chore: v4.0.0rc5

fix(nodes): esrgan model name typo
fix(mm): remove proteus model
2026-04-23 03:00:31 -04:00 · 2024-03-22 02:35:16 -07:00 · 2024-03-22 02:22:19 -07:00 · 2024-03-22 02:22:03 -07:00 · 2024-03-22 02:21:33 -07:00 · 2024-03-22 16:35:42 +11:00
23 changed files with 2636 additions and 8237 deletions
--- a/invokeai/app/api/routers/model_manager.py
+++ b/invokeai/app/api/routers/model_manager.py
@@ -21,10 +21,11 @@ from typing_extensions import Annotated

 from invokeai.app.services.model_install import ModelInstallJob
 from invokeai.app.services.model_records import (
+    DuplicateModelException,
    InvalidModelException,
+    ModelRecordChanges,
    UnknownModelException,
 )
-from invokeai.app.services.model_records.model_records_base import DuplicateModelException, ModelRecordChanges
 from invokeai.app.util.suppress_output import SuppressOutput
 from invokeai.backend.model_manager.config import (
    AnyModelConfig,
@@ -37,7 +38,7 @@ from invokeai.backend.model_manager.config import (
 from invokeai.backend.model_manager.metadata.fetch.huggingface import HuggingFaceMetadataFetch
 from invokeai.backend.model_manager.metadata.metadata_base import ModelMetadataWithFiles, UnknownMetadataException
 from invokeai.backend.model_manager.search import ModelSearch
-from invokeai.backend.model_manager.starter_models import STARTER_MODELS, StarterModel
+from invokeai.backend.model_manager.starter_models import STARTER_MODELS, StarterModel, StarterModelWithoutDependencies

 from ..dependencies import ApiDependencies

@@ -309,8 +310,10 @@ async def update_model_record(
    """Update a model's config."""
    logger = ApiDependencies.invoker.services.logger
    record_store = ApiDependencies.invoker.services.model_manager.store
+    installer = ApiDependencies.invoker.services.model_manager.install
    try:
-        model_response: AnyModelConfig = record_store.update_model(key, changes=changes)
+        record_store.update_model(key, changes=changes)
+        model_response: AnyModelConfig = installer.sync_model_path(key)
        logger.info(f"Updated model: {key}")
    except UnknownModelException as e:
        raise HTTPException(status_code=404, detail=str(e))
@@ -797,9 +800,9 @@ async def get_starter_models() -> list[StarterModel]:
        if model.source in installed_model_sources:
            model.is_installed = True
        # Remove already-installed dependencies
-        missing_deps: list[str] = []
+        missing_deps: list[StarterModelWithoutDependencies] = []
        for dep in model.dependencies or []:
-            if dep not in installed_model_sources:
+            if dep.source not in installed_model_sources:
                missing_deps.append(dep)
        model.dependencies = missing_deps

--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -967,3 +967,56 @@ class CanvasPasteBackInvocation(BaseInvocation, WithMetadata, WithBoard):

        image_dto = context.images.save(image=source_image)
        return ImageOutput.build(image_dto)
+
+
+@invocation(
+    "mask_from_id",
+    title="Mask from ID",
+    tags=["image", "mask", "id"],
+    category="image",
+    version="1.0.0",
+)
+class MaskFromIDInvocation(BaseInvocation, WithMetadata, WithBoard):
+    """Generate a mask for a particular color in an ID Map"""
+
+    image: ImageField = InputField(description="The image to create the mask from")
+    color: ColorField = InputField(description="ID color to mask")
+    threshold: int = InputField(default=100, description="Threshold for color detection")
+    invert: bool = InputField(default=False, description="Whether or not to invert the mask")
+
+    def rgba_to_hex(self, rgba_color: tuple[int, int, int, int]):
+        r, g, b, a = rgba_color
+        hex_code = "#{:02X}{:02X}{:02X}{:02X}".format(r, g, b, int(a * 255))
+        return hex_code
+
+    def id_to_mask(self, id_mask: Image.Image, color: tuple[int, int, int, int], threshold: int = 100):
+        if id_mask.mode != "RGB":
+            id_mask = id_mask.convert("RGB")
+
+        # Can directly just use the tuple but I'll leave this rgba_to_hex here
+        # incase anyone prefers using hex codes directly instead of the color picker
+        hex_color_str = self.rgba_to_hex(color)
+        rgb_color = numpy.array([int(hex_color_str[i : i + 2], 16) for i in (1, 3, 5)])
+
+        # Maybe there's a faster way to calculate this distance but I can't think of any right now.
+        color_distance = numpy.linalg.norm(id_mask - rgb_color, axis=-1)
+
+        # Create a mask based on the threshold and the distance calculated above
+        binary_mask = (color_distance < threshold).astype(numpy.uint8) * 255
+
+        # Convert the mask back to PIL
+        binary_mask_pil = Image.fromarray(binary_mask)
+
+        return binary_mask_pil
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        image = context.images.get_pil(self.image.image_name)
+
+        mask = self.id_to_mask(image, self.color.tuple(), self.threshold)
+
+        if self.invert:
+            mask = ImageOps.invert(mask)
+
+        image_dto = context.images.save(image=mask, image_category=ImageCategory.MASK)
+
+        return ImageOutput.build(image_dto)
--- a/invokeai/app/invocations/upscale.py
+++ b/invokeai/app/invocations/upscale.py
@@ -31,7 +31,7 @@ ESRGAN_MODELS = Literal[
 ESRGAN_MODEL_URLS: dict[str, str] = {
    "RealESRGAN_x4plus.pth": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
    "RealESRGAN_x4plus_anime_6B.pth": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
-    "ESRGAN_SRx4_DF2KOST_official.pth": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth",
+    "ESRGAN_SRx4_DF2KOST_official-ff704c30.pth": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/ESRGAN_SRx4_DF2KOST_official-ff704c30.pth",
    "RealESRGAN_x2plus.pth": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth",
 }

