Merge branch 'main' into lstein/new-model-manager

invokeai/app/invocations/prompt.py

@@ -2,8 +2,8 @@ from typing import Literal
 
 from pydantic.fields import Field
 
-from .baseinvocation import BaseInvocationOutput
+from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
-
+from dynamicprompts.generators import RandomPromptGenerator, CombinatorialPromptGenerator
 
 class PromptOutput(BaseInvocationOutput):
     """Base class for invocations that output a prompt"""
@@ -20,3 +20,38 @@ class PromptOutput(BaseInvocationOutput):
                 'prompt',
             ]
         }
+
+
+class PromptCollectionOutput(BaseInvocationOutput):
+    """Base class for invocations that output a collection of prompts"""
+
+    # fmt: off
+    type: Literal["prompt_collection_output"] = "prompt_collection_output"
+
+    prompt_collection: list[str] = Field(description="The output prompt collection")
+    count: int = Field(description="The size of the prompt collection")
+    # fmt: on
+
+    class Config:
+        schema_extra = {"required": ["type", "prompt_collection", "count"]}
+
+
+class DynamicPromptInvocation(BaseInvocation):
+    """Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator"""
+
+    type: Literal["dynamic_prompt"] = "dynamic_prompt"
+    prompt: str = Field(description="The prompt to parse with dynamicprompts")
+    max_prompts: int = Field(default=1, description="The number of prompts to generate")
+    combinatorial: bool = Field(
+        default=False, description="Whether to use the combinatorial generator"
+    )
+
+    def invoke(self, context: InvocationContext) -> PromptCollectionOutput:
+        if self.combinatorial:
+            generator = CombinatorialPromptGenerator()
+            prompts = generator.generate(self.prompt, max_prompts=self.max_prompts)
+        else:
+            generator = RandomPromptGenerator()
+            prompts = generator.generate(self.prompt, num_images=self.max_prompts)
+
+        return PromptCollectionOutput(prompt_collection=prompts, count=len(prompts))

invokeai/app/services/image_file_storage.py

@@ -1,5 +1,4 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
-import os
 from abc import ABC, abstractmethod
 from pathlib import Path
 from queue import Queue
@@ -76,28 +75,26 @@ class ImageFileStorageBase(ABC):
 class DiskImageFileStorage(ImageFileStorageBase):
     """Stores images on disk"""
 
-    __output_folder: str
+    __output_folder: Path
     __cache_ids: Queue  # TODO: this is an incredibly naive cache
-    __cache: Dict[str, PILImageType]
+    __cache: Dict[Path, PILImageType]
     __max_cache_size: int
 
-    def __init__(self, output_folder: str):
+    def __init__(self, output_folder: str | Path):
-        self.__output_folder = output_folder
         self.__cache = dict()
         self.__cache_ids = Queue()
         self.__max_cache_size = 10  # TODO: get this from config
 
-        Path(output_folder).mkdir(parents=True, exist_ok=True)
+        self.__output_folder: Path = output_folder if isinstance(output_folder, Path) else Path(output_folder)
+        self.__thumbnails_folder = self.__output_folder / 'thumbnails'
 
-        # TODO: don't hard-code. get/save/delete should maybe take subpath?
+        # Validate required output folders at launch
-        Path(os.path.join(output_folder)).mkdir(parents=True, exist_ok=True)
+        self.__validate_storage_folders()
-        Path(os.path.join(output_folder, "thumbnails")).mkdir(
-            parents=True, exist_ok=True
-        )
 
     def get(self, image_name: str) -> PILImageType:
         try:
             image_path = self.get_path(image_name)
+            
             cache_item = self.__get_cache(image_path)
             if cache_item:
                 return cache_item
@@ -116,6 +113,7 @@ class DiskImageFileStorage(ImageFileStorageBase):
         thumbnail_size: int = 256,
     ) -> None:
         try:
+            self.__validate_storage_folders()
             image_path = self.get_path(image_name)
 
             if metadata is not None:
@@ -137,10 +135,9 @@ class DiskImageFileStorage(ImageFileStorageBase):
 
     def delete(self, image_name: str) -> None:
         try:
-            basename = os.path.basename(image_name)
+            image_path = self.get_path(image_name)
-            image_path = self.get_path(basename)
 
