test: fixt lint check

.github/workflows/style-checks.yml

@@ -6,7 +6,7 @@ on:
     branches: main
 
 jobs:
-  ruff:
+  black:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v3

README.md

@@ -161,7 +161,7 @@ the command `npm install -g yarn` if needed)
     _For Windows/Linux with an NVIDIA GPU:_
 
     ```terminal
-    pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu121
+    pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
     ```
 
     _For Linux with an AMD GPU:_
@@ -175,7 +175,7 @@ the command `npm install -g yarn` if needed)
     pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu
     ``` 
 
-    _For Macintoshes, either Intel or M1/M2/M3:_
+    _For Macintoshes, either Intel or M1/M2:_
 
     ```sh
     pip install InvokeAI --use-pep517

docs/installation/010_INSTALL_AUTOMATED.md

@@ -179,7 +179,7 @@ experimental versions later.
     you will have the choice of CUDA (NVidia cards), ROCm (AMD cards),
     or CPU (no graphics acceleration). On Windows, you'll have the
     choice of CUDA vs CPU, and on Macs you'll be offered CPU only. When
-    you select CPU on M1/M2/M3 Macintoshes, you will get MPS-based
+    you select CPU on M1 or M2 Macintoshes, you will get MPS-based
     graphics acceleration without installing additional drivers. If you
     are unsure what GPU you are using, you can ask the installer to
     guess.
@@ -471,7 +471,7 @@ Then type the following commands:
 
 === "NVIDIA System"
     ```bash
-    pip install torch torchvision --force-reinstall --extra-index-url https://download.pytorch.org/whl/cu121
+    pip install torch torchvision --force-reinstall --extra-index-url https://download.pytorch.org/whl/cu118
     pip install xformers
     ```
 

docs/installation/020_INSTALL_MANUAL.md

@@ -148,7 +148,7 @@ manager, please follow these steps:
     === "CUDA (NVidia)"
 
         ```bash
-        pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu121
+        pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
         ```
 
     === "ROCm (AMD)"
@@ -327,7 +327,7 @@ installation protocol (important!)
 
     === "CUDA (NVidia)"
         ```bash
-        pip install -e .[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu121
+        pip install -e .[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
         ```
 
     === "ROCm (AMD)"
@@ -375,7 +375,7 @@ you can do so using this unsupported recipe:
 mkdir ~/invokeai
 conda create -n invokeai python=3.10
 conda activate invokeai
-pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu121
+pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
 invokeai-configure --root ~/invokeai
 invokeai --root ~/invokeai --web
 ```

docs/installation/030_INSTALL_CUDA_AND_ROCM.md

@@ -85,7 +85,7 @@ You can find which version you should download from [this link](https://docs.nvi
 
 When installing torch and torchvision manually with `pip`, remember to provide
 the argument `--extra-index-url
-https://download.pytorch.org/whl/cu121` as described in the [Manual
+https://download.pytorch.org/whl/cu118` as described in the [Manual
 Installation Guide](020_INSTALL_MANUAL.md).
 
 ## :simple-amd: ROCm

docs/installation/040_INSTALL_DOCKER.md

@@ -30,7 +30,7 @@ methodology for details on why running applications in such a stateless fashion
 The container is configured for CUDA by default, but can be built to support AMD GPUs
 by setting the `GPU_DRIVER=rocm` environment variable at Docker image build time.
 
-Developers on Apple silicon (M1/M2/M3): You
+Developers on Apple silicon (M1/M2): You
 [can't access your GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224)
 and performance is reduced compared with running it directly on macOS but for
 development purposes it's fine. Once you're done with development tasks on your

docs/installation/070_INSTALL_XFORMERS.md

@@ -28,7 +28,7 @@ command line, then just be sure to activate it's virtual environment.
 Then run the following three commands:
 
 ```sh
-pip install xformers~=0.0.22
+pip install xformers~=0.0.19
 pip install triton    # WON'T WORK ON WINDOWS
 python -m xformers.info output
 ```
@@ -42,7 +42,7 @@ If all goes well, you'll see a report like the
 following:
 
 ```sh
-xFormers 0.0.22
+xFormers 0.0.20
 memory_efficient_attention.cutlassF:               available
 memory_efficient_attention.cutlassB:               available
 memory_efficient_attention.flshattF:               available
@@ -59,14 +59,14 @@ swiglu.gemm_fused_operand_sum:                     available
 swiglu.fused.p.cpp:                                available
 is_triton_available:                               True
 is_functorch_available:                            False
-pytorch.version:                                   2.1.0+cu121
+pytorch.version:                                   2.0.1+cu118
 pytorch.cuda:                                      available
 gpu.compute_capability:                            8.9
 gpu.name:                                          NVIDIA GeForce RTX 4070
 build.info:                                        available
 build.cuda_version:                                1108
 build.python_version:                              3.10.11
-build.torch_version:                               2.1.0+cu121
+build.torch_version:                               2.0.1+cu118
 build.env.TORCH_CUDA_ARCH_LIST:                    5.0+PTX 6.0 6.1 7.0 7.5 8.0 8.6
 build.env.XFORMERS_BUILD_TYPE:                     Release
 build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS:        None
@@ -92,22 +92,33 @@ installed from source. These instructions were written for a system
 running Ubuntu 22.04, but other Linux distributions should be able to
 adapt this recipe.
 
-#### 1. Install CUDA Toolkit 12.1
+#### 1. Install CUDA Toolkit 11.8
 
 You will need the CUDA developer's toolkit in order to compile and
 install xFormers. **Do not try to install Ubuntu's nvidia-cuda-toolkit
 package.** It is out of date and will cause conflicts among the NVIDIA
 driver and binaries. Instead install the CUDA Toolkit package provided
-by NVIDIA itself. Go to [CUDA Toolkit 12.1
-Downloads](https://developer.nvidia.com/cuda-12-1-0-download-archive)
+by NVIDIA itself. Go to [CUDA Toolkit 11.8
+Downloads](https://developer.nvidia.com/cuda-11-8-0-download-archive)
 and use the target selection wizard to choose your platform and Linux
 distribution. Select an installer type of "runfile (local)" at the
 last step.
 
 This will provide you with a recipe for downloading and running a
-install shell script that will install the toolkit and drivers.
+install shell script that will install the toolkit and drivers. For
+example, the install script recipe for Ubuntu 22.04 running on a
+x86_64 system is:
 
-#### 2. Confirm/Install pyTorch 2.1.0 with CUDA 12.1 support
+```
+wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
+sudo sh cuda_11.8.0_520.61.05_linux.run
+```
+
+Rather than cut-and-paste this example, We recommend that you walk
+through the toolkit wizard in order to get the most up to date
+installer for your system.
+
+#### 2. Confirm/Install pyTorch 2.01 with CUDA 11.8 support
 
 If you are using InvokeAI 3.0.2 or higher, these will already be
 installed. If not, you can check whether you have the needed libraries
@@ -122,7 +133,7 @@ Then run the command:
 python -c 'exec("import torch\nprint(torch.__version__)")'
 ```
 
-If it prints __2.1.0+cu121__ you're good. If not, you can install the
+If it prints __1.13.1+cu118__ you're good. If not, you can install the
 most up to date libraries with this command:
 
 ```sh

installer/lib/installer.py

@@ -244,7 +244,7 @@ class InvokeAiInstance:
                 "numpy~=1.24.0",  # choose versions that won't be uninstalled during phase 2
                 "urllib3~=1.26.0",
                 "requests~=2.28.0",
-                "torch~=2.1.0",
+                "torch~=2.0.0",
                 "torchmetrics==0.11.4",
                 "torchvision>=0.14.1",
                 "--force-reinstall",
@@ -460,10 +460,10 @@ def get_torch_source() -> (Union[str, None], str):
             url = "https://download.pytorch.org/whl/cpu"
 
     if device == "cuda":
-        url = "https://download.pytorch.org/whl/cu121"
+        url = "https://download.pytorch.org/whl/cu118"
         optional_modules = "[xformers,onnx-cuda]"
     if device == "cuda_and_dml":
-        url = "https://download.pytorch.org/whl/cu121"
+        url = "https://download.pytorch.org/whl/cu118"
         optional_modules = "[xformers,onnx-directml]"
 
     # in all other cases, Torch wheels should be coming from PyPi as of Torch 1.13

invokeai/app/api/dependencies.py

@@ -24,7 +24,6 @@ from ..services.item_storage.item_storage_sqlite import SqliteItemStorage
 from ..services.latents_storage.latents_storage_disk import DiskLatentsStorage
 from ..services.latents_storage.latents_storage_forward_cache import ForwardCacheLatentsStorage
 from ..services.model_manager.model_manager_default import ModelManagerService
-from ..services.model_records import ModelRecordServiceSQL
 from ..services.names.names_default import SimpleNameService
 from ..services.session_processor.session_processor_default import DefaultSessionProcessor
 from ..services.session_queue.session_queue_sqlite import SqliteSessionQueue
@@ -86,7 +85,6 @@ class ApiDependencies:
         invocation_cache = MemoryInvocationCache(max_cache_size=config.node_cache_size)
         latents = ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents"))
         model_manager = ModelManagerService(config, logger)
-        model_record_service = ModelRecordServiceSQL(db=db)
         names = SimpleNameService()
         performance_statistics = InvocationStatsService()
         processor = DefaultInvocationProcessor()
@@ -113,7 +111,6 @@ class ApiDependencies:
             latents=latents,
             logger=logger,
             model_manager=model_manager,
-            model_records=model_record_service,
             names=names,
             performance_statistics=performance_statistics,
             processor=processor,

invokeai/app/api/routers/model_records.py

@@ -1,164 +0,0 @@
-# Copyright (c) 2023 Lincoln D. Stein
-"""FastAPI route for model configuration records."""
-
-
-from hashlib import sha1
-from random import randbytes
-from typing import List, Optional
-
-from fastapi import Body, Path, Query, Response
-from fastapi.routing import APIRouter
-from pydantic import BaseModel, ConfigDict
-from starlette.exceptions import HTTPException
-from typing_extensions import Annotated
-
-from invokeai.app.services.model_records import (
-    DuplicateModelException,
-    InvalidModelException,
-    UnknownModelException,
-)
-from invokeai.backend.model_manager.config import (
-    AnyModelConfig,
-    BaseModelType,
-    ModelType,
-)
-
-from ..dependencies import ApiDependencies
-
-model_records_router = APIRouter(prefix="/v1/model/record", tags=["models"])
-
-
-class ModelsList(BaseModel):
-    """Return list of configs."""
-
-    models: list[AnyModelConfig]
-
-    model_config = ConfigDict(use_enum_values=True)
-
-
-@model_records_router.get(
-    "/",
-    operation_id="list_model_records",
-)
-async def list_model_records(
-    base_models: Optional[List[BaseModelType]] = Query(default=None, description="Base models to include"),
-    model_type: Optional[ModelType] = Query(default=None, description="The type of model to get"),
-) -> ModelsList:
-    """Get a list of models."""
-    record_store = ApiDependencies.invoker.services.model_records
-    found_models: list[AnyModelConfig] = []
-    if base_models:
-        for base_model in base_models:
-            found_models.extend(record_store.search_by_attr(base_model=base_model, model_type=model_type))
-    else:
-        found_models.extend(record_store.search_by_attr(model_type=model_type))
-    return ModelsList(models=found_models)
-
-
-@model_records_router.get(
-    "/i/{key}",
-    operation_id="get_model_record",
-    responses={
-        200: {"description": "Success"},
-        400: {"description": "Bad request"},
-        404: {"description": "The model could not be found"},
-    },
-)
-async def get_model_record(
-    key: str = Path(description="Key of the model record to fetch."),
-) -> AnyModelConfig:
-    """Get a model record"""
-    record_store = ApiDependencies.invoker.services.model_records
-    try:
-        return record_store.get_model(key)
-    except UnknownModelException as e:
-        raise HTTPException(status_code=404, detail=str(e))
-
-
-@model_records_router.patch(
-    "/i/{key}",
-    operation_id="update_model_record",
-    responses={
-        200: {"description": "The model was updated successfully"},
-        400: {"description": "Bad request"},
-        404: {"description": "The model could not be found"},
-        409: {"description": "There is already a model corresponding to the new name"},
-    },
-    status_code=200,
-    response_model=AnyModelConfig,
-)
-async def update_model_record(
-    key: Annotated[str, Path(description="Unique key of model")],
-    info: Annotated[AnyModelConfig, Body(description="Model config", discriminator="type")],
-) -> AnyModelConfig:
-    """Update model contents with a new config. If the model name or base fields are changed, then the model is renamed."""
-    logger = ApiDependencies.invoker.services.logger
-    record_store = ApiDependencies.invoker.services.model_records
-    try:
-        model_response = record_store.update_model(key, config=info)
-        logger.info(f"Updated model: {key}")
-    except UnknownModelException as e:
-        raise HTTPException(status_code=404, detail=str(e))
-    except ValueError as e:
-        logger.error(str(e))
-        raise HTTPException(status_code=409, detail=str(e))
-    return model_response
-
-
-@model_records_router.delete(
-    "/i/{key}",
-    operation_id="del_model_record",
-    responses={
-        204: {"description": "Model deleted successfully"},
-        404: {"description": "Model not found"},
-    },
-    status_code=204,
-)
-async def del_model_record(
-    key: str = Path(description="Unique key of model to remove from model registry."),
-) -> Response:
-    """Delete Model"""
-    logger = ApiDependencies.invoker.services.logger
-
-    try:
-        record_store = ApiDependencies.invoker.services.model_records
-        record_store.del_model(key)
-        logger.info(f"Deleted model: {key}")
-        return Response(status_code=204)
-    except UnknownModelException as e:
-        logger.error(str(e))
-        raise HTTPException(status_code=404, detail=str(e))
-
-
-@model_records_router.post(
-    "/i/",
-    operation_id="add_model_record",
-    responses={
-        201: {"description": "The model added successfully"},
-        409: {"description": "There is already a model corresponding to this path or repo_id"},
-        415: {"description": "Unrecognized file/folder format"},
-    },
-    status_code=201,
-)
-async def add_model_record(
-    config: Annotated[AnyModelConfig, Body(description="Model config", discriminator="type")]
-) -> AnyModelConfig:
-    """
-    Add a model using the configuration information appropriate for its type.
-    """
-    logger = ApiDependencies.invoker.services.logger
-    record_store = ApiDependencies.invoker.services.model_records
-    if config.key == "<NOKEY>":
-        config.key = sha1(randbytes(100)).hexdigest()
-        logger.info(f"Created model {config.key} for {config.name}")
-    try:
-        record_store.add_model(config.key, config)
-    except DuplicateModelException as e:
-        logger.error(str(e))
-        raise HTTPException(status_code=409, detail=str(e))
-    except InvalidModelException as e:
-        logger.error(str(e))
-        raise HTTPException(status_code=415)
-
-    # now fetch it out
-    return record_store.get_model(config.key)

invokeai/app/api/routers/models.py

@@ -1,5 +1,6 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654), 2023 Kent Keirsey (https://github.com/hipsterusername), 2023 Lincoln D. Stein
 
+
 import pathlib
 from typing import Annotated, List, Literal, Optional, Union
 

invokeai/app/api_app.py

@@ -43,7 +43,6 @@ if True:  # hack to make flake8 happy with imports coming after setting up the c
         board_images,
         boards,
         images,
-        model_records,
         models,
         session_queue,
         sessions,
@@ -107,7 +106,6 @@ app.include_router(sessions.session_router, prefix="/api")
 
 app.include_router(utilities.utilities_router, prefix="/api")
 app.include_router(models.models_router, prefix="/api")
-app.include_router(model_records.model_records_router, prefix="/api")
 app.include_router(images.images_router, prefix="/api")
 app.include_router(boards.boards_router, prefix="/api")
 app.include_router(board_images.board_images_router, prefix="/api")

invokeai/app/invocations/compel.py

@@ -112,11 +112,10 @@ class CompelInvocation(BaseInvocation):
                 tokenizer,
                 ti_manager,
             ),
+            ModelPatcher.apply_clip_skip(text_encoder_info.context.model, self.clip.skipped_layers),
             text_encoder_info as text_encoder,
             # Apply the LoRA after text_encoder has been moved to its target device for faster patching.
             ModelPatcher.apply_lora_text_encoder(text_encoder, _lora_loader()),
-            # Apply CLIP Skip after LoRA to prevent LoRA application from failing on skipped layers.
-            ModelPatcher.apply_clip_skip(text_encoder_info.context.model, self.clip.skipped_layers),
         ):
             compel = Compel(
                 tokenizer=tokenizer,
@@ -235,11 +234,10 @@ class SDXLPromptInvocationBase:
                 tokenizer,
                 ti_manager,
             ),
+            ModelPatcher.apply_clip_skip(text_encoder_info.context.model, clip_field.skipped_layers),
             text_encoder_info as text_encoder,
             # Apply the LoRA after text_encoder has been moved to its target device for faster patching.
             ModelPatcher.apply_lora(text_encoder, _lora_loader(), lora_prefix),
-            # Apply CLIP Skip after LoRA to prevent LoRA application from failing on skipped layers.
-            ModelPatcher.apply_clip_skip(text_encoder_info.context.model, clip_field.skipped_layers),
         ):
             compel = Compel(
                 tokenizer=tokenizer,

invokeai/app/services/invocation_services.py

@@ -22,7 +22,6 @@ if TYPE_CHECKING:
     from .item_storage.item_storage_base import ItemStorageABC
     from .latents_storage.latents_storage_base import LatentsStorageBase
     from .model_manager.model_manager_base import ModelManagerServiceBase
-    from .model_records import ModelRecordServiceBase
     from .names.names_base import NameServiceBase
     from .session_processor.session_processor_base import SessionProcessorBase
     from .session_queue.session_queue_base import SessionQueueBase
@@ -50,7 +49,6 @@ class InvocationServices:
     latents: "LatentsStorageBase"
     logger: "Logger"
     model_manager: "ModelManagerServiceBase"
-    model_records: "ModelRecordServiceBase"
     processor: "InvocationProcessorABC"
     performance_statistics: "InvocationStatsServiceBase"
     queue: "InvocationQueueABC"
@@ -78,7 +76,6 @@ class InvocationServices:
         latents: "LatentsStorageBase",
         logger: "Logger",
         model_manager: "ModelManagerServiceBase",
-        model_records: "ModelRecordServiceBase",
         processor: "InvocationProcessorABC",
         performance_statistics: "InvocationStatsServiceBase",
         queue: "InvocationQueueABC",
@@ -104,7 +101,6 @@ class InvocationServices:
         self.latents = latents
         self.logger = logger
         self.model_manager = model_manager
-        self.model_records = model_records
         self.processor = processor
         self.performance_statistics = performance_statistics
         self.queue = queue

