feat: add missing primitive collections

- add missing primitive collections
- remove `Seed` and `LoRAField` (they don't exist)

invokeai/app/invocations/collections.py

@@ -70,19 +70,3 @@ class RandomRangeInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
         rng = np.random.default_rng(self.seed)
         return IntegerCollectionOutput(collection=list(rng.integers(low=self.low, high=self.high, size=self.size)))
-
-
-@title("Image Collection")
-@tags("image", "collection")
-class ImageCollectionInvocation(BaseInvocation):
-    """Load a collection of images and provide it as output."""
-
-    type: Literal["image_collection"] = "image_collection"
-
-    # Inputs
-    images: list[ImageField] = InputField(
-        default=[], description="The image collection to load", ui_type=UIType.ImageCollection
-    )
-
-    def invoke(self, context: InvocationContext) -> ImageCollectionOutput:
-        return ImageCollectionOutput(collection=self.images)

invokeai/app/invocations/primitives.py

@@ -1,6 +1,7 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
 
-from typing import Literal, Optional, Tuple
+from typing import Literal, Optional, Tuple, Union
+from anyio import Condition
 
 from pydantic import BaseModel, Field
 import torch
@@ -47,8 +48,8 @@ class BooleanCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Boolean Primitive")
+@title("Boolean")
-@tags("boolean")
+@tags("primitives", "boolean")
 class BooleanInvocation(BaseInvocation):
     """A boolean primitive value"""
 
@@ -61,6 +62,22 @@ class BooleanInvocation(BaseInvocation):
         return BooleanOutput(a=self.a)
 
 
+@title("Boolean Collection")
+@tags("primitives", "boolean", "collection")
+class BooleanCollectionInvocation(BaseInvocation):
+    """A collection of boolean primitive values"""
+
+    type: Literal["boolean_collection"] = "boolean_collection"
+
+    # Inputs
+    collection: list[bool] = InputField(
+        default=False, description="The collection of boolean values", ui_type=UIType.BooleanCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> BooleanCollectionOutput:
+        return BooleanCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region Integer
@@ -84,8 +101,8 @@ class IntegerCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Integer Primitive")
+@title("Integer")
-@tags("integer")
+@tags("primitives", "integer")
 class IntegerInvocation(BaseInvocation):
     """An integer primitive value"""
 
@@ -98,6 +115,22 @@ class IntegerInvocation(BaseInvocation):
         return IntegerOutput(a=self.a)
 
 
+@title("Integer Collection")
+@tags("primitives", "integer", "collection")
+class IntegerCollectionInvocation(BaseInvocation):
+    """A collection of integer primitive values"""
+
+    type: Literal["integer_collection"] = "integer_collection"
+
+    # Inputs
+    collection: list[int] = InputField(
+        default=0, description="The collection of integer values", ui_type=UIType.IntegerCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
+        return IntegerCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region Float
@@ -121,8 +154,8 @@ class FloatCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Float Primitive")
+@title("Float")
-@tags("float")
+@tags("primitives", "float")
 class FloatInvocation(BaseInvocation):
     """A float primitive value"""
 
@@ -135,6 +168,22 @@ class FloatInvocation(BaseInvocation):
         return FloatOutput(a=self.param)
 
 
+@title("Float Collection")
+@tags("primitives", "float", "collection")
+class FloatCollectionInvocation(BaseInvocation):
+    """A collection of float primitive values"""
+
+    type: Literal["float_collection"] = "float_collection"
+
+    # Inputs
+    collection: list[float] = InputField(
+        default=0, description="The collection of float values", ui_type=UIType.FloatCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
+        return FloatCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region String
@@ -158,8 +207,8 @@ class StringCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("String Primitive")
+@title("String")
-@tags("string")
+@tags("primitives", "string")
 class StringInvocation(BaseInvocation):
     """A string primitive value"""
 
@@ -172,6 +221,22 @@ class StringInvocation(BaseInvocation):
         return StringOutput(text=self.text)
 
 
+@title("String Collection")
+@tags("primitives", "string", "collection")
+class StringCollectionInvocation(BaseInvocation):
+    """A collection of string primitive values"""
+
+    type: Literal["string_collection"] = "string_collection"
+
+    # Inputs
+    collection: list[str] = InputField(
+        default=0, description="The collection of string values", ui_type=UIType.StringCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> StringCollectionOutput:
+        return StringCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region Image
@@ -204,7 +269,7 @@ class ImageCollectionOutput(BaseInvocationOutput):
 
