
+  --img2img-img-bg-color: rgb(30, 32, 42);
+}
diff --git a/frontend/src/styles/_Colors_Light.scss b/frontend/src/styles/_Colors_Light.scss
new file mode 100644
index 0000000000..4d394cf601
--- /dev/null
+++ b/frontend/src/styles/_Colors_Light.scss
@@ -0,0 +1,94 @@
+[data-theme='light'] {
+  // General Colors
+  --white: rgb(255, 255, 255);
+
+  // App Colors
+  --root-bg-color: rgb(255, 255, 255);
+  --background-color: rgb(220, 222, 224);
+  --background-color-secondary: rgb(204, 206, 208);
+
+  --text-color: rgb(0, 0, 0);
+  --text-color-secondary: rgb(40, 40, 40);
+
+  --subtext-color: rgb(24, 24, 34);
+  --subtext-color-bright: rgb(142, 144, 146);
+
+  --border-color: rgb(200, 200, 200);
+  --border-color-light: rgb(147, 147, 147);
+
+  --invalid: rgb(255, 75, 75);
+  --invalid-secondary: rgb(120, 5, 5);
+
+  // Error status colors
+  --border-color-invalid: rgb(255, 80, 50);
+  --box-shadow-color-invalid: none;
+
+  --svg-color: rgb(186, 188, 190);
+
+  // Progress Bar Color
+  --progress-bar-color: rgb(235, 185, 5);
+
+  // Prompt Box Colors
+  --prompt-bg-color: rgb(225, 227, 229);
+  --prompt-border-color: rgb(0, 0, 0);
+  --prompt-box-shadow-color: rgb(217, 217, 217);
+
+  // Button Colors
+  --btn-svg-color: rgb(0, 0, 0);
+
+  --btn-grey: rgb(220, 222, 224);
+  --btn-grey-hover: rgb(230, 232, 234);
+
+  --btn-purple: rgb(235, 185, 5);
+  --btn-purple-hover: rgb(255, 200, 0);
+
+  --btn-red: rgb(237, 51, 51);
+  --btn-red-hover: rgb(255, 55, 55);
+
+  --btn-load-more: rgb(202, 204, 206);
+  --btn-load-more-hover: rgb(206, 208, 210);
+
+  // Switch
+  --switch-bg-color: rgb(178, 180, 182);
+  --switch-bg-active-color: rgb(235, 185, 5);
+
+  // Tabs
+  --tab-color: rgb(202, 204, 206);
+  --tab-hover-color: rgb(206, 208, 210);
+  --tab-list-bg: rgb(235, 185, 5);
+  --tab-list-text: rgb(0, 0, 0);
+  --tab-list-text-inactive: rgb(106, 108, 110);
+  --tab-panel-bg: rgb(214, 216, 218);
+
+  // Metadata Viewer
+  --metadata-bg-color: rgba(230, 230, 230, 0.9);
+  --metadata-json-bg-color: rgba(0, 0, 0, 0.1);
+
+  // Status Message
+  --status-good-color: rgb(21, 126, 0);
+  --status-good-glow: var(--background-color);
+  --status-working-color: rgb(235, 141, 0);
+  --status-working-glow: var(--background-color);
+  --status-bad-color: rgb(202, 0, 0);
+  --status-bad-glow: var(--background-color);
+
+  // Settings Modal
+  --settings-modal-bg: rgb(202, 204, 206);
+
+  // Input
+  --input-checkbox-bg: rgb(90, 90, 120);
+  --input-checkbox-checked-bg: rgb(235, 185, 5);
+  --input-checkbox-checked-tick: rgb(0, 0, 0);
+
+  // Console
+  --error-level-info: rgb(42, 42, 42);
+  --error-level-warning: rgb(173, 121, 0);
+  --error-level-error: rgb(145, 14, 0);
+  --console-bg-color: rgb(220, 224, 230);
+  --console-border-color: rgb(160, 162, 164);
+  --console-icon-button-bg-color: var(--switch-bg-color);
+  --console-icon-button-bg-color-hover: var(--console-border-color);
+
+  // Img2Img
+  --img2img-img-bg-color: rgb(180, 182, 184);
+}
diff --git a/frontend/src/styles/_Fonts.scss b/frontend/src/styles/_Fonts.scss
new file mode 100644
index 0000000000..fea170026b
--- /dev/null
+++ b/frontend/src/styles/_Fonts.scss
@@ -0,0 +1,15 @@
+@font-face {
+  font-family: 'Inter';
+  src: url(../assets/fonts/Inter/Inter.ttf);
+  font-display: swap;
+  font-weight: 400;
+  font-style: normal;
+}
+
+@font-face {
+  font-family: 'Inter';
+  src: url(../assets/fonts/Inter/Inter-Bold.ttf);
+  font-display: swap;
+  font-weight: 600;
+  font-style: normal;
+}
diff --git a/frontend/src/styles/index.scss b/frontend/src/styles/index.scss
new file mode 100644
index 0000000000..b18cc3101a
--- /dev/null
+++ b/frontend/src/styles/index.scss
@@ -0,0 +1,65 @@
+// General Imports
+@use 'Colors_Dark';
+@use 'Colors_Light';
+@use 'Fonts';
+
+// Component Styles
+//app
+@use '../app/App.scss';
+
+//systen
+@use '../features/system/SiteHeader.scss';
+@use '../features/system/StatusIndicator.scss';
+@use '../features/system/SettingsModal/SettingsModal.scss';
+@use '../features/system/HotkeysModal/HotkeysModal.scss';
+@use '../features/system/Console.scss';
+
+// options
+@use '../features/options/PromptInput/PromptInput.scss';
+@use '../features/options/ProcessButtons/ProcessButtons.scss';
+@use '../features/options/MainOptions/MainOptions.scss';
+@use '../features/options/AccordionItems/AdvancedSettings.scss';
+@use '../features/options/AdvancedOptions/Upscale/UpscaleOptions.scss';
+@use '../features/system/ProgressBar.scss';
+
+// gallery
+@use '../features/gallery/CurrentImageDisplay.scss';
+@use '../features/gallery/ImageGallery.scss';
+@use '../features/gallery/InvokePopover.scss';
+@use '../features/gallery/ImageMetaDataViewer/ImageMetadataViewer.scss';
+
+// Tabs
+@use '../features/tabs/InvokeTabs.scss';
+@use '../features/tabs/TextToImage/TextToImage.scss';
+@use '../features/tabs/ImageToImage/ImageToImage.scss';
+
+// Component Shared
+@use '../common/components/IAINumberInput.scss';
+@use '../common/components/IAIInput.scss';
+@use '../common/components/IAISelect.scss';
+@use '../common/components/IAISwitch.scss';
+@use '../common/components/WorkInProgress/WorkInProgress.scss';
+@use '../common/components/GuidePopover.scss';
+
+// Shared Styles
+@use './Mixins/' as *;
+
+*,
+*::before,
+*::after {
+  box-sizing: border-box;
+  margin: 0;
+  padding: 0;
+}
+
+html,
+body {
+  @include HideScrollbar;
+  background-color: var(--root-bg-color);
+}
+
+#root {
+  background-color: var(--root-bg-color);
+  color: var(--text-color);
+  font-family: 'Inter', Arial, Helvetica, sans-serif;
+}
diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts
index 643de3454a..6b96a2d3a6 100644
--- a/frontend/vite.config.ts
+++ b/frontend/vite.config.ts
@@ -14,6 +14,12 @@ export default defineConfig(({ mode }) => {
           changeOrigin: true,
           rewrite: (path) => path.replace(/^\/outputs/, ''),
         },
+        '/flaskwebgui-keep-server-alive': {
+          target: 'http://127.0.0.1:9090/flaskwebgui-keep-server-alive',
+          changeOrigin: true,
+          rewrite: (path) =>
+            path.replace(/^\/flaskwebgui-keep-server-alive/, ''),
+        },
         // Proxy socket.io to the flask-socketio server
         '/socket.io': {
           target: 'ws://127.0.0.1:9090',
diff --git a/frontend/yarn.lock b/frontend/yarn.lock
index 1286741991..7780b4125d 100644
--- a/frontend/yarn.lock
+++ b/frontend/yarn.lock
@@ -1288,6 +1288,16 @@
   resolved "https://registry.yarnpkg.com/@socket.io/component-emitter/-/component-emitter-3.1.0.tgz#96116f2a912e0c02817345b3c10751069920d553"
   integrity sha512-+9jVqKhRSpsc591z5vX+X5Yyw+he/HCB4iQ/RYxw35CEPaY1gnsNE43nf9n9AaYjAQrTiI/mOwKUKdUs9vf7Xg==
 
+"@types/cookie@^0.4.1":
+  version "0.4.1"
+  resolved "https://registry.yarnpkg.com/@types/cookie/-/cookie-0.4.1.tgz#bfd02c1f2224567676c1545199f87c3a861d878d"
+  integrity sha512-XW/Aa8APYr6jSVVA1y/DEIZX0/GMKLEVekNG727R8cs56ahETkRAy/3DR7+fJyh7oUgGwNQaRfXCun0+KbWY7Q==
+
+"@types/cors@^2.8.12":
+  version "2.8.12"
+  resolved "https://registry.yarnpkg.com/@types/cors/-/cors-2.8.12.tgz#6b2c510a7ad7039e98e7b8d3d6598f4359e5c080"
+  integrity sha512-vt+kDhq/M2ayberEtJcIN/hxXy1Pk+59g2FV/ZQceeaTyCtCucjL2Q7FXlFjtWn4n15KCr1NE2lNNFhp0lEThw==
+
 "@types/dateformat@^5.0.0":
   version "5.0.0"
   resolved "https://registry.yarnpkg.com/@types/dateformat/-/dateformat-5.0.0.tgz#17ce64b0318f3f36d1c830c58a7a915445f1f93d"
@@ -1331,6 +1341,11 @@
   resolved "https://registry.yarnpkg.com/@types/lodash/-/lodash-4.14.185.tgz#c9843f5a40703a8f5edfd53358a58ae729816908"
   integrity sha512-evMDG1bC4rgQg4ku9tKpuMh5iBNEwNa3tf9zRHdP1qlv+1WUg44xat4IxCE14gIpZRGUUWAx2VhItCZc25NfMA==
 
+"@types/node@>=10.0.0":
+  version "18.7.18"
+  resolved "https://registry.yarnpkg.com/@types/node/-/node-18.7.18.tgz#633184f55c322e4fb08612307c274ee6d5ed3154"
+  integrity sha512-m+6nTEOadJZuTPkKR/SYK3A2d7FZrgElol9UP1Kae90VVU4a6mxnPuLiIW1m4Cq4gZ/nWb9GrdVXJCoCazDAbg==
+
 "@types/parse-json@^4.0.0":
   version "4.0.0"
   resolved "https://registry.yarnpkg.com/@types/parse-json/-/parse-json-4.0.0.tgz#2f8bb441434d163b35fb8ffdccd7138927ffb8c0"
@@ -1476,6 +1491,14 @@
   resolved "https://registry.yarnpkg.com/@zag-js/focus-visible/-/focus-visible-0.1.0.tgz#9777bbaff8316d0b3a14a9095631e1494f69dbc7"
   integrity sha512-PeaBcTmdZWcFf7n1aM+oiOdZc+sy14qi0emPIeUuGMTjbP0xLGrZu43kdpHnWSXy7/r4Ubp/vlg50MCV8+9Isg==
 
+accepts@~1.3.4:
+  version "1.3.8"
+  resolved "https://registry.yarnpkg.com/accepts/-/accepts-1.3.8.tgz#0bf0be125b67014adcb0b0921e62db7bffe16b2e"
+  integrity sha512-PYAthTa2m2VKxuvSD3DPC/Gy+U+sOA1LAuT8mkmRuvw+NACSaeXEQ+NHcVF7rONl6qcaxV3Uuemwawk+7+SJLw==
+  dependencies:
+    mime-types "~2.1.34"
+    negotiator "0.6.3"
+
 acorn-jsx@^5.3.2:
   version "5.3.2"
   resolved "https://registry.yarnpkg.com/acorn-jsx/-/acorn-jsx-5.3.2.tgz#7ed5bb55908b3b2f1bc55c6af1653bada7f07937"
@@ -1515,6 +1538,14 @@ ansi-styles@^4.1.0:
   dependencies:
     color-convert "^2.0.1"
 
+anymatch@~3.1.2:
+  version "3.1.2"
+  resolved "https://registry.yarnpkg.com/anymatch/-/anymatch-3.1.2.tgz#c0557c096af32f106198f4f4e2a383537e378716"
+  integrity sha512-P43ePfOAIupkguHUycrc4qJ9kz8ZiuOUijaETwX7THt0Y/GNK7v0aa8rY816xWjZ7rJdA5XdMcpVFTKMq+RvWg==
+  dependencies:
+    normalize-path "^3.0.0"
+    picomatch "^2.0.4"
+
 argparse@^2.0.1:
   version "2.0.1"
   resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
@@ -1551,6 +1582,16 @@ balanced-match@^1.0.0:
   resolved "https://registry.yarnpkg.com/balanced-match/-/balanced-match-1.0.2.tgz#e83e3a7e3f300b34cb9d87f615fa0cbf357690ee"
   integrity sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==
 
+base64id@2.0.0, base64id@~2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/base64id/-/base64id-2.0.0.tgz#2770ac6bc47d312af97a8bf9a634342e0cd25cb6"
+  integrity sha512-lGe34o6EHj9y3Kts9R4ZYs/Gr+6N7MCaMlIFA3F1R2O5/m7K06AxfSeO5530PEERE6/WyEg3lsuyw4GHlPZHog==
+
+binary-extensions@^2.0.0:
+  version "2.2.0"
+  resolved "https://registry.yarnpkg.com/binary-extensions/-/binary-extensions-2.2.0.tgz#75f502eeaf9ffde42fc98829645be4ea76bd9e2d"
+  integrity sha512-jDctJ/IVQbZoJykoeHbhXpOlNBqGNcwXJKJog42E5HDPUwQTSdjCHdihjj0DlnheQ7blbT6dHOafNAiS8ooQKA==
+
 brace-expansion@^1.1.7:
   version "1.1.11"
   resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-1.1.11.tgz#3c7fcbf529d87226f3d2f52b966ff5271eb441dd"
@@ -1559,7 +1600,7 @@ brace-expansion@^1.1.7:
     balanced-match "^1.0.0"
     concat-map "0.0.1"
 
-braces@^3.0.2:
+braces@^3.0.2, braces@~3.0.2:
   version "3.0.2"
   resolved "https://registry.yarnpkg.com/braces/-/braces-3.0.2.tgz#3454e1a462ee8d599e236df336cd9ea4f8afe107"
   integrity sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==
@@ -1603,6 +1644,21 @@ chalk@^4.0.0:
     ansi-styles "^4.1.0"
     supports-color "^7.1.0"
 
+"chokidar@>=3.0.0 <4.0.0":
+  version "3.5.3"
+  resolved "https://registry.yarnpkg.com/chokidar/-/chokidar-3.5.3.tgz#1cf37c8707b932bd1af1ae22c0432e2acd1903bd"
+  integrity sha512-Dr3sfKRP6oTcjf2JmUmFJfeVMvXBdegxB0iVQ5eb2V10uFJUCAS8OByZdVAyVb8xXNz3GjjTgj9kLWsZTqE6kw==
+  dependencies:
+    anymatch "~3.1.2"
+    braces "~3.0.2"
+    glob-parent "~5.1.2"
+    is-binary-path "~2.1.0"
+    is-glob "~4.0.1"
+    normalize-path "~3.0.0"
+    readdirp "~3.6.0"
+  optionalDependencies:
+    fsevents "~2.3.2"
+
 color-convert@^1.9.0:
   version "1.9.3"
   resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-1.9.3.tgz#bb71850690e1f136567de629d2d5471deda4c1e8"
@@ -1644,6 +1700,11 @@ convert-source-map@^1.5.0, convert-source-map@^1.7.0:
   dependencies:
     safe-buffer "~5.1.1"
 
+cookie@~0.4.1:
+  version "0.4.2"
+  resolved "https://registry.yarnpkg.com/cookie/-/cookie-0.4.2.tgz#0e41f24de5ecf317947c82fc789e06a884824432"
+  integrity sha512-aSWTXFzaKWkvHO1Ny/s+ePFpvKsPnjc551iI41v3ny/ow6tBG5Vd+FuqGNhh1LxOmVzOlGUriIlOaokOvhaStA==
+
 copy-to-clipboard@3.3.1:
   version "3.3.1"
   resolved "https://registry.yarnpkg.com/copy-to-clipboard/-/copy-to-clipboard-3.3.1.tgz#115aa1a9998ffab6196f93076ad6da3b913662ae"
@@ -1651,6 +1712,14 @@ copy-to-clipboard@3.3.1:
   dependencies:
     toggle-selection "^1.0.6"
 
+cors@~2.8.5:
+  version "2.8.5"
+  resolved "https://registry.yarnpkg.com/cors/-/cors-2.8.5.tgz#eac11da51592dd86b9f06f6e7ac293b3df875d29"
+  integrity sha512-KIHbLJqu73RGr/hnbrO9uBeixNGuvSQjul/jdFvS/KFSIH1hWVd1ng7zOHx+YrEfInLG7q4n6GHQ9cDtxv/P6g==
+  dependencies:
+    object-assign "^4"
+    vary "^1"
+
 cosmiconfig@^7.0.0:
   version "7.0.1"
   resolved "https://registry.yarnpkg.com/cosmiconfig/-/cosmiconfig-7.0.1.tgz#714d756522cace867867ccb4474c5d01bbae5d6d"
@@ -1745,6 +1814,22 @@ engine.io-parser@~5.0.3:
   resolved "https://registry.yarnpkg.com/engine.io-parser/-/engine.io-parser-5.0.4.tgz#0b13f704fa9271b3ec4f33112410d8f3f41d0fc0"
   integrity sha512-+nVFp+5z1E3HcToEnO7ZIj3g+3k9389DvWtvJZz0T6/eOCPIyyxehFcedoYrZQrp0LgQbD9pPXhpMBKMd5QURg==
 
+engine.io@~6.2.0:
+  version "6.2.0"
+  resolved "https://registry.yarnpkg.com/engine.io/-/engine.io-6.2.0.tgz#003bec48f6815926f2b1b17873e576acd54f41d0"
+  integrity sha512-4KzwW3F3bk+KlzSOY57fj/Jx6LyRQ1nbcyIadehl+AnXjKT7gDO0ORdRi/84ixvMKTym6ZKuxvbzN62HDDU1Lg==
+  dependencies:
+    "@types/cookie" "^0.4.1"
+    "@types/cors" "^2.8.12"
+    "@types/node" ">=10.0.0"
+    accepts "~1.3.4"
+    base64id "2.0.0"
+    cookie "~0.4.1"
+    cors "~2.8.5"
+    debug "~4.3.1"
+    engine.io-parser "~5.0.3"
+    ws "~8.2.3"
+
 error-ex@^1.3.1:
   version "1.3.2"
   resolved "https://registry.yarnpkg.com/error-ex/-/error-ex-1.3.2.tgz#b4ac40648107fdcdcfae242f428bea8a14d4f1bf"
@@ -2195,7 +2280,7 @@ get-nonce@^1.0.0:
   resolved "https://registry.yarnpkg.com/get-nonce/-/get-nonce-1.0.1.tgz#fdf3f0278073820d2ce9426c18f07481b1e0cdf3"
   integrity sha512-FJhYRoDaiatfEkUK8HKlicmu/3SGFD51q3itKDGoSTysQJBnfOcxU5GxnhE1E6soB76MbT0MBtnKJuXyAx+96Q==
 