-            if os.path.exists(image_path):
+            if image_path.exists():
                 send2trash(image_path)
             if image_path in self.__cache:
                 del self.__cache[image_path]
@@ -148,7 +145,7 @@ class DiskImageFileStorage(ImageFileStorageBase):
             thumbnail_name = get_thumbnail_name(image_name)
             thumbnail_path = self.get_path(thumbnail_name, True)
 
-            if os.path.exists(thumbnail_path):
+            if thumbnail_path.exists():
                 send2trash(thumbnail_path)
             if thumbnail_path in self.__cache:
                 del self.__cache[thumbnail_path]
@@ -156,41 +153,33 @@ class DiskImageFileStorage(ImageFileStorageBase):
             raise ImageFileDeleteException from e
 
     # TODO: make this a bit more flexible for e.g. cloud storage
-    def get_path(self, image_name: str, thumbnail: bool = False) -> str:
+    def get_path(self, image_name: str, thumbnail: bool = False) -> Path:
-        # strip out any relative path shenanigans
+        path = self.__output_folder / image_name
-        basename = os.path.basename(image_name)
+        
-
         if thumbnail:
-            thumbnail_name = get_thumbnail_name(basename)
+            thumbnail_name = get_thumbnail_name(image_name)
-            path = os.path.join(
+            path = self.__thumbnails_folder / thumbnail_name
-                self.__output_folder,
-                "thumbnails",
-                thumbnail_name,
-            )
-        else:
-            path = os.path.join(self.__output_folder, basename)
 
-        abspath = os.path.abspath(path)
+        return path
 
-        return abspath
+    def validate_path(self, path: str | Path) -> bool:
-
-    def validate_path(self, path: str) -> bool:
         """Validates the path given for an image or thumbnail."""
-        try:
+        path = path if isinstance(path, Path) else Path(path)
-            os.stat(path)
+        return path.exists()
-            return True
+    
-        except:
+    def __validate_storage_folders(self) -> None:
-            return False
+        """Checks if the required output folders exist and create them if they don't"""
+        folders: list[Path] = [self.__output_folder, self.__thumbnails_folder]
+        for folder in folders:
+            folder.mkdir(parents=True, exist_ok=True)
 
-    def __get_cache(self, image_name: str) -> PILImageType | None:
+    def __get_cache(self, image_name: Path) -> PILImageType | None:
         return None if image_name not in self.__cache else self.__cache[image_name]
 
-    def __set_cache(self, image_name: str, image: PILImageType):
+    def __set_cache(self, image_name: Path, image: PILImageType):
         if not image_name in self.__cache:
             self.__cache[image_name] = image
-            self.__cache_ids.put(
+            self.__cache_ids.put(image_name)  # TODO: this should refresh position for LRU cache
-                image_name
-            )  # TODO: this should refresh position for LRU cache
             if len(self.__cache) > self.__max_cache_size:
                 cache_id = self.__cache_ids.get()
                 if cache_id in self.__cache:

invokeai/app/services/latent_storage.py

@@ -1,6 +1,5 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
 
-import os
 from abc import ABC, abstractmethod
 from pathlib import Path
 from queue import Queue
@@ -70,24 +69,26 @@ class ForwardCacheLatentsStorage(LatentsStorageBase):
 class DiskLatentsStorage(LatentsStorageBase):
     """Stores latents in a folder on disk without caching"""
 
-    __output_folder: str
+    __output_folder: str | Path
 
-    def __init__(self, output_folder: str):
+    def __init__(self, output_folder: str | Path):
-        self.__output_folder = output_folder
+        self.__output_folder = output_folder if isinstance(output_folder, Path) else Path(output_folder)
-        Path(output_folder).mkdir(parents=True, exist_ok=True)
+        self.__output_folder.mkdir(parents=True, exist_ok=True)
 
     def get(self, name: str) -> torch.Tensor:
         latent_path = self.get_path(name)
         return torch.load(latent_path)
 
     def save(self, name: str, data: torch.Tensor) -> None:
+        self.__output_folder.mkdir(parents=True, exist_ok=True)
         latent_path = self.get_path(name)
         torch.save(data, latent_path)
 
     def delete(self, name: str) -> None:
         latent_path = self.get_path(name)
-        os.remove(latent_path)
+        latent_path.unlink()
+        
 
-    def get_path(self, name: str) -> str:
+    def get_path(self, name: str) -> Path:
-        return os.path.join(self.__output_folder, name)
+        return self.__output_folder / name
     

invokeai/frontend/web/src/services/api/index.ts

@@ -24,6 +24,7 @@ export type { CreateModelRequest } from './models/CreateModelRequest';
 export type { CvInpaintInvocation } from './models/CvInpaintInvocation';
 export type { DiffusersModelInfo } from './models/DiffusersModelInfo';
 export type { DivideInvocation } from './models/DivideInvocation';
+export type { DynamicPromptInvocation } from './models/DynamicPromptInvocation';
 export type { Edge } from './models/Edge';
 export type { EdgeConnection } from './models/EdgeConnection';
 export type { FloatCollectionOutput } from './models/FloatCollectionOutput';
@@ -86,6 +87,7 @@ export type { PaginatedResults_GraphExecutionState_ } from './models/PaginatedRe
 export type { ParamFloatInvocation } from './models/ParamFloatInvocation';
 export type { ParamIntInvocation } from './models/ParamIntInvocation';
 export type { PidiImageProcessorInvocation } from './models/PidiImageProcessorInvocation';
+export type { PromptCollectionOutput } from './models/PromptCollectionOutput';
 export type { PromptOutput } from './models/PromptOutput';
 export type { RandomIntInvocation } from './models/RandomIntInvocation';
 export type { RandomRangeInvocation } from './models/RandomRangeInvocation';

invokeai/frontend/web/src/services/api/models/DynamicPromptInvocation.ts

@@ -0,0 +1,31 @@
+/* istanbul ignore file */
+/* tslint:disable */
+/* eslint-disable */
+
+/**
+ * Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator
+ */
+export type DynamicPromptInvocation = {
+  /**
+   * The id of this node. Must be unique among all nodes.
+   */
+  id: string;
+  /**
+   * Whether or not this node is an intermediate node.
+   */
+  is_intermediate?: boolean;
+  type?: 'dynamic_prompt';
+  /**
+   * The prompt to parse with dynamicprompts
+   */
+  prompt: string;
+  /**
+   * The number of prompts to generate
+   */
+  max_prompts?: number;
+  /**
+   * Whether to use the combinatorial generator
+   */
+  combinatorial?: boolean;
+};
+