 
 @title("Image Primitive")
-@tags("image")
+@tags("primitives", "image")
 class ImageInvocation(BaseInvocation):
     """An image primitive value"""
 
@@ -224,6 +289,22 @@ class ImageInvocation(BaseInvocation):
         )
 
 
+@title("Image Collection")
+@tags("primitives", "image", "collection")
+class ImageCollectionInvocation(BaseInvocation):
+    """A collection of image primitive values"""
+
+    type: Literal["image_collection"] = "image_collection"
+
+    # Inputs
+    collection: list[ImageField] = InputField(
+        default=0, description="The collection of image values", ui_type=UIType.ImageCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> ImageCollectionOutput:
+        return ImageCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region Latents
@@ -253,7 +334,7 @@ class LatentsCollectionOutput(BaseInvocationOutput):
 
     type: Literal["latents_collection_output"] = "latents_collection_output"
 
-    latents: list[LatentsField] = OutputField(
+    collection: list[LatentsField] = OutputField(
         default_factory=list,
         description=FieldDescriptions.latents,
         ui_type=UIType.LatentsCollection,
@@ -261,7 +342,7 @@ class LatentsCollectionOutput(BaseInvocationOutput):
 
 
 @title("Latents Primitive")
-@tags("latents")
+@tags("primitives", "latents")
 class LatentsInvocation(BaseInvocation):
     """A latents tensor primitive value"""
 
@@ -276,6 +357,22 @@ class LatentsInvocation(BaseInvocation):
         return build_latents_output(self.latents.latents_name, latents)
 
 
+@title("Latents Collection")
+@tags("primitives", "latents", "collection")
+class LatentsCollectionInvocation(BaseInvocation):
+    """A collection of latents tensor primitive values"""
+
+    type: Literal["latents_collection"] = "latents_collection"
+
+    # Inputs
+    collection: list[LatentsField] = InputField(
+        default=0, description="The collection of latents tensors", ui_type=UIType.LatentsCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> LatentsCollectionOutput:
+        return LatentsCollectionOutput(collection=self.collection)
+
+
 def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int] = None):
     return LatentsOutput(
         latents=LatentsField(latents_name=latents_name, seed=seed),
@@ -320,7 +417,7 @@ class ColorCollectionOutput(BaseInvocationOutput):
 
 
 @title("Color Primitive")
-@tags("color")
+@tags("primitives", "color")
 class ColorInvocation(BaseInvocation):
     """A color primitive value"""
 
@@ -339,7 +436,7 @@ class ColorInvocation(BaseInvocation):
 
 
 class ConditioningField(BaseModel):
-    """A conditioning tensor primitive field"""
+    """A conditioning tensor primitive value"""
 
     conditioning_name: str = Field(description="The name of conditioning tensor")
 
@@ -366,7 +463,7 @@ class ConditioningCollectionOutput(BaseInvocationOutput):
 
 
 @title("Conditioning Primitive")
-@tags("conditioning")
+@tags("primitives", "conditioning")
 class ConditioningInvocation(BaseInvocation):
     """A conditioning tensor primitive value"""
 
@@ -378,4 +475,20 @@ class ConditioningInvocation(BaseInvocation):
         return ConditioningOutput(conditioning=self.conditioning)
 
 
+@title("Conditioning Collection")
+@tags("primitives", "conditioning", "collection")
+class ConditioningCollectionInvocation(BaseInvocation):
+    """A collection of conditioning tensor primitive values"""
+
+    type: Literal["conditioning_collection"] = "conditioning_collection"
+
+    # Inputs
+    collection: list[ConditioningField] = InputField(
+        default=0, description="The collection of conditioning tensors", ui_type=UIType.ConditioningCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> ConditioningCollectionOutput:
+        return ConditioningCollectionOutput(collection=self.collection)
+
+
 # endregion

invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx

@@ -64,8 +64,7 @@ const InputFieldRenderer = (props: InputFieldProps) => {
 
   if (
     (type === 'integer' && fieldTemplate.type === 'integer') ||
-    (type === 'float' && fieldTemplate.type === 'float') ||
+    (type === 'float' && fieldTemplate.type === 'float')
-    (type === 'Seed' && fieldTemplate.type === 'Seed')
   ) {
     return (
       <NumberInputField

invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx

@@ -13,16 +13,14 @@ import {
   FloatInputFieldValue,
   IntegerInputFieldTemplate,
   IntegerInputFieldValue,
-  SeedInputFieldTemplate,
-  SeedInputFieldValue,
 } from 'features/nodes/types/types';
 import { memo, useEffect, useMemo, useState } from 'react';
 import { FieldComponentProps } from './types';
 