-glob-parent@^5.1.2:
+glob-parent@^5.1.2, glob-parent@~5.1.2:
   version "5.1.2"
   resolved "https://registry.yarnpkg.com/glob-parent/-/glob-parent-5.1.2.tgz#869832c58034fe68a4093c17dc15e8340d8401c4"
   integrity sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==
@@ -2279,6 +2364,11 @@ hoist-non-react-statics@^3.3.0, hoist-non-react-statics@^3.3.1, hoist-non-react-
   dependencies:
     react-is "^16.7.0"
 
+hotkeys-js@3.9.4:
+  version "3.9.4"
+  resolved "https://registry.yarnpkg.com/hotkeys-js/-/hotkeys-js-3.9.4.tgz#ce1aa4c3a132b6a63a9dd5644fc92b8a9b9cbfb9"
+  integrity sha512-2zuLt85Ta+gIyvs4N88pCYskNrxf1TFv3LR9t5mdAZIX8BcgQQ48F2opUptvHa6m8zsy5v/a0i9mWzTrlNWU0Q==
+
 ignore@^5.2.0:
   version "5.2.0"
   resolved "https://registry.yarnpkg.com/ignore/-/ignore-5.2.0.tgz#6d3bac8fa7fe0d45d9f9be7bac2fc279577e345a"
@@ -2289,6 +2379,11 @@ immer@^9.0.7:
   resolved "https://registry.yarnpkg.com/immer/-/immer-9.0.15.tgz#0b9169e5b1d22137aba7d43f8a81a495dd1b62dc"
   integrity sha512-2eB/sswms9AEUSkOm4SbV5Y7Vmt/bKRwByd52jfLkW4OLYeaTP3EEiJ9agqU0O/tq6Dk62Zfj+TJSqfm1rLVGQ==
 
+immutable@^4.0.0:
+  version "4.1.0"
+  resolved "https://registry.yarnpkg.com/immutable/-/immutable-4.1.0.tgz#f795787f0db780183307b9eb2091fcac1f6fafef"
+  integrity sha512-oNkuqVTA8jqG1Q6c+UglTOD1xhC1BtjKI7XkCXRkZHrN5m18/XsnUp8Q89GkQO/z+0WjonSvl0FLhDYftp46nQ==
+
 import-fresh@^3.0.0, import-fresh@^3.2.1:
   version "3.3.0"
   resolved "https://registry.yarnpkg.com/import-fresh/-/import-fresh-3.3.0.tgz#37162c25fcb9ebaa2e6e53d5b4d88ce17d9e0c2b"
@@ -2327,6 +2422,13 @@ is-arrayish@^0.2.1:
   resolved "https://registry.yarnpkg.com/is-arrayish/-/is-arrayish-0.2.1.tgz#77c99840527aa8ecb1a8ba697b80645a7a926a9d"
   integrity sha512-zz06S8t0ozoDXMG+ube26zeCTNXcKIPJZJi8hBrF4idCLms4CG9QtK7qBl1boi5ODzFpjswb5JPmHCbMpjaYzg==
 
+is-binary-path@~2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/is-binary-path/-/is-binary-path-2.1.0.tgz#ea1f7f3b80f064236e83470f86c09c254fb45b09"
+  integrity sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==
+  dependencies:
+    binary-extensions "^2.0.0"
+
 is-core-module@^2.9.0:
   version "2.10.0"
   resolved "https://registry.yarnpkg.com/is-core-module/-/is-core-module-2.10.0.tgz#9012ede0a91c69587e647514e1d5277019e728ed"
@@ -2339,7 +2441,7 @@ is-extglob@^2.1.1:
   resolved "https://registry.yarnpkg.com/is-extglob/-/is-extglob-2.1.1.tgz#a88c02535791f02ed37c76a1b9ea9773c833f8c2"
   integrity sha512-SbKbANkN603Vi4jEZv49LeVJMn4yGwsbzZworEoyEiutsN3nJYdbO36zfhGJ6QEDpOZIFkDtnq5JRxmvl3jsoQ==
 
-is-glob@^4.0.0, is-glob@^4.0.1, is-glob@^4.0.3:
+is-glob@^4.0.0, is-glob@^4.0.1, is-glob@^4.0.3, is-glob@~4.0.1:
   version "4.0.3"
   resolved "https://registry.yarnpkg.com/is-glob/-/is-glob-4.0.3.tgz#64f61e42cbbb2eec2071a9dac0b28ba1e65d5084"
   integrity sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg==
@@ -2472,6 +2574,18 @@ micromatch@^4.0.4:
     braces "^3.0.2"
     picomatch "^2.3.1"
 
+mime-db@1.52.0:
+  version "1.52.0"
+  resolved "https://registry.yarnpkg.com/mime-db/-/mime-db-1.52.0.tgz#bbabcdc02859f4987301c856e3387ce5ec43bf70"
+  integrity sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg==
+
+mime-types@~2.1.34:
+  version "2.1.35"
+  resolved "https://registry.yarnpkg.com/mime-types/-/mime-types-2.1.35.tgz#381a871b62a734450660ae3deee44813f70d959a"
+  integrity sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw==
+  dependencies:
+    mime-db "1.52.0"
+
 minimatch@^3.0.4, minimatch@^3.1.1, minimatch@^3.1.2:
   version "3.1.2"
   resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.1.2.tgz#19cd194bfd3e428f049a70817c038d89ab4be35b"
@@ -2494,6 +2608,11 @@ natural-compare@^1.4.0:
   resolved "https://registry.yarnpkg.com/natural-compare/-/natural-compare-1.4.0.tgz#4abebfeed7541f2c27acfb29bdbbd15c8d5ba4f7"
   integrity sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw==
 
+negotiator@0.6.3:
+  version "0.6.3"
+  resolved "https://registry.yarnpkg.com/negotiator/-/negotiator-0.6.3.tgz#58e323a72fedc0d6f9cd4d31fe49f51479590ccd"
+  integrity sha512-+EUsqGPLsM+j/zdChZjsnX51g4XrHFOIXwfnCVPGlQk/k5giakcKsuxCObBRu6DSm9opw/O6slWbJdghQM4bBg==
+
 node-cleanup@^2.1.2:
   version "2.1.2"
   resolved "https://registry.yarnpkg.com/node-cleanup/-/node-cleanup-2.1.2.tgz#7ac19abd297e09a7f72a71545d951b517e4dde2c"
@@ -2504,7 +2623,12 @@ node-releases@^2.0.6:
   resolved "https://registry.yarnpkg.com/node-releases/-/node-releases-2.0.6.tgz#8a7088c63a55e493845683ebf3c828d8c51c5503"
   integrity sha512-PiVXnNuFm5+iYkLBNeq5211hvO38y63T0i2KKh2KnUs3RpzJ+JtODFjkD8yjLwnDkTYF1eKXheUwdssR+NRZdg==
 
-object-assign@^4.1.1:
+normalize-path@^3.0.0, normalize-path@~3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/normalize-path/-/normalize-path-3.0.0.tgz#0dcd69ff23a1c9b11fd0978316644a0388216a65"
+  integrity sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA==
+
+object-assign@^4, object-assign@^4.1.1:
   version "4.1.1"
   resolved "https://registry.yarnpkg.com/object-assign/-/object-assign-4.1.1.tgz#2109adc7965887cfc05cbbd442cac8bfbb360863"
   integrity sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg==
@@ -2596,7 +2720,7 @@ picocolors@^1.0.0:
   resolved "https://registry.yarnpkg.com/picocolors/-/picocolors-1.0.0.tgz#cb5bdc74ff3f51892236eaf79d68bc44564ab81c"
   integrity sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ==
 
-picomatch@^2.2.2, picomatch@^2.3.1:
+picomatch@^2.0.4, picomatch@^2.2.1, picomatch@^2.2.2, picomatch@^2.3.1:
   version "2.3.1"
   resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.3.1.tgz#3ba3833733646d9d3e4995946c1365a67fb07a42"
   integrity sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==
@@ -2658,6 +2782,11 @@ queue-microtask@^1.2.2:
   resolved "https://registry.yarnpkg.com/queue-microtask/-/queue-microtask-1.2.3.tgz#4929228bbc724dfac43e0efb058caf7b6cfb6243"
   integrity sha512-NuaNSa6flKT5JaSYQzJok04JzTL1CA6aGhv5rfLW3PgqA+M2ChpZQnAC8h8i4ZFkBS8X5RqkDBHA7r4hej3K9A==
 
+re-resizable@^6.9.9:
+  version "6.9.9"
+  resolved "https://registry.yarnpkg.com/re-resizable/-/re-resizable-6.9.9.tgz#99e8b31c67a62115dc9c5394b7e55892265be216"
+  integrity sha512-l+MBlKZffv/SicxDySKEEh42hR6m5bAHfNu3Tvxks2c4Ah+ldnWjfnVRwxo/nxF27SsUsxDS0raAzFuJNKABXA==
+
 react-clientside-effect@^1.2.6:
   version "1.2.6"
   resolved "https://registry.yarnpkg.com/react-clientside-effect/-/react-clientside-effect-1.2.6.tgz#29f9b14e944a376b03fb650eed2a754dd128ea3a"
@@ -2699,6 +2828,13 @@ react-focus-lock@^2.9.1:
     use-callback-ref "^1.3.0"
     use-sidecar "^1.1.2"
 
+react-hotkeys-hook@^3.4.7:
+  version "3.4.7"
+  resolved "https://registry.yarnpkg.com/react-hotkeys-hook/-/react-hotkeys-hook-3.4.7.tgz#e16a0a85f59feed9f48d12cfaf166d7df4c96b7a"
+  integrity sha512-+bbPmhPAl6ns9VkXkNNyxlmCAIyDAcWbB76O4I0ntr3uWCRuIQf/aRLartUahe9chVMPj+OEzzfk3CQSjclUEQ==
+  dependencies:
+    hotkeys-js "3.9.4"
+
 react-icons@^4.4.0:
   version "4.4.0"
   resolved "https://registry.yarnpkg.com/react-icons/-/react-icons-4.4.0.tgz#a13a8a20c254854e1ec9aecef28a95cdf24ef703"
@@ -2766,6 +2902,13 @@ react@^18.2.0:
   dependencies:
     loose-envify "^1.1.0"
 
+readdirp@~3.6.0:
+  version "3.6.0"
+  resolved "https://registry.yarnpkg.com/readdirp/-/readdirp-3.6.0.tgz#74a370bd857116e245b29cc97340cd431a02a6c7"
+  integrity sha512-hOS089on8RduqdbhvQ5Z37A0ESjsqz6qnRcffsMU3495FuTdqSm+7bhJ29JvIOsBDEEnan5DPu9t3To9VRlMzA==
+  dependencies:
+    picomatch "^2.2.1"
+
 redux-persist@^6.0.0:
   version "6.0.0"
   resolved "https://registry.yarnpkg.com/redux-persist/-/redux-persist-6.0.0.tgz#b4d2972f9859597c130d40d4b146fecdab51b3a8"
@@ -2850,6 +2993,15 @@ safe-buffer@~5.1.1:
   resolved "https://registry.yarnpkg.com/safe-buffer/-/safe-buffer-5.1.2.tgz#991ec69d296e0313747d59bdfd2b745c35f8828d"
   integrity sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==
 
+sass@^1.55.0:
+  version "1.55.0"
+  resolved "https://registry.yarnpkg.com/sass/-/sass-1.55.0.tgz#0c4d3c293cfe8f8a2e8d3b666e1cf1bff8065d1c"
+  integrity sha512-Pk+PMy7OGLs9WaxZGJMn7S96dvlyVBwwtToX895WmCpAOr5YiJYEUJfiJidMuKb613z2xNWcXCHEuOvjZbqC6A==
+  dependencies:
+    chokidar ">=3.0.0 <4.0.0"
+    immutable "^4.0.0"
+    source-map-js ">=0.6.2 <2.0.0"
+
 scheduler@^0.23.0:
   version "0.23.0"
   resolved "https://registry.yarnpkg.com/scheduler/-/scheduler-0.23.0.tgz#ba8041afc3d30eb206a487b6b384002e4e61fdfe"
@@ -2886,6 +3038,11 @@ slash@^3.0.0:
   resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
   integrity sha512-g9Q1haeby36OSStwb4ntCGGGaKsaVSjQ68fBxoQcutl5fS1vuY18H3wSt3jFyFtrkx+Kz0V1G85A4MyAdDMi2Q==
 
+socket.io-adapter@~2.4.0:
+  version "2.4.0"
+  resolved "https://registry.yarnpkg.com/socket.io-adapter/-/socket.io-adapter-2.4.0.tgz#b50a4a9ecdd00c34d4c8c808224daa1a786152a6"
+  integrity sha512-W4N+o69rkMEGVuk2D/cvca3uYsvGlMwsySWV447y99gUPghxq42BxqLNMndb+a1mm/5/7NeXVQS7RLa2XyXvYg==
+
 socket.io-client@^4.5.2:
   version "4.5.2"
   resolved "https://registry.yarnpkg.com/socket.io-client/-/socket.io-client-4.5.2.tgz#9481518c560388c980c88b01e3cf62f367f04c96"
@@ -2904,7 +3061,19 @@ socket.io-parser@~4.2.0:
     "@socket.io/component-emitter" "~3.1.0"
     debug "~4.3.1"
 
-source-map-js@^1.0.2:
+socket.io@^4.5.2:
+  version "4.5.2"
+  resolved "https://registry.yarnpkg.com/socket.io/-/socket.io-4.5.2.tgz#1eb25fd380ab3d63470aa8279f8e48d922d443ac"
+  integrity sha512-6fCnk4ARMPZN448+SQcnn1u8OHUC72puJcNtSgg2xS34Cu7br1gQ09YKkO1PFfDn/wyUE9ZgMAwosJed003+NQ==
+  dependencies:
+    accepts "~1.3.4"
+    base64id "~2.0.0"
+    debug "~4.3.2"
+    engine.io "~6.2.0"
+    socket.io-adapter "~2.4.0"
+    socket.io-parser "~4.2.0"
+
+"source-map-js@>=0.6.2 <2.0.0", source-map-js@^1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-1.0.2.tgz#adbc361d9c62df380125e7f161f71c826f1e490c"
   integrity sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==
@@ -3099,6 +3268,11 @@ uuid@^9.0.0:
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-9.0.0.tgz#592f550650024a38ceb0c562f2f6aa435761efb5"
   integrity sha512-MXcSTerfPa4uqyzStbRoTgt5XIe3x5+42+q1sDuy3R5MDk66URdLMOZe5aPX/SQd+kuYAh0FdP/pO28IkQyTeg==
 
+vary@^1:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/vary/-/vary-1.1.2.tgz#2299f02c6ded30d4a5961b0b9f74524a18f634fc"
+  integrity sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==
+
 vite-plugin-eslint@^1.8.1:
   version "1.8.1"
   resolved "https://registry.yarnpkg.com/vite-plugin-eslint/-/vite-plugin-eslint-1.8.1.tgz#0381b8272e7f0fd8b663311b64f7608d55d8b04c"
diff --git a/ldm/data/personalized.py b/ldm/data/personalized.py
index 15fc8a8d2d..8d9573fbc6 100644
--- a/ldm/data/personalized.py
+++ b/ldm/data/personalized.py
@@ -117,7 +117,7 @@ class PersonalizedBase(Dataset):
 
         self.image_paths = [
             os.path.join(self.data_root, file_path)
-            for file_path in os.listdir(self.data_root)
+            for file_path in os.listdir(self.data_root) if file_path != ".DS_Store"
         ]
 
         # self._length = len(self.image_paths)
diff --git a/ldm/data/personalized_style.py b/ldm/data/personalized_style.py
index 56d77d7e81..118d5be991 100644
--- a/ldm/data/personalized_style.py
+++ b/ldm/data/personalized_style.py
@@ -93,7 +93,7 @@ class PersonalizedBase(Dataset):
 
         self.image_paths = [
             os.path.join(self.data_root, file_path)
-            for file_path in os.listdir(self.data_root)
+            for file_path in os.listdir(self.data_root) if file_path != ".DS_Store"
         ]
 
         # self._length = len(self.image_paths)
diff --git a/ldm/dream/args.py b/ldm/dream/args.py
index aabd900213..7a41094ded 100644
--- a/ldm/dream/args.py
+++ b/ldm/dream/args.py
@@ -185,15 +185,21 @@ class Args(object):
         switches.append(f'-W {a["width"]}')
         switches.append(f'-H {a["height"]}')
         switches.append(f'-C {a["cfg_scale"]}')
+        if a['perlin'] > 0:
+            switches.append(f'--perlin {a["perlin"]}')
+        if a['threshold'] > 0:
+            switches.append(f'--threshold {a["threshold"]}')
         if a['grid']:
             switches.append('--grid')
         if a['seamless']:
             switches.append('--seamless')
+        if a['hires_fix']:
+            switches.append('--hires_fix')
 
         # img2img generations have parameters relevant only to them and have special handling
         if a['init_img'] and len(a['init_img'])>0:
             switches.append(f'-I {a["init_img"]}')
-            switches.append(f'-A ddim') # TODO: FIX ME WHEN IMG2IMG SUPPORTS ALL SAMPLERS
+            switches.append(f'-A {a["sampler_name"]}')
             if a['fit']:
                 switches.append(f'--fit')
             if a['init_mask'] and len(a['init_mask'])>0:
@@ -209,6 +215,9 @@ class Args(object):
         if a['gfpgan_strength']:
             switches.append(f'-G {a["gfpgan_strength"]}')
 
+        if a['outcrop']:
+            switches.append(f'-c {" ".join([str(u) for u in a["outcrop"]])}')
+
         # esrgan-specific parameters
         if a['upscale']:
             switches.append(f'-U {" ".join([str(u) for u in a["upscale"]])}')
@@ -227,8 +236,8 @@ class Args(object):
         # 2. However, they come out of the CLI (and probably web) with the keyword "with_variations" and
         #    in broken-out form. Variation (1) should be changed to comply with (2)
         if a['with_variations']:
-            formatted_variations = ','.join(f'{seed}:{weight}' for seed, weight in (a["variations"]))
-            switches.append(f'-V {a["formatted_variations"]}')
+            formatted_variations = ','.join(f'{seed}:{weight}' for seed, weight in (a["with_variations"]))
+            switches.append(f'-V {formatted_variations}')
         if 'variations' in a:
             switches.append(f'-V {a["variations"]}')
         return ' '.join(switches)
@@ -274,7 +283,10 @@ class Args(object):
         # the arg value. For example, the --grid and --individual options are a little
         # funny because of their push/pull relationship. This is how to handle it.
         if name=='grid':
-            return not cmd_switches.individual and value_arg  # arg supersedes cmd
+            if cmd_switches.individual:
+                return False
+            else:
+                return value_cmd or value_arg
         return value_cmd if value_cmd is not None else value_arg
 
     def __setattr__(self,name,value):
@@ -458,6 +470,12 @@ class Args(object):
             default='9090',
             help='Web server: Port to listen on'
         )
+        web_server_group.add_argument(
+            '--gui',
+            dest='gui',
+            action='store_true',
+            help='Start InvokeAI GUI',
+        )
         return parser
 