--- a/invokeai/app/services/download/download_default.py
+++ b/invokeai/app/services/download/download_default.py
@@ -85,7 +85,7 @@ class DownloadQueueService(DownloadQueueServiceBase):
                self._logger.info(f"Waiting for {len(active_jobs)} active download jobs to complete")
            with self._queue.mutex:
                self._queue.queue.clear()
-            self.join()  # wait for all active jobs to finish
+            self.cancel_all_jobs()
            self._stop_event.set()
            for thread in self._worker_pool:
                thread.join()
--- a/invokeai/app/services/model_install/model_install_base.py
+++ b/invokeai/app/services/model_install/model_install_base.py
@@ -468,6 +468,19 @@ class ModelInstallServiceBase(ABC):
    def sync_to_config(self) -> None:
        """Synchronize models on disk to those in the model record database."""

+    @abstractmethod
+    def sync_model_path(self, key: str) -> AnyModelConfig:
+        """
+        Move model into the location indicated by its basetype, type and name.
+
+        Call this after updating a model's attributes in order to move
+        the model's path into the location indicated by its basetype, type and
+        name. Applies only to models whose paths are within the root `models_dir`
+        directory.
+
+        May raise an UnknownModelException.
+        """
+
    @abstractmethod
    def download_and_cache(self, source: Union[str, AnyHttpUrl], access_token: Optional[str] = None) -> Path:
        """
--- a/invokeai/app/services/model_install/model_install_default.py
+++ b/invokeai/app/services/model_install/model_install_default.py
@@ -2,6 +2,7 @@

 import os
 import re
+import signal
 import threading
 import time
 from hashlib import sha256
@@ -112,6 +113,18 @@ class ModelInstallService(ModelInstallServiceBase):
    # makes the installer harder to use outside the web app
    def start(self, invoker: Optional[Invoker] = None) -> None:
        """Start the installer thread."""
+
+        # Yes, this is weird. When the installer thread is running, the
+        # thread masks the ^C signal. When we receive a
+        # sigINT, we stop the thread, reset sigINT, and send a new
+        # sigINT to the parent process.
+        def sigint_handler(signum, frame):
+            self.stop()
+            signal.signal(signal.SIGINT, signal.SIG_DFL)
+            signal.raise_signal(signal.SIGINT)
+
+        signal.signal(signal.SIGINT, sigint_handler)
+
        with self._lock:
            if self._running:
                raise Exception("Attempt to start the installer service twice")
@@ -122,15 +135,15 @@ class ModelInstallService(ModelInstallServiceBase):

    def stop(self, invoker: Optional[Invoker] = None) -> None:
        """Stop the installer thread; after this the object can be deleted and garbage collected."""
-        with self._lock:
-            if not self._running:
-                raise Exception("Attempt to stop the install service before it was started")
-            self._stop_event.set()
-            self._clear_pending_jobs()
-            self._download_cache.clear()
-            assert self._install_thread is not None
-            self._install_thread.join()
-            self._running = False
+        if not self._running:
+            raise Exception("Attempt to stop the install service before it was started")
+        self._logger.debug("calling stop_event.set()")
+        self._stop_event.set()
+        self._clear_pending_jobs()
+        self._download_cache.clear()
+        assert self._install_thread is not None
+        self._install_thread.join()
+        self._running = False

    def _clear_pending_jobs(self) -> None:
        for job in self.list_jobs():
@@ -526,7 +539,7 @@ class ModelInstallService(ModelInstallServiceBase):
                    installed.update(self.scan_directory(models_dir))
            self._logger.info(f"{len(installed)} new models registered; {len(defunct_models)} unregistered")

-    def _sync_model_path(self, key: str) -> AnyModelConfig:
+    def sync_model_path(self, key: str) -> AnyModelConfig:
        """
        Move model into the location indicated by its basetype, type and name.

@@ -538,16 +551,13 @@ class ModelInstallService(ModelInstallServiceBase):
        May raise an UnknownModelException.
        """
        model = self.record_store.get_model(key)
-        old_path = Path(model.path)
-        models_dir = self.app_config.models_path
+        old_path = Path(model.path).resolve()
+        models_dir = self.app_config.models_path.resolve()

-        try:
-            old_path.relative_to(models_dir)
+        if not old_path.is_relative_to(models_dir):
            return model
-        except ValueError:
-            pass

-        new_path = models_dir / model.base.value / model.type.value / old_path.name
+        new_path = (models_dir / model.base.value / model.type.value / model.name).with_suffix(old_path.suffix)

        if old_path == new_path or new_path.exists() and old_path == new_path.resolve():
            return model
@@ -559,11 +569,11 @@ class ModelInstallService(ModelInstallServiceBase):
        return model

    def _scan_register(self, model: Path) -> bool:
-        if model in self._cached_model_paths:
+        if model.resolve() in self._cached_model_paths:
            return True
        try:
            id = self.register_path(model)
-            self._sync_model_path(id)  # possibly move it to right place in `models`
+            self.sync_model_path(id)  # possibly move it to right place in `models`
            self._logger.info(f"Registered {model.name} with id {id}")
            self._models_installed.add(id)
        except DuplicateModelException:
--- a/invokeai/app/services/model_records/init.py
+++ b/invokeai/app/services/model_records/init.py
@@ -6,6 +6,7 @@ from .model_records_base import (  # noqa F401
    ModelRecordServiceBase,
    UnknownModelException,
    ModelSummary,
+    ModelRecordChanges,
    ModelRecordOrderBy,
 )
 from .model_records_sql import ModelRecordServiceSQL  # noqa F401
@@ -17,5 +18,6 @@ __all__ = [
    "InvalidModelException",
    "UnknownModelException",
    "ModelSummary",
+    "ModelRecordChanges",
    "ModelRecordOrderBy",
 ]
--- a/invokeai/app/services/workflow_records/default_workflows/ESRGAN
+++ b/invokeai/app/services/workflow_records/default_workflows/ESRGAN
--- a/invokeai/app/services/workflow_records/default_workflows/Face
+++ b/invokeai/app/services/workflow_records/default_workflows/Face
--- a/invokeai/app/services/workflow_records/default_workflows/Multi
+++ b/invokeai/app/services/workflow_records/default_workflows/Multi
--- a/invokeai/app/services/workflow_records/default_workflows/Prompt
+++ b/invokeai/app/services/workflow_records/default_workflows/Prompt
@@ -2,7 +2,7 @@
  "name": "Prompt from File",
  "author": "InvokeAI",
  "description": "Sample workflow using Prompt from File node",
-  "version": "0.1.0",
+  "version": "2.0.0",
  "contact": "invoke@invoke.ai",
  "tags": "text2image, prompt from file, default",
  "notes": "",
@@ -14,11 +14,31 @@
    {
      "nodeId": "1b7e0df8-8589-4915-a4ea-c0088f15d642",
      "fieldName": "file_path"
+    },
+    {
+      "nodeId": "1b7e0df8-8589-4915-a4ea-c0088f15d642",
+      "fieldName": "pre_prompt"
+    },
+    {
+      "nodeId": "1b7e0df8-8589-4915-a4ea-c0088f15d642",
+      "fieldName": "post_prompt"
+    },
+    {
+      "nodeId": "0eb5f3f5-1b91-49eb-9ef0-41d67c7eae77",
+      "fieldName": "width"
+    },
+    {
+      "nodeId": "0eb5f3f5-1b91-49eb-9ef0-41d67c7eae77",
+      "fieldName": "height"
+    },
+    {
+      "nodeId": "491ec988-3c77-4c37-af8a-39a0c4e7a2a1",
+      "fieldName": "board"
    }
  ],
  "meta": {
    "category": "default",
-    "version": "2.0.0"
+    "version": "3.0.0"
  },
  "nodes": [
    {
@@ -26,847 +46,361 @@
      "type": "invocation",
      "data": {
        "id": "c2eaf1ba-5708-4679-9e15-945b8b432692",
-        "type": "compel",
-        "label": "",
-        "isOpen": false,
-        "notes": "",
-        "isIntermediate": true,
-        "useCache": true,
-        "version": "1.0.0",
+        "version": "1.1.1",
        "nodePack": "invokeai",
+        "label": "",
+        "notes": "",
+        "type": "compel",
        "inputs": {
          "prompt": {
-            "id": "dcdf3f6d-9b96-4bcd-9b8d-f992fefe4f62",
            "name": "prompt",
-            "fieldKind": "input",
            "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "StringField"
-            },
            "value": ""
          },
          "clip": {
-            "id": "3f1981c9-d8a9-42eb-a739-4f120eb80745",
            "name": "clip",
-            "fieldKind": "input",
-            "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "ClipField"
-            }
+            "label": ""
          }
        },
-        "outputs": {
-          "conditioning": {
-            "id": "46205e6c-c5e2-44cb-9c82-1cd20b95674a",
-            "name": "conditioning",
-            "fieldKind": "output",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "ConditioningField"
-            }
-          }
-        }
+        "isOpen": false,
+        "isIntermediate": true,
+        "useCache": true
      },
      "position": {
        "x": 925,
        "y": -200
-      },
-      "width": 320,
-      "height": 24
+      }
    },
    {
      "id": "1b7e0df8-8589-4915-a4ea-c0088f15d642",
      "type": "invocation",
      "data": {
        "id": "1b7e0df8-8589-4915-a4ea-c0088f15d642",
-        "type": "prompt_from_file",
-        "label": "Prompts from File",
-        "isOpen": true,
-        "notes": "",
-        "isIntermediate": true,
-        "useCache": true,
-        "version": "1.0.1",
+        "version": "1.0.2",
        "nodePack": "invokeai",
+        "label": "Prompts from File",
+        "notes": "",
+        "type": "prompt_from_file",
        "inputs": {
          "file_path": {
-            "id": "37e37684-4f30-4ec8-beae-b333e550f904",
            "name": "file_path",
-            "fieldKind": "input",
            "label": "Prompts File Path",
-            "type": {
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+        "isOpen": true,
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+        "useCache": true