invokeai/frontend/web/src/services/api/models/Graph.ts

@@ -10,6 +10,7 @@ import type { ContentShuffleImageProcessorInvocation } from './ContentShuffleIma
 import type { ControlNetInvocation } from './ControlNetInvocation';
 import type { CvInpaintInvocation } from './CvInpaintInvocation';
 import type { DivideInvocation } from './DivideInvocation';
+import type { DynamicPromptInvocation } from './DynamicPromptInvocation';
 import type { Edge } from './Edge';
 import type { FloatLinearRangeInvocation } from './FloatLinearRangeInvocation';
 import type { GraphInvocation } from './GraphInvocation';
@@ -71,7 +72,7 @@ export type Graph = {
   /**
    * The nodes in this graph
    */
-  nodes?: Record<string, (LoadImageInvocation | ShowImageInvocation | ImageCropInvocation | ImagePasteInvocation | MaskFromAlphaInvocation | ImageMultiplyInvocation | ImageChannelInvocation | ImageConvertInvocation | ImageBlurInvocation | ImageResizeInvocation | ImageScaleInvocation | ImageLerpInvocation | ImageInverseLerpInvocation | ControlNetInvocation | ImageProcessorInvocation | CompelInvocation | AddInvocation | SubtractInvocation | MultiplyInvocation | DivideInvocation | RandomIntInvocation | ParamIntInvocation | ParamFloatInvocation | NoiseInvocation | TextToLatentsInvocation | LatentsToImageInvocation | ResizeLatentsInvocation | ScaleLatentsInvocation | ImageToLatentsInvocation | CvInpaintInvocation | RangeInvocation | RangeOfSizeInvocation | RandomRangeInvocation | FloatLinearRangeInvocation | StepParamEasingInvocation | UpscaleInvocation | RestoreFaceInvocation | TextToImageInvocation | InfillColorInvocation | InfillTileInvocation | InfillPatchMatchInvocation | GraphInvocation | IterateInvocation | CollectInvocation | CannyImageProcessorInvocation | HedImageProcessorInvocation | LineartImageProcessorInvocation | LineartAnimeImageProcessorInvocation | OpenposeImageProcessorInvocation | MidasDepthImageProcessorInvocation | NormalbaeImageProcessorInvocation | MlsdImageProcessorInvocation | PidiImageProcessorInvocation | ContentShuffleImageProcessorInvocation | ZoeDepthImageProcessorInvocation | MediapipeFaceProcessorInvocation | LatentsToLatentsInvocation | ImageToImageInvocation | InpaintInvocation)>;
+  nodes?: Record<string, (LoadImageInvocation | ShowImageInvocation | ImageCropInvocation | ImagePasteInvocation | MaskFromAlphaInvocation | ImageMultiplyInvocation | ImageChannelInvocation | ImageConvertInvocation | ImageBlurInvocation | ImageResizeInvocation | ImageScaleInvocation | ImageLerpInvocation | ImageInverseLerpInvocation | ControlNetInvocation | ImageProcessorInvocation | DynamicPromptInvocation | CompelInvocation | AddInvocation | SubtractInvocation | MultiplyInvocation | DivideInvocation | RandomIntInvocation | ParamIntInvocation | ParamFloatInvocation | NoiseInvocation | TextToLatentsInvocation | LatentsToImageInvocation | ResizeLatentsInvocation | ScaleLatentsInvocation | ImageToLatentsInvocation | CvInpaintInvocation | RangeInvocation | RangeOfSizeInvocation | RandomRangeInvocation | FloatLinearRangeInvocation | StepParamEasingInvocation | UpscaleInvocation | RestoreFaceInvocation | TextToImageInvocation | InfillColorInvocation | InfillTileInvocation | InfillPatchMatchInvocation | GraphInvocation | IterateInvocation | CollectInvocation | CannyImageProcessorInvocation | HedImageProcessorInvocation | LineartImageProcessorInvocation | LineartAnimeImageProcessorInvocation | OpenposeImageProcessorInvocation | MidasDepthImageProcessorInvocation | NormalbaeImageProcessorInvocation | MlsdImageProcessorInvocation | PidiImageProcessorInvocation | ContentShuffleImageProcessorInvocation | ZoeDepthImageProcessorInvocation | MediapipeFaceProcessorInvocation | LatentsToLatentsInvocation | ImageToImageInvocation | InpaintInvocation)>;
   /**
    * The connections between nodes and their fields in this graph
    */

invokeai/frontend/web/src/services/api/models/GraphExecutionState.ts

@@ -16,6 +16,7 @@ import type { IterateInvocationOutput } from './IterateInvocationOutput';
 import type { LatentsOutput } from './LatentsOutput';
 import type { MaskOutput } from './MaskOutput';
 import type { NoiseOutput } from './NoiseOutput';
+import type { PromptCollectionOutput } from './PromptCollectionOutput';
 import type { PromptOutput } from './PromptOutput';
 
 /**
@@ -45,7 +46,7 @@ export type GraphExecutionState = {
   /**
    * The results of node executions
    */
-  results: Record<string, (ImageOutput | MaskOutput | ControlOutput | PromptOutput | CompelOutput | IntOutput | FloatOutput | LatentsOutput | NoiseOutput | IntCollectionOutput | FloatCollectionOutput | GraphInvocationOutput | IterateInvocationOutput | CollectInvocationOutput)>;
+  results: Record<string, (ImageOutput | MaskOutput | ControlOutput | PromptOutput | PromptCollectionOutput | CompelOutput | IntOutput | FloatOutput | LatentsOutput | NoiseOutput | IntCollectionOutput | FloatCollectionOutput | GraphInvocationOutput | IterateInvocationOutput | CollectInvocationOutput)>;
   /**
    * Errors raised when executing nodes
    */

invokeai/frontend/web/src/services/api/models/PromptCollectionOutput.ts

@@ -0,0 +1,19 @@
+/* istanbul ignore file */
+/* tslint:disable */
+/* eslint-disable */
+
+/**
+ * Base class for invocations that output a collection of prompts
+ */
+export type PromptCollectionOutput = {
+  type: 'prompt_collection_output';
+  /**
+   * The output prompt collection
+   */
+  prompt_collection: Array<string>;
+  /**
+   * The size of the prompt collection
+   */
+  count: number;
+};
+