     # This creates the parser that processes commands on the dream> command line
@@ -529,6 +547,18 @@ class Args(object):
             type=float,
             help='Classifier free guidance (CFG) scale - higher numbers cause generator to "try" harder.',
         )
+        render_group.add_argument(
+            '--threshold',
+            default=0.0,
+            type=float,
+            help='Latent threshold for classifier free guidance (CFG) - prevent generator from "trying" too hard. Use positive values, 0 disables.',
+        )
+        render_group.add_argument(
+            '--perlin',
+            default=0.0,
+            type=float,
+            help='Perlin noise scale (0.0 - 1.0) - add perlin noise to the initialization instead of the usual gaussian noise.',
+        )
         render_group.add_argument(
             '--grid',
             '-g',
@@ -569,6 +599,12 @@ class Args(object):
             type=str,
             help='Directory to save generated images and a log of prompts and seeds',
         )
+        render_group.add_argument(
+            '--hires_fix',
+            action='store_true',
+            dest='hires_fix',
+            help='Create hires image using img2img to prevent duplicated objects'
+        )
         img2img_group.add_argument(
             '-I',
             '--init_img',
@@ -608,6 +644,14 @@ class Args(object):
             metavar=('direction', 'pixels'),
             help='Direction to extend the given image (left|right|top|bottom). If a distance pixel value is not specified it defaults to half the image size'
         )
+        img2img_group.add_argument(
+            '-c',
+            '--outcrop',
+            nargs='+',
+            type=str,
+            metavar=('direction','pixels'),
+            help='Outcrop the image with one or more direction/pixel pairs: -c top 64 bottom 128 left 64 right 64',
+        )
         postprocessing_group.add_argument(
             '-ft',
             '--facetool',
@@ -705,27 +749,15 @@ def metadata_dumps(opt,
         'app_version' : APP_VERSION,
     }
 
-    # add some RFC266 fields that are generated internally, and not as
-    # user args
+    # # add some RFC266 fields that are generated internally, and not as
+    # # user args
     image_dict = opt.to_dict(
-        postprocessing=postprocessing
+         postprocessing=postprocessing
     )
 
-    # 'postprocessing' is either null or an array of postprocessing metadatal
-    if postprocessing:
-        # TODO: This is just a hack until postprocessing pipeline work completed
-        image_dict['postprocessing'] = []
-
-        if image_dict['gfpgan_strength'] and image_dict['gfpgan_strength'] > 0:
-            image_dict['postprocessing'].append('GFPGAN (not RFC compliant)')
-        if image_dict['upscale'] and image_dict['upscale'][0] > 0:
-            image_dict['postprocessing'].append('ESRGAN (not RFC compliant)')
-    else:
-        image_dict['postprocessing'] = None
-
     # remove any image keys not mentioned in RFC #266
     rfc266_img_fields = ['type','postprocessing','sampler','prompt','seed','variations','steps',
-                         'cfg_scale','step_number','width','height','extra','strength']
+                         'cfg_scale','threshold','perlin','step_number','width','height','extra','strength']
 
     rfc_dict ={}
 
diff --git a/ldm/dream/generator/base.py b/ldm/dream/generator/base.py
index 5e9441dc52..ae1e6af555 100644
--- a/ldm/dream/generator/base.py
+++ b/ldm/dream/generator/base.py
@@ -10,6 +10,7 @@ from PIL               import Image
 from einops import rearrange, repeat
 from pytorch_lightning import seed_everything
 from ldm.dream.devices import choose_autocast
+from ldm.util import rand_perlin_2d
 
 downsampling = 8
 
@@ -37,7 +38,7 @@ class Generator():
         self.with_variations  = with_variations
 
     def generate(self,prompt,init_image,width,height,iterations=1,seed=None,
-                 image_callback=None, step_callback=None,
+                 image_callback=None, step_callback=None, threshold=0.0, perlin=0.0,
                  **kwargs):
         scope = choose_autocast(self.precision)
         make_image          = self.get_make_image(
@@ -46,11 +47,13 @@ class Generator():
             width         = width,
             height        = height,
             step_callback = step_callback,
+            threshold     = threshold,
+            perlin        = perlin,
             **kwargs
         )
 
         results             = []
-        seed                = seed if seed else self.new_seed()
+        seed                = seed if seed is not None else self.new_seed()
         first_seed          = seed
         seed, initial_noise = self.generate_initial_noise(seed, width, height)
         with scope(self.model.device.type), self.model.ema_scope():
@@ -65,10 +68,11 @@ class Generator():
                     x_T = initial_noise
                 else:
                     seed_everything(seed)
-                    if self.model.device.type == 'mps':
+                    try:
                         x_T = self.get_noise(width,height)
+                    except:
+                        pass
 
-                # make_image will do the equivalent of get_noise itself
                 image = make_image(x_T)
                 results.append([image, seed])
                 if image_callback is not None:
@@ -117,6 +121,10 @@ class Generator():
         """
         raise NotImplementedError("get_noise() must be implemented in a descendent class")
     
+    def get_perlin_noise(self,width,height):
+        fixdevice = 'cpu' if (self.model.device.type == 'mps') else self.model.device
+        return torch.stack([rand_perlin_2d((height, width), (8, 8), device = self.model.device).to(fixdevice) for _ in range(self.latent_channels)], dim=0).to(self.model.device)
+    
     def new_seed(self):
         self.seed = random.randrange(0, np.iinfo(np.uint32).max)
         return self.seed
diff --git a/ldm/dream/generator/embiggen.py b/ldm/dream/generator/embiggen.py
index c85bae868c..079b7dd9aa 100644
--- a/ldm/dream/generator/embiggen.py
+++ b/ldm/dream/generator/embiggen.py
@@ -10,6 +10,7 @@ from PIL               import Image
 from ldm.dream.generator.base      import Generator
 from ldm.dream.generator.img2img   import Img2Img
 from ldm.dream.devices import choose_autocast
+from ldm.models.diffusion.ddim     import DDIMSampler
 
 class Embiggen(Generator):
     def __init__(self, model, precision):
@@ -349,7 +350,7 @@ class Embiggen(Generator):
                     prompt,
                     iterations     = 1,
                     seed           = seed,
-                    sampler        = sampler,
+                    sampler        = DDIMSampler(self.model, device=self.model.device),
                     steps          = steps,
                     cfg_scale      = cfg_scale,
                     conditioning   = conditioning,
diff --git a/ldm/dream/generator/img2img.py b/ldm/dream/generator/img2img.py
index f354b59138..27425a2b6b 100644
--- a/ldm/dream/generator/img2img.py
+++ b/ldm/dream/generator/img2img.py
@@ -13,20 +13,13 @@ class Img2Img(Generator):
         super().__init__(model, precision)
         self.init_latent         = None    # by get_noise()
 
-    @torch.no_grad()
     def get_make_image(self,prompt,sampler,steps,cfg_scale,ddim_eta,
-                       conditioning,init_image,strength,step_callback=None,**kwargs):
+                       conditioning,init_image,strength,step_callback=None,threshold=0.0,perlin=0.0,**kwargs):
         """
         Returns a function returning an image derived from the prompt and the initial image
         Return value depends on the seed at the time you call it.
         """
-
-        # PLMS sampler not supported yet, so ignore previous sampler
-        if not isinstance(sampler,DDIMSampler):
-            print(
-                f">> sampler '{sampler.__class__.__name__}' is not yet supported. Using DDIM sampler"
-            )
-            sampler = DDIMSampler(self.model, device=self.model.device)
+        self.perlin = perlin
 
         sampler.make_schedule(
             ddim_num_steps=steps, ddim_eta=ddim_eta, verbose=False
@@ -41,7 +34,6 @@ class Img2Img(Generator):
         t_enc = int(strength * steps)
         uc, c   = conditioning
 
-        @torch.no_grad()
         def make_image(x_T):
             # encode (scaled latent)
             z_enc = sampler.stochastic_encode(
@@ -57,7 +49,9 @@ class Img2Img(Generator):
                 img_callback = step_callback,
                 unconditional_guidance_scale=cfg_scale,
                 unconditional_conditioning=uc,
+                init_latent = self.init_latent,  # changes how noising is performed in ksampler
             )
+
             return self.sample_to_image(samples)
 
         return make_image
@@ -67,6 +61,10 @@ class Img2Img(Generator):
         init_latent = self.init_latent
         assert init_latent is not None,'call to get_noise() when init_latent not set'
         if device.type == 'mps':
-            return torch.randn_like(init_latent, device='cpu').to(device)
+            x = torch.randn_like(init_latent, device='cpu').to(device)
         else:
-            return torch.randn_like(init_latent, device=device)
+            x = torch.randn_like(init_latent, device=device)
+        if self.perlin > 0.0:
+            shape = init_latent.shape
+            x = (1-self.perlin)*x + self.perlin*self.get_perlin_noise(shape[3], shape[2])
+        return x
diff --git a/ldm/dream/generator/inpaint.py b/ldm/dream/generator/inpaint.py
index da5411ad64..620210b118 100644
--- a/ldm/dream/generator/inpaint.py
+++ b/ldm/dream/generator/inpaint.py
@@ -8,6 +8,7 @@ from einops import rearrange, repeat
 from ldm.dream.devices             import choose_autocast
 from ldm.dream.generator.img2img   import Img2Img
 from ldm.models.diffusion.ddim     import DDIMSampler
+from ldm.models.diffusion.ksampler import KSampler
 
 class Inpaint(Img2Img):
     def __init__(self, model, precision):
@@ -23,21 +24,20 @@ class Inpaint(Img2Img):
         the initial image + mask.  Return value depends on the seed at
         the time you call it.  kwargs are 'init_latent' and 'strength'
         """
-
-        mask_image = mask_image[0][0].unsqueeze(0).repeat(4,1,1).unsqueeze(0)
-        mask_image = repeat(mask_image, '1 ... -> b ...', b=1)
-
-        # PLMS sampler not supported yet, so ignore previous sampler
-        if not isinstance(sampler,DDIMSampler):
+        # klms samplers not supported yet, so ignore previous sampler
+        if isinstance(sampler,KSampler):
             print(
-                f">> sampler '{sampler.__class__.__name__}' is not yet supported. Using DDIM sampler"
+                f">> sampler '{sampler.__class__.__name__}' is not yet supported for inpainting, using DDIMSampler instead."
             )
             sampler = DDIMSampler(self.model, device=self.model.device)
-
+        
         sampler.make_schedule(
             ddim_num_steps=steps, ddim_eta=ddim_eta, verbose=False
         )
 
+        mask_image = mask_image[0][0].unsqueeze(0).repeat(4,1,1).unsqueeze(0)
+        mask_image = repeat(mask_image, '1 ... -> b ...', b=1)
+
         scope = choose_autocast(self.precision)
         with scope(self.model.device.type):
             self.init_latent = self.model.get_first_stage_encoding(
@@ -57,7 +57,7 @@ class Inpaint(Img2Img):
                 torch.tensor([t_enc]).to(self.model.device),
                 noise=x_T
             )
-                                       
+
             # decode it
             samples = sampler.decode(
                 z_enc,
@@ -69,6 +69,7 @@ class Inpaint(Img2Img):
                 mask                       = mask_image,
                 init_latent                = self.init_latent
             )
+
             return self.sample_to_image(samples)
 
         return make_image
diff --git a/ldm/dream/generator/txt2img.py b/ldm/dream/generator/txt2img.py
index 1ab15ba7cd..b702edc92d 100644
--- a/ldm/dream/generator/txt2img.py
+++ b/ldm/dream/generator/txt2img.py
@@ -12,12 +12,13 @@ class Txt2Img(Generator):
 
     @torch.no_grad()
     def get_make_image(self,prompt,sampler,steps,cfg_scale,ddim_eta,
-                       conditioning,width,height,step_callback=None,**kwargs):
+                       conditioning,width,height,step_callback=None,threshold=0.0,perlin=0.0,**kwargs):
         """
         Returns a function returning an image derived from the prompt and the initial image
         Return value depends on the seed at the time you call it
         kwargs are 'width' and 'height'
         """
+        self.perlin = perlin
         uc, c   = conditioning
 
         @torch.no_grad()
@@ -30,6 +31,8 @@ class Txt2Img(Generator):
 
             if self.free_gpu_mem and self.model.model.device != self.model.device:
                 self.model.model.to(self.model.device)
+                                
+            sampler.make_schedule(ddim_num_steps=steps, ddim_eta=ddim_eta, verbose=False)
 
             samples, _ = sampler.sample(
                 batch_size                   = 1,
@@ -41,7 +44,8 @@ class Txt2Img(Generator):
                 unconditional_guidance_scale = cfg_scale,
                 unconditional_conditioning   = uc,
                 eta                          = ddim_eta,
-                img_callback                 = step_callback
+                img_callback                 = step_callback,
+                threshold                    = threshold,
             )
 
             if self.free_gpu_mem:
@@ -56,14 +60,17 @@ class Txt2Img(Generator):
     def get_noise(self,width,height):
         device         = self.model.device
         if device.type == 'mps':
-            return torch.randn([1,
+            x = torch.randn([1,
                                 self.latent_channels,
                                 height // self.downsampling_factor,
                                 width  // self.downsampling_factor],
                                device='cpu').to(device)
         else:
-            return torch.randn([1,
+            x = torch.randn([1,
                                 self.latent_channels,
                                 height // self.downsampling_factor,
                                 width  // self.downsampling_factor],
                                device=device)
+        if self.perlin > 0.0:
+            x = (1-self.perlin)*x + self.perlin*self.get_perlin_noise(width  // self.downsampling_factor, height // self.downsampling_factor)
+        return x
diff --git a/ldm/dream/generator/txt2img2img.py b/ldm/dream/generator/txt2img2img.py
new file mode 100644
index 0000000000..d6c0cdf168
--- /dev/null
+++ b/ldm/dream/generator/txt2img2img.py
@@ -0,0 +1,130 @@
+'''
+ldm.dream.generator.txt2img inherits from ldm.dream.generator
+'''
+
+import torch
+import numpy as  np
+import math
+from ldm.dream.generator.base  import Generator
+from ldm.models.diffusion.ddim import DDIMSampler
+
+
+class Txt2Img2Img(Generator):
+    def __init__(self, model, precision):
+        super().__init__(model, precision)
+        self.init_latent = None    # for get_noise()
+
+    @torch.no_grad()
+    def get_make_image(self,prompt,sampler,steps,cfg_scale,ddim_eta,
+                       conditioning,width,height,strength,step_callback=None,**kwargs):
+        """
+        Returns a function returning an image derived from the prompt and the initial image
+        Return value depends on the seed at the time you call it
+        kwargs are 'width' and 'height'
+        """
+        uc, c   = conditioning
+
+        @torch.no_grad()
+        def make_image(x_T):           
+            
+            trained_square = 512 * 512
+            actual_square = width * height
+            scale = math.sqrt(trained_square / actual_square)
+
+            init_width = math.ceil(scale * width / 64) * 64
+            init_height = math.ceil(scale * height / 64) * 64
+            
+            shape = [
+                self.latent_channels,
+                init_height // self.downsampling_factor,
+                init_width // self.downsampling_factor,
+            ]
+            
+            sampler.make_schedule(
+                    ddim_num_steps=steps, ddim_eta=ddim_eta, verbose=False
+            )
+            
+            #x = self.get_noise(init_width, init_height)
+            x = x_T
+            
+            if self.free_gpu_mem and self.model.model.device != self.model.device:
+                self.model.model.to(self.model.device)
+
+            samples, _ = sampler.sample(
+                batch_size                   = 1,
+                S                            = steps,
+                x_T                          = x,
+                conditioning                 = c,
+                shape                        = shape,
+                verbose                      = False,
+                unconditional_guidance_scale = cfg_scale,
+                unconditional_conditioning   = uc,
+                eta                          = ddim_eta,
+                img_callback                 = step_callback
+            )
+            
+            print(
+                  f"\n>> Interpolating from {init_width}x{init_height} to {width}x{height}"
+                 )
+            
+            # resizing
+            samples = torch.nn.functional.interpolate(
+                samples, 
+                size=(height // self.downsampling_factor, width // self.downsampling_factor), 
+                mode="bilinear"
+            )
+
+            t_enc = int(strength * steps)
+
+            x = self.get_noise(width,height,False)
+
+            z_enc = sampler.stochastic_encode(
+                samples,
+                torch.tensor([t_enc]).to(self.model.device),
+                noise=x
+            )
+
+            # decode it
+            samples = sampler.decode(
+                z_enc,
+                c,
+                t_enc,
+                img_callback = step_callback,
+                unconditional_guidance_scale=cfg_scale,
+                unconditional_conditioning=uc,
+            )
+
+            if self.free_gpu_mem:
+                self.model.model.to("cpu")
+
+            return self.sample_to_image(samples)
+
+        return make_image
+
+
+    # returns a tensor filled with random numbers from a normal distribution
+    def get_noise(self,width,height,scale = True):
+        # print(f"Get noise: {width}x{height}")
+        if scale:
+            trained_square = 512 * 512
+            actual_square = width * height
+            scale = math.sqrt(trained_square / actual_square)
+            scaled_width = math.ceil(scale * width / 64) * 64
+            scaled_height = math.ceil(scale * height / 64) * 64
+        else:
+            scaled_width = width
+            scaled_height = height
+            
+        device      = self.model.device
+        if device.type == 'mps':
+            return torch.randn([1,
+                                self.latent_channels,
+                                scaled_height // self.downsampling_factor,
+                                scaled_width  // self.downsampling_factor],
+                                device='cpu').to(device)
+        else:
+            return torch.randn([1,
+                                self.latent_channels,
+                                scaled_height // self.downsampling_factor,
+                                scaled_width  // self.downsampling_factor],
+                                device=device)
diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py
index 5cda259357..882aaa844d 100644
--- a/ldm/dream/pngwriter.py
+++ b/ldm/dream/pngwriter.py
@@ -37,7 +37,7 @@ class PngWriter:
         path = os.path.join(self.outdir, name)
         info = PngImagePlugin.PngInfo()
         info.add_text('Dream', dream_prompt)
-        if metadata: # TODO: merge command line app's method of writing metadata and always just write metadata
+        if metadata:
           info.add_text('sd-metadata', json.dumps(metadata))
         image.save(path, 'PNG', pnginfo=info)
         return path
@@ -61,3 +61,8 @@ def retrieve_metadata(img_path):
     dream_prompt = im.text.get('Dream', '')
     return {'sd-metadata': json.loads(md), 'Dream': dream_prompt}
 