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+      }
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        "version": "1.1.0",
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+      }
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    {
      "id": "d6353b7f-b447-4e17-8f2e-80a88c91d426",
      "type": "invocation",
      "data": {
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-        "label": "",
-        "isOpen": true,
-        "notes": "",
-        "isIntermediate": true,
-        "useCache": true,
-        "version": "1.0.0",
+        "version": "1.0.2",
        "nodePack": "invokeai",
+        "label": "",
+        "notes": "",
+        "type": "main_model_loader",
        "inputs": {
          "model": {
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            "name": "model",
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-            },
-            "value": {
-              "model_name": "stable-diffusion-v1-5",
-              "base_model": "sd-1",
-              "model_type": "main"
-            }
+            "label": ""
          }
        },
-        "outputs": {
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        "y": -375
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-      "height": 193
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+      "targetHandle": "style"
+    }
+  ]
+}
--- a/invokeai/app/services/workflow_records/default_workflows/Text
+++ b/invokeai/app/services/workflow_records/default_workflows/Text
@@ -2,7 +2,7 @@
  "name": "Text to Image with LoRA",
  "author": "InvokeAI",
  "description": "Simple text to image workflow with a LoRA",
-  "version": "1.0.0",
+  "version": "2.0.0",
  "contact": "invoke@invoke.ai",
  "tags": "text to image, lora, default",
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      "fieldName": "prompt"
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+      "fieldName": "height"
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+    "version": "3.0.0"
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-      },
-      "width": 320,
-      "height": 24
+      }
    },
    {
      "id": "a9683c0a-6b1f-4a5e-8187-c57e764b3400",
      "type": "invocation",
      "data": {
        "id": "a9683c0a-6b1f-4a5e-8187-c57e764b3400",
-        "type": "l2i",
+        "version": "1.2.2",
        "label": "",
-        "isOpen": true,
        "notes": "",
-        "isIntermediate": false,
-        "useCache": true,
-        "version": "1.2.0",
+        "type": "l2i",
        "inputs": {
+          "board": {
+            "name": "board",
+            "label": ""
+          },
          "metadata": {
-            "id": "b1982e8a-14ad-4029-a697-beb30af8340f",
            "name": "metadata",
-            "fieldKind": "input",
-            "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "MetadataField"
-            }
+            "label": ""
          },
          "latents": {
-            "id": "f7669388-9f91-46cc-94fc-301fa7041c3e",
            "name": "latents",
-            "fieldKind": "input",
-            "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "LatentsField"
-            }
+            "label": ""
          },
          "vae": {
-            "id": "c6f2d4db-4d0a-4e3d-acb4-b5c5a228a3e2",
            "name": "vae",
-            "fieldKind": "input",
-            "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "VaeField"
-            }
+            "label": ""
          },
          "tiled": {
-            "id": "19ef7d31-d96f-4e94-b7e5-95914e9076fc",
            "name": "tiled",
-            "fieldKind": "input",
            "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "BooleanField"
-            },
            "value": false
          },
          "fp32": {
-            "id": "a9454533-8ab7-4225-b411-646dc5e76d00",
            "name": "fp32",
-            "fieldKind": "input",
            "label": "",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "BooleanField"
-            },
            "value": false
          }
        },
-        "outputs": {
-          "image": {
-            "id": "4f81274e-e216-47f3-9fb6-f97493a40e6f",
-            "name": "image",
-            "fieldKind": "output",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "ImageField"
-            }
-          },
-          "width": {
-            "id": "61a9acfb-1547-4f1e-8214-e89bd3855ee5",
-            "name": "width",
-            "fieldKind": "output",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "IntegerField"
-            }
-          },
-          "height": {
-            "id": "b15cc793-4172-4b07-bcf4-5627bbc7d0d7",
-            "name": "height",
-            "fieldKind": "output",
-            "type": {
-              "isCollection": false,
-              "isCollectionOrScalar": false,
-              "name": "IntegerField"
-            }
-          }
-        }
+        "isOpen": true,
+        "isIntermediate": false,
+        "useCache": true
      },
      "position": {
        "x": 4450,
        "y": -550
-      },
-      "width": 320,
-      "height": 224
+      }
    }
  ],
  "edges": [
--- a/invokeai/app/services/workflow_records/default_workflows/Tiled
+++ b/invokeai/app/services/workflow_records/default_workflows/Tiled
--- a/invokeai/backend/model_manager/starter_models.py
+++ b/invokeai/backend/model_manager/starter_models.py
@@ -1,149 +1,156 @@
-from dataclasses import dataclass
 from typing import Optional

+from pydantic import BaseModel
+
 from invokeai.backend.model_manager.config import BaseModelType, ModelType


-@dataclass
-class StarterModel:
+class StarterModelWithoutDependencies(BaseModel):
    description: str
    source: str
    name: str
    base: BaseModelType
    type: ModelType
-    # Optional list of model source dependencies that need to be installed before this model can be used
-    dependencies: Optional[list[str]] = None
    is_installed: bool = False


+class StarterModel(StarterModelWithoutDependencies):
+    # Optional list of model source dependencies that need to be installed before this model can be used
+    dependencies: Optional[list[StarterModelWithoutDependencies]] = None
+
+
+sdxl_fp16_vae_fix = StarterModel(
+    name="sdxl-vae-fp16-fix",
+    base=BaseModelType.StableDiffusionXL,
+    source="madebyollin/sdxl-vae-fp16-fix",
+    description="SDXL VAE that works with FP16.",
+    type=ModelType.VAE,
+)
+
+ip_adapter_sd_image_encoder = StarterModel(
+    name="IP Adapter SD1.5 Image Encoder",
+    base=BaseModelType.StableDiffusion1,
+    source="InvokeAI/ip_adapter_sd_image_encoder",
+    description="IP Adapter SD Image Encoder",
+    type=ModelType.CLIPVision,
+)
+
+ip_adapter_sdxl_image_encoder = StarterModel(
+    name="IP Adapter SDXL Image Encoder",
+    base=BaseModelType.StableDiffusionXL,
+    source="InvokeAI/ip_adapter_sdxl_image_encoder",
+    description="IP Adapter SDXL Image Encoder",
+    type=ModelType.CLIPVision,
+)
+
+cyberrealistic_negative = StarterModel(
+    name="CyberRealistic Negative v3",
+    base=BaseModelType.StableDiffusion1,
+    source="https://huggingface.co/cyberdelia/CyberRealistic_Negative/resolve/main/CyberRealistic_Negative_v3.pt",
+    description="Negative embedding specifically for use with CyberRealistic.",
+    type=ModelType.TextualInversion,
+)
+
 # List of starter models, displayed on the frontend.
 # The order/sort of this list is not changed by the frontend - set it how you want it here.
 STARTER_MODELS: list[StarterModel] = [
    # region: Main
    StarterModel(
-        name="SD 1.5 (base)",
+        name="CyberRealistic v4.1",
        base=BaseModelType.StableDiffusion1,
-        source="runwayml/stable-diffusion-v1-5",
-        description="Stable Diffusion version 1.5 diffusers model (4.27 GB)",
+        source="https://huggingface.co/cyberdelia/CyberRealistic/resolve/main/CyberRealistic_V4.1_FP16.safetensors",
+        description="Photorealistic model. See other variants in HF repo 'cyberdelia/CyberRealistic'.",
+        type=ModelType.Main,
+        dependencies=[cyberrealistic_negative],
+    ),
+    StarterModel(
+        name="ReV Animated",
+        base=BaseModelType.StableDiffusion1,
+        source="stablediffusionapi/rev-animated",
+        description="Fantasy and anime style images.",
        type=ModelType.Main,
    ),
    StarterModel(
-        name="SD 1.5 (inpainting)",
+        name="Dreamshaper 8",
        base=BaseModelType.StableDiffusion1,
-        source="runwayml/stable-diffusion-inpainting",
-        description="RunwayML SD 1.5 model optimized for inpainting, diffusers version (4.27 GB)",
+        source="Lykon/dreamshaper-8",
+        description="Popular versatile model.",
        type=ModelType.Main,
    ),
    StarterModel(
-        name="Analog Diffusion",
+        name="Dreamshaper 8 (inpainting)",
        base=BaseModelType.StableDiffusion1,
-        source="wavymulder/Analog-Diffusion",
-        description="An SD-1.5 model trained on diverse analog photographs (2.13 GB)",
+        source="Lykon/dreamshaper-8-inpainting",
+        description="Inpainting version of Dreamshaper 8.",
        type=ModelType.Main,
    ),
    StarterModel(
        name="Deliberate v5",
        base=BaseModelType.StableDiffusion1,
        source="https://huggingface.co/XpucT/Deliberate/resolve/main/Deliberate_v5.safetensors",
-        description="Versatile model that produces detailed images up to 768px (4.27 GB)",
+        description="Popular versatile model",
        type=ModelType.Main,
    ),
    StarterModel(
-        name="Dungeons and Diffusion",
+        name="Deliberate v5 (inpainting)",
        base=BaseModelType.StableDiffusion1,
-        source="0xJustin/Dungeons-and-Diffusion",
-        description="Dungeons & Dragons characters (2.13 GB)",
+        source="https://huggingface.co/XpucT/Deliberate/resolve/main/Deliberate_v5-inpainting.safetensors",
+        description="Inpainting version of Deliberate v5.",
        type=ModelType.Main,
    ),
    StarterModel(
-        name="dreamlike photoreal v2",
-        base=BaseModelType.StableDiffusion1,
-        source="dreamlike-art/dreamlike-photoreal-2.0",
-        description="A photorealistic model trained on 768 pixel images based on SD 1.5 (2.13 GB)",
-        type=ModelType.Main,
-    ),
-    StarterModel(
-        name="Inkpunk Diffusion",
-        base=BaseModelType.StableDiffusion1,
-        source="Envvi/Inkpunk-Diffusion",
-        description='Stylized illustrations inspired by Gorillaz, FLCL and Shinkawa; prompt with "nvinkpunk" (4.27 GB)',
-        type=ModelType.Main,
-    ),
-    StarterModel(
-        name="OpenJourney",
-        base=BaseModelType.StableDiffusion1,
-        source="prompthero/openjourney",
-        description='An SD 1.5 model fine tuned on Midjourney; prompt with "mdjrny-v4 style" (2.13 GB)',
-        type=ModelType.Main,
-    ),
-    StarterModel(
-        name="seek.art MEGA",
-        base=BaseModelType.StableDiffusion1,
-        source="coreco/seek.art_MEGA",
-        description='A general use SD-1.5 "anything" model that supports multiple styles (2.1 GB)',
-        type=ModelType.Main,
-    ),
-    StarterModel(
-        name="TrinArt v2",
-        base=BaseModelType.StableDiffusion1,
-        source="naclbit/trinart_stable_diffusion_v2",