invokeai/app/services/model_records/__init__.py

@@ -1,8 +0,0 @@
-"""Init file for model record services."""
-from .model_records_base import (  # noqa F401
-    DuplicateModelException,
-    InvalidModelException,
-    ModelRecordServiceBase,
-    UnknownModelException,
-)
-from .model_records_sql import ModelRecordServiceSQL  # noqa F401

invokeai/app/services/model_records/model_records_base.py

@@ -1,169 +0,0 @@
-# Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
-"""
-Abstract base class for storing and retrieving model configuration records.
-"""
-
-from abc import ABC, abstractmethod
-from pathlib import Path
-from typing import List, Optional, Union
-
-from invokeai.backend.model_manager.config import AnyModelConfig, BaseModelType, ModelType
-
-# should match the InvokeAI version when this is first released.
-CONFIG_FILE_VERSION = "3.2.0"
-
-
-class DuplicateModelException(Exception):
-    """Raised on an attempt to add a model with the same key twice."""
-
-
-class InvalidModelException(Exception):
-    """Raised when an invalid model is detected."""
-
-
-class UnknownModelException(Exception):
-    """Raised on an attempt to fetch or delete a model with a nonexistent key."""
-
-
-class ConfigFileVersionMismatchException(Exception):
-    """Raised on an attempt to open a config with an incompatible version."""
-
-
-class ModelRecordServiceBase(ABC):
-    """Abstract base class for storage and retrieval of model configs."""
-
-    @property
-    @abstractmethod
-    def version(self) -> str:
-        """Return the config file/database schema version."""
-        pass
-
-    @abstractmethod
-    def add_model(self, key: str, config: Union[dict, AnyModelConfig]) -> AnyModelConfig:
-        """
-        Add a model to the database.
-
-        :param key: Unique key for the model
-        :param config: Model configuration record, either a dict with the
-         required fields or a ModelConfigBase instance.
-
-        Can raise DuplicateModelException and InvalidModelConfigException exceptions.
-        """
-        pass
-
-    @abstractmethod
-    def del_model(self, key: str) -> None:
-        """
-        Delete a model.
-
-        :param key: Unique key for the model to be deleted
-
-        Can raise an UnknownModelException
-        """
-        pass
-
-    @abstractmethod
-    def update_model(self, key: str, config: Union[dict, AnyModelConfig]) -> AnyModelConfig:
-        """
-        Update the model, returning the updated version.
-
-        :param key: Unique key for the model to be updated
-        :param config: Model configuration record. Either a dict with the
-         required fields, or a ModelConfigBase instance.
-        """
-        pass
-
-    @abstractmethod
-    def get_model(self, key: str) -> AnyModelConfig:
-        """
-        Retrieve the configuration for the indicated model.
-
-        :param key: Key of model config to be fetched.
-
-        Exceptions: UnknownModelException
-        """
-        pass
-
-    @abstractmethod
-    def exists(self, key: str) -> bool:
-        """
-        Return True if a model with the indicated key exists in the databse.
-
-        :param key: Unique key for the model to be deleted
-        """
-        pass
-
-    @abstractmethod
-    def search_by_path(
-        self,
-        path: Union[str, Path],
-    ) -> List[AnyModelConfig]:
-        """Return the model(s) having the indicated path."""
-        pass
-
-    @abstractmethod
-    def search_by_hash(
-        self,
-        hash: str,
-    ) -> List[AnyModelConfig]:
-        """Return the model(s) having the indicated original hash."""
-        pass
-
-    @abstractmethod
-    def search_by_attr(
-        self,
-        model_name: Optional[str] = None,
-        base_model: Optional[BaseModelType] = None,
-        model_type: Optional[ModelType] = None,
-    ) -> List[AnyModelConfig]:
-        """
-        Return models matching name, base and/or type.
-
-        :param model_name: Filter by name of model (optional)
-        :param base_model: Filter by base model (optional)
-        :param model_type: Filter by type of model (optional)
-
-        If none of the optional filters are passed, will return all
-        models in the database.
-        """
-        pass
-
-    def all_models(self) -> List[AnyModelConfig]:
-        """Return all the model configs in the database."""
-        return self.search_by_attr()
-
-    def model_info_by_name(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> AnyModelConfig:
-        """
-        Return information about a single model using its name, base type and model type.
-
-        If there are more than one model that match, raises a DuplicateModelException.
-        If no model matches, raises an UnknownModelException
-        """
-        model_configs = self.search_by_attr(model_name=model_name, base_model=base_model, model_type=model_type)
-        if len(model_configs) > 1:
-            raise DuplicateModelException(
-                f"More than one model matched the search criteria: base_model='{base_model}', model_type='{model_type}', model_name='{model_name}'."
-            )
-        if len(model_configs) == 0:
-            raise UnknownModelException(
-                f"More than one model matched the search criteria: base_model='{base_model}', model_type='{model_type}', model_name='{model_name}'."
-            )
-        return model_configs[0]
-
-    def rename_model(
-        self,
-        key: str,
-        new_name: str,
-    ) -> AnyModelConfig:
-        """
-        Rename the indicated model. Just a special case of update_model().
-
-        In some implementations, renaming the model may involve changing where
-        it is stored on the filesystem. So this is broken out.
-
-        :param key: Model key
-        :param new_name: New name for model
-        """
-        config = self.get_model(key)
-        config.name = new_name
-        return self.update_model(key, config)

invokeai/app/services/model_records/model_records_sql.py

@@ -1,397 +0,0 @@
-# Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
-"""
-SQL Implementation of the ModelRecordServiceBase API
-
-Typical usage:
-
-  from invokeai.backend.model_manager import ModelConfigStoreSQL
-  store = ModelConfigStoreSQL(sqlite_db)
-  config = dict(
-        path='/tmp/pokemon.bin',
-        name='old name',
-        base_model='sd-1',
-        type='embedding',
-        format='embedding_file',
-     )
-
-   # adding - the key becomes the model's "key" field
-   store.add_model('key1', config)
-
-   # updating
-   config.name='new name'
-   store.update_model('key1', config)
-
-   # checking for existence
-   if store.exists('key1'):
-      print("yes")
-
-   # fetching config
-   new_config = store.get_model('key1')
-   print(new_config.name, new_config.base)
-   assert new_config.key == 'key1'
-
-  # deleting
-  store.del_model('key1')
-
-  # searching
-  configs = store.search_by_path(path='/tmp/pokemon.bin')
-  configs = store.search_by_hash('750a499f35e43b7e1b4d15c207aa2f01')
-  configs = store.search_by_attr(base_model='sd-2', model_type='main')
-"""
-
-
-import json
-import sqlite3
-from pathlib import Path
-from typing import List, Optional, Union
-
-from invokeai.backend.model_manager.config import (
-    AnyModelConfig,
-    BaseModelType,
-    ModelConfigBase,
-    ModelConfigFactory,
-    ModelType,
-)
-
-from ..shared.sqlite import SqliteDatabase
-from .model_records_base import (
-    CONFIG_FILE_VERSION,
-    DuplicateModelException,
-    ModelRecordServiceBase,
-    UnknownModelException,
-)
-
-
-class ModelRecordServiceSQL(ModelRecordServiceBase):
-    """Implementation of the ModelConfigStore ABC using a SQL database."""
-
-    _db: SqliteDatabase
-    _cursor: sqlite3.Cursor
-
-    def __init__(self, db: SqliteDatabase):
-        """
-        Initialize a new object from preexisting sqlite3 connection and threading lock objects.
-
-        :param conn: sqlite3 connection object
-        :param lock: threading Lock object
-        """
-        super().__init__()
-        self._db = db
-        self._cursor = self._db.conn.cursor()
-
-        with self._db.lock:
-            # Enable foreign keys
-            self._db.conn.execute("PRAGMA foreign_keys = ON;")
-            self._create_tables()
-            self._db.conn.commit()
-        assert (
-            str(self.version) == CONFIG_FILE_VERSION
-        ), f"Model config version {self.version} does not match expected version {CONFIG_FILE_VERSION}"
-
-    def _create_tables(self) -> None:
-        """Create sqlite3 tables."""
-        #  model_config table breaks out the fields that are common to all config objects
-        # and puts class-specific ones in a serialized json object
-        self._cursor.execute(
-            """--sql
-            CREATE TABLE IF NOT EXISTS model_config (
-                id TEXT NOT NULL PRIMARY KEY,
-                -- The next 3 fields are enums in python, unrestricted string here
-                base TEXT NOT NULL,
-                type TEXT NOT NULL,
-                name TEXT NOT NULL,
-                path TEXT NOT NULL,
-                original_hash TEXT, -- could be null
-                -- Serialized JSON representation of the whole config object,
-                -- which will contain additional fields from subclasses
-                config TEXT NOT NULL,
-                created_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')),
-                -- Updated via trigger
-                updated_at DATETIME NOT NULL DEFAULT(STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')),
-                -- unique constraint on combo of name, base and type
-                UNIQUE(name, base, type)
-            );
-            """
-        )
-
-        #  metadata table
-        self._cursor.execute(
-            """--sql
-            CREATE TABLE IF NOT EXISTS model_manager_metadata (
-                metadata_key TEXT NOT NULL PRIMARY KEY,
-                metadata_value TEXT NOT NULL
-            );
-            """
-        )
-
-        # Add trigger for `updated_at`.
-        self._cursor.execute(
-            """--sql
-            CREATE TRIGGER IF NOT EXISTS model_config_updated_at
-            AFTER UPDATE
-            ON model_config FOR EACH ROW
-            BEGIN
-                UPDATE model_config SET updated_at = STRFTIME('%Y-%m-%d %H:%M:%f', 'NOW')
-                    WHERE id = old.id;
-            END;
-            """
-        )
-
-        # Add indexes for searchable fields
-        for stmt in [
-            "CREATE INDEX IF NOT EXISTS base_index ON model_config(base);",
-            "CREATE INDEX IF NOT EXISTS type_index ON model_config(type);",
-            "CREATE INDEX IF NOT EXISTS name_index ON model_config(name);",
-            "CREATE UNIQUE INDEX IF NOT EXISTS path_index ON model_config(path);",
-        ]:
-            self._cursor.execute(stmt)
-
-        # Add our version to the metadata table
-        self._cursor.execute(
-            """--sql
-            INSERT OR IGNORE into model_manager_metadata (
-               metadata_key,
-               metadata_value
-            )
-            VALUES (?,?);
-            """,
-            ("version", CONFIG_FILE_VERSION),
-        )
-
-    def add_model(self, key: str, config: Union[dict, ModelConfigBase]) -> AnyModelConfig:
-        """
-        Add a model to the database.
-
-        :param key: Unique key for the model
-        :param config: Model configuration record, either a dict with the
-         required fields or a ModelConfigBase instance.
-
-        Can raise DuplicateModelException and InvalidModelConfigException exceptions.
-        """
-        record = ModelConfigFactory.make_config(config, key=key)  # ensure it is a valid config obect.
-        json_serialized = record.model_dump_json()  # and turn it into a json string.
-        with self._db.lock:
-            try:
-                self._cursor.execute(
-                    """--sql
-                    INSERT INTO model_config (
-                       id,
-                       base,
-                       type,
-                       name,
-                       path,
-                       original_hash,
-                       config
-                      )
-                    VALUES (?,?,?,?,?,?,?);
-                    """,
-                    (
-                        key,
-                        record.base,
-                        record.type,
-                        record.name,
-                        record.path,
-                        record.original_hash,
-                        json_serialized,
-                    ),
-                )
-                self._db.conn.commit()
-
-            except sqlite3.IntegrityError as e:
-                self._db.conn.rollback()
-                if "UNIQUE constraint failed" in str(e):
-                    if "model_config.path" in str(e):
-                        msg = f"A model with path '{record.path}' is already installed"
-                    elif "model_config.name" in str(e):
-                        msg = f"A model with name='{record.name}', type='{record.type}', base='{record.base}' is already installed"
-                    else:
-                        msg = f"A model with key '{key}' is already installed"
-                    raise DuplicateModelException(msg) from e
-                else:
-                    raise e
-            except sqlite3.Error as e:
-                self._db.conn.rollback()
-                raise e
-
-        return self.get_model(key)
-
-    @property
-    def version(self) -> str:
-        """Return the version of the database schema."""
-        with self._db.lock:
-            self._cursor.execute(
-                """--sql
-                SELECT metadata_value FROM model_manager_metadata
-                WHERE metadata_key=?;
-                """,
-                ("version",),
-            )
-            rows = self._cursor.fetchone()
-            if not rows:
-                raise KeyError("Models database does not have metadata key 'version'")
-            return rows[0]
-
-    def del_model(self, key: str) -> None:
-        """
-        Delete a model.
-
-        :param key: Unique key for the model to be deleted
-
-        Can raise an UnknownModelException
-        """
-        with self._db.lock:
-            try:
-                self._cursor.execute(
-                    """--sql
-                    DELETE FROM model_config
-                    WHERE id=?;
-                    """,
-                    (key,),
-                )
-                if self._cursor.rowcount == 0:
-                    raise UnknownModelException("model not found")
-                self._db.conn.commit()
-            except sqlite3.Error as e:
-                self._db.conn.rollback()
-                raise e
-
-    def update_model(self, key: str, config: ModelConfigBase) -> AnyModelConfig:
-        """
-        Update the model, returning the updated version.
-
-        :param key: Unique key for the model to be updated
-        :param config: Model configuration record. Either a dict with the
-         required fields, or a ModelConfigBase instance.
-        """
-        record = ModelConfigFactory.make_config(config, key=key)  # ensure it is a valid config obect
-        json_serialized = record.model_dump_json()  # and turn it into a json string.
-        with self._db.lock:
-            try:
-                self._cursor.execute(
-                    """--sql
-                    UPDATE model_config
-                    SET base=?,
-                        type=?,
-                        name=?,
-                        path=?,
-                        config=?
-                    WHERE id=?;
-                    """,
-                    (record.base, record.type, record.name, record.path, json_serialized, key),
-                )
-                if self._cursor.rowcount == 0:
-                    raise UnknownModelException("model not found")
-                self._db.conn.commit()
-            except sqlite3.Error as e:
-                self._db.conn.rollback()
-                raise e
-
-        return self.get_model(key)
-
-    def get_model(self, key: str) -> AnyModelConfig:
-        """
-        Retrieve the ModelConfigBase instance for the indicated model.
-
-        :param key: Key of model config to be fetched.
-
-        Exceptions: UnknownModelException
-        """
-        with self._db.lock:
-            self._cursor.execute(
-                """--sql
-                SELECT config FROM model_config
-                WHERE id=?;
-                """,
-                (key,),
-            )
-            rows = self._cursor.fetchone()
-            if not rows:
-                raise UnknownModelException("model not found")
-            model = ModelConfigFactory.make_config(json.loads(rows[0]))
-        return model
-
-    def exists(self, key: str) -> bool:
-        """
-        Return True if a model with the indicated key exists in the databse.
-
-        :param key: Unique key for the model to be deleted
-        """
-        count = 0
-        with self._db.lock:
-            self._cursor.execute(
-                """--sql
-                select count(*) FROM model_config
-                WHERE id=?;
-                """,
-                (key,),
-            )
-            count = self._cursor.fetchone()[0]
-        return count > 0
-
-    def search_by_attr(
-        self,
-        model_name: Optional[str] = None,
-        base_model: Optional[BaseModelType] = None,
-        model_type: Optional[ModelType] = None,
-    ) -> List[AnyModelConfig]:
-        """
-        Return models matching name, base and/or type.
-
-        :param model_name: Filter by name of model (optional)
-        :param base_model: Filter by base model (optional)
-        :param model_type: Filter by type of model (optional)
-
-        If none of the optional filters are passed, will return all
-        models in the database.
-        """
-        results = []
-        where_clause = []
-        bindings = []
-        if model_name:
-            where_clause.append("name=?")
-            bindings.append(model_name)
-        if base_model:
-            where_clause.append("base=?")
-            bindings.append(base_model)
-        if model_type:
-            where_clause.append("type=?")
-            bindings.append(model_type)
-        where = f"WHERE {' AND '.join(where_clause)}" if where_clause else ""
-        with self._db.lock:
-            self._cursor.execute(
-                f"""--sql
-                select config FROM model_config
-                {where};
-                """,
-                tuple(bindings),
-            )
-            results = [ModelConfigFactory.make_config(json.loads(x[0])) for x in self._cursor.fetchall()]
-        return results
-
-    def search_by_path(self, path: Union[str, Path]) -> List[ModelConfigBase]:
-        """Return models with the indicated path."""
-        results = []
-        with self._db.lock:
-            self._cursor.execute(
-                """--sql
-                SELECT config FROM model_config
-                WHERE model_path=?;
-                """,
-                (str(path),),
-            )
-            results = [ModelConfigFactory.make_config(json.loads(x[0])) for x in self._cursor.fetchall()]
-        return results
-
-    def search_by_hash(self, hash: str) -> List[ModelConfigBase]:
-        """Return models with the indicated original_hash."""
-        results = []
-        with self._db.lock:
-            self._cursor.execute(
-                """--sql
-                SELECT config FROM model_config
-                WHERE original_hash=?;
-                """,
-                (hash,),
-            )
-            results = [ModelConfigFactory.make_config(json.loads(x[0])) for x in self._cursor.fetchall()]
-        return results