+def write_metadata(img_path:str, meta:dict):
+    im = Image.open(img_path)
+    info = PngImagePlugin.PngInfo()
+    info.add_text('sd-metadata', json.dumps(meta))
+    im.save(img_path,'PNG',pnginfo=info)
diff --git a/ldm/dream/readline.py b/ldm/dream/readline.py
index e99bf5b5a7..99ea482a1d 100644
--- a/ldm/dream/readline.py
+++ b/ldm/dream/readline.py
@@ -17,7 +17,7 @@ from ldm.dream.args import Args
 try:
     import readline
     readline_available = True
-except:
+except (ImportError,ModuleNotFoundError):
     readline_available = False
 
 IMG_EXTENSIONS     = ('.png','.jpg','.jpeg')
@@ -27,6 +27,8 @@ COMMANDS = (
     '--iterations','-n',
     '--width','-W','--height','-H',
     '--cfg_scale','-C',
+    '--threshold',
+    '--perlin',
     '--grid','-g',
     '--individual','-i',
     '--init_img','-I',
@@ -44,7 +46,8 @@ COMMANDS = (
     '-save_orig','--save_original',
     '--skip_normalize','-x',
     '--log_tokenization','-t',
-    '!fix','!fetch','!history','!replay'
+    '--hires_fix',
+    '!fix','!fetch',!replay','!history','!search','!clear',
     )
 IMG_PATH_COMMANDS = (
     '--outdir[=\s]',
@@ -59,7 +62,7 @@ IMG_FILE_COMMANDS=(
     )
 path_regexp = '('+'|'.join(IMG_PATH_COMMANDS+IMG_FILE_COMMANDS) + ')\s*\S*$'
 
-class Completer:
+class Completer(object):
     def __init__(self, options):
         self.options     = sorted(options)
         self.seeds       = set()
@@ -108,6 +111,19 @@ class Completer:
         if not self.auto_history_active:
             readline.add_history(line)
 
+    def clear_history(self):
+        '''
+        Pass clear_history() thru to readline
+        '''
+        readline.clear_history()
+
+    def search_history(self,match:str):
+        '''
+        Like show_history() but only shows items that
+        contain the match string.
+        '''
+        self.show_history(match)
+
     def remove_history_item(self,pos):
         readline.remove_history_item(pos)
 
@@ -134,7 +150,7 @@ class Completer:
     def get_history_item(self,index):
         return readline.get_history_item(index)
 
-    def show_history(self):
+    def show_history(self,match=None):
         '''
         Print the session history using the pydoc pager
         '''
@@ -146,7 +162,10 @@ class Completer:
             return
         
         for i in range(0,h_len):
-            lines.append(f'[{i+1}] {self.get_history_item(i+1)}')
+            line = self.get_history_item(i+1)
+            if match and match not in line:
+                continue
+            lines.append(f'[{i+1}] {line}')
         pydoc.pager('\n'.join(lines))
 
     def set_line(self,line)->None:
@@ -232,6 +251,9 @@ class DummyCompleter(Completer):
     def add_history(self,line):
         self.history.append(line)
 
+    def clear_history(self):
+        self.history = list()
+
     def get_current_history_length(self):
         return len(self.history)
 
diff --git a/ldm/dream/restoration/outcrop.py b/ldm/dream/restoration/outcrop.py
new file mode 100644
index 0000000000..017d9de7e1
--- /dev/null
+++ b/ldm/dream/restoration/outcrop.py
@@ -0,0 +1,111 @@
+import warnings
+import math
+from PIL import Image, ImageFilter
+
+class Outcrop(object):
+    def __init__(
+            self,
+            image,
+            generate,  # current generate object
+    ):
+        self.image     = image
+        self.generate  = generate
+
+    def process (
+            self,
+            extents:dict,
+            opt,                   # current options
+            orig_opt,              # ones originally used to generate the image
+            image_callback = None,
+            prefix = None
+    ):
+        # grow and mask the image
+        extended_image = self._extend_all(extents)
+
+        # switch samplers temporarily
+        curr_sampler = self.generate.sampler
+        self.generate.sampler_name = opt.sampler_name
+        self.generate._set_sampler()
+
+        def wrapped_callback(img,seed,**kwargs):
+            image_callback(img,orig_opt.seed,use_prefix=prefix,**kwargs)
+
+        result= self.generate.prompt2image(
+            orig_opt.prompt,
+#            seed        = orig_opt.seed,    # uncomment to make it deterministic
+            sampler     = self.generate.sampler,
+            steps       = opt.steps,
+            cfg_scale   = opt.cfg_scale,
+            ddim_eta    = self.generate.ddim_eta,
+            width       = extended_image.width,
+            height      = extended_image.height,
+            init_img    = extended_image,
+            strength    = opt.strength,
+            image_callback = wrapped_callback,
+        )
+        
+        # swap sampler back
+        self.generate.sampler = curr_sampler
+        return result
+
+    def _extend_all(
+            self,
+            extents:dict,
+    ) -> Image:
+        '''
+        Extend the image in direction ('top','bottom','left','right') by
+        the indicated value. The image canvas is extended, and the empty
+        rectangular section will be filled with a blurred copy of the
+        adjacent image.
+        '''
+        image = self.image
+        for direction in extents:
+            assert direction in ['top', 'left', 'bottom', 'right'],'Direction must be one of "top", "left", "bottom", "right"'
+            pixels = extents[direction]
+            # round pixels up to the nearest 64
+            pixels = math.ceil(pixels/64) * 64
+            print(f'>> extending image {direction}ward by {pixels} pixels')
+            image = self._rotate(image,direction)
+            image = self._extend(image,pixels)
+            image = self._rotate(image,direction,reverse=True)
+        return image
+
+    def _rotate(self,image:Image,direction:str,reverse=False) -> Image:
+        '''
+        Rotates image so that the area to extend is always at the top top.
+        Simplifies logic later. The reverse argument, if true, will undo the
+        previous transpose.
+        '''
+        transposes = {
+            'right':  ['ROTATE_90','ROTATE_270'],
+            'bottom': ['ROTATE_180','ROTATE_180'],
+            'left':   ['ROTATE_270','ROTATE_90']
+        }
+        if direction not in transposes:
+            return image
+        transpose = transposes[direction][1 if reverse else 0]
+        return image.transpose(Image.Transpose.__dict__[transpose])
+
+    def _extend(self,image:Image,pixels:int)-> Image:
+        extended_img = Image.new('RGBA',(image.width,image.height+pixels))
+
+        # first paste places old image at top of extended image, stretch
+        # it, and applies a gaussian blur to it
+        # take the top half region, stretch and paste it
+        top_slice = image.crop(box=(0,0,image.width,pixels//2))
+        top_slice = top_slice.resize((image.width,pixels))
+        extended_img.paste(top_slice,box=(0,0))
+
+        # second paste creates a copy of the image displaced pixels downward;
+        # The overall effect is to create a blurred duplicate of the top portion of
+        # the image.
+        extended_img.paste(image,box=(0,pixels))
+        extended_img = extended_img.filter(filter=ImageFilter.GaussianBlur(radius=pixels//2))
+        extended_img.paste(image,box=(0,pixels))
+        
+        # now make the top part transparent to use as a mask
+        alpha = extended_img.getchannel('A')
+        alpha.paste(0,(0,0,extended_img.width,pixels*2))
+        extended_img.putalpha(alpha)
+
+        return extended_img
diff --git a/ldm/dream/restoration/outpaint.py b/ldm/dream/restoration/outpaint.py
new file mode 100644
index 0000000000..525e158779
--- /dev/null
+++ b/ldm/dream/restoration/outpaint.py
@@ -0,0 +1,94 @@
+import warnings
+import math
+from PIL import Image, ImageFilter
+
+class Outpaint(object):
+    def __init__(self, image, generate):
+        self.image     = image
+        self.generate  = generate
+
+    def process(self, opt, old_opt, image_callback = None, prefix = None):
+        image = self._create_outpaint_image(self.image, opt.out_direction)
+
+        seed   = old_opt.seed
+        prompt = old_opt.prompt
+
+        print(f'DEBUG: old seed={seed}, old prompt = {prompt}')
+
+        def wrapped_callback(img,seed,**kwargs):
+            image_callback(img,seed,use_prefix=prefix,**kwargs)
+
+        
+        return self.generate.prompt2image(
+            prompt,
+            seed           = seed,
+            sampler        = self.generate.sampler,
+            steps          = opt.steps,
+            cfg_scale      = opt.cfg_scale,
+            ddim_eta       = self.generate.ddim_eta,
+            width          = opt.width,
+            height         = opt.height,
+            init_img       = image,
+            strength       = 0.83,
+            image_callback = wrapped_callback,
+            prefix         = prefix,
+        )
+
+    def _create_outpaint_image(self, image, direction_args):
+        assert len(direction_args) in [1, 2], 'Direction (-D) must have exactly one or two arguments.'
+
+        if len(direction_args) == 1:
+            direction = direction_args[0]
+            pixels = None
+        elif len(direction_args) == 2:
+            direction = direction_args[0]
+            pixels = int(direction_args[1])
+
+        assert direction in ['top', 'left', 'bottom', 'right'], 'Direction (-D) must be one of "top", "left", "bottom", "right"'
+
+        image = image.convert("RGBA")
+        # we always extend top, but rotate to extend along the requested side
+        if direction == 'left':
+            image = image.transpose(Image.Transpose.ROTATE_270)
+        elif direction == 'bottom':
+            image = image.transpose(Image.Transpose.ROTATE_180)
+        elif direction == 'right':
+            image = image.transpose(Image.Transpose.ROTATE_90)
+
+        pixels = image.height//2 if pixels is None else int(pixels)
+        assert 0 < pixels < image.height, 'Direction (-D) pixels length must be in the range 0 - image.size'
+
+        # the top part of the image is taken from the source image mirrored
+        # coordinates (0,0) are the upper left corner of an image
+        top = image.transpose(Image.Transpose.FLIP_TOP_BOTTOM).convert("RGBA")
+        top = top.crop((0, top.height - pixels, top.width, top.height))
+
+        # setting all alpha of the top part to 0
+        alpha = top.getchannel("A")
+        alpha.paste(0, (0, 0, top.width, top.height))
+        top.putalpha(alpha)
+
+        # taking the bottom from the original image
+        bottom = image.crop((0, 0, image.width, image.height - pixels))
+
+        new_img = image.copy()
+        new_img.paste(top, (0, 0))
+        new_img.paste(bottom, (0, pixels))
+
+        # create a 10% dither in the middle
+        dither = min(image.height//10, pixels)
+        for x in range(0, image.width, 2):
+            for y in range(pixels - dither, pixels + dither):
+                (r, g, b, a) = new_img.getpixel((x, y))
+                new_img.putpixel((x, y), (r, g, b, 0))
+
+        # let's rotate back again
+        if direction == 'left':
+            new_img = new_img.transpose(Image.Transpose.ROTATE_90)
+        elif direction == 'bottom':
+            new_img = new_img.transpose(Image.Transpose.ROTATE_180)
+        elif direction == 'right':
+            new_img = new_img.transpose(Image.Transpose.ROTATE_270)
+
+        return new_img
+
diff --git a/ldm/dream/server.py b/ldm/dream/server.py
index bff1117fd3..46002a9b27 100644
--- a/ldm/dream/server.py
+++ b/ldm/dream/server.py
@@ -35,6 +35,8 @@ def build_opt(post_data, seed, gfpgan_model_exists):
     setattr(opt, 'upscale', [int(post_data['upscale_level']), float(post_data['upscale_strength'])] if post_data['upscale_level'] != '' else None)
     setattr(opt, 'progress_images', 'progress_images' in post_data)
     setattr(opt, 'seed', None if int(post_data['seed']) == -1 else int(post_data['seed']))
+    setattr(opt, 'threshold', float(post_data['threshold']))
+    setattr(opt, 'perlin', float(post_data['perlin']))
     setattr(opt, 'variation_amount', float(post_data['variation_amount']) if int(post_data['seed']) != -1 else 0)
     setattr(opt, 'with_variations', [])
     setattr(opt, 'embiggen', None)
diff --git a/ldm/generate.py b/ldm/generate.py
index 8961bbb9f7..37e84f05e6 100644
--- a/ldm/generate.py
+++ b/ldm/generate.py
@@ -19,6 +19,7 @@ import cv2
 import skimage
 
 from omegaconf import OmegaConf
+from ldm.dream.generator.base import downsampling
 from PIL import Image, ImageOps
 from torch import nn
 from pytorch_lightning import seed_everything, logging
@@ -33,23 +34,7 @@ from ldm.dream.image_util import InitImageResizer
 from ldm.dream.devices import choose_torch_device, choose_precision
 from ldm.dream.conditioning import get_uc_and_c
 
-def fix_func(orig):
-    if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
-        def new_func(*args, **kw):
-            device = kw.get("device", "mps")
-            kw["device"]="cpu"
-            return orig(*args, **kw).to(device)
-        return new_func
-    return orig
 
-torch.rand = fix_func(torch.rand)
-torch.rand_like = fix_func(torch.rand_like)
-torch.randn = fix_func(torch.randn)
-torch.randn_like = fix_func(torch.randn_like)
-torch.randint = fix_func(torch.randint)
-torch.randint_like = fix_func(torch.randint_like)
-torch.bernoulli = fix_func(torch.bernoulli)
-torch.multinomial = fix_func(torch.multinomial)
 
 def fix_func(orig):
     if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
@@ -69,23 +54,7 @@ torch.randint_like = fix_func(torch.randint_like)
 torch.bernoulli = fix_func(torch.bernoulli)
 torch.multinomial = fix_func(torch.multinomial)
 
-def fix_func(orig):
-    if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
-        def new_func(*args, **kw):
-            device = kw.get("device", "mps")
-            kw["device"]="cpu"
-            return orig(*args, **kw).to(device)
-        return new_func
-    return orig
 
-torch.rand = fix_func(torch.rand)
-torch.rand_like = fix_func(torch.rand_like)
-torch.randn = fix_func(torch.randn)
-torch.randn_like = fix_func(torch.randn_like)
-torch.randint = fix_func(torch.randint)
-torch.randint_like = fix_func(torch.randint_like)
-torch.bernoulli = fix_func(torch.bernoulli)
-torch.multinomial = fix_func(torch.multinomial)
 
 """Simplified text to image API for stable diffusion/latent diffusion
 
@@ -269,6 +238,8 @@ class Generate:
             log_tokenization = False,
             with_variations  = None,
             variation_amount = 0.0,
+            threshold        = 0.0,
+            perlin           = 0.0,
             # these are specific to img2img and inpaint
             init_img         = None,
             init_mask        = None,
@@ -278,7 +249,6 @@ class Generate:
             # these are specific to embiggen (which also relies on img2img args)
             embiggen       =    None,
             embiggen_tiles =    None,
-            out_direction  =    None,
             # these are specific to GFPGAN/ESRGAN
             facetool         = None,
             gfpgan_strength  = 0,
@@ -287,6 +257,7 @@ class Generate:
             upscale          = None,
             # Set this True to handle KeyboardInterrupt internally
             catch_interrupts = False,
+            hires_fix        = False,
             **args,
     ):   # eat up additional cruft
         """
@@ -308,6 +279,8 @@ class Generate:
            image_callback                  // a function or method that will be called each time an image is generated
            with_variations                 // a weighted list [(seed_1, weight_1), (seed_2, weight_2), ...] of variations which should be applied before doing any generation
            variation_amount                // optional 0-1 value to slerp from -S noise to random noise (allows variations on an image)
+           threshold                       // optional value >=0 to add thresholding to latent values for k-diffusion samplers (0 disables)
+           perlin                          // optional 0-1 value to add a percentage of perlin noise to the initial noise
            embiggen                        // scale factor relative to the size of the --init_img (-I), followed by ESRGAN upscaling strength (0-1.0), followed by minimum amount of overlap between tiles as a decimal ratio (0 - 1.0) or number of pixels
            embiggen_tiles                  // list of tiles by number in order to process and replace onto the image e.g. `0 2 4`
 
@@ -348,12 +321,16 @@ class Generate:
                 m.padding_mode = 'circular' if seamless else m._orig_padding_mode
 
         assert cfg_scale > 1.0, 'CFG_Scale (-C) must be >1.0'
+        assert threshold >= 0.0, '--threshold must be >=0.0'
         assert (
             0.0 < strength < 1.0
         ), 'img2img and inpaint strength can only work with 0.0 < strength < 1.0'
         assert (
             0.0 <= variation_amount <= 1.0
         ), '-v --variation_amount must be in [0.0, 1.0]'
+        assert (
+                0.0 <= perlin <= 1.0
+        ), '--perlin must be in [0.0, 1.0]'
         assert (
             (embiggen == None and embiggen_tiles == None) or (
                 (embiggen != None or embiggen_tiles != None) and init_img != None)
@@ -395,7 +372,6 @@ class Generate:
                 width,
                 height,
                 fit=fit,
-                out_direction=out_direction,
             )
             if (init_image is not None) and (mask_image is not None):
                 generator = self._make_inpaint()
@@ -403,6 +379,8 @@ class Generate:
                 generator = self._make_embiggen()
             elif init_image is not None:
                 generator = self._make_img2img()
+            elif hires_fix:
+                generator = self._make_txt2img2img()
             else:
                 generator = self._make_txt2img()
 
@@ -425,6 +403,8 @@ class Generate:
                 init_image=init_image,      # notice that init_image is different from init_img
                 mask_image=mask_image,
                 strength=strength,
+                threshold=threshold,
+                perlin=perlin,
                 embiggen=embiggen,
                 embiggen_tiles=embiggen_tiles,
             )
@@ -485,6 +465,7 @@ class Generate:
             codeformer_fidelity = 0.75,
             upscale             = None,
             out_direction       = None,
+            outcrop             = [],
             save_original       = True, # to get new name
             callback            = None,
             opt                 = None,
@@ -504,17 +485,22 @@ class Generate:
             seed = 42
 
         # try to reuse the same filename prefix as the original file.
-        # note that this is hacky
+        # we take everything up to the first period
         prefix = None
-        m    = re.search('(\d+)\.',os.path.basename(image_path))
+        m    = re.match('^([^.]+)\.',os.path.basename(image_path))
         if m:
             prefix = m.groups()[0]
 
         # face fixers and esrgan take an Image, but embiggen takes a path
         image = Image.open(image_path)
 
-        # Note that we need to adopt a uniform API for the postprocessors.
-        # This is completely ad hoc ATCM
+        # used by multiple postfixers
+        uc, c = get_uc_and_c(
+            prompt, model =self.model,
+            skip_normalize=opt.skip_normalize,
+            log_tokens    =opt.log_tokenization
+        )
+
         if tool in ('gfpgan','codeformer','upscale'):
             if tool == 'gfpgan':
                 facetool = 'gfpgan'
@@ -534,14 +520,24 @@ class Generate:
                 prefix = prefix,
             )
 