-        description="An SD-1.5 model finetuned with ~40K assorted high resolution manga/anime-style images (2.13 GB)",
-        type=ModelType.Main,
-    ),
-    StarterModel(
-        name="SD 2.1 (base)",
-        base=BaseModelType.StableDiffusion2,
-        source="stabilityai/stable-diffusion-2-1",
-        description="Stable Diffusion version 2.1 diffusers model, trained on 768 pixel images (5.21 GB)",
-        type=ModelType.Main,
-    ),
-    StarterModel(
-        name="SD 2.0 (inpainting)",
-        base=BaseModelType.StableDiffusion2,
-        source="stabilityai/stable-diffusion-2-inpainting",
-        description="Stable Diffusion version 2.0 inpainting model (5.21 GB)",
-        type=ModelType.Main,
-    ),
-    StarterModel(
-        name="SDXL (base)",
+        name="Juggernaut XL v9",
        base=BaseModelType.StableDiffusionXL,
-        source="stabilityai/stable-diffusion-xl-base-1.0",
-        description="Stable Diffusion XL base model (12 GB)",
+        source="RunDiffusion/Juggernaut-XL-v9",
+        description="Photograph-focused model.",
        type=ModelType.Main,
+        dependencies=[sdxl_fp16_vae_fix],
+    ),
+    StarterModel(
+        name="Dreamshaper XL v2 Turbo",
+        base=BaseModelType.StableDiffusionXL,
+        source="Lykon/dreamshaper-xl-v2-turbo",
+        description="For turbo, use CFG Scale 2, 4-8 steps, DPM++ SDE Karras. For non-turbo, use CFG Scale 6, 20-40 steps, DPM++ 2M SDE Karras.",
+        type=ModelType.Main,
+        dependencies=[sdxl_fp16_vae_fix],
    ),
    StarterModel(
        name="SDXL Refiner",
        base=BaseModelType.StableDiffusionXLRefiner,
        source="stabilityai/stable-diffusion-xl-refiner-1.0",
-        description="Stable Diffusion XL refiner model (12 GB)",
+        description="The OG Stable Diffusion XL refiner model.",
        type=ModelType.Main,
+        dependencies=[sdxl_fp16_vae_fix],
    ),
    # endregion
    # region VAE
-    StarterModel(
-        name="sdxl-vae-fp16-fix",
-        base=BaseModelType.StableDiffusionXL,
-        source="madebyollin/sdxl-vae-fp16-fix",
-        description="Version of the SDXL-1.0 VAE that works in half precision mode",
-        type=ModelType.VAE,
-    ),
+    sdxl_fp16_vae_fix,
    # endregion
    # region LoRA
    StarterModel(
-        name="FlatColor",
-        base=BaseModelType.StableDiffusion1,
-        source="https://civitai.com/models/6433/loraflatcolor",
-        description="A LoRA that generates scenery using solid blocks of color",
+        name="Alien Style",
+        base=BaseModelType.StableDiffusionXL,
+        source="https://huggingface.co/RalFinger/alien-style-lora-sdxl/resolve/main/alienzkin-sdxl.safetensors",
+        description="Futuristic, intricate alien styles. Trigger with 'alienzkin'.",
        type=ModelType.LoRA,
    ),
    StarterModel(
-        name="Ink scenery",
-        base=BaseModelType.StableDiffusion1,
-        source="https://civitai.com/api/download/models/83390",
-        description="Generate india ink-like landscapes",
+        name="Noodles Style",
+        base=BaseModelType.StableDiffusionXL,
+        source="https://huggingface.co/RalFinger/noodles-lora-sdxl/resolve/main/noodlez-sdxl.safetensors",
+        description="Never-ending, no-holds-barred, noodle nightmare. Trigger with 'noodlez'.",
        type=ModelType.LoRA,
    ),
    # endregion
+    # region TI
+    StarterModel(
+        name="EasyNegative",
+        base=BaseModelType.StableDiffusion1,
+        source="https://huggingface.co/embed/EasyNegative/resolve/main/EasyNegative.safetensors",
+        description="A textual inversion to use in the negative prompt to reduce bad anatomy",
+        type=ModelType.TextualInversion,
+    ),
+    # endregion
    # region IP Adapter
    StarterModel(
        name="IP Adapter",
@@ -151,7 +158,7 @@ STARTER_MODELS: list[StarterModel] = [
        source="InvokeAI/ip_adapter_sd15",
        description="IP-Adapter for SD 1.5 models",
        type=ModelType.IPAdapter,
-        dependencies=["InvokeAI/ip_adapter_sd_image_encoder"],
+        dependencies=[ip_adapter_sd_image_encoder],
    ),
    StarterModel(
        name="IP Adapter Plus",
@@ -159,7 +166,7 @@ STARTER_MODELS: list[StarterModel] = [
        source="InvokeAI/ip_adapter_plus_sd15",
        description="Refined IP-Adapter for SD 1.5 models",
        type=ModelType.IPAdapter,
-        dependencies=["InvokeAI/ip_adapter_sd_image_encoder"],
+        dependencies=[ip_adapter_sd_image_encoder],
    ),
    StarterModel(
        name="IP Adapter Plus Face",
@@ -167,7 +174,7 @@ STARTER_MODELS: list[StarterModel] = [
        source="InvokeAI/ip_adapter_plus_face_sd15",
        description="Refined IP-Adapter for SD 1.5 models, adapted for faces",
        type=ModelType.IPAdapter,
-        dependencies=["InvokeAI/ip_adapter_sd_image_encoder"],
+        dependencies=[ip_adapter_sd_image_encoder],
    ),
    StarterModel(
        name="IP Adapter SDXL",
@@ -175,7 +182,7 @@ STARTER_MODELS: list[StarterModel] = [
        source="InvokeAI/ip_adapter_sdxl",
        description="IP-Adapter for SDXL models",
        type=ModelType.IPAdapter,
-        dependencies=["InvokeAI/ip_adapter_sdxl_image_encoder"],
+        dependencies=[ip_adapter_sdxl_image_encoder],
    ),
    # endregion
    # region ControlNet
@@ -378,15 +385,6 @@ STARTER_MODELS: list[StarterModel] = [
        type=ModelType.T2IAdapter,
    ),
    # endregion
-    # region TI
-    StarterModel(
-        name="EasyNegative",
-        base=BaseModelType.StableDiffusion1,
-        source="https://huggingface.co/embed/EasyNegative/resolve/main/EasyNegative.safetensors",
-        description="A textual inversion to use in the negative prompt to reduce bad anatomy",
-        type=ModelType.TextualInversion,
-    ),
-    # endregion
 ]