 const NumberInputFieldComponent = (
   props: FieldComponentProps<
-    IntegerInputFieldValue | FloatInputFieldValue | SeedInputFieldValue,
+    IntegerInputFieldValue | FloatInputFieldValue,
-    IntegerInputFieldTemplate | FloatInputFieldTemplate | SeedInputFieldTemplate
+    IntegerInputFieldTemplate | FloatInputFieldTemplate
   >
 ) => {
   const { nodeData, field, fieldTemplate } = props;
@@ -32,7 +30,7 @@ const NumberInputFieldComponent = (
     String(field.value)
   );
   const isIntegerField = useMemo(
-    () => fieldTemplate.type === 'integer' || fieldTemplate.type === 'Seed',
+    () => fieldTemplate.type === 'integer',
     [fieldTemplate.type]
   );
 

invokeai/frontend/web/src/features/nodes/types/constants.ts

@@ -44,6 +44,11 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     description: 'Enums are values that may be one of a number of options.',
     color: 'blue.500',
   },
+  array: {
+    title: 'Array',
+    description: 'Enums are values that may be one of a number of options.',
+    color: 'base.500',
+  },
   ImageField: {
     title: 'Image',
     description: 'Images may be passed between nodes.',
@@ -54,11 +59,21 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     description: 'Latents may be passed between nodes.',
     color: 'pink.500',
   },
+  LatentsCollection: {
+    title: 'Latents Collection',
+    description: 'Latents may be passed between nodes.',
+    color: 'pink.500',
+  },
   ConditioningField: {
     color: 'cyan.500',
     title: 'Conditioning',
     description: 'Conditioning may be passed between nodes.',
   },
+  ConditioningCollection: {
+    color: 'cyan.500',
+    title: 'Conditioning Collection',
+    description: 'Conditioning may be passed between nodes.',
+  },
   ImageCollection: {
     title: 'Image Collection',
     description: 'A collection of images.',
@@ -139,16 +154,16 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     title: 'Float Collection',
     description: 'A collection of floats.',
   },
+  ColorCollection: {
+    color: 'base.500',
+    title: 'Color Collection',
+    description: 'A collection of colors.',
+  },
   FilePath: {
     color: 'base.500',
     title: 'File Path',
     description: 'A path to a file.',
   },
-  LoRAField: {
-    color: 'base.500',
-    title: 'LoRA',
-    description: 'LoRA field.',
-  },
   ONNXModelField: {
     color: 'base.500',
     title: 'ONNX Model',
@@ -159,11 +174,6 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     title: 'SDXL Model',
     description: 'SDXL model field.',
   },
-  Seed: {
-    color: 'green.500',
-    title: 'Seed',
-    description: 'A seed for random number generation.',
-  },
   StringCollection: {
     color: 'yellow.500',
     title: 'String Collection',

invokeai/frontend/web/src/features/nodes/types/types.ts

@@ -56,15 +56,28 @@ export type FieldUIConfig = {
 
 // TODO: Get this from the OpenAPI schema? may be tricky...
 export const zFieldType = z.enum([
+  // region Primitives
   'integer',
   'float',
   'boolean',
   'string',
-  'enum',
+  'array',
   'ImageField',
   'LatentsField',
   'ConditioningField',
   'ControlField',
+  'ColorField',
+  'ImageCollection',
+  'ConditioningCollection',
+  'ColorCollection',
+  'LatentsCollection',
+  'IntegerCollection',
+  'FloatCollection',
+  'StringCollection',
+  'BooleanCollection',
+  // endregion
+
+  // region Models
   'MainModelField',
   'SDXLMainModelField',
   'SDXLRefinerModelField',
@@ -74,18 +87,18 @@ export const zFieldType = z.enum([
   'ControlNetModelField',
   'UNetField',
   'VaeField',
-  'LoRAField',
   'ClipField',
-  'ColorField',
+  // endregion
-  'ImageCollection',
+
-  'IntegerCollection',
+  // region Iterate/Collect
-  'FloatCollection',
-  'StringCollection',
-  'BooleanCollection',
-  'Seed',
-  'FilePath',
   'Collection',
   'CollectionItem',
+  // endregion
+
+  // region Misc
+  'FilePath',
+  'enum',
+  // endregion
 ]);
 
 export type FieldType = z.infer<typeof zFieldType>;
@@ -134,7 +147,6 @@ export type InputFieldValue =
  */
 export type InputFieldTemplate =
   | IntegerInputFieldTemplate
-  | SeedInputFieldTemplate
   | FloatInputFieldTemplate
   | StringInputFieldTemplate
   | BooleanInputFieldTemplate
@@ -329,16 +341,6 @@ export type IntegerInputFieldTemplate = InputFieldTemplateBase & {
   exclusiveMinimum?: boolean;
 };
 