+        elif tool == 'outcrop':
+            from ldm.dream.restoration.outcrop import Outcrop
+            extend_instructions = {}
+            for direction,pixels in _pairwise(opt.outcrop):
+                extend_instructions[direction]=int(pixels)
+
+            restorer = Outcrop(image,self,)
+            return restorer.process (
+                extend_instructions,
+                opt            = opt,
+                orig_opt       = args,
+                image_callback = callback,
+                prefix = prefix,
+            )
+
         elif tool == 'embiggen':
             # fetch the metadata from the image
             generator = self._make_embiggen()
-            uc, c = get_uc_and_c(
-                prompt, model =self.model,
-                skip_normalize=opt.skip_normalize,
-                log_tokens    =opt.log_tokenization
-            )
             opt.strength  = 0.40
             print(f'>> Setting img2img strength to {opt.strength} for happy embiggening')
             # embiggen takes a image path (sigh)
@@ -562,27 +558,15 @@ class Generate:
                 image_callback = callback,
             )
         elif tool == 'outpaint':
-            oldargs      = metadata_from_png(image_path)
-            opt.strength = 0.83
-            opt.init_img = image_path
-            return self.prompt2image(
-                oldargs.prompt,
-                out_direction  = opt.out_direction,
-                sampler     = self.sampler,
-                steps       = opt.steps,
-                cfg_scale   = opt.cfg_scale,
-                ddim_eta    = self.ddim_eta,
-                conditioning= get_uc_and_c(
-                    oldargs.prompt, model =self.model,
-                    skip_normalize=opt.skip_normalize,
-                    log_tokens    =opt.log_tokenization
-                ),
-                width       = opt.width,
-                height      = opt.height,
-                init_img    = image_path,  # not the Image! (sigh)
-                strength    = opt.strength,
+            from ldm.dream.restoration.outpaint import Outpaint
+            restorer = Outpaint(image,self)
+            return restorer.process(
+                opt,
+                args,
                 image_callback = callback,
-                )
+                prefix         = prefix
+            )
+                
         elif tool is None:
             print(f'* please provide at least one postprocessing option, such as -G or -U')
             return None
@@ -598,7 +582,6 @@ class Generate:
             width,
             height,
             fit=False,
-            out_direction=None,
     ):
         init_image      = None
         init_mask       = None
@@ -609,11 +592,7 @@ class Generate:
             img,
             width,
             height,
-            fit=fit
-        ) # this returns an Image
-        if out_direction:
-            image    = self._create_outpaint_image(image, out_direction)
-        init_image   = self._create_init_image(image)                   # this returns a torch tensor
+        )
 
         # if image has a transparent area and no mask was provided, then try to generate mask
         if self._has_transparency(image) and not mask:
@@ -626,12 +605,17 @@ class Generate:
                     '>>          a transparency mask, or provide mask explicitly using --init_mask (-M).'
                 )
             # this returns a torch tensor
-            init_mask = self._create_init_mask(image)
+            init_mask = self._create_init_mask(image,width,height,fit=fit)
+            
+        if (image.width * image.height) > (self.width * self.height):
+            print(">> This input is larger than your defaults. If you run out of memory, please use a smaller image.")
+
+        init_image   = self._create_init_image(image,width,height,fit=fit)                   # this returns a torch tensor
 
         if mask:
             mask_image = self._load_img(
-                mask, width, height, fit=fit)  # this returns an Image
-            init_mask = self._create_init_mask(mask_image)
+                mask, width, height)  # this returns an Image
+            init_mask = self._create_init_mask(mask_image,width,height,fit=fit)
 
         return init_image, init_mask
 
@@ -660,6 +644,13 @@ class Generate:
             self.generators['txt2img'].free_gpu_mem = self.free_gpu_mem
         return self.generators['txt2img']
 
+    def _make_txt2img2img(self):
+        if not self.generators.get('txt2img2'):
+            from ldm.dream.generator.txt2img2img import Txt2Img2Img
+            self.generators['txt2img2'] = Txt2Img2Img(self.model, self.precision)
+            self.generators['txt2img2'].free_gpu_mem = self.free_gpu_mem
+        return self.generators['txt2img2']
+
     def _make_inpaint(self):
         if not self.generators.get('inpaint'):
             from ldm.dream.generator.inpaint import Inpaint
@@ -840,7 +831,7 @@ class Generate:
 
         return model
 
-    def _load_img(self, img, width, height, fit=False):
+    def _load_img(self, img, width, height)->Image:
         if isinstance(img, Image.Image):
             image = img
             print(
@@ -858,92 +849,33 @@ class Generate:
             print(
                 f'>> loaded input image of size {image.width}x{image.height}'
             )
+        image = ImageOps.exif_transpose(image)
+        return image
+
+    def _create_init_image(self, image, width, height, fit=True):
+        image = image.convert('RGB')
         if fit:
             image = self._fit_image(image, (width, height))
         else:
             image = self._squeeze_image(image)
-        return image
-
-    def _create_init_image(self, image):
-        image = image.convert('RGB')
         image = np.array(image).astype(np.float32) / 255.0
         image = image[None].transpose(0, 3, 1, 2)
         image = torch.from_numpy(image)
         image = 2.0 * image - 1.0
         return image.to(self.device)
 
-    #  TODO: outpainting is a post-processing application and should be made to behave
-    # like the other ones.
-    def _create_outpaint_image(self, image, direction_args):
-        assert len(direction_args) in [1, 2], 'Direction (-D) must have exactly one or two arguments.'
-
-        if len(direction_args) == 1:
-            direction = direction_args[0]
-            pixels = None
-        elif len(direction_args) == 2:
-            direction = direction_args[0]
-            pixels = int(direction_args[1])
-
-        assert direction in ['top', 'left', 'bottom', 'right'], 'Direction (-D) must be one of "top", "left", "bottom", "right"'
-
-        image = image.convert("RGBA")
-        # we always extend top, but rotate to extend along the requested side
-        if direction == 'left':
-            image = image.transpose(Image.Transpose.ROTATE_270)
-        elif direction == 'bottom':
-            image = image.transpose(Image.Transpose.ROTATE_180)
-        elif direction == 'right':
-            image = image.transpose(Image.Transpose.ROTATE_90)
-
-        pixels = image.height//2 if pixels is None else int(pixels)
-        assert 0 < pixels < image.height, 'Direction (-D) pixels length must be in the range 0 - image.size'
-
-        # the top part of the image is taken from the source image mirrored
-        # coordinates (0,0) are the upper left corner of an image
-        top = image.transpose(Image.Transpose.FLIP_TOP_BOTTOM).convert("RGBA")
-        top = top.crop((0, top.height - pixels, top.width, top.height))
-
-        # setting all alpha of the top part to 0
-        alpha = top.getchannel("A")
-        alpha.paste(0, (0, 0, top.width, top.height))
-        top.putalpha(alpha)
-
-        # taking the bottom from the original image
-        bottom = image.crop((0, 0, image.width, image.height - pixels))
-
-        new_img = image.copy()
-        new_img.paste(top, (0, 0))
-        new_img.paste(bottom, (0, pixels))
-
-        # create a 10% dither in the middle
-        dither = min(image.height//10, pixels)
-        for x in range(0, image.width, 2):
-            for y in range(pixels - dither, pixels + dither):
-                (r, g, b, a) = new_img.getpixel((x, y))
-                new_img.putpixel((x, y), (r, g, b, 0))
-
-        # let's rotate back again
-        if direction == 'left':
-            new_img = new_img.transpose(Image.Transpose.ROTATE_90)
-        elif direction == 'bottom':
-            new_img = new_img.transpose(Image.Transpose.ROTATE_180)
-        elif direction == 'right':
-            new_img = new_img.transpose(Image.Transpose.ROTATE_270)
-
-        return new_img
-
-    def _create_init_mask(self, image):
+    def _create_init_mask(self, image, width, height, fit=True):
         # convert into a black/white mask
         image = self._image_to_mask(image)
         image = image.convert('RGB')
-        # BUG: We need to use the model's downsample factor rather than hardcoding "8"
-        from ldm.dream.generator.base import downsampling
+
+        # now we adjust the size
+        if fit:
+            image = self._fit_image(image, (width, height))
+        else:
+            image = self._squeeze_image(image)
         image = image.resize((image.width//downsampling, image.height //
                               downsampling), resample=Image.Resampling.NEAREST)
-        # print(
-        #     f'>> DEBUG: writing the mask to mask.png'
-        #     )
-        # image.save('mask.png')
         image = np.array(image)
         image = image.astype(np.float32) / 255.0
         image = image[None].transpose(0, 3, 1, 2)
@@ -1025,10 +957,6 @@ class Generate:
             height = h
             width = w
             resize_needed = True
-
-        if (width * height) > (self.width * self.height):
-            print(">> This input is larger than your defaults. If you run out of memory, please use a smaller image.")
-
         return width, height, resize_needed
 
 
@@ -1055,3 +983,20 @@ class Generate:
             f.write(hash)
         return hash
 
+    def write_intermediate_images(self,modulus,path):
+        counter = -1
+        if not os.path.exists(path):
+            os.makedirs(path)
+        def callback(img):
+            nonlocal counter
+            counter += 1
+            if counter % modulus != 0:
+                return;
+            image = self.sample_to_image(img)
+            image.save(os.path.join(path,f'{counter:03}.png'),'PNG')
+        return callback
+
+def _pairwise(iterable):
+    "s -> (s0, s1), (s2, s3), (s4, s5), ..."
+    a = iter(iterable)
+    return zip(a, a)
diff --git a/ldm/models/diffusion/ddim.py b/ldm/models/diffusion/ddim.py
index b875aac331..7aca381c74 100644
--- a/ldm/models/diffusion/ddim.py
+++ b/ldm/models/diffusion/ddim.py
@@ -5,289 +5,31 @@ import numpy as np
 from tqdm import tqdm
 from functools import partial
 from ldm.dream.devices import choose_torch_device
+from ldm.models.diffusion.sampler import Sampler
+from ldm.modules.diffusionmodules.util import  noise_like
 
-from ldm.modules.diffusionmodules.util import (
-    make_ddim_sampling_parameters,
-    make_ddim_timesteps,
-    noise_like,
-    extract_into_tensor,
-)
-
-
-class DDIMSampler(object):
+class DDIMSampler(Sampler):
     def __init__(self, model, schedule='linear', device=None, **kwargs):
-        super().__init__()
-        self.model = model
-        self.ddpm_num_timesteps = model.num_timesteps
-        self.schedule = schedule
-        self.device   = device or choose_torch_device()
-
-    def register_buffer(self, name, attr):
-        if type(attr) == torch.Tensor:
-            if attr.device != torch.device(self.device):
-                attr = attr.to(dtype=torch.float32, device=self.device)
-        setattr(self, name, attr)
-
-    def make_schedule(
-        self,
-        ddim_num_steps,
-        ddim_discretize='uniform',
-        ddim_eta=0.0,
-        verbose=True,
-    ):
-        self.ddim_timesteps = make_ddim_timesteps(
-            ddim_discr_method=ddim_discretize,
-            num_ddim_timesteps=ddim_num_steps,
-            num_ddpm_timesteps=self.ddpm_num_timesteps,
-            verbose=verbose,
-        )
-        alphas_cumprod = self.model.alphas_cumprod
-        assert (
-            alphas_cumprod.shape[0] == self.ddpm_num_timesteps
-        ), 'alphas have to be defined for each timestep'
-        to_torch = (
-            lambda x: x.clone()
-            .detach()
-            .to(torch.float32)
-            .to(self.model.device)
-        )
-
-        self.register_buffer('betas', to_torch(self.model.betas))
-        self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod))
-        self.register_buffer(
-            'alphas_cumprod_prev', to_torch(self.model.alphas_cumprod_prev)
-        )
-
-        # calculations for diffusion q(x_t | x_{t-1}) and others
-        self.register_buffer(
-            'sqrt_alphas_cumprod', to_torch(np.sqrt(alphas_cumprod.cpu()))
-        )
-        self.register_buffer(
-            'sqrt_one_minus_alphas_cumprod',
-            to_torch(np.sqrt(1.0 - alphas_cumprod.cpu())),
-        )
-        self.register_buffer(
-            'log_one_minus_alphas_cumprod',
-            to_torch(np.log(1.0 - alphas_cumprod.cpu())),
-        )
-        self.register_buffer(
-            'sqrt_recip_alphas_cumprod',
-            to_torch(np.sqrt(1.0 / alphas_cumprod.cpu())),
-        )
-        self.register_buffer(
-            'sqrt_recipm1_alphas_cumprod',
-            to_torch(np.sqrt(1.0 / alphas_cumprod.cpu() - 1)),
-        )
-
-        # ddim sampling parameters
-        (
-            ddim_sigmas,
-            ddim_alphas,
-            ddim_alphas_prev,
-        ) = make_ddim_sampling_parameters(
-            alphacums=alphas_cumprod.cpu(),
-            ddim_timesteps=self.ddim_timesteps,
-            eta=ddim_eta,
-            verbose=verbose,
-        )
-        self.register_buffer('ddim_sigmas', ddim_sigmas)
-        self.register_buffer('ddim_alphas', ddim_alphas)
-        self.register_buffer('ddim_alphas_prev', ddim_alphas_prev)
-        self.register_buffer(
-            'ddim_sqrt_one_minus_alphas', np.sqrt(1.0 - ddim_alphas)
-        )
-        sigmas_for_original_sampling_steps = ddim_eta * torch.sqrt(
-            (1 - self.alphas_cumprod_prev)
-            / (1 - self.alphas_cumprod)
-            * (1 - self.alphas_cumprod / self.alphas_cumprod_prev)
-        )
-        self.register_buffer(
-            'ddim_sigmas_for_original_num_steps',
-            sigmas_for_original_sampling_steps,
-        )
+        super().__init__(model,schedule,model.num_timesteps,device)
 
+    # This is the central routine
     @torch.no_grad()
-    def sample(
-        self,
-        S,
-        batch_size,
-        shape,
-        conditioning=None,
-        callback=None,
-        normals_sequence=None,
-        img_callback=None,
-        quantize_x0=False,
-        eta=0.0,
-        mask=None,
-        x0=None,
-        temperature=1.0,
-        noise_dropout=0.0,
-        score_corrector=None,
-        corrector_kwargs=None,
-        verbose=True,
-        x_T=None,
-        log_every_t=100,
-        unconditional_guidance_scale=1.0,
-        unconditional_conditioning=None,
-        # this has to come in the same format as the conditioning, # e.g. as encoded tokens, ...
-        **kwargs,
-    ):
-        if conditioning is not None:
-            if isinstance(conditioning, dict):
-                cbs = conditioning[list(conditioning.keys())[0]].shape[0]
-                if cbs != batch_size:
-                    print(
-                        f'Warning: Got {cbs} conditionings but batch-size is {batch_size}'
-                    )
-            else:
-                if conditioning.shape[0] != batch_size:
-                    print(
-                        f'Warning: Got {conditioning.shape[0]} conditionings but batch-size is {batch_size}'
-                    )
-
-        self.make_schedule(ddim_num_steps=S, ddim_eta=eta, verbose=verbose)
-        # sampling
-        C, H, W = shape
-        size = (batch_size, C, H, W)
-        print(f'Data shape for DDIM sampling is {size}, eta {eta}')
-
-        samples, intermediates = self.ddim_sampling(
-            conditioning,
-            size,
-            callback=callback,
-            img_callback=img_callback,
-            quantize_denoised=quantize_x0,
-            mask=mask,
-            x0=x0,
-            ddim_use_original_steps=False,
-            noise_dropout=noise_dropout,
-            temperature=temperature,
-            score_corrector=score_corrector,
-            corrector_kwargs=corrector_kwargs,
-            x_T=x_T,
-            log_every_t=log_every_t,
-            unconditional_guidance_scale=unconditional_guidance_scale,
-            unconditional_conditioning=unconditional_conditioning,
-        )
-        return samples, intermediates
-
-    # This routine gets called from img2img
-    @torch.no_grad()
-    def ddim_sampling(
-        self,
-        cond,
-        shape,
-        x_T=None,
-        ddim_use_original_steps=False,
-        callback=None,
-        timesteps=None,
-        quantize_denoised=False,
-        mask=None,
-        x0=None,
-        img_callback=None,
-        log_every_t=100,
-        temperature=1.0,
-        noise_dropout=0.0,
-        score_corrector=None,
-        corrector_kwargs=None,
-        unconditional_guidance_scale=1.0,
-        unconditional_conditioning=None,
-    ):
-        device = self.model.betas.device
-        b = shape[0]
-        if x_T is None:
-            img = torch.randn(shape, device=device)
-        else:
-            img = x_T
-
-        if timesteps is None:
-            timesteps = (
-                self.ddpm_num_timesteps
-                if ddim_use_original_steps
-                else self.ddim_timesteps
-            )
-        elif timesteps is not None and not ddim_use_original_steps:
-            subset_end = (
-                int(
-                    min(timesteps / self.ddim_timesteps.shape[0], 1)
-                    * self.ddim_timesteps.shape[0]
-                )
-                - 1
-            )
-            timesteps = self.ddim_timesteps[:subset_end]
-
-        intermediates = {'x_inter': [img], 'pred_x0': [img]}
-        time_range = (
-            reversed(range(0, timesteps))
-            if ddim_use_original_steps
-            else np.flip(timesteps)
-        )
-        total_steps = (
-            timesteps if ddim_use_original_steps else timesteps.shape[0]
-        )
-        print(f'\nRunning DDIM Sampling with {total_steps} timesteps')
-
-        iterator = tqdm(
-            time_range,
-            desc='DDIM Sampler',
-            total=total_steps,
-            dynamic_ncols=True,
-        )
-
-        for i, step in enumerate(iterator):
-            index = total_steps - i - 1
-            ts = torch.full((b,), step, device=device, dtype=torch.long)
-
-            if mask is not None:
-                assert x0 is not None
-                img_orig = self.model.q_sample(
-                    x0, ts
-                )  # TODO: deterministic forward pass?
-                img = img_orig * mask + (1.0 - mask) * img
-
-            outs = self.p_sample_ddim(
-                img,
-                cond,
-                ts,
-                index=index,
-                use_original_steps=ddim_use_original_steps,
-                quantize_denoised=quantize_denoised,
-                temperature=temperature,
-                noise_dropout=noise_dropout,
-                score_corrector=score_corrector,
-                corrector_kwargs=corrector_kwargs,
-                unconditional_guidance_scale=unconditional_guidance_scale,
-                unconditional_conditioning=unconditional_conditioning,
-            )
-            img, pred_x0 = outs
-            if callback:
-                callback(i)
-            if img_callback:
-                img_callback(pred_x0, i)
-
-            if index % log_every_t == 0 or index == total_steps - 1:
-                intermediates['x_inter'].append(img)
-                intermediates['pred_x0'].append(pred_x0)
-
-        return img, intermediates
-
-    # This routine gets called from ddim_sampling() and decode()
-    @torch.no_grad()
-    def p_sample_ddim(
-        self,
-        x,
-        c,
-        t,
-        index,
-        repeat_noise=False,
-        use_original_steps=False,
-        quantize_denoised=False,
-        temperature=1.0,
-        noise_dropout=0.0,
-        score_corrector=None,
-        corrector_kwargs=None,
-        unconditional_guidance_scale=1.0,
-        unconditional_conditioning=None,
+    def p_sample(
+            self,
+            x,
+            c,
+            t,
+            index,
+            repeat_noise=False,
+            use_original_steps=False,
+            quantize_denoised=False,
+            temperature=1.0,
+            noise_dropout=0.0,
+            score_corrector=None,
+            corrector_kwargs=None,
+            unconditional_guidance_scale=1.0,
+            unconditional_conditioning=None,
+            **kwargs,
     ):
         b, *_, device = *x.shape, x.device
 