invokeai/backend/model_manager/config.py

@@ -1,323 +0,0 @@
-# Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
-"""
-Configuration definitions for image generation models.
-
-Typical usage:
-
-  from invokeai.backend.model_manager import ModelConfigFactory
-  raw = dict(path='models/sd-1/main/foo.ckpt',
-             name='foo',
-             base='sd-1',
-             type='main',
-             config='configs/stable-diffusion/v1-inference.yaml',
-             variant='normal',
-             format='checkpoint'
-            )
-  config = ModelConfigFactory.make_config(raw)
-  print(config.name)
-
-Validation errors will raise an InvalidModelConfigException error.
-
-"""
-from enum import Enum
-from typing import Literal, Optional, Type, Union
-
-from pydantic import BaseModel, ConfigDict, Field, TypeAdapter
-from typing_extensions import Annotated
-
-
-class InvalidModelConfigException(Exception):
-    """Exception for when config parser doesn't recognized this combination of model type and format."""
-
-
-class BaseModelType(str, Enum):
-    """Base model type."""
-
-    Any = "any"
-    StableDiffusion1 = "sd-1"
-    StableDiffusion2 = "sd-2"
-    StableDiffusionXL = "sdxl"
-    StableDiffusionXLRefiner = "sdxl-refiner"
-    # Kandinsky2_1 = "kandinsky-2.1"
-
-
-class ModelType(str, Enum):
-    """Model type."""
-
-    ONNX = "onnx"
-    Main = "main"
-    Vae = "vae"
-    Lora = "lora"
-    ControlNet = "controlnet"  # used by model_probe
-    TextualInversion = "embedding"
-    IPAdapter = "ip_adapter"
-    CLIPVision = "clip_vision"
-    T2IAdapter = "t2i_adapter"
-
-
-class SubModelType(str, Enum):
-    """Submodel type."""
-
-    UNet = "unet"
-    TextEncoder = "text_encoder"
-    TextEncoder2 = "text_encoder_2"
-    Tokenizer = "tokenizer"
-    Tokenizer2 = "tokenizer_2"
-    Vae = "vae"
-    VaeDecoder = "vae_decoder"
-    VaeEncoder = "vae_encoder"
-    Scheduler = "scheduler"
-    SafetyChecker = "safety_checker"
-
-
-class ModelVariantType(str, Enum):
-    """Variant type."""
-
-    Normal = "normal"
-    Inpaint = "inpaint"
-    Depth = "depth"
-
-
-class ModelFormat(str, Enum):
-    """Storage format of model."""
-
-    Diffusers = "diffusers"
-    Checkpoint = "checkpoint"
-    Lycoris = "lycoris"
-    Onnx = "onnx"
-    Olive = "olive"
-    EmbeddingFile = "embedding_file"
-    EmbeddingFolder = "embedding_folder"
-    InvokeAI = "invokeai"
-
-
-class SchedulerPredictionType(str, Enum):
-    """Scheduler prediction type."""
-
-    Epsilon = "epsilon"
-    VPrediction = "v_prediction"
-    Sample = "sample"
-
-
-class ModelConfigBase(BaseModel):
-    """Base class for model configuration information."""
-
-    path: str
-    name: str
-    base: BaseModelType
-    type: ModelType
-    format: ModelFormat
-    key: str = Field(description="unique key for model", default="<NOKEY>")
-    original_hash: Optional[str] = Field(
-        description="original fasthash of model contents", default=None
-    )  # this is assigned at install time and will not change
-    current_hash: Optional[str] = Field(
-        description="current fasthash of model contents", default=None
-    )  # if model is converted or otherwise modified, this will hold updated hash
-    description: Optional[str] = Field(default=None)
-    source: Optional[str] = Field(description="Model download source (URL or repo_id)", default=None)
-
-    model_config = ConfigDict(
-        use_enum_values=False,
-        validate_assignment=True,
-    )
-
-    def update(self, attributes: dict):
-        """Update the object with fields in dict."""
-        for key, value in attributes.items():
-            setattr(self, key, value)  # may raise a validation error
-
-
-class _CheckpointConfig(ModelConfigBase):
-    """Model config for checkpoint-style models."""
-
-    format: Literal[ModelFormat.Checkpoint] = ModelFormat.Checkpoint
-    config: str = Field(description="path to the checkpoint model config file")
-
-
-class _DiffusersConfig(ModelConfigBase):
-    """Model config for diffusers-style models."""
-
-    format: Literal[ModelFormat.Diffusers] = ModelFormat.Diffusers
-
-
-class LoRAConfig(ModelConfigBase):
-    """Model config for LoRA/Lycoris models."""
-
-    type: Literal[ModelType.Lora] = ModelType.Lora
-    format: Literal[ModelFormat.Lycoris, ModelFormat.Diffusers]
-
-
-class VaeCheckpointConfig(ModelConfigBase):
-    """Model config for standalone VAE models."""
-
-    type: Literal[ModelType.Vae] = ModelType.Vae
-    format: Literal[ModelFormat.Checkpoint] = ModelFormat.Checkpoint
-
-
-class VaeDiffusersConfig(ModelConfigBase):
-    """Model config for standalone VAE models (diffusers version)."""
-
-    type: Literal[ModelType.Vae] = ModelType.Vae
-    format: Literal[ModelFormat.Diffusers] = ModelFormat.Diffusers
-
-
-class ControlNetDiffusersConfig(_DiffusersConfig):
-    """Model config for ControlNet models (diffusers version)."""
-
-    type: Literal[ModelType.ControlNet] = ModelType.ControlNet
-    format: Literal[ModelFormat.Diffusers] = ModelFormat.Diffusers
-
-
-class ControlNetCheckpointConfig(_CheckpointConfig):
-    """Model config for ControlNet models (diffusers version)."""
-
-    type: Literal[ModelType.ControlNet] = ModelType.ControlNet
-    format: Literal[ModelFormat.Checkpoint] = ModelFormat.Checkpoint
-
-
-class TextualInversionConfig(ModelConfigBase):
-    """Model config for textual inversion embeddings."""
-
-    type: Literal[ModelType.TextualInversion] = ModelType.TextualInversion
-    format: Literal[ModelFormat.EmbeddingFile, ModelFormat.EmbeddingFolder]
-
-
-class _MainConfig(ModelConfigBase):
-    """Model config for main models."""
-
-    vae: Optional[str] = Field(default=None)
-    variant: ModelVariantType = ModelVariantType.Normal
-    ztsnr_training: bool = False
-
-
-class MainCheckpointConfig(_CheckpointConfig, _MainConfig):
-    """Model config for main checkpoint models."""
-
-    type: Literal[ModelType.Main] = ModelType.Main
-    # Note that we do not need prediction_type or upcast_attention here
-    # because they are provided in the checkpoint's own config file.
-
-
-class MainDiffusersConfig(_DiffusersConfig, _MainConfig):
-    """Model config for main diffusers models."""
-
-    type: Literal[ModelType.Main] = ModelType.Main
-    prediction_type: SchedulerPredictionType = SchedulerPredictionType.Epsilon
-    upcast_attention: bool = False
-
-
-class ONNXSD1Config(_MainConfig):
-    """Model config for ONNX format models based on sd-1."""
-
-    type: Literal[ModelType.ONNX] = ModelType.ONNX
-    format: Literal[ModelFormat.Onnx, ModelFormat.Olive]
-    base: Literal[BaseModelType.StableDiffusion1] = BaseModelType.StableDiffusion1
-    prediction_type: SchedulerPredictionType = SchedulerPredictionType.Epsilon
-    upcast_attention: bool = False
-
-
-class ONNXSD2Config(_MainConfig):
-    """Model config for ONNX format models based on sd-2."""
-
-    type: Literal[ModelType.ONNX] = ModelType.ONNX
-    format: Literal[ModelFormat.Onnx, ModelFormat.Olive]
-    # No yaml config file for ONNX, so these are part of config
-    base: Literal[BaseModelType.StableDiffusion2] = BaseModelType.StableDiffusion2
-    prediction_type: SchedulerPredictionType = SchedulerPredictionType.VPrediction
-    upcast_attention: bool = True
-
-
-class IPAdapterConfig(ModelConfigBase):
-    """Model config for IP Adaptor format models."""
-
-    type: Literal[ModelType.IPAdapter] = ModelType.IPAdapter
-    format: Literal[ModelFormat.InvokeAI]
-
-
-class CLIPVisionDiffusersConfig(ModelConfigBase):
-    """Model config for ClipVision."""
-
-    type: Literal[ModelType.CLIPVision] = ModelType.CLIPVision
-    format: Literal[ModelFormat.Diffusers]
-
-
-class T2IConfig(ModelConfigBase):
-    """Model config for T2I."""
-
-    type: Literal[ModelType.T2IAdapter] = ModelType.T2IAdapter
-    format: Literal[ModelFormat.Diffusers]
-
-
-_ONNXConfig = Annotated[Union[ONNXSD1Config, ONNXSD2Config], Field(discriminator="base")]
-_ControlNetConfig = Annotated[
-    Union[ControlNetDiffusersConfig, ControlNetCheckpointConfig],
-    Field(discriminator="format"),
-]
-_VaeConfig = Annotated[Union[VaeDiffusersConfig, VaeCheckpointConfig], Field(discriminator="format")]
-_MainModelConfig = Annotated[Union[MainDiffusersConfig, MainCheckpointConfig], Field(discriminator="format")]
-
-AnyModelConfig = Union[
-    _MainModelConfig,
-    _ONNXConfig,
-    _VaeConfig,
-    _ControlNetConfig,
-    LoRAConfig,
-    TextualInversionConfig,
-    IPAdapterConfig,
-    CLIPVisionDiffusersConfig,
-    T2IConfig,
-]
-
-AnyModelConfigValidator = TypeAdapter(AnyModelConfig)
-
-# IMPLEMENTATION NOTE:
-# The preferred alternative to the above is a discriminated Union as shown
-# below. However, it breaks FastAPI when used as the input Body parameter in a route.
-# This is a known issue. Please see:
-#   https://github.com/tiangolo/fastapi/discussions/9761 and
-#   https://github.com/tiangolo/fastapi/discussions/9287
-# AnyModelConfig = Annotated[
-#     Union[
-#         _MainModelConfig,
-#         _ONNXConfig,
-#         _VaeConfig,
-#         _ControlNetConfig,
-#         LoRAConfig,
-#         TextualInversionConfig,
-#         IPAdapterConfig,
-#         CLIPVisionDiffusersConfig,
-#         T2IConfig,
-#     ],
-#     Field(discriminator="type"),
-# ]
-
-
-class ModelConfigFactory(object):
-    """Class for parsing config dicts into StableDiffusion Config obects."""
-
-    @classmethod
-    def make_config(
-        cls,
-        model_data: Union[dict, AnyModelConfig],
-        key: Optional[str] = None,
-        dest_class: Optional[Type] = None,
-    ) -> AnyModelConfig:
-        """
-        Return the appropriate config object from raw dict values.
-
-        :param model_data: A raw dict corresponding the obect fields to be
-        parsed into a ModelConfigBase obect (or descendent), or a ModelConfigBase
-        object, which will be passed through unchanged.
-        :param dest_class: The config class to be returned. If not provided, will
-        be selected automatically.
-        """
-        if isinstance(model_data, ModelConfigBase):
-            model = model_data
-        elif dest_class:
-            model = dest_class.validate_python(model_data)
-        else:
-            model = AnyModelConfigValidator.validate_python(model_data)
-        if key:
-            model.key = key
-        return model

invokeai/backend/model_manager/hash.py

@@ -1,66 +0,0 @@
-# Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Development Team
-"""
-Fast hashing of diffusers and checkpoint-style models.
-
-Usage:
-from invokeai.backend.model_managre.model_hash import FastModelHash
->>> FastModelHash.hash('/home/models/stable-diffusion-v1.5')
-'a8e693a126ea5b831c96064dc569956f'
-"""
-
-import hashlib
-import os
-from pathlib import Path
-from typing import Dict, Union
-
-from imohash import hashfile
-
-
-class FastModelHash(object):
-    """FastModelHash obect provides one public class method, hash()."""
-
-    @classmethod
-    def hash(cls, model_location: Union[str, Path]) -> str:
-        """
-        Return hexdigest string for model located at model_location.
-
-        :param model_location: Path to the model
-        """
-        model_location = Path(model_location)
-        if model_location.is_file():
-            return cls._hash_file(model_location)
-        elif model_location.is_dir():
-            return cls._hash_dir(model_location)
-        else:
-            raise OSError(f"Not a valid file or directory: {model_location}")
-
-    @classmethod
-    def _hash_file(cls, model_location: Union[str, Path]) -> str:
-        """
-        Fasthash a single file and return its hexdigest.
-
-        :param model_location: Path to the model file
-        """
-        # we return md5 hash of the filehash to make it shorter
-        # cryptographic security not needed here
-        return hashlib.md5(hashfile(model_location)).hexdigest()
-
-    @classmethod
-    def _hash_dir(cls, model_location: Union[str, Path]) -> str:
-        components: Dict[str, str] = {}
-
-        for root, _dirs, files in os.walk(model_location):
-            for file in files:
-                # only tally tensor files because diffusers config files change slightly
-                # depending on how the model was downloaded/converted.
-                if not file.endswith((".ckpt", ".safetensors", ".bin", ".pt", ".pth")):
-                    continue
-                path = (Path(root) / file).as_posix()
-                fast_hash = cls._hash_file(path)
-                components.update({path: fast_hash})
-
-        # hash all the model hashes together, using alphabetic file order
-        md5 = hashlib.md5()
-        for _path, fast_hash in sorted(components.items()):
-            md5.update(fast_hash.encode("utf-8"))
-        return md5.hexdigest()

invokeai/backend/model_manager/migrate_to_db.py

@@ -1,93 +0,0 @@
-# Copyright (c) 2023 Lincoln D. Stein
-"""Migrate from the InvokeAI v2 models.yaml format to the v3 sqlite format."""
-
-from hashlib import sha1
-
-from omegaconf import DictConfig, OmegaConf
-from pydantic import TypeAdapter
-
-from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.app.services.model_records import (
-    DuplicateModelException,
-    ModelRecordServiceSQL,
-)
-from invokeai.app.services.shared.sqlite import SqliteDatabase
-from invokeai.backend.model_manager.config import (
-    AnyModelConfig,
-    BaseModelType,
-    ModelType,
-)
-from invokeai.backend.model_manager.hash import FastModelHash
-from invokeai.backend.util.logging import InvokeAILogger
-
-ModelsValidator = TypeAdapter(AnyModelConfig)
-
-
-class MigrateModelYamlToDb:
-    """
-    Migrate the InvokeAI models.yaml format (VERSION 3.0.0) to SQL3 database format (VERSION 3.2.0)
-
-    The class has one externally useful method, migrate(), which scans the
-    currently models.yaml file and imports all its entries into invokeai.db.
-
-    Use this way:
-
-      from invokeai.backend.model_manager/migrate_to_db import MigrateModelYamlToDb
-      MigrateModelYamlToDb().migrate()
-
-    """
-
-    config: InvokeAIAppConfig
-    logger: InvokeAILogger
-
-    def __init__(self):
-        self.config = InvokeAIAppConfig.get_config()
-        self.config.parse_args()
-        self.logger = InvokeAILogger.get_logger()
-
-    def get_db(self) -> ModelRecordServiceSQL:
-        """Fetch the sqlite3 database for this installation."""
-        db = SqliteDatabase(self.config, self.logger)
-        return ModelRecordServiceSQL(db)
-
-    def get_yaml(self) -> DictConfig:
-        """Fetch the models.yaml DictConfig for this installation."""
-        yaml_path = self.config.model_conf_path
-        return OmegaConf.load(yaml_path)
-
-    def migrate(self):
-        """Do the migration from models.yaml to invokeai.db."""
-        db = self.get_db()
-        yaml = self.get_yaml()
-
-        for model_key, stanza in yaml.items():
-            if model_key == "__metadata__":
-                assert (
-                    stanza["version"] == "3.0.0"
-                ), f"This script works on version 3.0.0 yaml files, but your configuration points to a {stanza['version']} version"
-                continue
-
-            base_type, model_type, model_name = str(model_key).split("/")
-            hash = FastModelHash.hash(self.config.models_path / stanza.path)
-            new_key = sha1(model_key.encode("utf-8")).hexdigest()
-
-            stanza["base"] = BaseModelType(base_type)
-            stanza["type"] = ModelType(model_type)
-            stanza["name"] = model_name
-            stanza["original_hash"] = hash
-            stanza["current_hash"] = hash
-
-            new_config = ModelsValidator.validate_python(stanza)
-            self.logger.info(f"Adding model {model_name} with key {model_key}")
-            try:
-                db.add_model(new_key, new_config)
-            except DuplicateModelException:
-                self.logger.warning(f"Model {model_name} is already in the database")
-
-
-def main():
-    MigrateModelYamlToDb().migrate()
-
-
-if __name__ == "__main__":
-    main()

invokeai/backend/util/hotfixes.py

@@ -748,7 +748,7 @@ class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
 
             scales = scales * conditioning_scale
             down_block_res_samples = [
-                sample * scale for sample, scale in zip(down_block_res_samples, scales, strict=False)
+                sample * scale for sample, scale in zip(down_block_res_samples, scales, strict=True)
             ]
             mid_block_res_sample = mid_block_res_sample * scales[-1]  # last one
         else:

invokeai/backend/util/util.py

@@ -5,7 +5,6 @@ import math
 import multiprocessing as mp
 import os
 import re
-import warnings
 from collections import abc
 from inspect import isfunction
 from pathlib import Path
@@ -15,10 +14,8 @@ from threading import Thread
 import numpy as np
 import requests
 import torch
-from diffusers import logging as diffusers_logging
 from PIL import Image, ImageDraw, ImageFont
 from tqdm import tqdm
-from transformers import logging as transformers_logging
 
 import invokeai.backend.util.logging as logger
 
@@ -382,21 +379,3 @@ class Chdir(object):
 
     def __exit__(self, *args):
         os.chdir(self.original)
-
-
-class SilenceWarnings(object):
-    """Context manager to temporarily lower verbosity of diffusers & transformers warning messages."""
-
-    def __enter__(self):
-        """Set verbosity to error."""
-        self.transformers_verbosity = transformers_logging.get_verbosity()
-        self.diffusers_verbosity = diffusers_logging.get_verbosity()
-        transformers_logging.set_verbosity_error()
-        diffusers_logging.set_verbosity_error()
-        warnings.simplefilter("ignore")
-
-    def __exit__(self, type, value, traceback):
-        """Restore logger verbosity to state before context was entered."""
-        transformers_logging.set_verbosity(self.transformers_verbosity)
-        diffusers_logging.set_verbosity(self.diffusers_verbosity)
-        warnings.simplefilter("default")

invokeai/frontend/install/invokeai_update.py

@@ -90,14 +90,6 @@ def get_extras():
         pass
     return extras
 
-def get_extra_index() -> str:
-    # parsed_version.local for torch is the platform + version, eg 'cu121' or 'rocm5.6'
-    local = pkg_resources.get_distribution("torch").parsed_version.local
-    if local and 'cu' in local:
-        return "--extra-index-url https://download.pytorch.org/whl/cu121"
-    if local and 'rocm' in local:
-        return "--extra-index-url https://download.pytorch.org/whl/rocm5.6"
-    return ""
 
 def main():
     versions = get_versions()
@@ -130,15 +122,14 @@ def main():
             branch = Prompt.ask("Enter an InvokeAI branch name")
 