invokeai/frontend/web/src/services/api/services/SessionsService.ts

@@ -9,6 +9,7 @@ import type { ContentShuffleImageProcessorInvocation } from '../models/ContentSh
 import type { ControlNetInvocation } from '../models/ControlNetInvocation';
 import type { CvInpaintInvocation } from '../models/CvInpaintInvocation';
 import type { DivideInvocation } from '../models/DivideInvocation';
+import type { DynamicPromptInvocation } from '../models/DynamicPromptInvocation';
 import type { Edge } from '../models/Edge';
 import type { FloatLinearRangeInvocation } from '../models/FloatLinearRangeInvocation';
 import type { Graph } from '../models/Graph';
@@ -173,7 +174,7 @@ export class SessionsService {
      * The id of the session
      */
     sessionId: string,
-    requestBody: (LoadImageInvocation | ShowImageInvocation | ImageCropInvocation | ImagePasteInvocation | MaskFromAlphaInvocation | ImageMultiplyInvocation | ImageChannelInvocation | ImageConvertInvocation | ImageBlurInvocation | ImageResizeInvocation | ImageScaleInvocation | ImageLerpInvocation | ImageInverseLerpInvocation | ControlNetInvocation | ImageProcessorInvocation | CompelInvocation | AddInvocation | SubtractInvocation | MultiplyInvocation | DivideInvocation | RandomIntInvocation | ParamIntInvocation | ParamFloatInvocation | NoiseInvocation | TextToLatentsInvocation | LatentsToImageInvocation | ResizeLatentsInvocation | ScaleLatentsInvocation | ImageToLatentsInvocation | CvInpaintInvocation | RangeInvocation | RangeOfSizeInvocation | RandomRangeInvocation | FloatLinearRangeInvocation | StepParamEasingInvocation | UpscaleInvocation | RestoreFaceInvocation | TextToImageInvocation | InfillColorInvocation | InfillTileInvocation | InfillPatchMatchInvocation | GraphInvocation | IterateInvocation | CollectInvocation | CannyImageProcessorInvocation | HedImageProcessorInvocation | LineartImageProcessorInvocation | LineartAnimeImageProcessorInvocation | OpenposeImageProcessorInvocation | MidasDepthImageProcessorInvocation | NormalbaeImageProcessorInvocation | MlsdImageProcessorInvocation | PidiImageProcessorInvocation | ContentShuffleImageProcessorInvocation | ZoeDepthImageProcessorInvocation | MediapipeFaceProcessorInvocation | LatentsToLatentsInvocation | ImageToImageInvocation | InpaintInvocation),
+    requestBody: (LoadImageInvocation | ShowImageInvocation | ImageCropInvocation | ImagePasteInvocation | MaskFromAlphaInvocation | ImageMultiplyInvocation | ImageChannelInvocation | ImageConvertInvocation | ImageBlurInvocation | ImageResizeInvocation | ImageScaleInvocation | ImageLerpInvocation | ImageInverseLerpInvocation | ControlNetInvocation | ImageProcessorInvocation | DynamicPromptInvocation | CompelInvocation | AddInvocation | SubtractInvocation | MultiplyInvocation | DivideInvocation | RandomIntInvocation | ParamIntInvocation | ParamFloatInvocation | NoiseInvocation | TextToLatentsInvocation | LatentsToImageInvocation | ResizeLatentsInvocation | ScaleLatentsInvocation | ImageToLatentsInvocation | CvInpaintInvocation | RangeInvocation | RangeOfSizeInvocation | RandomRangeInvocation | FloatLinearRangeInvocation | StepParamEasingInvocation | UpscaleInvocation | RestoreFaceInvocation | TextToImageInvocation | InfillColorInvocation | InfillTileInvocation | InfillPatchMatchInvocation | GraphInvocation | IterateInvocation | CollectInvocation | CannyImageProcessorInvocation | HedImageProcessorInvocation | LineartImageProcessorInvocation | LineartAnimeImageProcessorInvocation | OpenposeImageProcessorInvocation | MidasDepthImageProcessorInvocation | NormalbaeImageProcessorInvocation | MlsdImageProcessorInvocation | PidiImageProcessorInvocation | ContentShuffleImageProcessorInvocation | ZoeDepthImageProcessorInvocation | MediapipeFaceProcessorInvocation | LatentsToLatentsInvocation | ImageToImageInvocation | InpaintInvocation),