@@ -351,83 +93,5 @@ class DDIMSampler(object):
         if noise_dropout > 0.0:
             noise = torch.nn.functional.dropout(noise, p=noise_dropout)
         x_prev = a_prev.sqrt() * pred_x0 + dir_xt + noise
-        return x_prev, pred_x0
+        return x_prev, pred_x0, None
 
-    @torch.no_grad()
-    def stochastic_encode(self, x0, t, use_original_steps=False, noise=None):
-        # fast, but does not allow for exact reconstruction
-        # t serves as an index to gather the correct alphas
-        if use_original_steps:
-            sqrt_alphas_cumprod = self.sqrt_alphas_cumprod
-            sqrt_one_minus_alphas_cumprod = self.sqrt_one_minus_alphas_cumprod
-        else:
-            sqrt_alphas_cumprod = torch.sqrt(self.ddim_alphas)
-            sqrt_one_minus_alphas_cumprod = self.ddim_sqrt_one_minus_alphas
-
-        if noise is None:
-            noise = torch.randn_like(x0)
-        return (
-            extract_into_tensor(sqrt_alphas_cumprod, t, x0.shape) * x0
-            + extract_into_tensor(sqrt_one_minus_alphas_cumprod, t, x0.shape)
-            * noise
-        )
-
-    @torch.no_grad()
-    def decode(
-            self,
-            x_latent,
-            cond,
-            t_start,
-            img_callback=None,
-            unconditional_guidance_scale=1.0,
-            unconditional_conditioning=None,
-            use_original_steps=False,
-            init_latent       = None,
-            mask              = None,
-    ):
-
-        timesteps = (
-            np.arange(self.ddpm_num_timesteps)
-            if use_original_steps
-            else self.ddim_timesteps
-        )
-        timesteps = timesteps[:t_start]
-
-        time_range = np.flip(timesteps)
-        total_steps = timesteps.shape[0]
-        print(f'Running DDIM Sampling with {total_steps} timesteps')
-
-        iterator = tqdm(time_range, desc='Decoding image', total=total_steps)
-        x_dec = x_latent
-        x0    = init_latent
-
-        for i, step in enumerate(iterator):
-            index = total_steps - i - 1
-            ts = torch.full(
-                (x_latent.shape[0],),
-                step,
-                device=x_latent.device,
-                dtype=torch.long,
-            )
-
-            if mask is not None:
-                assert x0 is not None
-                xdec_orig = self.model.q_sample(
-                    x0, ts
-                )  # TODO: deterministic forward pass?
-                x_dec = xdec_orig * mask + (1.0 - mask) * x_dec
-
-            x_dec, _ = self.p_sample_ddim(
-                x_dec,
-                cond,
-                ts,
-                index=index,
-                use_original_steps=use_original_steps,
-                unconditional_guidance_scale=unconditional_guidance_scale,
-                unconditional_conditioning=unconditional_conditioning,
-            )
-
-            if img_callback:
-                img_callback(x_dec, i)
-
-        return x_dec
diff --git a/ldm/models/diffusion/ddpm.py b/ldm/models/diffusion/ddpm.py
index ccfffa9b9b..3f103da767 100644
--- a/ldm/models/diffusion/ddpm.py
+++ b/ldm/models/diffusion/ddpm.py
@@ -701,7 +701,7 @@ class LatentDiffusion(DDPM):
 
     @rank_zero_only
     @torch.no_grad()
-    def on_train_batch_start(self, batch, batch_idx, dataloader_idx):
+    def on_train_batch_start(self, batch, batch_idx, dataloader_idx=None):
         # only for very first batch
         if (
             self.scale_by_std
@@ -1890,7 +1890,7 @@ class LatentDiffusion(DDPM):
         N=8,
         n_row=4,
         sample=True,
-        ddim_steps=200,
+        ddim_steps=50,
         ddim_eta=1.0,
         return_keys=None,
         quantize_denoised=True,
diff --git a/ldm/models/diffusion/ksampler.py b/ldm/models/diffusion/ksampler.py
index 0f6814940e..3d84ba0c9a 100644
--- a/ldm/models/diffusion/ksampler.py
+++ b/ldm/models/diffusion/ksampler.py
@@ -3,26 +3,62 @@ import k_diffusion as K
 import torch
 import torch.nn as nn
 from ldm.dream.devices import choose_torch_device
+from ldm.models.diffusion.sampler import Sampler
+from ldm.util import rand_perlin_2d
+from ldm.modules.diffusionmodules.util import (
+    make_ddim_sampling_parameters,
+    make_ddim_timesteps,
+    noise_like,
+    extract_into_tensor,
+)
+
+def cfg_apply_threshold(result, threshold = 0.0, scale = 0.7):
+    if threshold <= 0.0:
+        return result
+    maxval = 0.0 + torch.max(result).cpu().numpy()
+    minval = 0.0 + torch.min(result).cpu().numpy()
+    if maxval < threshold and minval > -threshold:
+        return result
+    if maxval > threshold:
+        maxval = min(max(1, scale*maxval), threshold)
+    if minval < -threshold:
+        minval = max(min(-1, scale*minval), -threshold)
+    return torch.clamp(result, min=minval, max=maxval)
+
 
 class CFGDenoiser(nn.Module):
-    def __init__(self, model):
+    def __init__(self, model, threshold = 0, warmup = 0):
         super().__init__()
         self.inner_model = model
+        self.threshold = threshold
+        self.warmup_max = warmup
+        self.warmup = max(warmup / 10, 1)
 
     def forward(self, x, sigma, uncond, cond, cond_scale):
         x_in = torch.cat([x] * 2)
         sigma_in = torch.cat([sigma] * 2)
         cond_in = torch.cat([uncond, cond])
         uncond, cond = self.inner_model(x_in, sigma_in, cond=cond_in).chunk(2)
-        return uncond + (cond - uncond) * cond_scale
+        if self.warmup < self.warmup_max:
+            thresh = max(1, 1 + (self.threshold - 1) * (self.warmup / self.warmup_max))
+            self.warmup += 1
+        else:
+            thresh = self.threshold
+        if thresh > self.threshold:
+            thresh = self.threshold
+        return cfg_apply_threshold(uncond + (cond - uncond) * cond_scale, thresh)
 
 
-class KSampler(object):
+class KSampler(Sampler):
     def __init__(self, model, schedule='lms', device=None, **kwargs):
-        super().__init__()
-        self.model = K.external.CompVisDenoiser(model)
-        self.schedule = schedule
-        self.device   = device or choose_torch_device()
+        denoiser = K.external.CompVisDenoiser(model)
+        super().__init__(
+            denoiser,
+            schedule,
+            steps=model.num_timesteps,
+        )
+        self.ds    = None
+        self.s_in  = None
 
         def forward(self, x, sigma, uncond, cond, cond_scale):
             x_in = torch.cat([x] * 2)
@@ -33,7 +69,74 @@ class KSampler(object):
             ).chunk(2)
             return uncond + (cond - uncond) * cond_scale
 
-    # most of these arguments are ignored and are only present for compatibility with
+
+    def make_schedule(
+            self,
+            ddim_num_steps,
+            ddim_discretize='uniform',
+            ddim_eta=0.0,
+            verbose=False,
+    ):
+        outer_model = self.model
+        self.model  = outer_model.inner_model
+        super().make_schedule(
+            ddim_num_steps,
+            ddim_discretize='uniform',
+            ddim_eta=0.0,
+            verbose=False,
+        )
+        self.model          = outer_model
+        self.ddim_num_steps = ddim_num_steps
+        # we don't need both of these sigmas, but storing them here to make
+        # comparison easier later on
+        self.model_sigmas  = self.model.get_sigmas(ddim_num_steps)
+        self.karras_sigmas = K.sampling.get_sigmas_karras(
+            n=ddim_num_steps,
+            sigma_min=self.model.sigmas[0].item(),
+            sigma_max=self.model.sigmas[-1].item(),
+            rho=7.,
+            device=self.device,
+        )
+        self.sigmas = self.karras_sigmas
+        
+    # ALERT: We are completely overriding the sample() method in the base class, which
+    # means that inpainting will not work. To get this to work we need to be able to
+    # modify the inner loop of k_heun, k_lms, etc, as is done in an ugly way
+    # in the lstein/k-diffusion branch.
+    
+    @torch.no_grad()
+    def decode(
+            self,
+            z_enc,
+            cond,
+            t_enc,
+            img_callback=None,
+            unconditional_guidance_scale=1.0,
+            unconditional_conditioning=None,
+            use_original_steps=False,
+            init_latent       = None,
+            mask              = None,
+    ):
+        samples,_ = self.sample(
+            batch_size = 1,
+            S          = t_enc,
+            x_T        = z_enc,
+            shape      = z_enc.shape[1:],
+            conditioning = cond,
+            unconditional_guidance_scale=unconditional_guidance_scale,
+            unconditional_conditioning = unconditional_conditioning,
+            img_callback = img_callback,
+            x0           = init_latent,
+            mask         = mask
+            )
+        return samples
+
+    # this is a no-op, provided here for compatibility with ddim and plms samplers
+    @torch.no_grad()
+    def stochastic_encode(self, x0, t, use_original_steps=False, noise=None):
+        return x0
+    
+    # Most of these arguments are ignored and are only present for compatibility with
     # other samples
     @torch.no_grad()
     def sample(
@@ -58,27 +161,36 @@ class KSampler(object):
         log_every_t=100,
         unconditional_guidance_scale=1.0,
         unconditional_conditioning=None,
+        threshold = 0,
+        perlin = 0,
         # this has to come in the same format as the conditioning, # e.g. as encoded tokens, ...
         **kwargs,
     ):
         def route_callback(k_callback_values):
             if img_callback is not None:
-                img_callback(k_callback_values['x'], k_callback_values['i'])
+                img_callback(k_callback_values['x'],k_callback_values['i'])
 
-        sigmas = self.model.get_sigmas(S)
+        # sigmas are set up in make_schedule - we take the last steps items
+        total_steps = len(self.sigmas)
+        sigmas = self.sigmas[-S-1:]
+
+        # x_T is variation noise. When an init image is provided (in x0) we need to add
+        # more randomness to the starting image.
         if x_T is not None:
-            x = x_T * sigmas[0]
+            if x0 is not None:
+                x = x_T + torch.randn_like(x0, device=self.device) * sigmas[0]
+            else:
+                x = x_T * sigmas[0]
         else:
-            x = (
-                torch.randn([batch_size, *shape], device=self.device)
-                * sigmas[0]
-            )   # for GPU draw
-        model_wrap_cfg = CFGDenoiser(self.model)
+            x = torch.randn([batch_size, *shape], device=self.device) * sigmas[0]
+
+        model_wrap_cfg = CFGDenoiser(self.model, threshold=threshold, warmup=max(0.8*S,S-10))
         extra_args = {
             'cond': conditioning,
             'uncond': unconditional_conditioning,
             'cond_scale': unconditional_guidance_scale,
         }
+        print(f'>> Sampling with k_{self.schedule}')
         return (
             K.sampling.__dict__[f'sample_{self.schedule}'](
                 model_wrap_cfg, x, sigmas, extra_args=extra_args,
@@ -86,3 +198,74 @@ class KSampler(object):
             ),
             None,
         )
+
+    @torch.no_grad()
+    def p_sample(
+            self,
+            img,
+            cond,
+            ts,
+            index,
+            unconditional_guidance_scale=1.0,
+            unconditional_conditioning=None,
+            **kwargs,
+    ):
+        if self.model_wrap is None:
+            self.model_wrap = CFGDenoiser(self.model)
+        extra_args = {
+            'cond': cond,
+            'uncond': unconditional_conditioning,
+            'cond_scale': unconditional_guidance_scale,
+        }
+        if self.s_in is None:
+            self.s_in  = img.new_ones([img.shape[0]])
+        if self.ds is None:
+            self.ds = []
+
+        # terrible, confusing names here
+        steps = self.ddim_num_steps
+        t_enc = self.t_enc
+        
+        # sigmas is a full steps in length, but t_enc might
+        # be less. We start in the middle of the sigma array
+        # and work our way to the end after t_enc steps.
+        # index starts at t_enc and works its way to zero,
+        # so the actual formula for indexing into sigmas:
+        # sigma_index = (steps-index)
+        s_index = t_enc - index - 1
+        img =  K.sampling.__dict__[f'_{self.schedule}'](
+            self.model_wrap,
+            img,
+            self.sigmas,
+            s_index,
+            s_in = self.s_in,
+            ds   = self.ds,
+            extra_args=extra_args,
+        )
+
+        return img, None, None
+
+    # REVIEW THIS METHOD: it has never been tested. In particular,
+    # we should not be multiplying by self.sigmas[0] if we
+    # are at an intermediate step in img2img. See similar in
+    # sample() which does work.
+    def get_initial_image(self,x_T,shape,steps):
+        print(f'WARNING: ksampler.get_initial_image(): get_initial_image needs testing')
+        x = (torch.randn(shape, device=self.device) * self.sigmas[0])
+        if x_T is not None:
+            return x_T + x
+        else:
+            return x
+        
+    def prepare_to_sample(self,t_enc):
+        self.t_enc      = t_enc
+        self.model_wrap = None
+        self.ds         = None
+        self.s_in       = None
+
+    def q_sample(self,x0,ts):
+        '''
+        Overrides parent method to return the q_sample of the inner model.
+        '''
+        return self.model.inner_model.q_sample(x0,ts)
+
diff --git a/ldm/models/diffusion/plms.py b/ldm/models/diffusion/plms.py
index 33bb7201c9..870d8739ec 100644
--- a/ldm/models/diffusion/plms.py
+++ b/ldm/models/diffusion/plms.py
@@ -5,302 +5,34 @@ import numpy as np
 from tqdm import tqdm
 from functools import partial
 from ldm.dream.devices import choose_torch_device
-
-from ldm.modules.diffusionmodules.util import (
-    make_ddim_sampling_parameters,
-    make_ddim_timesteps,
-    noise_like,
-)
+from ldm.models.diffusion.sampler import Sampler
+from ldm.modules.diffusionmodules.util import  noise_like
 
 
-class PLMSSampler(object):
+class PLMSSampler(Sampler):
     def __init__(self, model, schedule='linear', device=None, **kwargs):
-        super().__init__()
-        self.model = model
-        self.ddpm_num_timesteps = model.num_timesteps
-        self.schedule = schedule
-        self.device   = device if device else choose_torch_device()
-
-    def register_buffer(self, name, attr):
-        if type(attr) == torch.Tensor:
-            if attr.device != torch.device(self.device):
-                attr = attr.to(torch.float32).to(torch.device(self.device))
-        setattr(self, name, attr)
-
-    def make_schedule(
-        self,
-        ddim_num_steps,
-        ddim_discretize='uniform',
-        ddim_eta=0.0,
-        verbose=True,
-    ):
-        if ddim_eta != 0:
-            raise ValueError('ddim_eta must be 0 for PLMS')
-        self.ddim_timesteps = make_ddim_timesteps(
-            ddim_discr_method=ddim_discretize,
-            num_ddim_timesteps=ddim_num_steps,
-            num_ddpm_timesteps=self.ddpm_num_timesteps,
-            verbose=verbose,
-        )
-        alphas_cumprod = self.model.alphas_cumprod
-        assert (
-            alphas_cumprod.shape[0] == self.ddpm_num_timesteps
-        ), 'alphas have to be defined for each timestep'
-        to_torch = (
-            lambda x: x.clone()
-            .detach()
-            .to(torch.float32)
-            .to(self.model.device)
-        )
-
-        self.register_buffer('betas', to_torch(self.model.betas))
-        self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod))
-        self.register_buffer(
-            'alphas_cumprod_prev', to_torch(self.model.alphas_cumprod_prev)
-        )
-
-        # calculations for diffusion q(x_t | x_{t-1}) and others
-        self.register_buffer(
-            'sqrt_alphas_cumprod', to_torch(np.sqrt(alphas_cumprod.cpu()))
-        )
-        self.register_buffer(
-            'sqrt_one_minus_alphas_cumprod',
-            to_torch(np.sqrt(1.0 - alphas_cumprod.cpu())),
-        )
-        self.register_buffer(
-            'log_one_minus_alphas_cumprod',
-            to_torch(np.log(1.0 - alphas_cumprod.cpu())),
-        )
-        self.register_buffer(
-            'sqrt_recip_alphas_cumprod',
-            to_torch(np.sqrt(1.0 / alphas_cumprod.cpu())),
-        )
-        self.register_buffer(
-            'sqrt_recipm1_alphas_cumprod',
-            to_torch(np.sqrt(1.0 / alphas_cumprod.cpu() - 1)),
-        )
-
-        # ddim sampling parameters
-        (
-            ddim_sigmas,
-            ddim_alphas,
-            ddim_alphas_prev,
-        ) = make_ddim_sampling_parameters(
-            alphacums=alphas_cumprod.cpu(),
-            ddim_timesteps=self.ddim_timesteps,
-            eta=ddim_eta,
-            verbose=verbose,
-        )
-        self.register_buffer('ddim_sigmas', ddim_sigmas)
-        self.register_buffer('ddim_alphas', ddim_alphas)
-        self.register_buffer('ddim_alphas_prev', ddim_alphas_prev)
-        self.register_buffer(
-            'ddim_sqrt_one_minus_alphas', np.sqrt(1.0 - ddim_alphas)
-        )
-        sigmas_for_original_sampling_steps = ddim_eta * torch.sqrt(
-            (1 - self.alphas_cumprod_prev)
-            / (1 - self.alphas_cumprod)
-            * (1 - self.alphas_cumprod / self.alphas_cumprod_prev)
-        )
-        self.register_buffer(
-            'ddim_sigmas_for_original_num_steps',
-            sigmas_for_original_sampling_steps,
-        )
+        super().__init__(model,schedule,model.num_timesteps, device)
 