     extras = get_extras()
-    extra_index_url = get_extra_index()
 
     print(f":crossed_fingers: Upgrading to [yellow]{tag or release or branch}[/yellow]")
     if release:
-        cmd = f'pip install "invokeai{extras} @ {INVOKE_AI_SRC}/{release}.zip" --use-pep517 --upgrade {extra_index_url}'
+        cmd = f'pip install "invokeai{extras} @ {INVOKE_AI_SRC}/{release}.zip" --use-pep517 --upgrade'
     elif tag:
-        cmd = f'pip install "invokeai{extras} @ {INVOKE_AI_TAG}/{tag}.zip" --use-pep517 --upgrade {extra_index_url}'
+        cmd = f'pip install "invokeai{extras} @ {INVOKE_AI_TAG}/{tag}.zip" --use-pep517 --upgrade'
     else:
-        cmd = f'pip install "invokeai{extras} @ {INVOKE_AI_BRANCH}/{branch}.zip" --use-pep517 --upgrade {extra_index_url}'
+        cmd = f'pip install "invokeai{extras} @ {INVOKE_AI_BRANCH}/{branch}.zip" --use-pep517 --upgrade'
     print("")
     print("")
     if os.system(cmd) == 0:

invokeai/frontend/web/.eslintrc.js

@@ -24,7 +24,6 @@ module.exports = {
   root: true,
   rules: {
     curly: 'error',
-    'react/jsx-no-bind': ['error', { allowBind: true }],
     'react/jsx-curly-brace-presence': [
       'error',
       { props: 'never', children: 'never' },

invokeai/frontend/web/dist/assets/ThemeLocaleProvider-58d6b3b6.js

@@ -1,280 +0,0 @@
-import{w as s,ia as T,v as l,a2 as I,ib as R,ae as V,ic as z,id as j,ie as D,ig as F,ih as G,ii as W,ij as K,aG as H,ik as U,il as Y}from"./index-54a1ea80.js";import{M as Z}from"./MantineProvider-17a58e64.js";var P=String.raw,E=P`
-  :root,
-  :host {
-    --chakra-vh: 100vh;
-  }
-
-  @supports (height: -webkit-fill-available) {
-    :root,
-    :host {
-      --chakra-vh: -webkit-fill-available;
-    }
-  }
-
-  @supports (height: -moz-fill-available) {
-    :root,
-    :host {
-      --chakra-vh: -moz-fill-available;
-    }
-  }
-
-  @supports (height: 100dvh) {
-    :root,
-    :host {
-      --chakra-vh: 100dvh;
-    }
-  }
-`,B=()=>s.jsx(T,{styles:E}),J=({scope:e=""})=>s.jsx(T,{styles:P`
-      html {
-        line-height: 1.5;
-        -webkit-text-size-adjust: 100%;
-        font-family: system-ui, sans-serif;
-        -webkit-font-smoothing: antialiased;
-        text-rendering: optimizeLegibility;
-        -moz-osx-font-smoothing: grayscale;
-        touch-action: manipulation;
-      }
-
-      body {
-        position: relative;
-        min-height: 100%;
-        margin: 0;
-        font-feature-settings: "kern";
-      }
-
-      ${e} :where(*, *::before, *::after) {
-        border-width: 0;
-        border-style: solid;
-        box-sizing: border-box;
-        word-wrap: break-word;
-      }
-
-      main {
-        display: block;
-      }
-
-      ${e} hr {
-        border-top-width: 1px;
-        box-sizing: content-box;
-        height: 0;
-        overflow: visible;
-      }
-
-      ${e} :where(pre, code, kbd,samp) {
-        font-family: SFMono-Regular, Menlo, Monaco, Consolas, monospace;
-        font-size: 1em;
-      }
-
-      ${e} a {
-        background-color: transparent;
-        color: inherit;
-        text-decoration: inherit;
-      }
-
-      ${e} abbr[title] {
-        border-bottom: none;
-        text-decoration: underline;
-        -webkit-text-decoration: underline dotted;
-        text-decoration: underline dotted;
-      }
-
-      ${e} :where(b, strong) {
-        font-weight: bold;
-      }
-
-      ${e} small {
-        font-size: 80%;
-      }
-
-      ${e} :where(sub,sup) {
-        font-size: 75%;
-        line-height: 0;
-        position: relative;
-        vertical-align: baseline;
-      }
-
-      ${e} sub {
-        bottom: -0.25em;
-      }
-
-      ${e} sup {
-        top: -0.5em;
-      }
-
-      ${e} img {
-        border-style: none;
-      }
-
-      ${e} :where(button, input, optgroup, select, textarea) {
-        font-family: inherit;
-        font-size: 100%;
-        line-height: 1.15;
-        margin: 0;
-      }
-
-      ${e} :where(button, input) {
-        overflow: visible;
-      }
-
-      ${e} :where(button, select) {
-        text-transform: none;
-      }
-
-      ${e} :where(
-          button::-moz-focus-inner,
-          [type="button"]::-moz-focus-inner,
-          [type="reset"]::-moz-focus-inner,
-          [type="submit"]::-moz-focus-inner
-        ) {
-        border-style: none;
-        padding: 0;
-      }
-
-      ${e} fieldset {
-        padding: 0.35em 0.75em 0.625em;
-      }
-
-      ${e} legend {
-        box-sizing: border-box;
-        color: inherit;
-        display: table;
-        max-width: 100%;
-        padding: 0;
-        white-space: normal;
-      }
-
-      ${e} progress {
-        vertical-align: baseline;
-      }
-
-      ${e} textarea {
-        overflow: auto;
-      }
-
-      ${e} :where([type="checkbox"], [type="radio"]) {
-        box-sizing: border-box;
-        padding: 0;
-      }
-
-      ${e} input[type="number"]::-webkit-inner-spin-button,
-      ${e} input[type="number"]::-webkit-outer-spin-button {
-        -webkit-appearance: none !important;
-      }
-
-      ${e} input[type="number"] {
-        -moz-appearance: textfield;
-      }
-
-      ${e} input[type="search"] {
-        -webkit-appearance: textfield;
-        outline-offset: -2px;
-      }
-
-      ${e} input[type="search"]::-webkit-search-decoration {
-        -webkit-appearance: none !important;
-      }
-
-      ${e} ::-webkit-file-upload-button {
-        -webkit-appearance: button;
-        font: inherit;
-      }
-
-      ${e} details {
-        display: block;
-      }
-
-      ${e} summary {
-        display: list-item;
-      }
-
-      template {
-        display: none;
-      }
-
-      [hidden] {
-        display: none !important;
-      }
-
-      ${e} :where(
-          blockquote,
-          dl,
-          dd,
-          h1,
-          h2,
-          h3,
-          h4,
-          h5,
-          h6,
-          hr,
-          figure,
-          p,
-          pre
-        ) {
-        margin: 0;
-      }
-
-      ${e} button {
-        background: transparent;
-        padding: 0;
-      }
-
-      ${e} fieldset {
-        margin: 0;
-        padding: 0;
-      }
-
-      ${e} :where(ol, ul) {
-        margin: 0;
-        padding: 0;
-      }
-
-      ${e} textarea {
-        resize: vertical;
-      }
-
-      ${e} :where(button, [role="button"]) {
-        cursor: pointer;
-      }
-
-      ${e} button::-moz-focus-inner {
-        border: 0 !important;
-      }
-
-      ${e} table {
-        border-collapse: collapse;
-      }
-
-      ${e} :where(h1, h2, h3, h4, h5, h6) {
-        font-size: inherit;
-        font-weight: inherit;
-      }
-
-      ${e} :where(button, input, optgroup, select, textarea) {
-        padding: 0;
-        line-height: inherit;
-        color: inherit;
-      }
-
-      ${e} :where(img, svg, video, canvas, audio, iframe, embed, object) {
-        display: block;
-      }
-
-      ${e} :where(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;
-      }
-
-      ${e} select::-ms-expand {
-        display: none;
-      }
-
-      ${E}
-    `}),g={light:"chakra-ui-light",dark:"chakra-ui-dark"};function Q(e={}){const{preventTransition:o=!0}=e,n={setDataset:r=>{const t=o?n.preventTransition():void 0;document.documentElement.dataset.theme=r,document.documentElement.style.colorScheme=r,t==null||t()},setClassName(r){document.body.classList.add(r?g.dark:g.light),document.body.classList.remove(r?g.light:g.dark)},query(){return window.matchMedia("(prefers-color-scheme: dark)")},getSystemTheme(r){var t;return((t=n.query().matches)!=null?t:r==="dark")?"dark":"light"},addListener(r){const t=n.query(),i=a=>{r(a.matches?"dark":"light")};return typeof t.addListener=="function"?t.addListener(i):t.addEventListener("change",i),()=>{typeof t.removeListener=="function"?t.removeListener(i):t.removeEventListener("change",i)}},preventTransition(){const r=document.createElement("style");return r.appendChild(document.createTextNode("*{-webkit-transition:none!important;-moz-transition:none!important;-o-transition:none!important;-ms-transition:none!important;transition:none!important}")),document.head.appendChild(r),()=>{window.getComputedStyle(document.body),requestAnimationFrame(()=>{requestAnimationFrame(()=>{document.head.removeChild(r)})})}}};return n}var X="chakra-ui-color-mode";function L(e){return{ssr:!1,type:"localStorage",get(o){if(!(globalThis!=null&&globalThis.document))return o;let n;try{n=localStorage.getItem(e)||o}catch{}return n||o},set(o){try{localStorage.setItem(e,o)}catch{}}}}var ee=L(X),M=()=>{};function S(e,o){return e.type==="cookie"&&e.ssr?e.get(o):o}function O(e){const{value:o,children:n,options:{useSystemColorMode:r,initialColorMode:t,disableTransitionOnChange:i}={},colorModeManager:a=ee}=e,d=t==="dark"?"dark":"light",[u,p]=l.useState(()=>S(a,d)),[y,b]=l.useState(()=>S(a)),{getSystemTheme:w,setClassName:k,setDataset:x,addListener:$}=l.useMemo(()=>Q({preventTransition:i}),[i]),v=t==="system"&&!u?y:u,c=l.useCallback(h=>{const f=h==="system"?w():h;p(f),k(f==="dark"),x(f),a.set(f)},[a,w,k,x]);I(()=>{t==="system"&&b(w())},[]),l.useEffect(()=>{const h=a.get();if(h){c(h);return}if(t==="system"){c("system");return}c(d)},[a,d,t,c]);const C=l.useCallback(()=>{c(v==="dark"?"light":"dark")},[v,c]);l.useEffect(()=>{if(r)return $(c)},[r,$,c]);const A=l.useMemo(()=>({colorMode:o??v,toggleColorMode:o?M:C,setColorMode:o?M:c,forced:o!==void 0}),[v,C,c,o]);return s.jsx(R.Provider,{value:A,children:n})}O.displayName="ColorModeProvider";var te=["borders","breakpoints","colors","components","config","direction","fonts","fontSizes","fontWeights","letterSpacings","lineHeights","radii","shadows","sizes","space","styles","transition","zIndices"];function re(e){return V(e)?te.every(o=>Object.prototype.hasOwnProperty.call(e,o)):!1}function m(e){return typeof e=="function"}function oe(...e){return o=>e.reduce((n,r)=>r(n),o)}var ne=e=>function(...n){let r=[...n],t=n[n.length-1];return re(t)&&r.length>1?r=r.slice(0,r.length-1):t=e,oe(...r.map(i=>a=>m(i)?i(a):ae(a,i)))(t)},ie=ne(j);function ae(...e){return z({},...e,_)}function _(e,o,n,r){if((m(e)||m(o))&&Object.prototype.hasOwnProperty.call(r,n))return(...t)=>{const i=m(e)?e(...t):e,a=m(o)?o(...t):o;return z({},i,a,_)}}var q=l.createContext({getDocument(){return document},getWindow(){return window}});q.displayName="EnvironmentContext";function N(e){const{children:o,environment:n,disabled:r}=e,t=l.useRef(null),i=l.useMemo(()=>n||{getDocument:()=>{var d,u;return(u=(d=t.current)==null?void 0:d.ownerDocument)!=null?u:document},getWindow:()=>{var d,u;return(u=(d=t.current)==null?void 0:d.ownerDocument.defaultView)!=null?u:window}},[n]),a=!r||!n;return s.jsxs(q.Provider,{value:i,children:[o,a&&s.jsx("span",{id:"__chakra_env",hidden:!0,ref:t})]})}N.displayName="EnvironmentProvider";var se=e=>{const{children:o,colorModeManager:n,portalZIndex:r,resetScope:t,resetCSS:i=!0,theme:a={},environment:d,cssVarsRoot:u,disableEnvironment:p,disableGlobalStyle:y}=e,b=s.jsx(N,{environment:d,disabled:p,children:o});return s.jsx(D,{theme:a,cssVarsRoot:u,children:s.jsxs(O,{colorModeManager:n,options:a.config,children:[i?s.jsx(J,{scope:t}):s.jsx(B,{}),!y&&s.jsx(F,{}),r?s.jsx(G,{zIndex:r,children:b}):b]})})},le=e=>function({children:n,theme:r=e,toastOptions:t,...i}){return s.jsxs(se,{theme:r,...i,children:[s.jsx(W,{value:t==null?void 0:t.defaultOptions,children:n}),s.jsx(K,{...t})]})},de=le(j);const ue=()=>l.useMemo(()=>({colorScheme:"dark",fontFamily:"'Inter Variable', sans-serif",components:{ScrollArea:{defaultProps:{scrollbarSize:10},styles:{scrollbar:{"&:hover":{backgroundColor:"var(--invokeai-colors-baseAlpha-300)"}},thumb:{backgroundColor:"var(--invokeai-colors-baseAlpha-300)"}}}}}),[]),ce=L("@@invokeai-color-mode");function he({children:e}){const{i18n:o}=H(),n=o.dir(),r=l.useMemo(()=>ie({...U,direction:n}),[n]);l.useEffect(()=>{document.body.dir=n},[n]);const t=ue();return s.jsx(Z,{theme:t,children:s.jsx(de,{theme:r,colorModeManager:ce,toastOptions:Y,children:e})})}const ve=l.memo(he);export{ve as default};

invokeai/frontend/web/src/app/store/store.ts

@@ -19,7 +19,7 @@ import sdxlReducer from 'features/sdxl/store/sdxlSlice';
 import configReducer from 'features/system/store/configSlice';
 import systemReducer from 'features/system/store/systemSlice';
 import queueReducer from 'features/queue/store/queueSlice';
-import modelmanagerReducer from 'features/modelManager/store/modelManagerSlice';
+import modelmanagerReducer from 'features/ui/components/tabs/ModelManager/store/modelManagerSlice';
 import hotkeysReducer from 'features/ui/store/hotkeysSlice';
 import uiReducer from 'features/ui/store/uiSlice';
 import dynamicMiddlewares from 'redux-dynamic-middlewares';

invokeai/frontend/web/src/common/components/IAIAlertDialog.tsx

@@ -8,14 +8,7 @@ import {
   forwardRef,
   useDisclosure,
 } from '@chakra-ui/react';
-import {
-  cloneElement,
-  memo,
-  ReactElement,
-  ReactNode,
-  useCallback,
-  useRef,
-} from 'react';
+import { cloneElement, memo, ReactElement, ReactNode, useRef } from 'react';
 import { useTranslation } from 'react-i18next';
 import IAIButton from './IAIButton';
 
@@ -45,15 +38,15 @@ const IAIAlertDialog = forwardRef((props: Props, ref) => {
   const { isOpen, onOpen, onClose } = useDisclosure();
   const cancelRef = useRef<HTMLButtonElement | null>(null);
 
-  const handleAccept = useCallback(() => {
+  const handleAccept = () => {
     acceptCallback();
     onClose();
-  }, [acceptCallback, onClose]);
+  };
 
-  const handleCancel = useCallback(() => {
+  const handleCancel = () => {
     cancelCallback && cancelCallback();
     onClose();
-  }, [cancelCallback, onClose]);
+  };
 
   return (
     <>

invokeai/frontend/web/src/common/components/IAIErrorLoadingImageFallback.tsx

@@ -0,0 +1,43 @@
+import { Box, Flex, Icon } from '@chakra-ui/react';
+import { memo } from 'react';
+import { FaExclamation } from 'react-icons/fa';
+
+const IAIErrorLoadingImageFallback = () => {
+  return (
+    <Box
+      sx={{
+        position: 'relative',
+        height: 'full',
+        width: 'full',
+        '::before': {
+          content: "''",
+          display: 'block',
+          pt: '100%',
+        },
+      }}
+    >
+      <Flex
+        sx={{
+          position: 'absolute',
+          top: 0,
+          insetInlineStart: 0,
+          height: 'full',
+          width: 'full',
+          alignItems: 'center',
+          justifyContent: 'center',
+          borderRadius: 'base',
+          bg: 'base.100',
+          color: 'base.500',
+          _dark: {
+            color: 'base.700',
+            bg: 'base.850',
+          },
+        }}
+      >
+        <Icon as={FaExclamation} boxSize={16} opacity={0.7} />
+      </Flex>
+    </Box>
+  );
+};
+
+export default memo(IAIErrorLoadingImageFallback);

invokeai/frontend/web/src/common/components/IAIForm.tsx

@@ -0,0 +1,8 @@
+import { chakra } from '@chakra-ui/react';
+
+/**
+ * Chakra-enabled <form />
+ */
+const IAIForm = chakra.form;
+
+export default IAIForm;

invokeai/frontend/web/src/common/components/IAIForms/IAIFormErrorMessage.tsx

@@ -0,0 +1,15 @@
+import { FormErrorMessage, FormErrorMessageProps } from '@chakra-ui/react';
+import { ReactNode } from 'react';
+
+type IAIFormErrorMessageProps = FormErrorMessageProps & {
+  children: ReactNode | string;
+};
+
+export default function IAIFormErrorMessage(props: IAIFormErrorMessageProps) {
+  const { children, ...rest } = props;
+  return (
+    <FormErrorMessage color="error.400" {...rest}>
+      {children}
+    </FormErrorMessage>
+  );
+}

invokeai/frontend/web/src/common/components/IAIForms/IAIFormHelperText.tsx

@@ -0,0 +1,15 @@
+import { FormHelperText, FormHelperTextProps } from '@chakra-ui/react';
+import { ReactNode } from 'react';
+
+type IAIFormHelperTextProps = FormHelperTextProps & {
+  children: ReactNode | string;
+};
+
+export default function IAIFormHelperText(props: IAIFormHelperTextProps) {
+  const { children, ...rest } = props;
+  return (
+    <FormHelperText margin={0} color="base.400" {...rest}>
+      {children}
+    </FormHelperText>
+  );
+}

invokeai/frontend/web/src/common/components/IAIForms/IAIFormItemWrapper.tsx

@@ -0,0 +1,25 @@
+import { Flex, useColorMode } from '@chakra-ui/react';
+import { ReactElement } from 'react';
+import { mode } from 'theme/util/mode';
+
+export function IAIFormItemWrapper({
+  children,
+}: {
+  children: ReactElement | ReactElement[];
+}) {
+  const { colorMode } = useColorMode();
+  return (
+    <Flex
+      sx={{
+        flexDirection: 'column',
+        padding: 4,
+        rowGap: 4,
+        borderRadius: 'base',
+        width: 'full',
+        bg: mode('base.100', 'base.900')(colorMode),
+      }}
+    >
+      {children}
+    </Flex>
+  );
+}

invokeai/frontend/web/src/common/components/IAIFullCheckbox.tsx

@@ -0,0 +1,25 @@
+import {
+  Checkbox,
+  CheckboxProps,
+  FormControl,
+  FormControlProps,
+  FormLabel,
+} from '@chakra-ui/react';
+import { memo, ReactNode } from 'react';
+
+type IAIFullCheckboxProps = CheckboxProps & {
+  label: string | ReactNode;
+  formControlProps?: FormControlProps;
+};
+
+const IAIFullCheckbox = (props: IAIFullCheckboxProps) => {
+  const { label, formControlProps, ...rest } = props;
+  return (
+    <FormControl {...formControlProps}>
+      <FormLabel>{label}</FormLabel>
+      <Checkbox colorScheme="accent" {...rest} />
+    </FormControl>
+  );
+};
+
+export default memo(IAIFullCheckbox);

invokeai/frontend/web/src/common/components/IAIMantineInput.tsx

@@ -1,7 +1,6 @@
 import { useColorMode } from '@chakra-ui/react';
 import { TextInput, TextInputProps } from '@mantine/core';
 import { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens';
-import { useCallback } from 'react';
 import { mode } from 'theme/util/mode';
 
 type IAIMantineTextInputProps = TextInputProps;
@@ -21,37 +20,26 @@ export default function IAIMantineTextInput(props: IAIMantineTextInputProps) {
   } = useChakraThemeTokens();
   const { colorMode } = useColorMode();
 