-export type SeedInputFieldTemplate = InputFieldTemplateBase & {
-  type: 'Seed';
-  default: number;
-  multipleOf?: number;
-  maximum?: number;
-  exclusiveMaximum?: boolean;
-  minimum?: number;
-  exclusiveMinimum?: boolean;
-};
-
 export type FloatInputFieldTemplate = InputFieldTemplateBase & {
   type: 'float';
   default: number;

invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts

@@ -25,9 +25,8 @@ import {
   LoRAModelInputFieldTemplate,
   MainModelInputFieldTemplate,
   OutputFieldTemplate,
-  SDXLRefinerModelInputFieldTemplate,
   SDXLMainModelInputFieldTemplate,
-  SeedInputFieldTemplate,
+  SDXLRefinerModelInputFieldTemplate,
   StringInputFieldTemplate,
   UNetInputFieldTemplate,
   VaeInputFieldTemplate,
@@ -94,39 +93,6 @@ const buildIntegerInputFieldTemplate = ({
   return template;
 };
 
-const buildSeedInputFieldTemplate = ({
-  schemaObject,
-  baseField,
-}: BuildInputFieldArg): SeedInputFieldTemplate => {
-  const template: SeedInputFieldTemplate = {
-    ...baseField,
-    type: 'Seed',
-    default: schemaObject.default ?? 0,
-  };
-
-  if (schemaObject.multipleOf !== undefined) {
-    template.multipleOf = schemaObject.multipleOf;
-  }
-
-  if (schemaObject.maximum !== undefined) {
-    template.maximum = schemaObject.maximum;
-  }
-
-  if (schemaObject.exclusiveMaximum !== undefined) {
-    template.exclusiveMaximum = schemaObject.exclusiveMaximum;
-  }
-
-  if (schemaObject.minimum !== undefined) {
-    template.minimum = schemaObject.minimum;
-  }
-
-  if (schemaObject.exclusiveMinimum !== undefined) {
-    template.exclusiveMinimum = schemaObject.exclusiveMinimum;
-  }
-
-  return template;
-};
-
 const buildFloatInputFieldTemplate = ({
   schemaObject,
   baseField,
@@ -622,12 +588,6 @@ export const buildInputFieldTemplate = (
       baseField,
     });
   }
-  if (fieldType === 'Seed') {
-    return buildSeedInputFieldTemplate({
-      schemaObject: fieldSchema,
-      baseField,
-    });
-  }
   if (fieldType === 'Collection') {
     return buildCollectionInputFieldTemplate({
       schemaObject: fieldSchema,