 assert len(STARTER_MODELS) == len({m.source for m in STARTER_MODELS}), "Duplicate starter models"
--- a/invokeai/frontend/web/src/common/util/colorCodeTransformers.ts
+++ b/invokeai/frontend/web/src/common/util/colorCodeTransformers.ts
@@ -0,0 +1,17 @@
+import type { RgbaColor } from 'react-colorful';
+
+export function rgbaToHex(color: RgbaColor, alpha: boolean = false): string {
+  const hex = ((1 << 24) + (color.r << 16) + (color.g << 8) + color.b).toString(16).slice(1);
+  const alphaHex = Math.round(color.a * 255)
+    .toString(16)
+    .padStart(2, '0');
+  return alpha ? `#${hex}${alphaHex}` : `#${hex}`;
+}
+
+export function hexToRGBA(hex: string, alpha: number) {
+  hex = hex.replace(/^#/, '');
+  const r = parseInt(hex.substring(0, 2), 16);
+  const g = parseInt(hex.substring(2, 4), 16);
+  const b = parseInt(hex.substring(4, 6), 16);
+  return { r, g, b, a: alpha };
+}
--- a/invokeai/frontend/web/src/features/modelManagerV2/subpanels/AddModelPanel/StarterModels/StartModelsResultItem.tsx
+++ b/invokeai/frontend/web/src/features/modelManagerV2/subpanels/AddModelPanel/StarterModels/StartModelsResultItem.tsx
@@ -18,7 +18,7 @@ export const StarterModelsResultItem = ({ result }: Props) => {
  const allSources = useMemo(() => {
    const _allSources = [result.source];
    if (result.dependencies) {
-      _allSources.push(...result.dependencies);
+      _allSources.push(...result.dependencies.map((d) => d.source));
    }
    return _allSources;
  }, [result]);
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ColorFieldInputComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/ColorFieldInputComponent.tsx
@@ -1,9 +1,12 @@
+import { Box } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
+import { hexToRGBA, rgbaToHex } from 'common/util/colorCodeTransformers';
+import { colorTokenToCssVar } from 'common/util/colorTokenToCssVar';
 import { fieldColorValueChanged } from 'features/nodes/store/nodesSlice';
 import type { ColorFieldInputInstance, ColorFieldInputTemplate } from 'features/nodes/types/field';
 import { memo, useCallback, useMemo } from 'react';
 import type { RgbaColor } from 'react-colorful';
-import { RgbaColorPicker } from 'react-colorful';
+import { HexColorInput, RgbaColorPicker } from 'react-colorful';