-  const stylesFunc = useCallback(
-    () => ({
-      input: {
-        color: mode(base900, base100)(colorMode),
-        backgroundColor: mode(base50, base900)(colorMode),
-        borderColor: mode(base200, base800)(colorMode),
-        borderWidth: 2,
-        outline: 'none',
-        ':focus': {
-          borderColor: mode(accent300, accent500)(colorMode),
+  return (
+    <TextInput
+      styles={() => ({
+        input: {
+          color: mode(base900, base100)(colorMode),
+          backgroundColor: mode(base50, base900)(colorMode),
+          borderColor: mode(base200, base800)(colorMode),
+          borderWidth: 2,
+          outline: 'none',
+          ':focus': {
+            borderColor: mode(accent300, accent500)(colorMode),
+          },
         },
-      },
-      label: {
-        color: mode(base700, base300)(colorMode),
-        fontWeight: 'normal' as const,
-        marginBottom: 4,
-      },
-    }),
-    [
-      accent300,
-      accent500,
-      base100,
-      base200,
-      base300,
-      base50,
-      base700,
-      base800,
-      base900,
-      colorMode,
-    ]
+        label: {
+          color: mode(base700, base300)(colorMode),
+          fontWeight: 'normal',
+          marginBottom: 4,
+        },
+      })}
+      {...rest}
+    />
   );
-
-  return <TextInput styles={stylesFunc} {...rest} />;
 }

invokeai/frontend/web/src/common/components/IAINumberInput.tsx

@@ -98,34 +98,28 @@ const IAINumberInput = forwardRef((props: Props, ref) => {
     }
   }, [value, valueAsString]);
 
-  const handleOnChange = useCallback(
-    (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));
-      }
-    },
-    [isInteger, onChange]
-  );
+  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 = useCallback(
-    (e: FocusEvent<HTMLInputElement>) => {
-      const clamped = clamp(
-        isInteger ? Math.floor(Number(e.target.value)) : Number(e.target.value),
-        min,
-        max
-      );
-      setValueAsString(String(clamped));
-      onChange(clamped);
-    },
-    [isInteger, max, min, onChange]
-  );
+  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);
+  };
 
   const handleKeyDown = useCallback(
     (e: KeyboardEvent<HTMLInputElement>) => {

invokeai/frontend/web/src/common/components/IAISelect.tsx

@@ -6,7 +6,7 @@ import {
   Tooltip,
   TooltipProps,
 } from '@chakra-ui/react';
-import { memo, MouseEvent, useCallback } from 'react';
+import { memo, MouseEvent } from 'react';
 import IAIOption from './IAIOption';
 
 type IAISelectProps = SelectProps & {
@@ -33,16 +33,15 @@ const IAISelect = (props: IAISelectProps) => {
     spaceEvenly,
     ...rest
   } = props;
-  const handleClick = useCallback((e: MouseEvent<HTMLDivElement>) => {
-    e.stopPropagation();
-    e.nativeEvent.stopImmediatePropagation();
-    e.nativeEvent.stopPropagation();
-    e.nativeEvent.cancelBubble = true;
-  }, []);
   return (
     <FormControl
       isDisabled={isDisabled}
-      onClick={handleClick}
+      onClick={(e: MouseEvent<HTMLDivElement>) => {
+        e.stopPropagation();
+        e.nativeEvent.stopImmediatePropagation();
+        e.nativeEvent.stopPropagation();
+        e.nativeEvent.cancelBubble = true;
+      }}
       sx={
         horizontal
           ? {

invokeai/frontend/web/src/common/components/IAISlider.tsx

@@ -186,13 +186,6 @@ const IAISlider = forwardRef((props: IAIFullSliderProps, ref) => {
     [dispatch]
   );
 
-  const handleMouseEnter = useCallback(() => setShowTooltip(true), []);
-  const handleMouseLeave = useCallback(() => setShowTooltip(false), []);
-  const handleStepperClick = useCallback(
-    () => onChange(Number(localInputValue)),
-    [localInputValue, onChange]
-  );
-
   return (
     <FormControl
       ref={ref}
@@ -226,8 +219,8 @@ const IAISlider = forwardRef((props: IAIFullSliderProps, ref) => {
           max={max}
           step={step}
           onChange={handleSliderChange}
-          onMouseEnter={handleMouseEnter}
-          onMouseLeave={handleMouseLeave}
+          onMouseEnter={() => setShowTooltip(true)}
+          onMouseLeave={() => setShowTooltip(false)}
           focusThumbOnChange={false}
           isDisabled={isDisabled}
           {...rest}
@@ -339,8 +332,12 @@ const IAISlider = forwardRef((props: IAIFullSliderProps, ref) => {
               {...sliderNumberInputFieldProps}
             />
             <NumberInputStepper {...sliderNumberInputStepperProps}>
-              <NumberIncrementStepper onClick={handleStepperClick} />
-              <NumberDecrementStepper onClick={handleStepperClick} />
+              <NumberIncrementStepper
+                onClick={() => onChange(Number(localInputValue))}
+              />
+              <NumberDecrementStepper
+                onClick={() => onChange(Number(localInputValue))}
+              />
             </NumberInputStepper>
           </NumberInput>
         )}

invokeai/frontend/web/src/common/components/ImageUploader.tsx

@@ -146,15 +146,16 @@ const ImageUploader = (props: ImageUploaderProps) => {
     };
   }, [inputRef]);
 
-  const handleKeyDown = useCallback((e: KeyboardEvent) => {
-    // Bail out if user hits spacebar - do not open the uploader
-    if (e.key === ' ') {
-      return;
-    }
-  }, []);
-
   return (
-    <Box {...getRootProps({ style: {} })} onKeyDown={handleKeyDown}>
+    <Box
+      {...getRootProps({ style: {} })}
+      onKeyDown={(e: KeyboardEvent) => {
+        // Bail out if user hits spacebar - do not open the uploader
+        if (e.key === ' ') {
+          return;
+        }
+      }}
+    >
       <input {...getInputProps()} />
       {children}
       <AnimatePresence>

invokeai/frontend/web/src/common/components/SelectImagePlaceholder.tsx

@@ -0,0 +1,23 @@
+import { Flex, Icon } from '@chakra-ui/react';
+import { memo } from 'react';
+import { FaImage } from 'react-icons/fa';
+
+const SelectImagePlaceholder = () => {
+  return (
+    <Flex
+      sx={{
+        w: 'full',
+        h: 'full',
+        // bg: 'base.800',
+        borderRadius: 'base',
+        alignItems: 'center',
+        justifyContent: 'center',
+        aspectRatio: '1/1',
+      }}
+    >
+      <Icon color="base.400" boxSize={32} as={FaImage}></Icon>
+    </Flex>
+  );
+};
+
+export default memo(SelectImagePlaceholder);

invokeai/frontend/web/src/common/hooks/useResolution.ts

@@ -0,0 +1,24 @@
+import { useBreakpoint } from '@chakra-ui/react';
+
+export default function useResolution():
+  | 'mobile'
+  | 'tablet'
+  | 'desktop'
+  | 'unknown' {
+  const breakpointValue = useBreakpoint();
+
+  const mobileResolutions = ['base', 'sm'];
+  const tabletResolutions = ['md', 'lg'];
+  const desktopResolutions = ['xl', '2xl'];
+
+  if (mobileResolutions.includes(breakpointValue)) {
+    return 'mobile';
+  }
+  if (tabletResolutions.includes(breakpointValue)) {
+    return 'tablet';
+  }
+  if (desktopResolutions.includes(breakpointValue)) {
+    return 'desktop';
+  }
+  return 'unknown';
+}

invokeai/frontend/web/src/common/util/getTimestamp.ts

@@ -0,0 +1,7 @@
+import dateFormat from 'dateformat';
+
+/**
+ * Get a `now` timestamp with 1s precision, formatted as ISO datetime.
+ */
+export const getTimestamp = () =>
+  dateFormat(new Date(), `yyyy-mm-dd'T'HH:MM:ss:lo`);

invokeai/frontend/web/src/common/util/seedWeightPairs.ts

@@ -0,0 +1,71 @@
+// TODO: Restore variations
+// Support code from v2.3 in here.
+
+// export const stringToSeedWeights = (
+//   string: string
+// ): InvokeAI.SeedWeights | boolean => {
+//   const stringPairs = string.split(',');
+//   const arrPairs = stringPairs.map((p) => p.split(':'));
+//   const pairs = arrPairs.map((p: Array<string>): InvokeAI.SeedWeightPair => {
+//     return { seed: Number(p[0]), weight: Number(p[1]) };
+//   });
+
+//   if (!validateSeedWeights(pairs)) {
+//     return false;
+//   }
+
+//   return pairs;
+// };
+
+// export const validateSeedWeights = (
+//   seedWeights: InvokeAI.SeedWeights | string
+// ): boolean => {
+//   return typeof seedWeights === 'string'
+//     ? Boolean(stringToSeedWeights(seedWeights))
+//     : Boolean(
+//         seedWeights.length &&
+//           !seedWeights.some((pair: InvokeAI.SeedWeightPair) => {
+//             const { seed, weight } = pair;
+//             const isSeedValid = !isNaN(parseInt(seed.toString(), 10));
+//             const isWeightValid =
+//               !isNaN(parseInt(weight.toString(), 10)) &&
+//               weight >= 0 &&
+//               weight <= 1;
+//             return !(isSeedValid && isWeightValid);
+//           })
+//       );
+// };
+
+// export const seedWeightsToString = (
+//   seedWeights: InvokeAI.SeedWeights
+// ): string => {
+//   return seedWeights.reduce((acc, pair, i, arr) => {
+//     const { seed, weight } = pair;
+//     acc += `${seed}:${weight}`;
+//     if (i !== arr.length - 1) {
+//       acc += ',';
+//     }
+//     return acc;
+//   }, '');
+// };
+
+// export const seedWeightsToArray = (
+//   seedWeights: InvokeAI.SeedWeights
+// ): Array<Array<number>> => {
+//   return seedWeights.map((pair: InvokeAI.SeedWeightPair) => [
+//     pair.seed,
+//     pair.weight,
+//   ]);
+// };
+
+// export const stringToSeedWeightsArray = (
+//   string: string
+// ): Array<Array<number>> => {
+//   const stringPairs = string.split(',');
+//   const arrPairs = stringPairs.map((p) => p.split(':'));
+//   return arrPairs.map(
+//     (p: Array<string>): Array<number> => [parseInt(p[0], 10), parseFloat(p[1])]
+//   );
+// };
+
+export default {};

invokeai/frontend/web/src/features/canvas/components/ClearCanvasHistoryButtonModal.tsx

@@ -5,22 +5,17 @@ import { clearCanvasHistory } from 'features/canvas/store/canvasSlice';
 import { useTranslation } from 'react-i18next';
 import { FaTrash } from 'react-icons/fa';
 import { isStagingSelector } from '../store/canvasSelectors';
-import { memo, useCallback } from 'react';
+import { memo } from 'react';
 
 const ClearCanvasHistoryButtonModal = () => {
   const isStaging = useAppSelector(isStagingSelector);
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
-  const acceptCallback = useCallback(
-    () => dispatch(clearCanvasHistory()),
-    [dispatch]
-  );
-
   return (
     <IAIAlertDialog
       title={t('unifiedCanvas.clearCanvasHistory')}
-      acceptCallback={acceptCallback}
+      acceptCallback={() => dispatch(clearCanvasHistory())}
       acceptButtonText={t('unifiedCanvas.clearHistory')}
       triggerComponent={
         <IAIButton size="sm" leftIcon={<FaTrash />} isDisabled={isStaging}>

invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx

@@ -20,8 +20,7 @@ import {
 } from 'features/canvas/store/canvasSlice';
 import { rgbaColorToString } from 'features/canvas/util/colorToString';
 import { isEqual } from 'lodash-es';
-import { ChangeEvent, memo, useCallback } from 'react';
-import { RgbaColor } from 'react-colorful';
+import { memo } from 'react';
 
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
@@ -96,35 +95,18 @@ const IAICanvasMaskOptions = () => {
     [isMaskEnabled]
   );
 
-  const handleToggleMaskLayer = useCallback(() => {
+  const handleToggleMaskLayer = () => {
     dispatch(setLayer(layer === 'mask' ? 'base' : 'mask'));
-  }, [dispatch, layer]);
+  };
 
-  const handleClearMask = useCallback(() => {
-    dispatch(clearMask());
-  }, [dispatch]);
+  const handleClearMask = () => dispatch(clearMask());
 
-  const handleToggleEnableMask = useCallback(() => {
+  const handleToggleEnableMask = () =>
     dispatch(setIsMaskEnabled(!isMaskEnabled));
-  }, [dispatch, isMaskEnabled]);
 
-  const handleSaveMask = useCallback(async () => {
+  const handleSaveMask = async () => {
     dispatch(canvasMaskSavedToGallery());
-  }, [dispatch]);
-
-  const handleChangePreserveMaskedArea = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) => {
-      dispatch(setShouldPreserveMaskedArea(e.target.checked));
-    },
-    [dispatch]
-  );
-
-  const handleChangeMaskColor = useCallback(
-    (newColor: RgbaColor) => {
-      dispatch(setMaskColor(newColor));
-    },
-    [dispatch]
-  );
+  };
 
   return (
     <IAIPopover
@@ -149,10 +131,15 @@ const IAICanvasMaskOptions = () => {
         <IAISimpleCheckbox
           label={t('unifiedCanvas.preserveMaskedArea')}
           isChecked={shouldPreserveMaskedArea}
-          onChange={handleChangePreserveMaskedArea}
+          onChange={(e) =>
+            dispatch(setShouldPreserveMaskedArea(e.target.checked))
+          }
         />
         <Box sx={{ paddingTop: 2, paddingBottom: 2 }}>
-          <IAIColorPicker color={maskColor} onChange={handleChangeMaskColor} />
+          <IAIColorPicker
+            color={maskColor}
+            onChange={(newColor) => dispatch(setMaskColor(newColor))}
+          />
         </Box>
         <IAIButton size="sm" leftIcon={<FaSave />} onClick={handleSaveMask}>
           Save Mask

invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasRedoButton.tsx

@@ -10,7 +10,6 @@ import { redo } from 'features/canvas/store/canvasSlice';
 import { stateSelector } from 'app/store/store';
 import { isEqual } from 'lodash-es';
 import { useTranslation } from 'react-i18next';
-import { useCallback } from 'react';
 
 const canvasRedoSelector = createSelector(
   [stateSelector, activeTabNameSelector],
@@ -35,9 +34,9 @@ export default function IAICanvasRedoButton() {
 
   const { t } = useTranslation();
 
-  const handleRedo = useCallback(() => {
+  const handleRedo = () => {
     dispatch(redo());
-  }, [dispatch]);
+  };
 
   useHotkeys(
     ['meta+shift+z', 'ctrl+shift+z', 'control+y', 'meta+y'],

invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasSettingsButtonPopover.tsx

@@ -18,7 +18,7 @@ import {
 } from 'features/canvas/store/canvasSlice';
 import { isEqual } from 'lodash-es';
 
-import { ChangeEvent, memo, useCallback } from 'react';
+import { ChangeEvent, memo } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import { FaWrench } from 'react-icons/fa';
@@ -86,52 +86,8 @@ const IAICanvasSettingsButtonPopover = () => {
     [shouldSnapToGrid]
   );
 