invokeai/frontend/web/src/services/api/schema.d.ts

@@ -548,6 +548,35 @@ export type components = {
        */
       file: Blob;
     };
+    /**
+     * Boolean Collection 
+     * @description A collection of boolean primitive values
+     */
+    BooleanCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default boolean_collection 
+       * @enum {string}
+       */
+      type: "boolean_collection";
+      /**
+       * Collection 
+       * @description The collection of boolean values 
+       * @default false
+       */
+      collection?: (boolean)[];
+    };
     /**
      * BooleanCollectionOutput 
      * @description Base class for nodes that output a collection of booleans
@@ -566,7 +595,7 @@ export type components = {
       collection?: (boolean)[];
     };
     /**
-     * Boolean Primitive 
+     * Boolean 
      * @description A boolean primitive value
      */
     BooleanInvocation: {
@@ -948,6 +977,35 @@ export type components = {
        */
       clip?: components["schemas"]["ClipField"];
     };
+    /**
+     * Conditioning Collection 
+     * @description A collection of conditioning tensor primitive values
+     */
+    ConditioningCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default conditioning_collection 
+       * @enum {string}
+       */
+      type: "conditioning_collection";
+      /**
+       * Collection 
+       * @description The collection of conditioning tensors 
+       * @default 0
+       */
+      collection?: (components["schemas"]["ConditioningField"])[];
+    };
     /**
      * ConditioningCollectionOutput 
      * @description Base class for nodes that output a collection of conditioning tensors
@@ -967,7 +1025,7 @@ export type components = {
     };
     /**
      * ConditioningField 
-     * @description A conditioning tensor primitive field
+     * @description A conditioning tensor primitive value
      */
     ConditioningField: {
       /**
@@ -1687,6 +1745,35 @@ export type components = {
        */
       field: string;
     };
+    /**
+     * Float Collection 
+     * @description A collection of float primitive values
+     */
+    FloatCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default float_collection 
+       * @enum {string}
+       */
+      type: "float_collection";
+      /**
+       * Collection 
+       * @description The collection of float values 
+       * @default 0
+       */
+      collection?: (number)[];
+    };
     /**
      * FloatCollectionOutput 
      * @description Base class for nodes that output a collection of floats
@@ -1705,7 +1792,7 @@ export type components = {
       collection?: (number)[];
     };
     /**
-     * Float Primitive 
+     * Float 
      * @description A float primitive value
      */
     FloatInvocation: {
@@ -1803,7 +1890,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -2051,7 +2138,7 @@ export type components = {
     };
     /**
      * Image Collection 
-     * @description Load a collection of images and provide it as output.
+     * @description A collection of image primitive values
      */
     ImageCollectionInvocation: {
       /**
@@ -2072,11 +2159,11 @@ export type components = {
        */
       type: "image_collection";
       /**
-       * Images 
+       * Collection 
-       * @description The image collection to load 
+       * @description The collection of image values 
-       * @default []
+       * @default 0
        */
-      images?: (components["schemas"]["ImageField"])[];
+      collection?: (components["schemas"]["ImageField"])[];
     };
     /**
      * ImageCollectionOutput 
@@ -2982,6 +3069,35 @@ export type components = {
        */
       seed?: number;
     };
+    /**
+     * Integer Collection 
+     * @description A collection of integer primitive values
+     */
+    IntegerCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default integer_collection 
+       * @enum {string}
+       */
+      type: "integer_collection";
+      /**
+       * Collection 
+       * @description The collection of integer values 
+       * @default 0
+       */
+      collection?: (number)[];
+    };
     /**
      * IntegerCollectionOutput 
      * @description Base class for nodes that output a collection of integers
@@ -3000,7 +3116,7 @@ export type components = {
       collection?: (number)[];
     };
     /**
-     * Integer Primitive 
+     * Integer 
      * @description An integer primitive value
      */
     IntegerInvocation: {
@@ -3096,6 +3212,35 @@ export type components = {
        */
       item?: unknown;
     };
+    /**
+     * Latents Collection 
+     * @description A collection of latents tensor primitive values
+     */
+    LatentsCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default latents_collection 
+       * @enum {string}
+       */
+      type: "latents_collection";
+      /**
+       * Collection 
+       * @description The collection of latents tensors 
+       * @default 0
+       */
+      collection?: (components["schemas"]["LatentsField"])[];
+    };
     /**
      * LatentsCollectionOutput 
      * @description Base class for nodes that output a collection of latents tensors
@@ -3108,10 +3253,10 @@ export type components = {
        */
       type?: "latents_collection_output";
       /**
-       * Latents 
+       * Collection 
        * @description Latents tensor
        */
-      latents?: (components["schemas"]["LatentsField"])[];
+      collection?: (components["schemas"]["LatentsField"])[];
     };
     /**
      * LatentsField 
@@ -5597,6 +5742,35 @@ export type components = {
        */
       show_easing_plot?: boolean;
     };
+    /**
+     * String Collection 
+     * @description A collection of string primitive values
+     */
+    StringCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default string_collection 
+       * @enum {string}
+       */
+      type: "string_collection";
+      /**
+       * Collection 
+       * @description The collection of string values 
+       * @default 0
+       */
+      collection?: (string)[];
+    };
     /**
      * StringCollectionOutput 
      * @description Base class for nodes that output a collection of strings
@@ -5615,7 +5789,7 @@ export type components = {
       collection?: (string)[];
     };
     /**
-     * String Primitive 
+     * String 
      * @description A string primitive value
      */
     StringInvocation: {
@@ -5976,18 +6150,6 @@ export type components = {
       ui_hidden: boolean;
       ui_type?: components["schemas"]["UIType"];
     };
-    /**
-     * StableDiffusion2ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionOnnxModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
@@ -6006,6 +6168,18 @@ export type components = {
      * @enum {string}
      */
     ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion2ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
   };
   responses: never;
   parameters: never;
@@ -6116,7 +6290,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -6153,7 +6327,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {