feat: rename ui_type_hint to ui_type

Just a bit more succinct while not losing any clarity.

invokeai/app/invocations/baseinvocation.py

@@ -90,7 +90,7 @@ class Input(str, Enum):
     Any = "any"
 
 
-class UITypeHint(str, Enum):
+class UIType(str, Enum):
     """
     Type hints for the UI.
     If a field should be provided a data type that does not exactly match the python type of the field, \
@@ -164,7 +164,7 @@ class _InputField(BaseModel):
 
     input: Input
     ui_hidden: bool
-    ui_type_hint: Optional[UITypeHint]
+    ui_type: Optional[UIType]
     ui_component: Optional[UIComponent]
 
 
@@ -177,7 +177,7 @@ class _OutputField(BaseModel):
     """
 
     ui_hidden: bool
-    ui_type_hint: Optional[UITypeHint]
+    ui_type: Optional[UIType]
 
 
 def InputField(
@@ -208,7 +208,7 @@ def InputField(
     discriminator: Optional[str] = None,
     repr: bool = True,
     input: Input = Input.Any,
-    ui_type_hint: Optional[UITypeHint] = None,
+    ui_type: Optional[UIType] = None,
     ui_component: Optional[UIComponent] = None,
     ui_hidden: bool = False,
     **kwargs: Any,
@@ -224,12 +224,12 @@ def InputField(
       `Input.Connection` means the value must be provided by a connection. \
       `Input.Any` means either will do.
 
-    :param UITypeHint ui_type_hint: [None] Optionally provides an extra type hint for the UI. \
+    :param UIType ui_type: [None] Optionally provides an extra type hint for the UI. \
       In some situations, the field's type is not enough to infer the correct UI type. \
       For example, model selection fields should render a dropdown UI component to select a model. \
       Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
       `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
-      `UITypeHint.SDXLMainModelField` to indicate that the field is an SDXL main model field.
+      `UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field.
       
     :param UIComponent ui_component: [None] Optionally specifies a specific component to use in the UI. \
       The UI will always render a suitable component, but sometimes you want something different than the default. \
@@ -266,7 +266,7 @@ def InputField(
         discriminator=discriminator,
         repr=repr,
         input=input,
-        ui_type_hint=ui_type_hint,
+        ui_type=ui_type,
         ui_component=ui_component,
         ui_hidden=ui_hidden,
         **kwargs,
@@ -300,7 +300,7 @@ def OutputField(
     regex: Optional[str] = None,
     discriminator: Optional[str] = None,
     repr: bool = True,
-    ui_type_hint: Optional[UITypeHint] = None,
+    ui_type: Optional[UIType] = None,
     ui_hidden: bool = False,
     **kwargs: Any,
 ) -> Any:
@@ -310,12 +310,12 @@ def OutputField(
     This is a wrapper for Pydantic's [Field](https://docs.pydantic.dev/1.10/usage/schema/#field-customization) \
     that adds a few extra parameters to support graph execution and the node editor UI.
 
-    :param UITypeHint ui_type_hint: [None] Optionally provides an extra type hint for the UI. \
+    :param UIType ui_type: [None] Optionally provides an extra type hint for the UI. \
       In some situations, the field's type is not enough to infer the correct UI type. \
       For example, model selection fields should render a dropdown UI component to select a model. \
       Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
       `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
-      `UITypeHint.SDXLMainModelField` to indicate that the field is an SDXL main model field.
+      `UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field.
 
     : param bool ui_hidden: [False] Specifies whether or not this field should be hidden in the UI. \
     """
@@ -346,7 +346,7 @@ def OutputField(
         regex=regex,
         discriminator=discriminator,
         repr=repr,
-        ui_type_hint=ui_type_hint,
+        ui_type=ui_type,
         ui_hidden=ui_hidden,
         **kwargs,
     )

invokeai/app/invocations/collections.py

@@ -8,7 +8,7 @@ from pydantic import validator
 from invokeai.app.invocations.primitives import ImageCollectionOutput, ImageField, IntegerCollectionOutput
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
 
-from .baseinvocation import BaseInvocation, InputField, InvocationContext, UITypeHint, tags, title
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIType, tags, title
 
 
 @title("Integer Range")
@@ -81,7 +81,7 @@ class ImageCollectionInvocation(BaseInvocation):
 
     # Inputs
     images: list[ImageField] = InputField(
-        default=[], description="The image collection to load", ui_type_hint=UITypeHint.ImageCollection
+        default=[], description="The image collection to load", ui_type=UIType.ImageCollection
     )
 
     def invoke(self, context: InvocationContext) -> ImageCollectionOutput:

invokeai/app/invocations/controlnet_image_processors.py

@@ -39,7 +39,7 @@ from .baseinvocation import (
     Input,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -109,7 +109,7 @@ class ControlNetInvocation(BaseInvocation):
         default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
     )
     control_weight: Union[float, List[float]] = InputField(
-        default=1.0, description="The weight given to the ControlNet", ui_type_hint=UITypeHint.Float
+        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
     )
     begin_step_percent: float = InputField(
         default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"

invokeai/app/invocations/latent.py

@@ -51,7 +51,7 @@ from .baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -116,7 +116,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
     noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection)
     steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps)
     cfg_scale: Union[float, List[float]] = InputField(
-        default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type_hint=UITypeHint.Float
+        default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type=UIType.Float
     )
     denoising_start: float = InputField(default=0.0, ge=0, le=1, description=FieldDescriptions.denoising_start)
     denoising_end: float = InputField(default=1.0, ge=0, le=1, description=FieldDescriptions.denoising_end)

invokeai/app/invocations/model.py

@@ -12,7 +12,7 @@ from .baseinvocation import (
     Input,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -365,7 +365,7 @@ class VaeLoaderInvocation(BaseInvocation):
 
     # Inputs
     vae_model: VAEModelField = InputField(
-        description=FieldDescriptions.vae_model, input=Input.Direct, ui_type_hint=UITypeHint.VaeModel, title="VAE"
+        description=FieldDescriptions.vae_model, input=Input.Direct, ui_type=UIType.VaeModel, title="VAE"
     )
 
     def invoke(self, context: InvocationContext) -> VaeLoaderOutput:

invokeai/app/invocations/noise.py

@@ -16,7 +16,7 @@ from .baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )

invokeai/app/invocations/onnx.py

@@ -31,7 +31,7 @@ from .baseinvocation import (
     InvocationContext,
     OutputField,
     UIComponent,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -167,7 +167,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
         default=7.5,
         ge=1,
         description=FieldDescriptions.cfg_scale,
-        ui_type_hint=UITypeHint.Float,
+        ui_type=UIType.Float,
     )
     scheduler: SAMPLER_NAME_VALUES = InputField(
         default="euler", description=FieldDescriptions.scheduler, input=Input.Direct
@@ -180,7 +180,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
     control: Optional[Union[ControlField, list[ControlField]]] = InputField(
         default=None,
         description=FieldDescriptions.control,
-        ui_type_hint=UITypeHint.Control,
+        ui_type=UIType.Control,
     )
     # seamless:   bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", )
     # seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'")
@@ -416,7 +416,7 @@ class OnnxModelLoaderInvocation(BaseInvocation):
 
     # Inputs
     model: OnnxModelField = InputField(
-        description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type_hint=UITypeHint.ONNXModel
+        description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type=UIType.ONNXModel
     )
 
     def invoke(self, context: InvocationContext) -> ONNXModelLoaderOutput:

invokeai/app/invocations/primitives.py

@@ -14,7 +14,7 @@ from .baseinvocation import (
     InvocationContext,
     OutputField,
     UIComponent,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -43,7 +43,7 @@ class BooleanCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[bool] = OutputField(
-        default_factory=list, description="The output boolean collection", ui_type_hint=UITypeHint.BooleanCollection
+        default_factory=list, description="The output boolean collection", ui_type=UIType.BooleanCollection
     )
 
 
@@ -80,7 +80,7 @@ class IntegerCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[int] = OutputField(
-        default_factory=list, description="The int collection", ui_type_hint=UITypeHint.IntegerCollection
+        default_factory=list, description="The int collection", ui_type=UIType.IntegerCollection
     )
 
 
@@ -117,7 +117,7 @@ class FloatCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[float] = OutputField(
-        default_factory=list, description="The float collection", ui_type_hint=UITypeHint.FloatCollection
+        default_factory=list, description="The float collection", ui_type=UIType.FloatCollection
     )
 