-  const handleChangeShouldSnapToGrid = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldSnapToGrid(e.target.checked)),
-    [dispatch]
-  );
-
-  const handleChangeShouldShowIntermediates = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldShowIntermediates(e.target.checked)),
-    [dispatch]
-  );
-  const handleChangeShouldShowGrid = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldShowGrid(e.target.checked)),
-    [dispatch]
-  );
-  const handleChangeShouldDarkenOutsideBoundingBox = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldDarkenOutsideBoundingBox(e.target.checked)),
-    [dispatch]
-  );
-  const handleChangeShouldAutoSave = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldAutoSave(e.target.checked)),
-    [dispatch]
-  );
-  const handleChangeShouldCropToBoundingBoxOnSave = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldCropToBoundingBoxOnSave(e.target.checked)),
-    [dispatch]
-  );
-  const handleChangeShouldRestrictStrokesToBox = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldRestrictStrokesToBox(e.target.checked)),
-    [dispatch]
-  );
-  const handleChangeShouldShowCanvasDebugInfo = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldShowCanvasDebugInfo(e.target.checked)),
-    [dispatch]
-  );
-  const handleChangeShouldAntialias = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(setShouldAntialias(e.target.checked)),
-    [dispatch]
-  );
+  const handleChangeShouldSnapToGrid = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldSnapToGrid(e.target.checked));
 
   return (
     <IAIPopover
@@ -148,12 +104,14 @@ const IAICanvasSettingsButtonPopover = () => {
         <IAISimpleCheckbox
           label={t('unifiedCanvas.showIntermediates')}
           isChecked={shouldShowIntermediates}
-          onChange={handleChangeShouldShowIntermediates}
+          onChange={(e) =>
+            dispatch(setShouldShowIntermediates(e.target.checked))
+          }
         />
         <IAISimpleCheckbox
           label={t('unifiedCanvas.showGrid')}
           isChecked={shouldShowGrid}
-          onChange={handleChangeShouldShowGrid}
+          onChange={(e) => dispatch(setShouldShowGrid(e.target.checked))}
         />
         <IAISimpleCheckbox
           label={t('unifiedCanvas.snapToGrid')}
@@ -163,33 +121,41 @@ const IAICanvasSettingsButtonPopover = () => {
         <IAISimpleCheckbox
           label={t('unifiedCanvas.darkenOutsideSelection')}
           isChecked={shouldDarkenOutsideBoundingBox}
-          onChange={handleChangeShouldDarkenOutsideBoundingBox}
+          onChange={(e) =>
+            dispatch(setShouldDarkenOutsideBoundingBox(e.target.checked))
+          }
         />
         <IAISimpleCheckbox
           label={t('unifiedCanvas.autoSaveToGallery')}
           isChecked={shouldAutoSave}
-          onChange={handleChangeShouldAutoSave}
+          onChange={(e) => dispatch(setShouldAutoSave(e.target.checked))}
         />
         <IAISimpleCheckbox
           label={t('unifiedCanvas.saveBoxRegionOnly')}
           isChecked={shouldCropToBoundingBoxOnSave}
-          onChange={handleChangeShouldCropToBoundingBoxOnSave}
+          onChange={(e) =>
+            dispatch(setShouldCropToBoundingBoxOnSave(e.target.checked))
+          }
         />
         <IAISimpleCheckbox
           label={t('unifiedCanvas.limitStrokesToBox')}
           isChecked={shouldRestrictStrokesToBox}
-          onChange={handleChangeShouldRestrictStrokesToBox}
+          onChange={(e) =>
+            dispatch(setShouldRestrictStrokesToBox(e.target.checked))
+          }
         />
         <IAISimpleCheckbox
           label={t('unifiedCanvas.showCanvasDebugInfo')}
           isChecked={shouldShowCanvasDebugInfo}
-          onChange={handleChangeShouldShowCanvasDebugInfo}
+          onChange={(e) =>
+            dispatch(setShouldShowCanvasDebugInfo(e.target.checked))
+          }
         />
 
         <IAISimpleCheckbox
           label={t('unifiedCanvas.antialiasing')}
           isChecked={shouldAntialias}
-          onChange={handleChangeShouldAntialias}
+          onChange={(e) => dispatch(setShouldAntialias(e.target.checked))}
         />
         <ClearCanvasHistoryButtonModal />
       </Flex>

invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolChooserOptions.tsx

@@ -15,8 +15,7 @@ import {
   setTool,
 } from 'features/canvas/store/canvasSlice';
 import { clamp, isEqual } from 'lodash-es';
-import { memo, useCallback } from 'react';
-import { RgbaColor } from 'react-colorful';
+import { memo } from 'react';
 
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
@@ -173,33 +172,11 @@ const IAICanvasToolChooserOptions = () => {
     [brushColor]
   );
 
-  const handleSelectBrushTool = useCallback(() => {
-    dispatch(setTool('brush'));
-  }, [dispatch]);
-  const handleSelectEraserTool = useCallback(() => {
-    dispatch(setTool('eraser'));
-  }, [dispatch]);
-  const handleSelectColorPickerTool = useCallback(() => {
-    dispatch(setTool('colorPicker'));
-  }, [dispatch]);
-  const handleFillRect = useCallback(() => {
-    dispatch(addFillRect());
-  }, [dispatch]);
-  const handleEraseBoundingBox = useCallback(() => {
-    dispatch(addEraseRect());
-  }, [dispatch]);
-  const handleChangeBrushSize = useCallback(
-    (newSize: number) => {
-      dispatch(setBrushSize(newSize));
-    },
-    [dispatch]
-  );
-  const handleChangeBrushColor = useCallback(
-    (newColor: RgbaColor) => {
-      dispatch(setBrushColor(newColor));
-    },
-    [dispatch]
-  );
+  const handleSelectBrushTool = () => dispatch(setTool('brush'));
+  const handleSelectEraserTool = () => dispatch(setTool('eraser'));
+  const handleSelectColorPickerTool = () => dispatch(setTool('colorPicker'));
+  const handleFillRect = () => dispatch(addFillRect());
+  const handleEraseBoundingBox = () => dispatch(addEraseRect());
 
   return (
     <ButtonGroup isAttached>
@@ -256,7 +233,7 @@ const IAICanvasToolChooserOptions = () => {
               label={t('unifiedCanvas.brushSize')}
               value={brushSize}
               withInput
-              onChange={handleChangeBrushSize}
+              onChange={(newSize) => dispatch(setBrushSize(newSize))}
               sliderNumberInputProps={{ max: 500 }}
             />
           </Flex>
@@ -270,7 +247,7 @@ const IAICanvasToolChooserOptions = () => {
             <IAIColorPicker
               withNumberInput={true}
               color={brushColor}
-              onChange={handleChangeBrushColor}
+              onChange={(newColor) => dispatch(setBrushColor(newColor))}
             />
           </Box>
         </Flex>

invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx

@@ -25,9 +25,9 @@ import {
   LAYER_NAMES_DICT,
 } from 'features/canvas/store/canvasTypes';
 import { getCanvasBaseLayer } from 'features/canvas/util/konvaInstanceProvider';
-import { useCopyImageToClipboard } from 'common/hooks/useCopyImageToClipboard';
+import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard';
 import { isEqual } from 'lodash-es';
-import { memo, useCallback } from 'react';
+import { memo } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import {
@@ -151,9 +151,7 @@ const IAICanvasToolbar = () => {
     [canvasBaseLayer]
   );
 
-  const handleSelectMoveTool = useCallback(() => {
-    dispatch(setTool('move'));
-  }, [dispatch]);
+  const handleSelectMoveTool = () => dispatch(setTool('move'));
 
   const handleClickResetCanvasView = useSingleAndDoubleClick(
     () => handleResetCanvasView(false),
@@ -176,39 +174,36 @@ const IAICanvasToolbar = () => {
     );
   };
 
-  const handleResetCanvas = useCallback(() => {
+  const handleResetCanvas = () => {
     dispatch(resetCanvas());
-  }, [dispatch]);
+  };
 
-  const handleMergeVisible = useCallback(() => {
+  const handleMergeVisible = () => {
     dispatch(canvasMerged());
-  }, [dispatch]);
+  };
 
-  const handleSaveToGallery = useCallback(() => {
+  const handleSaveToGallery = () => {
     dispatch(canvasSavedToGallery());
-  }, [dispatch]);
+  };
 
-  const handleCopyImageToClipboard = useCallback(() => {
+  const handleCopyImageToClipboard = () => {
     if (!isClipboardAPIAvailable) {
       return;
     }
     dispatch(canvasCopiedToClipboard());
-  }, [dispatch, isClipboardAPIAvailable]);
+  };
 
-  const handleDownloadAsImage = useCallback(() => {
+  const handleDownloadAsImage = () => {
     dispatch(canvasDownloadedAsImage());
-  }, [dispatch]);
+  };
 
-  const handleChangeLayer = useCallback(
-    (v: string) => {
-      const newLayer = v as CanvasLayer;
-      dispatch(setLayer(newLayer));
-      if (newLayer === 'mask' && !isMaskEnabled) {
-        dispatch(setIsMaskEnabled(true));
-      }
-    },
-    [dispatch, isMaskEnabled]
-  );
+  const handleChangeLayer = (v: string) => {
+    const newLayer = v as CanvasLayer;
+    dispatch(setLayer(newLayer));
+    if (newLayer === 'mask' && !isMaskEnabled) {
+      dispatch(setIsMaskEnabled(true));
+    }
+  };
 
   return (
     <Flex

invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasUndoButton.tsx

@@ -10,7 +10,6 @@ import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { isEqual } from 'lodash-es';
 import { useTranslation } from 'react-i18next';
 import { stateSelector } from 'app/store/store';
-import { useCallback } from 'react';
 
 const canvasUndoSelector = createSelector(
   [stateSelector, activeTabNameSelector],
@@ -36,9 +35,9 @@ export default function IAICanvasUndoButton() {
 
   const { canUndo, activeTabName } = useAppSelector(canvasUndoSelector);
 
-  const handleUndo = useCallback(() => {
+  const handleUndo = () => {
     dispatch(undo());
-  }, [dispatch]);
+  };
 
   useHotkeys(
     ['meta+z', 'ctrl+z'],

invokeai/frontend/web/src/features/canvas/util/konvaNodeToDataURL.ts

@@ -0,0 +1,16 @@
+import Konva from 'konva';
+import { IRect } from 'konva/lib/types';
+
+/**
+ * Converts a Konva node to a dataURL
+ * @param node - The Konva node to convert to a dataURL
+ * @param boundingBox - The bounding box to crop to
+ * @returns A dataURL of the node cropped to the bounding box
+ */
+export const konvaNodeToDataURL = (
+  node: Konva.Node,
+  boundingBox: IRect
+): string => {
+  // get a dataURL of the bbox'd region
+  return node.toDataURL(boundingBox);
+};

invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx

@@ -87,11 +87,6 @@ const ChangeBoardModal = () => {
     selectedBoard,
   ]);
 
-  const handleSetSelectedBoard = useCallback(
-    (v: string | null) => setSelectedBoard(v),
-    []
-  );
-
   const cancelRef = useRef<HTMLButtonElement>(null);
 
   return (
@@ -118,7 +113,7 @@ const ChangeBoardModal = () => {
                   isFetching ? t('boards.loading') : t('boards.selectBoard')
                 }
                 disabled={isFetching}
-                onChange={handleSetSelectedBoard}
+                onChange={(v) => setSelectedBoard(v)}
                 value={selectedBoard}
                 data={data}
               />

invokeai/frontend/web/src/features/controlAdapters/components/ControlAdapterPreprocessButton.tsx

@@ -0,0 +1,36 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIButton from 'common/components/IAIButton';
+import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue';
+import { memo, useCallback } from 'react';
+import { useControlAdapterControlImage } from '../hooks/useControlAdapterControlImage';
+import { controlAdapterImageProcessed } from '../store/actions';
+
+type Props = {
+  id: string;
+};
+
+const ControlAdapterPreprocessButton = ({ id }: Props) => {
+  const controlImage = useControlAdapterControlImage(id);
+  const dispatch = useAppDispatch();
+  const isReady = useIsReadyToEnqueue();
+
+  const handleProcess = useCallback(() => {
+    dispatch(
+      controlAdapterImageProcessed({
+        id,
+      })
+    );
+  }, [id, dispatch]);
+
+  return (
+    <IAIButton
+      size="sm"
+      onClick={handleProcess}
+      isDisabled={Boolean(!controlImage) || !isReady}
+    >
+      Preprocess
+    </IAIButton>
+  );
+};
+
+export default memo(ControlAdapterPreprocessButton);

invokeai/frontend/web/src/features/dynamicPrompts/store/selectors.ts

@@ -0,0 +1 @@
+//

invokeai/frontend/web/src/features/embedding/components/ParamEmbeddingPopover.tsx

@@ -14,9 +14,9 @@ import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectI
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { forEach } from 'lodash-es';
 import { PropsWithChildren, memo, useCallback, useMemo, useRef } from 'react';
-import { useTranslation } from 'react-i18next';
 import { useGetTextualInversionModelsQuery } from 'services/api/endpoints/models';
 import { PARAMETERS_PANEL_WIDTH } from 'theme/util/constants';
+import { useTranslation } from 'react-i18next';
 
 type Props = PropsWithChildren & {
   onSelect: (v: string) => void;
@@ -78,13 +78,6 @@ const ParamEmbeddingPopover = (props: Props) => {
     [onSelect]
   );
 
-  const filterFunc = useCallback(
-    (value: string, item: SelectItem) =>
-      item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
-      item.value.toLowerCase().includes(value.toLowerCase().trim()),
-    []
-  );
-
   return (
     <Popover
       initialFocusRef={inputRef}
@@ -134,7 +127,12 @@ const ParamEmbeddingPopover = (props: Props) => {
               itemComponent={IAIMantineSelectItemWithTooltip}
               disabled={data.length === 0}
               onDropdownClose={onClose}
-              filter={filterFunc}
+              filter={(value, item: SelectItem) =>
+                item.label
+                  ?.toLowerCase()
+                  .includes(value.toLowerCase().trim()) ||
+                item.value.toLowerCase().includes(value.toLowerCase().trim())
+              }
               onChange={handleChange}
             />
           )}

invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx

@@ -60,13 +60,6 @@ const BoardAutoAddSelect = () => {
     [dispatch]
   );
 
-  const filterFunc = useCallback(
-    (value: string, item: SelectItem) =>
-      item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
-      item.value.toLowerCase().includes(value.toLowerCase().trim()),
-    []
-  );
-
   return (
     <IAIMantineSearchableSelect
       label={t('boards.autoAddBoard')}
@@ -78,7 +71,10 @@ const BoardAutoAddSelect = () => {
       nothingFound={t('boards.noMatching')}
       itemComponent={IAIMantineSelectItemWithTooltip}
       disabled={!hasBoards || autoAssignBoardOnClick}
-      filter={filterFunc}
+      filter={(value, item: SelectItem) =>
+        item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
+        item.value.toLowerCase().includes(value.toLowerCase().trim())
+      }
       onChange={handleChange}
     />
   );

invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx

@@ -90,50 +90,6 @@ const BoardContextMenu = ({
     e.preventDefault();
   }, []);
 
-  const renderMenuFunc = useCallback(
-    () => (
-      <MenuList
-        sx={{ visibility: 'visible !important' }}
-        motionProps={menuListMotionProps}
-        onContextMenu={skipEvent}
-      >
-        <MenuGroup title={boardName}>
-          <MenuItem
-            icon={<FaPlus />}
-            isDisabled={isAutoAdd || autoAssignBoardOnClick}
-            onClick={handleSetAutoAdd}
-          >
-            {t('boards.menuItemAutoAdd')}
-          </MenuItem>
-          {isBulkDownloadEnabled && (
-            <MenuItem icon={<FaDownload />} onClickCapture={handleBulkDownload}>
-              {t('boards.downloadBoard')}
-            </MenuItem>
-          )}
-          {!board && <NoBoardContextMenuItems />}
-          {board && (
-            <GalleryBoardContextMenuItems
-              board={board}
-              setBoardToDelete={setBoardToDelete}
-            />
-          )}
-        </MenuGroup>
-      </MenuList>
-    ),
-    [
-      autoAssignBoardOnClick,
-      board,
-      boardName,
-      handleBulkDownload,
-      handleSetAutoAdd,
-      isAutoAdd,
-      isBulkDownloadEnabled,
-      setBoardToDelete,
-      skipEvent,
-      t,
-    ]
-  );
-
   return (
     <IAIContextMenu<HTMLDivElement>
       menuProps={{ size: 'sm', isLazy: true }}
@@ -141,7 +97,38 @@ const BoardContextMenu = ({
         bg: 'transparent',
         _hover: { bg: 'transparent' },
       }}
-      renderMenu={renderMenuFunc}
+      renderMenu={() => (
+        <MenuList
+          sx={{ visibility: 'visible !important' }}
+          motionProps={menuListMotionProps}
+          onContextMenu={skipEvent}
+        >
+          <MenuGroup title={boardName}>
+            <MenuItem
+              icon={<FaPlus />}
+              isDisabled={isAutoAdd || autoAssignBoardOnClick}
+              onClick={handleSetAutoAdd}
+            >
+              {t('boards.menuItemAutoAdd')}
+            </MenuItem>
+            {isBulkDownloadEnabled && (
+              <MenuItem
+                icon={<FaDownload />}
+                onClickCapture={handleBulkDownload}
+              >
+                {t('boards.downloadBoard')}
+              </MenuItem>
+            )}
+            {!board && <NoBoardContextMenuItems />}
+            {board && (
+              <GalleryBoardContextMenuItems
+                board={board}
+                setBoardToDelete={setBoardToDelete}
+              />
+            )}
+          </MenuGroup>
+        </MenuList>
+      )}
     >
       {children}
     </IAIContextMenu>

invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx

@@ -0,0 +1,108 @@
+import { As, Badge, Flex } from '@chakra-ui/react';
+import IAIDroppable from 'common/components/IAIDroppable';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { TypesafeDroppableData } from 'features/dnd/types';
+import { BoardId } from 'features/gallery/store/types';
+import { ReactNode, memo } from 'react';
+import BoardContextMenu from '../BoardContextMenu';
+
+type GenericBoardProps = {
+  board_id: BoardId;
+  droppableData?: TypesafeDroppableData;
+  onClick: () => void;
+  isSelected: boolean;
+  icon: As;
+  label: string;
+  dropLabel?: ReactNode;
+  badgeCount?: number;
+};
+
+export const formatBadgeCount = (count: number) =>
+  Intl.NumberFormat('en-US', {
+    notation: 'compact',
+    maximumFractionDigits: 1,
+  }).format(count);
+
+const GenericBoard = (props: GenericBoardProps) => {
+  const {
+    board_id,
+    droppableData,
+    onClick,
+    isSelected,
+    icon,
+    label,
+    badgeCount,
+    dropLabel,
+  } = props;
+
+  return (
+    <BoardContextMenu board_id={board_id}>
+      {(ref) => (
+        <Flex
+          ref={ref}
+          sx={{
+            flexDir: 'column',
+            justifyContent: 'space-between',
+            alignItems: 'center',
+            cursor: 'pointer',
+            w: 'full',
+            h: 'full',
+            borderRadius: 'base',
+          }}
+        >
+          <Flex
+            onClick={onClick}
+            sx={{
+              position: 'relative',
+              justifyContent: 'center',
+              alignItems: 'center',
+              borderRadius: 'base',
+              w: 'full',
+              aspectRatio: '1/1',
+              overflow: 'hidden',
+              shadow: isSelected ? 'selected.light' : undefined,
+              _dark: { shadow: isSelected ? 'selected.dark' : undefined },
+              flexShrink: 0,
+            }}
+          >
+            <IAINoContentFallback
+              boxSize={8}
+              icon={icon}
+              sx={{
+                border: '2px solid var(--invokeai-colors-base-200)',
+                _dark: { border: '2px solid var(--invokeai-colors-base-800)' },
+              }}
+            />
+            <Flex
+              sx={{
+                position: 'absolute',
+                insetInlineEnd: 0,
+                top: 0,
+                p: 1,
+              }}
+            >
+              {badgeCount !== undefined && (
+                <Badge variant="solid">{formatBadgeCount(badgeCount)}</Badge>
+              )}
+            </Flex>
+            <IAIDroppable data={droppableData} dropLabel={dropLabel} />
+          </Flex>
+          <Flex
+            sx={{
+              h: 'full',
+              alignItems: 'center',
+              fontWeight: isSelected ? 600 : undefined,
+              fontSize: 'sm',
+              color: isSelected ? 'base.900' : 'base.700',
+              _dark: { color: isSelected ? 'base.50' : 'base.200' },
+            }}
+          >
+            {label}
+          </Flex>
+        </Flex>
+      )}
+    </BoardContextMenu>
+  );
+};
+
+export default memo(GenericBoard);

invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/SystemBoardButton.tsx

@@ -0,0 +1,53 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIButton from 'common/components/IAIButton';
+import { boardIdSelected } from 'features/gallery/store/gallerySlice';
+import { memo, useCallback, useMemo } from 'react';
+import { useBoardName } from 'services/api/hooks/useBoardName';
+
+type Props = {
+  board_id: 'images' | 'assets' | 'no_board';
+};
+
+const SystemBoardButton = ({ board_id }: Props) => {
+  const dispatch = useAppDispatch();
+
+  const selector = useMemo(
+    () =>
+      createSelector(
+        [stateSelector],
+        ({ gallery }) => {
+          const { selectedBoardId } = gallery;
+          return { isSelected: selectedBoardId === board_id };
+        },
+        defaultSelectorOptions
+      ),
+    [board_id]
+  );
+
+  const { isSelected } = useAppSelector(selector);
+
+  const boardName = useBoardName(board_id);
+
+  const handleClick = useCallback(() => {
+    dispatch(boardIdSelected({ boardId: board_id }));
+  }, [board_id, dispatch]);
+
+  return (
+    <IAIButton
+      onClick={handleClick}
+      size="sm"
+      isChecked={isSelected}
+      sx={{
+        flexGrow: 1,
+        borderRadius: 'base',
+      }}
+    >
+      {boardName}
+    </IAIButton>
+  );
+};
+
+export default memo(SystemBoardButton);

invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageHidden.tsx

@@ -0,0 +1,22 @@
+import { Flex } from '@chakra-ui/react';
+import { memo } from 'react';
+import { FaEyeSlash } from 'react-icons/fa';
+
+const CurrentImageHidden = () => {
+  return (
+    <Flex
+      sx={{
+        w: 'full',
+        h: 'full',
+        alignItems: 'center',
+        justifyContent: 'center',
+        position: 'absolute',
+        color: 'base.400',
+      }}
+    >
+      <FaEyeSlash fontSize="25vh" />
+    </Flex>
+  );
+};
+
+export default memo(CurrentImageHidden);

invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx

@@ -61,12 +61,6 @@ const GallerySettingsPopover = () => {
     [dispatch]
   );
 
-  const handleChangeAutoAssignBoardOnClick = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) =>
-      dispatch(autoAssignBoardOnClickChanged(e.target.checked)),
-    [dispatch]
-  );
-
   return (
     <IAIPopover
       triggerComponent={
@@ -97,7 +91,9 @@ const GallerySettingsPopover = () => {
         <IAISimpleCheckbox
           label={t('gallery.autoAssignBoardOnClick')}
           isChecked={autoAssignBoardOnClick}
-          onChange={handleChangeAutoAssignBoardOnClick}
+          onChange={(e: ChangeEvent<HTMLInputElement>) =>
+            dispatch(autoAssignBoardOnClickChanged(e.target.checked))
+          }
         />
         <BoardAutoAddSelect />
       </Flex>

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx

@@ -35,34 +35,6 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => {
     e.preventDefault();
   }, []);
 
-  const renderMenuFunc = useCallback(() => {
-    if (!imageDTO) {
-      return null;
-    }
-
-    if (selectionCount > 1) {
-      return (
-        <MenuList
-          sx={{ visibility: 'visible !important' }}
-          motionProps={menuListMotionProps}
-          onContextMenu={skipEvent}
-        >
-          <MultipleSelectionMenuItems />
-        </MenuList>
-      );
-    }
-
-    return (
-      <MenuList
-        sx={{ visibility: 'visible !important' }}
-        motionProps={menuListMotionProps}
-        onContextMenu={skipEvent}
-      >
-        <SingleSelectionMenuItems imageDTO={imageDTO} />
-      </MenuList>
-    );
-  }, [imageDTO, selectionCount, skipEvent]);
-
   return (
     <IAIContextMenu<HTMLDivElement>
       menuProps={{ size: 'sm', isLazy: true }}
@@ -70,7 +42,33 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => {
         bg: 'transparent',
         _hover: { bg: 'transparent' },
       }}
-      renderMenu={renderMenuFunc}
+      renderMenu={() => {
+        if (!imageDTO) {
+          return null;
+        }
+
+        if (selectionCount > 1) {
+          return (
+            <MenuList
+              sx={{ visibility: 'visible !important' }}
+              motionProps={menuListMotionProps}
+              onContextMenu={skipEvent}
+            >
+              <MultipleSelectionMenuItems />
+            </MenuList>
+          );
+        }
+
+        return (
+          <MenuList
+            sx={{ visibility: 'visible !important' }}
+            motionProps={menuListMotionProps}
+            onContextMenu={skipEvent}
+          >
+            <SingleSelectionMenuItems imageDTO={imageDTO} />
+          </MenuList>
+        );
+      }}
     >
       {children}
     </IAIContextMenu>

invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx

@@ -13,7 +13,7 @@ import { workflowLoadRequested } from 'features/nodes/store/actions';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { initialImageSelected } from 'features/parameters/store/actions';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
-import { useCopyImageToClipboard } from 'common/hooks/useCopyImageToClipboard';
+import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard';
 import { setActiveTab } from 'features/ui/store/uiSlice';
 import { memo, useCallback } from 'react';
 import { flushSync } from 'react-dom';

invokeai/frontend/web/src/features/gallery/components/ImageFallbackSpinner.tsx

@@ -0,0 +1,27 @@
+import { Flex, Spinner, SpinnerProps } from '@chakra-ui/react';
+import { memo } from 'react';
+
+type ImageFallbackSpinnerProps = SpinnerProps;
+
+const ImageFallbackSpinner = (props: ImageFallbackSpinnerProps) => {
+  const { size = 'xl', ...rest } = props;
+
+  return (
+    <Flex
+      sx={{
+        w: 'full',
+        h: 'full',
+        alignItems: 'center',
+        justifyContent: 'center',
+        position: 'absolute',
+        color: 'base.400',
+        minH: 36,
+        minW: 36,
+      }}
+    >
+      <Spinner size={size} {...rest} />
+    </Flex>
+  );
+};
+
+export default memo(ImageFallbackSpinner);

invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx

@@ -20,7 +20,6 @@ import { useBoardTotal } from 'services/api/hooks/useBoardTotal';
 import GalleryImage from './GalleryImage';
 import ImageGridItemContainer from './ImageGridItemContainer';
 import ImageGridListContainer from './ImageGridListContainer';
-import { EntityId } from '@reduxjs/toolkit';
 
 const overlayScrollbarsConfig: UseOverlayScrollbarsParams = {
   defer: true,
@@ -72,13 +71,6 @@ const GalleryImageGrid = () => {
     });
   }, [areMoreAvailable, listImages, queryArgs, currentData?.ids.length]);
 
-  const itemContentFunc = useCallback(
-    (index: number, imageName: EntityId) => (
-      <GalleryImage key={imageName} imageName={imageName as string} />
-    ),
-    []
-  );
-
   useEffect(() => {
     // Initialize the gallery's custom scrollbar
     const { current: root } = rootRef;
@@ -139,7 +131,9 @@ const GalleryImageGrid = () => {
               List: ImageGridListContainer,
             }}
             scrollerRef={setScroller}
-            itemContent={itemContentFunc}
+            itemContent={(index, imageName) => (
+              <GalleryImage key={imageName} imageName={imageName as string} />
+            )}
           />
         </Box>
         <IAIButton

invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx

@@ -279,7 +279,7 @@ const ImageMetadataActions = (props: Props) => {
                 key={index}
                 label="LoRA"
                 value={`${lora.lora.model_name} - ${lora.weight}`}
-                onClick={handleRecallLoRA.bind(null, lora)}
+                onClick={() => handleRecallLoRA(lora)}
               />
             );
           }
@@ -289,7 +289,7 @@ const ImageMetadataActions = (props: Props) => {
           key={index}
           label="ControlNet"
           value={`${controlnet.control_model?.model_name} - ${controlnet.control_weight}`}
-          onClick={handleRecallControlNet.bind(null, controlnet)}
+          onClick={() => handleRecallControlNet(controlnet)}
         />
       ))}
       {validIPAdapters.map((ipAdapter, index) => (
@@ -297,7 +297,7 @@ const ImageMetadataActions = (props: Props) => {
           key={index}
           label="IP Adapter"
           value={`${ipAdapter.ip_adapter_model?.model_name} - ${ipAdapter.weight}`}
-          onClick={handleRecallIPAdapter.bind(null, ipAdapter)}
+          onClick={() => handleRecallIPAdapter(ipAdapter)}
         />
       ))}
       {validT2IAdapters.map((t2iAdapter, index) => (
@@ -305,7 +305,7 @@ const ImageMetadataActions = (props: Props) => {
           key={index}
           label="T2I Adapter"
           value={`${t2iAdapter.t2i_adapter_model?.model_name} - ${t2iAdapter.weight}`}
-          onClick={handleRecallT2IAdapter.bind(null, t2iAdapter)}
+          onClick={() => handleRecallT2IAdapter(t2iAdapter)}
         />
       ))}
     </>

invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataItem.tsx

@@ -1,6 +1,6 @@
 import { ExternalLinkIcon } from '@chakra-ui/icons';
 import { Flex, IconButton, Link, Text, Tooltip } from '@chakra-ui/react';
-import { memo, useCallback } from 'react';
+import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { FaCopy } from 'react-icons/fa';
 import { IoArrowUndoCircleOutline } from 'react-icons/io5';
@@ -27,11 +27,6 @@ const ImageMetadataItem = ({
 }: MetadataItemProps) => {
   const { t } = useTranslation();
 
-  const handleCopy = useCallback(
-    () => navigator.clipboard.writeText(value.toString()),
-    [value]
-  );
-
   if (!value) {
     return null;
   }
@@ -58,7 +53,7 @@ const ImageMetadataItem = ({
             size="xs"
             variant="ghost"
             fontSize={14}
-            onClick={handleCopy}
+            onClick={() => navigator.clipboard.writeText(value.toString())}
           />
         </Tooltip>
       )}

invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx

@@ -76,13 +76,6 @@ const ParamLoRASelect = () => {
     [dispatch, loraModels?.entities]
   );
 
-  const filterFunc = useCallback(
-    (value: string, item: SelectItem) =>
-      item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
-      item.value.toLowerCase().includes(value.toLowerCase().trim()),
-    []
-  );
-
   if (loraModels?.ids.length === 0) {
     return (
       <Flex sx={{ justifyContent: 'center', p: 2 }}>
@@ -101,7 +94,10 @@ const ParamLoRASelect = () => {
       nothingFound="No matching LoRAs"
       itemComponent={IAIMantineSelectItemWithTooltip}
       disabled={data.length === 0}
-      filter={filterFunc}
+      filter={(value, item: SelectItem) =>
+        item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
+        item.value.toLowerCase().includes(value.toLowerCase().trim())
+      }
       onChange={handleChange}
       data-testid="add-lora"
     />

invokeai/frontend/web/src/features/nodes/components/flow/nodes/CurrentImage/CurrentImageNode.tsx

@@ -1,4 +1,4 @@
-import { useState, PropsWithChildren, memo, useCallback } from 'react';
+import { useState, PropsWithChildren, memo } from 'react';
 import { useSelector } from 'react-redux';
 import { createSelector } from '@reduxjs/toolkit';
 import { Flex, Image, Text } from '@chakra-ui/react';
@@ -59,13 +59,13 @@ export default memo(CurrentImageNode);
 const Wrapper = (props: PropsWithChildren<{ nodeProps: NodeProps }>) => {
   const [isHovering, setIsHovering] = useState(false);
 
-  const handleMouseEnter = useCallback(() => {
+  const handleMouseEnter = () => {
     setIsHovering(true);
-  }, []);
+  };
 
-  const handleMouseLeave = useCallback(() => {
+  const handleMouseLeave = () => {
     setIsHovering(false);
-  }, []);
+  };
 
   return (
     <NodeWrapper

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/FieldContextMenu.tsx

@@ -104,24 +104,6 @@ const FieldContextMenu = ({ nodeId, fieldName, kind, children }: Props) => {
     nodeId,
   ]);
 
-  const renderMenuFunc = useCallback(
-    () =>
-      !menuItems.length ? null : (
-        <MenuList
-          sx={{ visibility: 'visible !important' }}
-          motionProps={menuListMotionProps}
-          onContextMenu={skipEvent}
-        >
-          <MenuGroup
-            title={label || fieldTemplateTitle || t('nodes.unknownField')}
-          >
-            {menuItems}
-          </MenuGroup>
-        </MenuList>
-      ),
-    [fieldTemplateTitle, label, menuItems, skipEvent, t]
-  );
-
   return (
     <IAIContextMenu<HTMLDivElement>
       menuProps={{
@@ -132,7 +114,21 @@ const FieldContextMenu = ({ nodeId, fieldName, kind, children }: Props) => {
         bg: 'transparent',
         _hover: { bg: 'transparent' },
       }}
-      renderMenu={renderMenuFunc}
+      renderMenu={() =>
+        !menuItems.length ? null : (
+          <MenuList
+            sx={{ visibility: 'visible !important' }}
+            motionProps={menuListMotionProps}
+            onContextMenu={skipEvent}
+          >
+            <MenuGroup
+              title={label || fieldTemplateTitle || t('nodes.unknownField')}
+            >
+              {menuItems}
+            </MenuGroup>
+          </MenuList>
+        )
+      }
     >
       {children}
     </IAIContextMenu>

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ClipInputField.tsx

@@ -0,0 +1,14 @@
+import {
+  ClipInputFieldTemplate,
+  ClipInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const ClipInputFieldComponent = (
+  _props: FieldComponentProps<ClipInputFieldValue, ClipInputFieldTemplate>
+) => {
+  return null;
+};
+
+export default memo(ClipInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/CollectionInputField.tsx

@@ -0,0 +1,17 @@
+import {
+  CollectionInputFieldTemplate,
+  CollectionInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const CollectionInputFieldComponent = (
+  _props: FieldComponentProps<
+    CollectionInputFieldValue,
+    CollectionInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(CollectionInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/CollectionItemInputField.tsx

@@ -0,0 +1,17 @@
+import {
+  CollectionItemInputFieldTemplate,
+  CollectionItemInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const CollectionItemInputFieldComponent = (
+  _props: FieldComponentProps<
+    CollectionItemInputFieldValue,
+    CollectionItemInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(CollectionItemInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ConditioningInputField.tsx

@@ -0,0 +1,17 @@
+import {
+  ConditioningInputFieldTemplate,
+  ConditioningInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const ConditioningInputFieldComponent = (
+  _props: FieldComponentProps<
+    ConditioningInputFieldValue,
+    ConditioningInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(ConditioningInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ControlInputField.tsx

@@ -0,0 +1,19 @@
+import {
+  ControlInputFieldTemplate,
+  ControlInputFieldValue,
+  ControlPolymorphicInputFieldTemplate,
+  ControlPolymorphicInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const ControlInputFieldComponent = (
+  _props: FieldComponentProps<
+    ControlInputFieldValue | ControlPolymorphicInputFieldValue,
+    ControlInputFieldTemplate | ControlPolymorphicInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(ControlInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/DenoiseMaskInputField.tsx

@@ -0,0 +1,17 @@
+import {
+  DenoiseMaskInputFieldTemplate,
+  DenoiseMaskInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const DenoiseMaskInputFieldComponent = (
+  _props: FieldComponentProps<
+    DenoiseMaskInputFieldValue,
+    DenoiseMaskInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(DenoiseMaskInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/IPAdapterInputField.tsx

@@ -0,0 +1,19 @@
+import {
+  IPAdapterInputFieldTemplate,
+  IPAdapterInputFieldValue,
+  FieldComponentProps,
+  IPAdapterPolymorphicInputFieldValue,
+  IPAdapterPolymorphicInputFieldTemplate,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const IPAdapterInputFieldComponent = (
+  _props: FieldComponentProps<
+    IPAdapterInputFieldValue | IPAdapterPolymorphicInputFieldValue,
+    IPAdapterInputFieldTemplate | IPAdapterPolymorphicInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(IPAdapterInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ImageCollectionInputField.tsx