 import type { FieldComponentProps } from './types';

@@ -26,8 +29,12 @@ const ColorFieldInputComponent = (props: FieldComponentProps<ColorFieldInputInst
  }, [field.value]);

  const handleValueChanged = useCallback(
-    (value: RgbaColor) => {
+    (value: RgbaColor | string) => {
      // We need to multiply by 255 to convert from 0-1 to 0-255, which is what the backend needs
+      if (typeof value === 'string') {
+        value = hexToRGBA(value, 1);
+      }
+
      const { r, g, b, a: _a } = value;
      const a = Math.round(_a * 255);
      dispatch(
@@ -41,7 +48,27 @@ const ColorFieldInputComponent = (props: FieldComponentProps<ColorFieldInputInst
    [dispatch, field.name, nodeId]
  );

-  return <RgbaColorPicker className="nodrag" color={color} onChange={handleValueChanged} />;
+  return (
+    <Box sx={{ display: 'flex', flexDirection: 'column', gap: 2 }}>
+      <HexColorInput
+        style={{
+          background: colorTokenToCssVar('base.700'),
+          color: colorTokenToCssVar('base.100'),
+          fontSize: 12,
+          paddingInlineStart: 10,
+          borderRadius: 4,
+          paddingBlock: 4,
+          outline: 'none',
+        }}
+        className="nodrag"
+        color={rgbaToHex(color, true)}
+        onChange={handleValueChanged}
+        prefixed
+        alpha
+      />
+      <RgbaColorPicker className="nodrag" color={color} onChange={handleValueChanged} style={{ width: '100%' }} />
+    </Box>
+  );
 };

 export default memo(ColorFieldInputComponent);
--- a/invokeai/frontend/web/src/services/api/schema.ts
+++ b/invokeai/frontend/web/src/services/api/schema.ts
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "4.0.0rc4"
+__version__ = "4.0.0rc5"
--- a/tests/app/services/model_install/test_model_install.py
+++ b/tests/app/services/model_install/test_model_install.py
@@ -20,7 +20,7 @@ from invokeai.app.services.model_install import (
    ModelInstallServiceBase,
    URLModelSource,
 )
-from invokeai.app.services.model_records import UnknownModelException
+from invokeai.app.services.model_records import ModelRecordChanges, UnknownModelException
 from invokeai.backend.model_manager.config import BaseModelType, InvalidModelConfigException, ModelFormat, ModelType
 from tests.backend.model_manager.model_manager_fixtures import *  # noqa F403

@@ -82,6 +82,18 @@ def test_install(
    assert model_record.source == embedding_file.as_posix()


+def test_rename(
+    mm2_installer: ModelInstallServiceBase, embedding_file: Path, mm2_app_config: InvokeAIAppConfig
+) -> None:
+    store = mm2_installer.record_store
+    key = mm2_installer.install_path(embedding_file)
+    model_record = store.get_model(key)
+    assert model_record.path.endswith("sd-1/embedding/test_embedding.safetensors")
+    store.update_model(key, ModelRecordChanges(name="new_name.safetensors", base=BaseModelType("sd-2")))
+    new_model_record = mm2_installer.sync_model_path(key)
+    assert new_model_record.path.endswith("sd-2/embedding/new_name.safetensors")
+
+
@pytest.mark.parametrize(
    "fixture_name,size,destination",
    [
Author	SHA1	Message	Date
psychedelicious	cf0c7d66ed	chore: v4.0.0rc5	2024-03-22 02:35:16 -07:00
psychedelicious	5b016bf376	fix(nodes): esrgan model name typo	2024-03-22 02:22:19 -07:00
psychedelicious	e7a096dec1	fix(mm): remove proteus model This model is SDXL and relies on CLIP Skip. We don't support that yet.	2024-03-22 02:22:03 -07:00
psychedelicious	281ecd5a9a	chore(nodes): update default workflows for v4 All workflows updated and tested	2024-03-22 02:21:33 -07:00
Lincoln Stein	9cbf78542c	remove dangling comment	2024-03-22 16:35:42 +11:00
Lincoln Stein	34f5259980	catch ^C at startup time while models are being scanned	2024-03-22 16:35:42 +11:00
psychedelicious	2ecbb9f720	fix(ui): model dependency parsing	2024-03-22 14:59:33 +11:00
psychedelicious	ab36d7c0f2	chore(ui): typegen	2024-03-22 14:59:33 +11:00
psychedelicious	05d6661877	feat(mm): revised list of starter models - Enriched dependencies to not just be a string - allows reuse of a dependency as a starter model _and_ dependency of another model. For example, all the SDXL models have the fp16 VAE as a dependency, but you can also download it on its own. - Looked at popular models on the major model sites to select the list. No SD2 models. All hosted on HF.	2024-03-22 14:59:33 +11:00
Lincoln Stein	eb558d72d8	Fix minor bugs involving model manager handling of model paths (#6024 ) * Fix minor bugs involving model manager handling of model paths - Leave models found in the `autoimport` directory there. Do not move them into the `models` hierarchy. - If model name, type or base is updated and model is in the `models` directory, update its path as appropriate. - On startup during model scanning, if a model's path is a symbolic link, then resolve to an absolute path before deciding it is a new model that must be hashed and registered. (This prevents needless hashing at startup time). * fix issue with dropped suffix --------- Co-authored-by: Lincoln Stein <lstein@gmail.com>	2024-03-22 01:14:45 +00:00
blessedcoolant	4687739319	ui: Update rgbaToHex to optionally return alpha value or not	2024-03-22 06:23:51 +05:30
blessedcoolant	168b35f86d	fix: make the styling of the hex code component consistent with others	2024-03-22 06:23:51 +05:30
blessedcoolant	07fe0e8dc8	chore: Move color transformers to new file	2024-03-22 06:23:51 +05:30
blessedcoolant	45fc7d8054	feat: add Hex Code to ColorField Component	2024-03-22 06:23:51 +05:30
blessedcoolant	eafc85cfe3	feat: Add Mask from ID Node	2024-03-22 06:23:51 +05:30