+    # this is the essential routine
     @torch.no_grad()
-    def sample(
-        self,
-        S,
-        batch_size,
-        shape,
-        conditioning=None,
-        callback=None,
-        normals_sequence=None,
-        img_callback=None,
-        quantize_x0=False,
-        eta=0.0,
-        mask=None,
-        x0=None,
-        temperature=1.0,
-        noise_dropout=0.0,
-        score_corrector=None,
-        corrector_kwargs=None,
-        verbose=True,
-        x_T=None,
-        log_every_t=100,
-        unconditional_guidance_scale=1.0,
-        unconditional_conditioning=None,
-        # this has to come in the same format as the conditioning, # e.g. as encoded tokens, ...
-        **kwargs,
-    ):
-        if conditioning is not None:
-            if isinstance(conditioning, dict):
-                cbs = conditioning[list(conditioning.keys())[0]].shape[0]
-                if cbs != batch_size:
-                    print(
-                        f'Warning: Got {cbs} conditionings but batch-size is {batch_size}'
-                    )
-            else:
-                if conditioning.shape[0] != batch_size:
-                    print(
-                        f'Warning: Got {conditioning.shape[0]} conditionings but batch-size is {batch_size}'
-                    )
-
-        self.make_schedule(ddim_num_steps=S, ddim_eta=eta, verbose=verbose)
-        # sampling
-        C, H, W = shape
-        size = (batch_size, C, H, W)
-        #        print(f'Data shape for PLMS sampling is {size}')
-
-        samples, intermediates = self.plms_sampling(
-            conditioning,
-            size,
-            callback=callback,
-            img_callback=img_callback,
-            quantize_denoised=quantize_x0,
-            mask=mask,
-            x0=x0,
-            ddim_use_original_steps=False,
-            noise_dropout=noise_dropout,
-            temperature=temperature,
-            score_corrector=score_corrector,
-            corrector_kwargs=corrector_kwargs,
-            x_T=x_T,
-            log_every_t=log_every_t,
-            unconditional_guidance_scale=unconditional_guidance_scale,
-            unconditional_conditioning=unconditional_conditioning,
-        )
-        return samples, intermediates
-
-    @torch.no_grad()
-    def plms_sampling(
-        self,
-        cond,
-        shape,
-        x_T=None,
-        ddim_use_original_steps=False,
-        callback=None,
-        timesteps=None,
-        quantize_denoised=False,
-        mask=None,
-        x0=None,
-        img_callback=None,
-        log_every_t=100,
-        temperature=1.0,
-        noise_dropout=0.0,
-        score_corrector=None,
-        corrector_kwargs=None,
-        unconditional_guidance_scale=1.0,
-        unconditional_conditioning=None,
-    ):
-        device = self.model.betas.device
-        b = shape[0]
-        if x_T is None:
-            img = torch.randn(shape, device=device)
-        else:
-            img = x_T
-
-        if timesteps is None:
-            timesteps = (
-                self.ddpm_num_timesteps
-                if ddim_use_original_steps
-                else self.ddim_timesteps
-            )
-        elif timesteps is not None and not ddim_use_original_steps:
-            subset_end = (
-                int(
-                    min(timesteps / self.ddim_timesteps.shape[0], 1)
-                    * self.ddim_timesteps.shape[0]
-                )
-                - 1
-            )
-            timesteps = self.ddim_timesteps[:subset_end]
-
-        intermediates = {'x_inter': [img], 'pred_x0': [img]}
-        time_range = (
-            list(reversed(range(0, timesteps)))
-            if ddim_use_original_steps
-            else np.flip(timesteps)
-        )
-        total_steps = (
-            timesteps if ddim_use_original_steps else timesteps.shape[0]
-        )
-        #        print(f"Running PLMS Sampling with {total_steps} timesteps")
-
-        iterator = tqdm(
-            time_range,
-            desc='PLMS Sampler',
-            total=total_steps,
-            dynamic_ncols=True,
-        )
-        old_eps = []
-
-        for i, step in enumerate(iterator):
-            index = total_steps - i - 1
-            ts = torch.full((b,), step, device=device, dtype=torch.long)
-            ts_next = torch.full(
-                (b,),
-                time_range[min(i + 1, len(time_range) - 1)],
-                device=device,
-                dtype=torch.long,
-            )
-
-            if mask is not None:
-                assert x0 is not None
-                img_orig = self.model.q_sample(
-                    x0, ts
-                )  # TODO: deterministic forward pass?
-                img = img_orig * mask + (1.0 - mask) * img
-
-            outs = self.p_sample_plms(
-                img,
-                cond,
-                ts,
-                index=index,
-                use_original_steps=ddim_use_original_steps,
-                quantize_denoised=quantize_denoised,
-                temperature=temperature,
-                noise_dropout=noise_dropout,
-                score_corrector=score_corrector,
-                corrector_kwargs=corrector_kwargs,
-                unconditional_guidance_scale=unconditional_guidance_scale,
-                unconditional_conditioning=unconditional_conditioning,
-                old_eps=old_eps,
-                t_next=ts_next,
-            )
-            img, pred_x0, e_t = outs
-            old_eps.append(e_t)
-            if len(old_eps) >= 4:
-                old_eps.pop(0)
-            if callback:
-                callback(i)
-            if img_callback:
-                img_callback(pred_x0, i)
-
-            if index % log_every_t == 0 or index == total_steps - 1:
-                intermediates['x_inter'].append(img)
-                intermediates['pred_x0'].append(pred_x0)
-
-        return img, intermediates
-
-    @torch.no_grad()
-    def p_sample_plms(
-        self,
-        x,
-        c,
-        t,
-        index,
-        repeat_noise=False,
-        use_original_steps=False,
-        quantize_denoised=False,
-        temperature=1.0,
-        noise_dropout=0.0,
-        score_corrector=None,
-        corrector_kwargs=None,
-        unconditional_guidance_scale=1.0,
-        unconditional_conditioning=None,
-        old_eps=None,
-        t_next=None,
+    def p_sample(
+            self,
+            x,    # image, called 'img' elsewhere
+            c,    # conditioning, called 'cond' elsewhere
+            t,    # timesteps, called 'ts' elsewhere
+            index,
+            repeat_noise=False,
+            use_original_steps=False,
+            quantize_denoised=False,
+            temperature=1.0,
+            noise_dropout=0.0,
+            score_corrector=None,
+            corrector_kwargs=None,
+            unconditional_guidance_scale=1.0,
+            unconditional_conditioning=None,
+            old_eps=[],
+            t_next=None,
+            **kwargs,
     ):
         b, *_, device = *x.shape, x.device
 
diff --git a/ldm/models/diffusion/sampler.py b/ldm/models/diffusion/sampler.py
new file mode 100644
index 0000000000..3056cbb6b8
--- /dev/null
+++ b/ldm/models/diffusion/sampler.py
@@ -0,0 +1,404 @@
+'''
+ldm.models.diffusion.sampler
+
+Base class for ldm.models.diffusion.ddim, ldm.models.diffusion.ksampler, etc
+
+'''
+import torch
+import numpy as np
+from tqdm import tqdm
+from functools import partial
+from ldm.dream.devices import choose_torch_device
+
+from ldm.modules.diffusionmodules.util import (
+    make_ddim_sampling_parameters,
+    make_ddim_timesteps,
+    noise_like,
+    extract_into_tensor,
+)
+
+class Sampler(object):
+    def __init__(self, model, schedule='linear', steps=None, device=None, **kwargs):
+        self.model = model
+        self.ddpm_num_timesteps = steps
+        self.schedule = schedule
+        self.device   = device or choose_torch_device()
+
+    def register_buffer(self, name, attr):
+        if type(attr) == torch.Tensor:
+            if attr.device != torch.device(self.device):
+                attr = attr.to(torch.float32).to(torch.device(self.device))
+        setattr(self, name, attr)
+
+    # This method was copied over from ddim.py and probably does stuff that is
+    # ddim-specific. Disentangle at some point.
+    def make_schedule(
+            self,
+            ddim_num_steps,
+            ddim_discretize='uniform',
+            ddim_eta=0.0,
+            verbose=False,
+    ):
+        self.total_steps = ddim_num_steps
+        self.ddim_timesteps = make_ddim_timesteps(
+            ddim_discr_method=ddim_discretize,
+            num_ddim_timesteps=ddim_num_steps,
+            num_ddpm_timesteps=self.ddpm_num_timesteps,
+            verbose=verbose,
+        )
+        alphas_cumprod = self.model.alphas_cumprod
+        assert (
+            alphas_cumprod.shape[0] == self.ddpm_num_timesteps
+        ), 'alphas have to be defined for each timestep'
+        to_torch = (
+            lambda x: x.clone()
+            .detach()
+            .to(torch.float32)
+            .to(self.model.device)
+        )
+
+        self.register_buffer('betas', to_torch(self.model.betas))
+        self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod))
+        self.register_buffer(
+            'alphas_cumprod_prev', to_torch(self.model.alphas_cumprod_prev)
+        )
+
+        # calculations for diffusion q(x_t | x_{t-1}) and others
+        self.register_buffer(
+            'sqrt_alphas_cumprod', to_torch(np.sqrt(alphas_cumprod.cpu()))
+        )
+        self.register_buffer(
+            'sqrt_one_minus_alphas_cumprod',
+            to_torch(np.sqrt(1.0 - alphas_cumprod.cpu())),
+        )
+        self.register_buffer(
+            'log_one_minus_alphas_cumprod',
+            to_torch(np.log(1.0 - alphas_cumprod.cpu())),
+        )
+        self.register_buffer(
+            'sqrt_recip_alphas_cumprod',
+            to_torch(np.sqrt(1.0 / alphas_cumprod.cpu())),
+        )
+        self.register_buffer(
+            'sqrt_recipm1_alphas_cumprod',
+            to_torch(np.sqrt(1.0 / alphas_cumprod.cpu() - 1)),
+        )
+
+        # ddim sampling parameters
+        (
+            ddim_sigmas,
+            ddim_alphas,
+            ddim_alphas_prev,
+        ) = make_ddim_sampling_parameters(
+            alphacums=alphas_cumprod.cpu(),
+            ddim_timesteps=self.ddim_timesteps,
+            eta=ddim_eta,
+            verbose=verbose,
+        )
+        self.register_buffer('ddim_sigmas', ddim_sigmas)
+        self.register_buffer('ddim_alphas', ddim_alphas)
+        self.register_buffer('ddim_alphas_prev', ddim_alphas_prev)
+        self.register_buffer(
+            'ddim_sqrt_one_minus_alphas', np.sqrt(1.0 - ddim_alphas)
+        )
+        sigmas_for_original_sampling_steps = ddim_eta * torch.sqrt(
+            (1 - self.alphas_cumprod_prev)
+            / (1 - self.alphas_cumprod)
+            * (1 - self.alphas_cumprod / self.alphas_cumprod_prev)
+        )
+        self.register_buffer(
+            'ddim_sigmas_for_original_num_steps',
+            sigmas_for_original_sampling_steps,
+        )
+        
+    @torch.no_grad()
+    def stochastic_encode(self, x0, t, use_original_steps=False, noise=None):
+        # fast, but does not allow for exact reconstruction
+        # t serves as an index to gather the correct alphas
+        if use_original_steps:
+            sqrt_alphas_cumprod = self.sqrt_alphas_cumprod
+            sqrt_one_minus_alphas_cumprod = self.sqrt_one_minus_alphas_cumprod
+        else:
+            sqrt_alphas_cumprod = torch.sqrt(self.ddim_alphas)
+            sqrt_one_minus_alphas_cumprod = self.ddim_sqrt_one_minus_alphas
+
+        if noise is None:
+            noise = torch.randn_like(x0)
+        return (
+            extract_into_tensor(sqrt_alphas_cumprod, t, x0.shape) * x0
+            + extract_into_tensor(sqrt_one_minus_alphas_cumprod, t, x0.shape)
+            * noise
+        )
+
+    @torch.no_grad()
+    def sample(
+        self,
+        S,          # S is steps
+        batch_size,
+        shape,
+        conditioning=None,
+        callback=None,
+        normals_sequence=None,
+        img_callback=None,
+        quantize_x0=False,
+        eta=0.0,
+        mask=None,
+        x0=None,
+        temperature=1.0,
+        noise_dropout=0.0,
+        score_corrector=None,
+        corrector_kwargs=None,
+        verbose=False,
+        x_T=None,
+        log_every_t=100,
+        unconditional_guidance_scale=1.0,
+        unconditional_conditioning=None,
+        # this has to come in the same format as the conditioning, # e.g. as encoded tokens, ...
+        **kwargs,
+    ):
+
+        ts = self.get_timesteps(S)
+
+        # sampling
+        C, H, W = shape
+        shape = (batch_size, C, H, W)
+        samples, intermediates = self.do_sampling(
+            conditioning,
+            shape,
+            timesteps=ts,
+            callback=callback,
+            img_callback=img_callback,
+            quantize_denoised=quantize_x0,
+            mask=mask,
+            x0=x0,
+            ddim_use_original_steps=False,
+            noise_dropout=noise_dropout,
+            temperature=temperature,
+            score_corrector=score_corrector,
+            corrector_kwargs=corrector_kwargs,
+            x_T=x_T,
+            log_every_t=log_every_t,
+            unconditional_guidance_scale=unconditional_guidance_scale,
+            unconditional_conditioning=unconditional_conditioning,
+            steps=S,
+        )
+        return samples, intermediates
+
+    #torch.no_grad()
+    def do_sampling(
+            self,
+            cond,
+            shape,
+            timesteps=None,
+            x_T=None,
+            ddim_use_original_steps=False,
+            callback=None,
+            quantize_denoised=False,
+            mask=None,
+            x0=None,
+            img_callback=None,
+            log_every_t=100,
+            temperature=1.0,
+            noise_dropout=0.0,
+            score_corrector=None,
+            corrector_kwargs=None,
+            unconditional_guidance_scale=1.0,
+            unconditional_conditioning=None,
+            steps=None,
+    ):
+        b = shape[0]
+        time_range = (
+            list(reversed(range(0, timesteps)))
+            if ddim_use_original_steps
+            else np.flip(timesteps)
+        )
+
+        total_steps=steps
+
+        iterator = tqdm(
+            time_range,
+            desc=f'{self.__class__.__name__}',
+            total=total_steps,
+            dynamic_ncols=True,
+        )
+        old_eps = []
+        self.prepare_to_sample(t_enc=total_steps)
+        img = self.get_initial_image(x_T,shape,total_steps)
+
+        # probably don't need this at all
+        intermediates = {'x_inter': [img], 'pred_x0': [img]}
+
+        for i, step in enumerate(iterator):
+            index = total_steps - i - 1
+            ts = torch.full(
+                (b,),
+                step,
+                device=self.device,
+                dtype=torch.long
+            )
+            ts_next = torch.full(
+                (b,),
+                time_range[min(i + 1, len(time_range) - 1)],
+                device=self.device,
+                dtype=torch.long,
+            )
+
+            if mask is not None:
+                assert x0 is not None
+                img_orig = self.model.q_sample(
+                    x0, ts
+                )  # TODO: deterministic forward pass?
+                img = img_orig * mask + (1.0 - mask) * img
+
+            outs = self.p_sample(
+                img,
+                cond,
+                ts,
+                index=index,
+                use_original_steps=ddim_use_original_steps,
+                quantize_denoised=quantize_denoised,
+                temperature=temperature,
+                noise_dropout=noise_dropout,
+                score_corrector=score_corrector,
+                corrector_kwargs=corrector_kwargs,
+                unconditional_guidance_scale=unconditional_guidance_scale,
+                unconditional_conditioning=unconditional_conditioning,
+                old_eps=old_eps,
+                t_next=ts_next,
+            )
+            img, pred_x0, e_t = outs
+
+            old_eps.append(e_t)
+            if len(old_eps) >= 4:
+                old_eps.pop(0)
+            if callback:
+                callback(i)
+            if img_callback:
+                img_callback(img,i)
+
+            if index % log_every_t == 0 or index == total_steps - 1:
+                intermediates['x_inter'].append(img)
+                intermediates['pred_x0'].append(pred_x0)
+
+        return img, intermediates
+
+    # NOTE that decode() and sample() are almost the same code, and do the same thing.
+    # The variable names are changed in order to be confusing.
+    @torch.no_grad()
+    def decode(
+            self,
+            x_latent,
+            cond,
+            t_start,
+            img_callback=None,
+            unconditional_guidance_scale=1.0,
+            unconditional_conditioning=None,
+            use_original_steps=False,
+            init_latent       = None,
+            mask              = None,
+    ):
+
+        timesteps = (
+            np.arange(self.ddpm_num_timesteps)
+            if use_original_steps
+            else self.ddim_timesteps
+        )
+        timesteps = timesteps[:t_start]
+
+        time_range = np.flip(timesteps)
+        total_steps = timesteps.shape[0]
+        print(f'>> Running {self.__class__.__name__} sampling starting at step {self.total_steps - t_start} of {self.total_steps} ({total_steps} new sampling steps)')
+
+        iterator = tqdm(time_range, desc='Decoding image', total=total_steps)
+        x_dec    = x_latent
+        x0       = init_latent
+        self.prepare_to_sample(t_enc=total_steps)
+        
+        for i, step in enumerate(iterator):
+            index = total_steps - i - 1
+            ts = torch.full(
+                (x_latent.shape[0],),
+                step,
+                device=x_latent.device,
+                dtype=torch.long,
+            )
+
+            ts_next = torch.full(
+                (x_latent.shape[0],),
+                time_range[min(i + 1, len(time_range) - 1)],
+                device=self.device,
+                dtype=torch.long,
+            )
+
+            if mask is not None:
+                assert x0 is not None
+                xdec_orig = self.q_sample(x0, ts)  # TODO: deterministic forward pass?
+                x_dec = xdec_orig * mask + (1.0 - mask) * x_dec
+
+            outs = self.p_sample(
+                x_dec,
+                cond,
+                ts,
+                index=index,
+                use_original_steps=use_original_steps,
+                unconditional_guidance_scale=unconditional_guidance_scale,
+                unconditional_conditioning=unconditional_conditioning,
+                t_next = ts_next,
+            )
+            
+            x_dec, pred_x0, e_t = outs
+            if img_callback:
+                img_callback(x_dec,i)
+
+        return x_dec
+
+    def get_initial_image(self,x_T,shape,timesteps=None):
+        if x_T is None:
+            return torch.randn(shape, device=self.device)
+        else:
+            return x_T
+    
+    def p_sample(
+            self,
+            img,
+            cond,
+            ts,
+            index,
+            repeat_noise=False,
+            use_original_steps=False,
+            quantize_denoised=False,
+            temperature=1.0,
+            noise_dropout=0.0,
+            score_corrector=None,
+            corrector_kwargs=None,
+            unconditional_guidance_scale=1.0,
+            unconditional_conditioning=None,
+            old_eps=None,
+            t_next=None,
+            steps=None,
+    ):
+        raise NotImplementedError("p_sample() must be implemented in a descendent class")
+
+    def prepare_to_sample(self,t_enc,**kwargs):
+        '''
+        Hook that will be called right before the very first invocation of p_sample()
+        to allow subclass to do additional initialization. t_enc corresponds to the actual
+        number of steps that will be run, and may be less than total steps if img2img is
+        active.
+        '''
+        pass
+
+    def get_timesteps(self,ddim_steps):
+        '''
+        The ddim and plms samplers work on timesteps. This method is called after
+        ddim_timesteps are created in make_schedule(), and selects the portion of
+        timesteps that will be used for sampling, depending on the t_enc in img2img.
+        '''
+        return self.ddim_timesteps[:ddim_steps]
+    
+    def q_sample(self,x0,ts):
+        '''
+        Returns self.model.q_sample(x0,ts). Is overridden in the k* samplers to 
+        return self.model.inner_model.q_sample(x0,ts)
+        '''
+        return self.model.q_sample(x0,ts)
diff --git a/ldm/modules/embedding_manager.py b/ldm/modules/embedding_manager.py
index 09e6f495ab..18688708f9 100644
--- a/ldm/modules/embedding_manager.py
+++ b/ldm/modules/embedding_manager.py
@@ -169,9 +169,14 @@ class EmbeddingManager(nn.Module):
                     placeholder_embedding.shape[0], max_step_tokens
                 )
 
-                placeholder_rows, placeholder_cols = torch.where(
-                    tokenized_text == placeholder_token.to(device)
-                )
+                if torch.cuda.is_available():
+                    placeholder_rows, placeholder_cols = torch.where(
+                        tokenized_text == placeholder_token.to(device)
+                    )
+                else:
+                    placeholder_rows, placeholder_cols = torch.where(
+                        tokenized_text == placeholder_token
+                    )
 
                 if placeholder_rows.nelement() == 0:
                     continue
diff --git a/ldm/util.py b/ldm/util.py
index d1379cae2b..298c3141d6 100644
--- a/ldm/util.py
+++ b/ldm/util.py
@@ -2,6 +2,7 @@ import importlib
 
 import torch
 import numpy as np
+import math
 from collections import abc
 from einops import rearrange
 from functools import partial
@@ -212,3 +213,25 @@ def parallel_data_prefetch(
         return out
     else:
         return gather_res
+
+def rand_perlin_2d(shape, res, device, fade = lambda t: 6*t**5 - 15*t**4 + 10*t**3):
+    delta = (res[0] / shape[0], res[1] / shape[1])
+    d = (shape[0] // res[0], shape[1] // res[1])
+
+    grid = torch.stack(torch.meshgrid(torch.arange(0, res[0], delta[0]), torch.arange(0, res[1], delta[1]), indexing='ij'), dim = -1).to(device) % 1
+
+    rand_val = torch.rand(res[0]+1, res[1]+1)
+    
+    angles = 2*math.pi*rand_val
+    gradients = torch.stack((torch.cos(angles), torch.sin(angles)), dim = -1)
+
+    tile_grads = lambda slice1, slice2: gradients[slice1[0]:slice1[1], slice2[0]:slice2[1]].repeat_interleave(d[0], 0).repeat_interleave(d[1], 1)
+
+    dot = lambda grad, shift: (torch.stack((grid[:shape[0],:shape[1],0] + shift[0], grid[:shape[0],:shape[1], 1] + shift[1]  ), dim = -1) * grad[:shape[0], :shape[1]]).sum(dim = -1)
+
+    n00 = dot(tile_grads([0, -1], [0, -1]), [0,  0])
+    n10 = dot(tile_grads([1, None], [0, -1]), [-1, 0])
+    n01 = dot(tile_grads([0, -1],[1, None]), [0, -1])
+    n11 = dot(tile_grads([1, None], [1, None]), [-1,-1])
+    t = fade(grid[:shape[0], :shape[1]])
+    return math.sqrt(2) * torch.lerp(torch.lerp(n00, n10, t[..., 0]), torch.lerp(n01, n11, t[..., 0]), t[..., 1])
diff --git a/main.py b/main.py
index 72aaa49c3b..436b7251ba 100644
--- a/main.py
+++ b/main.py
@@ -25,6 +25,23 @@ from pytorch_lightning.utilities import rank_zero_info
 from ldm.data.base import Txt2ImgIterableBaseDataset
 from ldm.util import instantiate_from_config
 
+def fix_func(orig):
+    if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
+        def new_func(*args, **kw):
+            device = kw.get("device", "mps")
+            kw["device"]="cpu"
+            return orig(*args, **kw).to(device)
+        return new_func
+    return orig
+
+torch.rand = fix_func(torch.rand)
+torch.rand_like = fix_func(torch.rand_like)
+torch.randn = fix_func(torch.randn)
+torch.randn_like = fix_func(torch.randn_like)
+torch.randint = fix_func(torch.randint)
+torch.randint_like = fix_func(torch.randint_like)
+torch.bernoulli = fix_func(torch.bernoulli)
+torch.multinomial = fix_func(torch.multinomial)
 
 def load_model_from_config(config, ckpt, verbose=False):
     print(f'Loading model from {ckpt}')
@@ -422,9 +439,7 @@ class ImageLogger(Callback):
         self.rescale = rescale
         self.batch_freq = batch_frequency
         self.max_images = max_images
-        self.logger_log_images = {
-            pl.loggers.TestTubeLogger: self._testtube,
-        }
+        self.logger_log_images = { pl.loggers.TestTubeLogger: self._testtube, } if torch.cuda.is_available() else { }
         self.log_steps = [
             2**n for n in range(int(np.log2(self.batch_freq)) + 1)
         ]
@@ -527,7 +542,7 @@ class ImageLogger(Callback):
         return False
 
     def on_train_batch_end(
-        self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx
+        self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx=None
     ):
         if not self.disabled and (
             pl_module.global_step > 0 or self.log_first_step
@@ -535,7 +550,7 @@ class ImageLogger(Callback):
             self.log_img(pl_module, batch, batch_idx, split='train')
 
     def on_validation_batch_end(
-        self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx
+        self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx=None
     ):
         if not self.disabled and pl_module.global_step > 0:
             self.log_img(pl_module, batch, batch_idx, split='val')
@@ -555,7 +570,7 @@ class CUDACallback(Callback):
             torch.cuda.synchronize(trainer.root_gpu)
         self.start_time = time.time()
 
-    def on_train_epoch_end(self, trainer, pl_module, outputs):
+    def on_train_epoch_end(self, trainer, pl_module, outputs=None):
         if torch.cuda.is_available():
             torch.cuda.synchronize(trainer.root_gpu)
         epoch_time = time.time() - self.start_time
@@ -736,6 +751,12 @@ if __name__ == '__main__':
         trainer_kwargs = dict()
 
         # default logger configs
+        if torch.cuda.is_available():
+            def_logger = 'testtube'
+            def_logger_target = 'TestTubeLogger'
+        else:
+            def_logger = 'csv'
+            def_logger_target = 'CSVLogger'
         default_logger_cfgs = {
             'wandb': {
                 'target': 'pytorch_lightning.loggers.WandbLogger',
@@ -746,15 +767,15 @@ if __name__ == '__main__':
                     'id': nowname,
                 },
             },
-            'testtube': {
-                'target': 'pytorch_lightning.loggers.TestTubeLogger',
+            def_logger: {
+                'target': 'pytorch_lightning.loggers.' + def_logger_target,
                 'params': {
-                    'name': 'testtube',
+                    'name': def_logger,
                     'save_dir': logdir,
                 },
             },
         }
-        default_logger_cfg = default_logger_cfgs['testtube']
+        default_logger_cfg = default_logger_cfgs[def_logger]
         if 'logger' in lightning_config:
             logger_cfg = lightning_config.logger
         else:
@@ -868,6 +889,10 @@ if __name__ == '__main__':
         ]
         trainer_kwargs['max_steps'] = trainer_opt.max_steps
 
+        if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
+            trainer_opt.accelerator = 'mps'
+            trainer_opt.detect_anomaly = False
+        
         trainer = Trainer.from_argparse_args(trainer_opt, **trainer_kwargs)
         trainer.logdir = logdir  ###
 
diff --git a/requirements.txt b/requirements.txt
index 7323ad66bb..0260cf32c7 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -16,6 +16,7 @@ pudb
 pytorch-lightning
 scikit-image>=0.19
 streamlit
+pyreadline3
 # "CompVis/taming-transformers" IS NOT INSTALLABLE
 # This is a drop-in replacement
 taming-transformers-rom1504
@@ -26,6 +27,8 @@ transformers==4.21.*
 flask==2.1.3
 flask_socketio==5.3.0
 flask_cors==3.0.10
+flaskwebgui==0.3.7
+send2trash
 dependency_injector==4.40.0
 eventlet
 git+https://github.com/openai/CLIP.git@main#egg=clip
diff --git a/scripts/dream.py b/scripts/dream.py
index 57435ccb26..aaf0e6f300 100644
--- a/scripts/dream.py
+++ b/scripts/dream.py
@@ -8,10 +8,11 @@ import shlex
 import copy
 import warnings
 import time
+import traceback
 sys.path.append('.')    # corrects a weird problem on Macs
 from ldm.dream.readline import get_completer
 from ldm.dream.args import Args, metadata_dumps, metadata_from_png, dream_cmd_from_png
-from ldm.dream.pngwriter import PngWriter
+from ldm.dream.pngwriter import PngWriter, retrieve_metadata, write_metadata
 from ldm.dream.image_util import make_grid
 from ldm.dream.log import write_log
 from omegaconf import OmegaConf
@@ -58,7 +59,6 @@ def main():
         else:
             print('>> Face restoration and upscaling disabled')
     except (ModuleNotFoundError, ImportError):
-        import traceback
         print(traceback.format_exc(), file=sys.stderr)
         print('>> You may need to install the ESRGAN and/or GFPGAN modules')
 
@@ -109,7 +109,7 @@ def main():
     gen.free_gpu_mem = opt.free_gpu_mem
 
     # web server loops forever
-    if opt.web:
+    if opt.web or opt.gui:
         invoke_ai_web_server_loop(gen, gfpgan, codeformer, esrgan)
         sys.exit(0)
 
@@ -192,6 +192,15 @@ def main_loop(gen, opt, infile):
                 completer.show_history()
                 continue
 
+            elif subcommand.startswith('search'):
+                search_str = command.replace('!search ','',1)
+                completer.show_history(search_str)
+                continue
+
+            elif subcommand.startswith('clear'):
+                completer.clear_history()
+                continue
+
             elif re.match('^(\d+)',subcommand):
                 command_no = re.match('^(\d+)',subcommand).groups()[0]
                 command    = completer.get_line(int(command_no))
@@ -210,9 +219,7 @@ def main_loop(gen, opt, infile):
                     oldargs    = metadata_from_png(opt.init_img)
                     opt.prompt = oldargs.prompt
                     print(f'>> Retrieved old prompt "{opt.prompt}" from {opt.init_img}')
-            except AttributeError:
-                pass
-            except KeyError:
+            except (OSError, AttributeError, KeyError):
                 pass
 
         if len(opt.prompt) == 0:
@@ -243,7 +250,7 @@ def main_loop(gen, opt, infile):
                 path     = os.path.join(opt.outdir,basename)
                 setattr(opt,attr,path)
 
-        # retrieve previous valueof seed if requested
+        # retrieve previous value of seed if requested
         if opt.seed is not None and opt.seed < 0:   
             try:
                 opt.seed = last_results[opt.seed][1]
@@ -310,20 +317,32 @@ def main_loop(gen, opt, infile):
                         postprocessed,
                         first_seed
                     )
-
                     path = file_writer.save_image_and_prompt_to_png(
                         image           = image,
                         dream_prompt    = formatted_dream_prompt,
                         metadata        = metadata_dumps(
                             opt,
-                            seeds      = [seed],
+                            seeds      = [seed if opt.variation_amount==0 and len(prior_variations)==0 else first_seed],
                             model_hash = gen.model_hash,
                         ),
                         name      = filename,
                     )
-                    if (not upscaled) or opt.save_original:
+
+                    # update rfc metadata
+                    if operation == 'postprocess':
+                        tool = re.match('postprocess:(\w+)',opt.last_operation).groups()[0]
+                        add_postprocessing_to_metadata(
+                            opt,
+                            opt.prompt,
+                            filename,
+                            tool,
+                            formatted_dream_prompt,
+                        )                           
+                        
+                    if (not postprocessed) or opt.save_original:
                         # only append to results if we didn't overwrite an earlier output
                         results.append([path, formatted_dream_prompt])
+
                 # so that the seed autocompletes (on linux|mac when -S or --seed specified
                 if completer:
                     completer.add_seed(seed)
@@ -385,9 +404,6 @@ def do_postprocess (gen, opt, callback):
     file_path = opt.prompt     # treat the prompt as the file pathname
     if os.path.dirname(file_path) == '': #basename given
         file_path = os.path.join(opt.outdir,file_path)
-    if not os.path.exists(file_path):
-        print(f'* file {file_path} does not exist')
-        return
 
     tool=None
     if opt.gfpgan_strength > 0:
@@ -398,20 +414,45 @@ def do_postprocess (gen, opt, callback):
         tool = 'upscale'
     elif opt.out_direction:
         tool = 'outpaint'
-    opt.save_original = True # do not overwrite old image!
-    opt.last_operation    = f'postprocess:{tool}'
-    gen.apply_postprocessor(
-        image_path      = file_path,
-        tool            = tool,
-        gfpgan_strength = opt.gfpgan_strength,
-        codeformer_fidelity = opt.codeformer_fidelity,
-        save_original       = opt.save_original,
-        upscale             = opt.upscale,
-        out_direction       = opt.out_direction,
-        callback            = callback,
-        opt                 = opt,
+    elif opt.outcrop:
+        tool = 'outcrop'
+    opt.save_original  = True # do not overwrite old image!
+    opt.last_operation = f'postprocess:{tool}'
+    try:
+        gen.apply_postprocessor(
+            image_path      = file_path,
+            tool            = tool,
+            gfpgan_strength = opt.gfpgan_strength,
+            codeformer_fidelity = opt.codeformer_fidelity,
+            save_original       = opt.save_original,
+            upscale             = opt.upscale,
+            out_direction       = opt.out_direction,
+            outcrop             = opt.outcrop,
+            callback            = callback,
+            opt                 = opt,
         )
+    except OSError:
+        print(f'** {file_path}: file could not be read')
+        return
+    except (KeyError, AttributeError):
+        print(traceback.format_exc(), file=sys.stderr)
+        return
     return opt.last_operation
+
+def add_postprocessing_to_metadata(opt,original_file,new_file,tool,command):
+    original_file = original_file if os.path.exists(original_file) else os.path.join(opt.outdir,original_file)
+    new_file       = new_file     if os.path.exists(new_file)      else os.path.join(opt.outdir,new_file)
+    meta = retrieve_metadata(original_file)['sd-metadata']
+    img_data = meta['image']
+    pp = img_data.get('postprocessing',[]) or []
+    pp.append(
+        {
+            'tool':tool,
+            'dream_command':command,
+        }
+    )
+    meta['image']['postprocessing'] = pp
+    write_metadata(new_file,meta)
     
 def prepare_image_metadata(
         opt,
@@ -426,8 +467,8 @@ def prepare_image_metadata(
     if postprocessed and opt.save_original:
         filename = choose_postprocess_name(opt,prefix,seed)
     else:
-        filename = f'{prefix}.{seed}.png'        
-        
+        filename = f'{prefix}.{seed}.png'
+
     if opt.variation_amount > 0:
         first_seed             = first_seed or seed
         this_variation         = [[seed, opt.variation_amount]]
diff --git a/server/models.py b/server/models.py
index fc4a5f41c4..1a574aa137 100644
--- a/server/models.py
+++ b/server/models.py
@@ -31,6 +31,8 @@ class DreamBase():
   width: int = 512
   height: int = 512
   cfg_scale: float = 7.5
+  threshold: float = 0.0
+  perlin: float = 0.0
   sampler_name: string = 'klms'
   seamless: bool = False
   model: str = None # The model to use (currently unused)
@@ -83,6 +85,8 @@ class DreamBase():
       self.width = int(j.get('width'))
       self.height = int(j.get('height'))
       self.cfg_scale = float(j.get('cfgscale') or j.get('cfg_scale'))
+      self.threshold = float(j.get('threshold'))
+      self.perlin = float(j.get('perlin'))
       self.sampler_name  = j.get('sampler') or j.get('sampler_name')
       # model: str = None # The model to use (currently unused)
       # embeddings = None # The embeddings to use (currently unused)
diff --git a/server/services.py b/server/services.py
index 444f47cccf..93bbe1d240 100644
--- a/server/services.py
+++ b/server/services.py
@@ -363,6 +363,8 @@ class GeneratorService:
           fit              = None if init_img is None else jobRequest.fit,
           iterations       = jobRequest.iterations,
           cfg_scale        = jobRequest.cfg_scale,
+          threshold        = jobRequest.threshold,
+          perlin           = jobRequest.perlin,
           width            = jobRequest.width,
           height           = jobRequest.height,
           seed             = jobRequest.seed,
diff --git a/static/dream_web/index.html b/static/dream_web/index.html
index 9dbd213669..8edad24f4e 100644
--- a/static/dream_web/index.html
+++ b/static/dream_web/index.html
@@ -100,7 +100,13 @@
         <button type="button" id="reset-seed">&olarr;</button>
         <input type="checkbox" name="progress_images" id="progress_images">
         <label for="progress_images">Display in-progress images (slower)</label>
-        <button type="button" id="reset-all">Reset to Defaults</button>
+        <div>
+          <label title="If > 0, adds thresholding to restrict values for k-diffusion samplers (0 disables)" for="threshold">Threshold:</label>
+          <input value="0" type="number" id="threshold" name="threshold" step="0.1" min="0">
+          <label title="Perlin: optional 0-1 value adds a percentage of perlin noise to the initial noise" for="perlin">Perlin:</label>
+          <input value="0" type="number" id="perlin" name="perlin"  step="0.01" min="0" max="1">
+          <button type="button" id="reset-all">Reset to Defaults</button>
+        </div>
         <div id="variations">
           <label
             title="If > 0, generates variations on the initial seed instead of random seeds per iteration. Must be between 0 and 1. Higher values will be more different."
diff --git a/static/legacy_web/index.html b/static/legacy_web/index.html
index 5ce8b45baf..890430be6c 100644
--- a/static/legacy_web/index.html
+++ b/static/legacy_web/index.html
@@ -73,8 +73,14 @@
           <button type="button" id="reset-seed">&olarr;</button>
           <input type="checkbox" name="progress_images" id="progress_images">
 	  <label for="progress_images">Display in-progress images (slower)</label>
-	  <button type="button" id="reset-all">Reset to Defaults</button>
-	  <span id="variations">
+    <div>
+      <label title="If > 0, adds thresholding to restrict values for k-diffusion samplers (0 disables)" for="threshold">Threshold:</label>
+      <input value="0" type="number" id="threshold" name="threshold" step="0.1" min="0">
+      <label title="Perlin: optional 0-1 value adds a percentage of perlin noise to the initial noise" for="perlin">Perlin:</label>
+      <input value="0" type="number" id="perlin" name="perlin"  step="0.01" min="0" max="1">
+      <button type="button" id="reset-all">Reset to Defaults</button>
+    </div>
+    <span id="variations">
             <label title="If > 0, generates variations on the initial seed instead of random seeds per iteration. Must be between 0 and 1. Higher values will be more different." for="variation_amount">Variation amount (0 to disable):</label>
             <input value="0" type="number" id="variation_amount" name="variation_amount" step="0.01" min="0" max="1">
             <label title="list of variations to apply, in the format `seed:weight,seed:weight,..." for="with_variations">With variations (seed:weight,seed:weight,...):</label>