@@ -0,0 +1,94 @@
+import {
+  ImageCollectionInputFieldTemplate,
+  ImageCollectionInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+import { Flex } from '@chakra-ui/react';
+import IAIDndImage from 'common/components/IAIDndImage';
+import IAIDropOverlay from 'common/components/IAIDropOverlay';
+import { useDroppableTypesafe } from 'features/dnd/hooks/typesafeHooks';
+import { NodesMultiImageDropData } from 'features/dnd/types';
+import { isValidDrop } from 'features/dnd/util/isValidDrop';
+import { useGetImageDTOQuery } from 'services/api/endpoints/images';
+
+const ImageCollectionInputFieldComponent = (
+  props: FieldComponentProps<
+    ImageCollectionInputFieldValue,
+    ImageCollectionInputFieldTemplate
+  >
+) => {
+  const { nodeId, field } = props;
+
+  // const dispatch = useAppDispatch();
+
+  // const handleDrop = useCallback(
+  //   ({ image_name }: ImageDTO) => {
+  //     dispatch(
+  //       fieldValueChanged({
+  //         nodeId,
+  //         fieldName: field.name,
+  //         value: uniqBy([...(field.value ?? []), { image_name }], 'image_name'),
+  //       })
+  //     );
+  //   },
+  //   [dispatch, field.name, field.value, nodeId]
+  // );
+
+  const droppableData: NodesMultiImageDropData = {
+    id: `node-${nodeId}-${field.name}`,
+    actionType: 'SET_MULTI_NODES_IMAGE',
+    context: { nodeId: nodeId, fieldName: field.name },
+  };
+
+  const {
+    isOver,
+    setNodeRef: setDroppableRef,
+    active,
+  } = useDroppableTypesafe({
+    id: `node_${nodeId}`,
+    data: droppableData,
+  });
+
+  // const handleReset = useCallback(() => {
+  //   dispatch(
+  //     fieldValueChanged({
+  //       nodeId,
+  //       fieldName: field.name,
+  //       value: undefined,
+  //     })
+  //   );
+  // }, [dispatch, field.name, nodeId]);
+
+  return (
+    <Flex
+      ref={setDroppableRef}
+      sx={{
+        w: 'full',
+        h: 'full',
+        alignItems: 'center',
+        justifyContent: 'center',
+        position: 'relative',
+        minH: '10rem',
+      }}
+    >
+      {field.value?.map(({ image_name }) => (
+        <ImageSubField key={image_name} imageName={image_name} />
+      ))}
+      {isValidDrop(droppableData, active) && <IAIDropOverlay isOver={isOver} />}
+    </Flex>
+  );
+};
+
+export default memo(ImageCollectionInputFieldComponent);
+
+type ImageSubFieldProps = { imageName: string };
+
+const ImageSubField = (props: ImageSubFieldProps) => {
+  const { currentData: image } = useGetImageDTOQuery(props.imageName);
+
+  return (
+    <IAIDndImage imageDTO={image} isDropDisabled={true} isDragDisabled={true} />
+  );
+};

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LatentsInputField.tsx

@@ -0,0 +1,19 @@
+import {
+  LatentsInputFieldTemplate,
+  LatentsInputFieldValue,
+  FieldComponentProps,
+  LatentsPolymorphicInputFieldValue,
+  LatentsPolymorphicInputFieldTemplate,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const LatentsInputFieldComponent = (
+  _props: FieldComponentProps<
+    LatentsInputFieldValue | LatentsPolymorphicInputFieldValue,
+    LatentsInputFieldTemplate | LatentsPolymorphicInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(LatentsInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/LoRAModelInputField.tsx

@@ -80,13 +80,6 @@ const LoRAModelInputFieldComponent = (
     [dispatch, field.name, nodeId]
   );
 
-  const filterFunc = useCallback(
-    (value: string, item: SelectItem) =>
-      item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
-      item.value.toLowerCase().includes(value.toLowerCase().trim()),
-    []
-  );
-
   if (loraModels?.ids.length === 0) {
     return (
       <Flex sx={{ justifyContent: 'center', p: 2 }}>
@@ -108,7 +101,10 @@ const LoRAModelInputFieldComponent = (
       nothingFound={t('models.noMatchingLoRAs')}
       itemComponent={IAIMantineSelectItemWithTooltip}
       disabled={data.length === 0}
-      filter={filterFunc}
+      filter={(value, item: SelectItem) =>
+        item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
+        item.value.toLowerCase().includes(value.toLowerCase().trim())
+      }
       error={!selectedLoRAModel}
       onChange={handleChange}
       sx={{

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/MainModelInputField.tsx

@@ -11,7 +11,7 @@ import {
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
-import SyncModelsButton from 'features/modelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
+import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { NON_SDXL_MAIN_MODELS } from 'services/api/constants';

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/NumberInputField.tsx

@@ -19,7 +19,7 @@ import {
   IntegerPolymorphicInputFieldTemplate,
   IntegerPolymorphicInputFieldValue,
 } from 'features/nodes/types/types';
-import { memo, useCallback, useEffect, useMemo, useState } from 'react';
+import { memo, useEffect, useMemo, useState } from 'react';
 
 const NumberInputFieldComponent = (
   props: FieldComponentProps<
@@ -43,23 +43,20 @@ const NumberInputFieldComponent = (
     [fieldTemplate.type]
   );
 
-  const handleValueChanged = useCallback(
-    (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.
-        dispatch(
-          fieldNumberValueChanged({
-            nodeId,
-            fieldName: field.name,
-            value: isIntegerField ? Math.floor(Number(v)) : Number(v),
-          })
-        );
-      }
-    },
-    [dispatch, field.name, isIntegerField, nodeId]
-  );
+  const handleValueChanged = (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.
+      dispatch(
+        fieldNumberValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value: isIntegerField ? Math.floor(Number(v)) : Number(v),
+        })
+      );
+    }
+  };
 
   useEffect(() => {
     if (

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/RefinerModelInputField.tsx

@@ -11,7 +11,7 @@ import {
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
-import SyncModelsButton from 'features/modelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
+import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/SDXLMainModelInputField.tsx

@@ -11,7 +11,7 @@ import {
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
-import SyncModelsButton from 'features/modelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
+import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/T2IAdapterInputField.tsx

@@ -0,0 +1,19 @@
+import {
+  T2IAdapterInputFieldTemplate,
+  T2IAdapterInputFieldValue,
+  T2IAdapterPolymorphicInputFieldTemplate,
+  T2IAdapterPolymorphicInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const T2IAdapterInputFieldComponent = (
+  _props: FieldComponentProps<
+    T2IAdapterInputFieldValue | T2IAdapterPolymorphicInputFieldValue,
+    T2IAdapterInputFieldTemplate | T2IAdapterPolymorphicInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(T2IAdapterInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/UnetInputField.tsx

@@ -0,0 +1,14 @@
+import {
+  UNetInputFieldTemplate,
+  UNetInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const UNetInputFieldComponent = (
+  _props: FieldComponentProps<UNetInputFieldValue, UNetInputFieldTemplate>
+) => {
+  return null;
+};
+
+export default memo(UNetInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/VaeInputField.tsx

@@ -0,0 +1,14 @@
+import {
+  VaeInputFieldTemplate,
+  VaeInputFieldValue,
+  FieldComponentProps,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+
+const VaeInputFieldComponent = (
+  _props: FieldComponentProps<VaeInputFieldValue, VaeInputFieldTemplate>
+) => {
+  return null;
+};
+
+export default memo(VaeInputFieldComponent);

invokeai/frontend/web/src/features/nodes/components/flow/nodes/common/NodeResizer.tsx

@@ -0,0 +1,27 @@
+import { NODE_MIN_WIDTH } from 'features/nodes/types/constants';
+import { memo } from 'react';
+import { NodeResizeControl, NodeResizerProps } from 'reactflow';
+
+// this causes https://github.com/invoke-ai/InvokeAI/issues/4140
+// not using it for now
+
+const NodeResizer = (props: NodeResizerProps) => {
+  const { ...rest } = props;
+  return (
+    <NodeResizeControl
+      style={{
+        position: 'absolute',
+        border: 'none',
+        background: 'transparent',
+        width: 15,
+        height: 15,
+        bottom: 0,
+        right: 0,
+      }}
+      minWidth={NODE_MIN_WIDTH}
+      {...rest}
+    ></NodeResizeControl>
+  );
+};
+
+export default memo(NodeResizer);

invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx

@@ -0,0 +1,78 @@
+import { Box, Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { InvocationTemplate, NodeData } from 'features/nodes/types/types';
+import { memo } from 'react';
+import NotesTextarea from '../../flow/nodes/Invocation/NotesTextarea';
+import NodeTitle from '../../flow/nodes/common/NodeTitle';
+import ScrollableContent from '../ScrollableContent';
+import { useTranslation } from 'react-i18next';
+
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const lastSelectedNodeId =
+      nodes.selectedNodes[nodes.selectedNodes.length - 1];
+
+    const lastSelectedNode = nodes.nodes.find(
+      (node) => node.id === lastSelectedNodeId
+    );
+
+    const lastSelectedNodeTemplate = lastSelectedNode
+      ? nodes.nodeTemplates[lastSelectedNode.data.type]
+      : undefined;
+
+    return {
+      data: lastSelectedNode?.data,
+      template: lastSelectedNodeTemplate,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const InspectorDetailsTab = () => {
+  const { data, template } = useAppSelector(selector);
+  const { t } = useTranslation();
+
+  if (!template || !data) {
+    return (
+      <IAINoContentFallback label={t('nodes.noNodeSelected')} icon={null} />
+    );
+  }
+
+  return <Content data={data} template={template} />;
+};
+
+export default memo(InspectorDetailsTab);
+
+const Content = (props: { data: NodeData; template: InvocationTemplate }) => {
+  const { data } = props;
+
+  return (
+    <Box
+      sx={{
+        position: 'relative',
+        w: 'full',
+        h: 'full',
+      }}
+    >
+      <ScrollableContent>
+        <Flex
+          sx={{
+            flexDir: 'column',
+            position: 'relative',
+            p: 1,
+            gap: 2,
+            w: 'full',
+          }}
+        >
+          <NodeTitle nodeId={data.id} />
+          <NotesTextarea nodeId={data.id} />
+        </Flex>
+      </ScrollableContent>
+    </Box>
+  );
+};

invokeai/frontend/web/src/features/nodes/components/sidePanel/workflow/WorkflowNotesTab.tsx

@@ -0,0 +1,51 @@
+import { Box, Text } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAITextarea from 'common/components/IAITextarea';
+import { workflowNotesChanged } from 'features/nodes/store/nodesSlice';
+import { ChangeEvent, memo, useCallback } from 'react';
+
+const selector = createSelector(stateSelector, ({ nodes }) => {
+  const { notes } = nodes.workflow;
+
+  return {
+    notes,
+  };
+});
+
+const WorkflowNotesTab = () => {
+  const { notes } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+
+  const handleChangeNotes = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(workflowNotesChanged(e.target.value));
+    },
+    [dispatch]
+  );
+
+  return (
+    <Box sx={{ pos: 'relative', h: 'full' }}>
+      <IAITextarea
+        onChange={handleChangeNotes}
+        value={notes}
+        fontSize="sm"
+        sx={{ h: 'full', resize: 'none' }}
+      />
+      <Box sx={{ pos: 'absolute', bottom: 2, right: 2 }}>
+        <Text
+          sx={{
+            fontSize: 'xs',
+            opacity: 0.5,
+            userSelect: 'none',
+          }}
+        >
+          {notes.length}
+        </Text>
+      </Box>
+    </Box>
+  );
+};
+
+export default memo(WorkflowNotesTab);

invokeai/frontend/web/src/features/nodes/store/util/makeTemplateSelector.ts

@@ -0,0 +1,11 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { AnyInvocationType } from 'services/events/types';
+
+export const makeTemplateSelector = (type: AnyInvocationType) =>
+  createSelector(
+    stateSelector,
+    ({ nodes }) => nodes.nodeTemplates[type],
+    defaultSelectorOptions
+  );

invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxCollapse.tsx

@@ -0,0 +1,21 @@
+import { Flex } from '@chakra-ui/react';
+import IAICollapse from 'common/components/IAICollapse';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import ParamBoundingBoxHeight from './ParamBoundingBoxHeight';
+import ParamBoundingBoxWidth from './ParamBoundingBoxWidth';
+
+const ParamBoundingBoxCollapse = () => {
+  const { t } = useTranslation();
+
+  return (
+    <IAICollapse label={t('parameters.boundingBoxHeader')}>
+      <Flex sx={{ gap: 2, flexDirection: 'column' }}>
+        <ParamBoundingBoxWidth />
+        <ParamBoundingBoxHeight />
+      </Flex>
+    </IAICollapse>
+  );
+};
+
+export default memo(ParamBoundingBoxCollapse);

invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxHeight.tsx

@@ -6,7 +6,7 @@ import IAISlider from 'common/components/IAISlider';
 import { roundToMultiple } from 'common/util/roundDownToMultiple';
 import { isStagingSelector } from 'features/canvas/store/canvasSelectors';
 import { setBoundingBoxDimensions } from 'features/canvas/store/canvasSlice';
-import { memo, useCallback } from 'react';
+import { memo } from 'react';
 
 import { useTranslation } from 'react-i18next';
 
@@ -36,28 +36,25 @@ const ParamBoundingBoxWidth = () => {
     ? 1024
     : 512;
 
-  const handleChangeHeight = useCallback(
-    (v: number) => {
+  const handleChangeHeight = (v: number) => {
+    dispatch(
+      setBoundingBoxDimensions({
+        ...boundingBoxDimensions,
+        height: Math.floor(v),
+      })
+    );
+    if (aspectRatio) {
+      const newWidth = roundToMultiple(v * aspectRatio, 64);
       dispatch(
         setBoundingBoxDimensions({
-          ...boundingBoxDimensions,
+          width: newWidth,
           height: Math.floor(v),
         })
       );
-      if (aspectRatio) {
-        const newWidth = roundToMultiple(v * aspectRatio, 64);
-        dispatch(
-          setBoundingBoxDimensions({
-            width: newWidth,
-            height: Math.floor(v),
-          })
-        );
-      }
-    },
-    [aspectRatio, boundingBoxDimensions, dispatch]
-  );
+    }
+  };
 
-  const handleResetHeight = useCallback(() => {
+  const handleResetHeight = () => {
     dispatch(
       setBoundingBoxDimensions({
         ...boundingBoxDimensions,
@@ -73,7 +70,7 @@ const ParamBoundingBoxWidth = () => {
         })
       );
     }
-  }, [aspectRatio, boundingBoxDimensions, dispatch, initial]);
+  };
 
   return (
     <IAISlider

invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxWidth.tsx

@@ -6,7 +6,7 @@ import IAISlider from 'common/components/IAISlider';
 import { roundToMultiple } from 'common/util/roundDownToMultiple';
 import { isStagingSelector } from 'features/canvas/store/canvasSelectors';
 import { setBoundingBoxDimensions } from 'features/canvas/store/canvasSlice';
-import { memo, useCallback } from 'react';
+import { memo } from 'react';
 
 import { useTranslation } from 'react-i18next';
 
@@ -36,28 +36,25 @@ const ParamBoundingBoxWidth = () => {
 
   const { t } = useTranslation();
 
-  const handleChangeWidth = useCallback(
-    (v: number) => {
+  const handleChangeWidth = (v: number) => {
+    dispatch(
+      setBoundingBoxDimensions({
+        ...boundingBoxDimensions,
+        width: Math.floor(v),
+      })
+    );
+    if (aspectRatio) {
+      const newHeight = roundToMultiple(v / aspectRatio, 64);
       dispatch(
         setBoundingBoxDimensions({
-          ...boundingBoxDimensions,
           width: Math.floor(v),
+          height: newHeight,
         })
       );
-      if (aspectRatio) {
-        const newHeight = roundToMultiple(v / aspectRatio, 64);
-        dispatch(
-          setBoundingBoxDimensions({
-            width: Math.floor(v),
-            height: newHeight,
-          })
-        );
-      }
-    },
-    [aspectRatio, boundingBoxDimensions, dispatch]
-  );
+    }
+  };
 
-  const handleResetWidth = useCallback(() => {
+  const handleResetWidth = () => {
     dispatch(
       setBoundingBoxDimensions({
         ...boundingBoxDimensions,
@@ -73,7 +70,7 @@ const ParamBoundingBoxWidth = () => {
         })
       );
     }
-  }, [aspectRatio, boundingBoxDimensions, dispatch, initial]);
+  };
 
   return (
     <IAISlider

invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceMode.tsx

@@ -6,7 +6,7 @@ import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { setCanvasCoherenceMode } from 'features/parameters/store/generationSlice';
 import { CanvasCoherenceModeParam } from 'features/parameters/types/parameterSchemas';
 
-import { memo, useCallback } from 'react';
+import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
 
 const coherenceModeSelectData: IAISelectDataType[] = [
@@ -22,16 +22,13 @@ const ParamCanvasCoherenceMode = () => {
   );
   const { t } = useTranslation();
 
-  const handleCoherenceModeChange = useCallback(
-    (v: string | null) => {
-      if (!v) {
-        return;
-      }
+  const handleCoherenceModeChange = (v: string | null) => {
+    if (!v) {
+      return;
+    }
 
-      dispatch(setCanvasCoherenceMode(v as CanvasCoherenceModeParam));
-    },
-    [dispatch]
-  );
+    dispatch(setCanvasCoherenceMode(v as CanvasCoherenceModeParam));
+  };
 
   return (
     <IAIInformationalPopover feature="compositingCoherenceMode">

invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/Compositing/CoherencePass/ParamCanvasCoherenceSteps.tsx

@@ -3,7 +3,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIInformationalPopover from 'common/components/IAIInformationalPopover/IAIInformationalPopover';
 import IAISlider from 'common/components/IAISlider';
 import { setCanvasCoherenceSteps } from 'features/parameters/store/generationSlice';
-import { memo, useCallback } from 'react';
+import { memo } from 'react';
 import { useTranslation } from 'react-i18next';
 
 const ParamCanvasCoherenceSteps = () => {
@@ -13,17 +13,6 @@ const ParamCanvasCoherenceSteps = () => {
   );
   const { t } = useTranslation();
 
-  const handleChange = useCallback(
-    (v: number) => {
-      dispatch(setCanvasCoherenceSteps(v));
-    },
-    [dispatch]
-  );
-
-  const handleReset = useCallback(() => {
-    dispatch(setCanvasCoherenceSteps(20));
-  }, [dispatch]);
-
   return (
     <IAIInformationalPopover feature="compositingCoherenceSteps">
       <IAISlider
@@ -33,11 +22,15 @@ const ParamCanvasCoherenceSteps = () => {
         step={1}
         sliderNumberInputProps={{ max: 999 }}
         value={canvasCoherenceSteps}
-        onChange={handleChange}
+        onChange={(v) => {
+          dispatch(setCanvasCoherenceSteps(v));
+        }}
         withInput
         withSliderMarks
         withReset
-        handleReset={handleReset}
+        handleReset={() => {
+          dispatch(setCanvasCoherenceSteps(20));
+        }}
       />
     </IAIInformationalPopover>
   );