   }): CancelablePromise<string> {
     return __request(OpenAPI, {
       method: 'POST',
@@ -210,7 +211,7 @@ export class SessionsService {
      * The path to the node in the graph
      */
     nodePath: string,
-    requestBody: (LoadImageInvocation | ShowImageInvocation | ImageCropInvocation | ImagePasteInvocation | MaskFromAlphaInvocation | ImageMultiplyInvocation | ImageChannelInvocation | ImageConvertInvocation | ImageBlurInvocation | ImageResizeInvocation | ImageScaleInvocation | ImageLerpInvocation | ImageInverseLerpInvocation | ControlNetInvocation | ImageProcessorInvocation | CompelInvocation | AddInvocation | SubtractInvocation | MultiplyInvocation | DivideInvocation | RandomIntInvocation | ParamIntInvocation | ParamFloatInvocation | NoiseInvocation | TextToLatentsInvocation | LatentsToImageInvocation | ResizeLatentsInvocation | ScaleLatentsInvocation | ImageToLatentsInvocation | CvInpaintInvocation | RangeInvocation | RangeOfSizeInvocation | RandomRangeInvocation | FloatLinearRangeInvocation | StepParamEasingInvocation | UpscaleInvocation | RestoreFaceInvocation | TextToImageInvocation | InfillColorInvocation | InfillTileInvocation | InfillPatchMatchInvocation | GraphInvocation | IterateInvocation | CollectInvocation | CannyImageProcessorInvocation | HedImageProcessorInvocation | LineartImageProcessorInvocation | LineartAnimeImageProcessorInvocation | OpenposeImageProcessorInvocation | MidasDepthImageProcessorInvocation | NormalbaeImageProcessorInvocation | MlsdImageProcessorInvocation | PidiImageProcessorInvocation | ContentShuffleImageProcessorInvocation | ZoeDepthImageProcessorInvocation | MediapipeFaceProcessorInvocation | LatentsToLatentsInvocation | ImageToImageInvocation | InpaintInvocation),
+    requestBody: (LoadImageInvocation | ShowImageInvocation | ImageCropInvocation | ImagePasteInvocation | MaskFromAlphaInvocation | ImageMultiplyInvocation | ImageChannelInvocation | ImageConvertInvocation | ImageBlurInvocation | ImageResizeInvocation | ImageScaleInvocation | ImageLerpInvocation | ImageInverseLerpInvocation | ControlNetInvocation | ImageProcessorInvocation | DynamicPromptInvocation | CompelInvocation | AddInvocation | SubtractInvocation | MultiplyInvocation | DivideInvocation | RandomIntInvocation | ParamIntInvocation | ParamFloatInvocation | NoiseInvocation | TextToLatentsInvocation | LatentsToImageInvocation | ResizeLatentsInvocation | ScaleLatentsInvocation | ImageToLatentsInvocation | CvInpaintInvocation | RangeInvocation | RangeOfSizeInvocation | RandomRangeInvocation | FloatLinearRangeInvocation | StepParamEasingInvocation | UpscaleInvocation | RestoreFaceInvocation | TextToImageInvocation | InfillColorInvocation | InfillTileInvocation | InfillPatchMatchInvocation | GraphInvocation | IterateInvocation | CollectInvocation | CannyImageProcessorInvocation | HedImageProcessorInvocation | LineartImageProcessorInvocation | LineartAnimeImageProcessorInvocation | OpenposeImageProcessorInvocation | MidasDepthImageProcessorInvocation | NormalbaeImageProcessorInvocation | MlsdImageProcessorInvocation | PidiImageProcessorInvocation | ContentShuffleImageProcessorInvocation | ZoeDepthImageProcessorInvocation | MediapipeFaceProcessorInvocation | LatentsToLatentsInvocation | ImageToImageInvocation | InpaintInvocation),
   }): CancelablePromise<GraphExecutionState> {
     return __request(OpenAPI, {
       method: 'PUT',

pyproject.toml

@@ -44,6 +44,7 @@ dependencies = [
   "datasets",
   "diffusers[torch]~=0.17.0",
   "dnspython==2.2.1",
+  "dynamicprompts",
   "easing-functions",
   "einops",
   "eventlet",