 
@@ -154,7 +154,7 @@ class StringCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[str] = OutputField(
-        default_factory=list, description="The output strings", ui_type_hint=UITypeHint.StringCollection
+        default_factory=list, description="The output strings", ui_type=UIType.StringCollection
     )
 
 
@@ -199,7 +199,7 @@ class ImageCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[ImageField] = OutputField(
-        default_factory=list, description="The output images", ui_type_hint=UITypeHint.ImageCollection
+        default_factory=list, description="The output images", ui_type=UIType.ImageCollection
     )
 
 
@@ -256,7 +256,7 @@ class LatentsCollectionOutput(BaseInvocationOutput):
     latents: list[LatentsField] = OutputField(
         default_factory=list,
         description=FieldDescriptions.latents,
-        ui_type_hint=UITypeHint.LatentsCollection,
+        ui_type=UIType.LatentsCollection,
     )
 
 
@@ -315,7 +315,7 @@ class ColorCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[ColorField] = OutputField(
-        default_factory=list, description="The output colors", ui_type_hint=UITypeHint.ColorCollection
+        default_factory=list, description="The output colors", ui_type=UIType.ColorCollection
     )
 
 
@@ -361,7 +361,7 @@ class ConditioningCollectionOutput(BaseInvocationOutput):
     collection: list[ConditioningField] = OutputField(
         default_factory=list,
         description="The output conditioning tensors",
-        ui_type_hint=UITypeHint.ConditioningCollection,
+        ui_type=UIType.ConditioningCollection,
     )
 
 

invokeai/app/invocations/prompt.py

@@ -7,7 +7,7 @@ from pydantic import validator
 
 from invokeai.app.invocations.primitives import StringCollectionOutput
 
-from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, UITypeHint, tags, title
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, UIType, tags, title
 
 
 @title("Dynamic Prompt")
@@ -41,7 +41,7 @@ class PromptsFromFileInvocation(BaseInvocation):
     type: Literal["prompt_from_file"] = "prompt_from_file"
 
     # Inputs
-    file_path: str = InputField(description="Path to prompt text file", ui_type_hint=UITypeHint.FilePath)
+    file_path: str = InputField(description="Path to prompt text file", ui_type=UIType.FilePath)
     pre_prompt: Optional[str] = InputField(
         default=None, description="String to prepend to each prompt", ui_component=UIComponent.Textarea
     )

invokeai/app/invocations/sdxl.py

@@ -9,7 +9,7 @@ from .baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -46,7 +46,7 @@ class SDXLModelLoaderInvocation(BaseInvocation):
 
     # Inputs
     model: MainModelField = InputField(
-        description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type_hint=UITypeHint.SDXLMainModel
+        description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type=UIType.SDXLMainModel
     )
     # TODO: precision?
 
@@ -133,7 +133,7 @@ class SDXLRefinerModelLoaderInvocation(BaseInvocation):
     model: MainModelField = InputField(
         description=FieldDescriptions.sdxl_refiner_model,
         input=Input.Direct,
-        ui_type_hint=UITypeHint.SDXLRefinerModel,
+        ui_type=UIType.SDXLRefinerModel,
     )
     # TODO: precision?
 

invokeai/app/services/graph.py

@@ -17,7 +17,7 @@ from ..invocations.baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
 )
 
 # in 3.10 this would be "from types import NoneType"
@@ -179,7 +179,7 @@ class IterateInvocationOutput(BaseInvocationOutput):
     type: Literal["iterate_output"] = "iterate_output"
 
     item: Any = OutputField(
-        description="The item being iterated over", title="Collection Item", ui_type_hint=UITypeHint.CollectionItem
+        description="The item being iterated over", title="Collection Item", ui_type=UIType.CollectionItem
     )
 
 
@@ -190,7 +190,7 @@ class IterateInvocation(BaseInvocation):
     type: Literal["iterate"] = "iterate"
 
     collection: list[Any] = InputField(
-        description="The list of items to iterate over", default_factory=list, ui_type_hint=UITypeHint.Collection
+        description="The list of items to iterate over", default_factory=list, ui_type=UIType.Collection
     )
     index: int = InputField(description="The index, will be provided on executed iterators", default=0, ui_hidden=True)
 
@@ -203,7 +203,7 @@ class CollectInvocationOutput(BaseInvocationOutput):
     type: Literal["collect_output"] = "collect_output"
 
     collection: list[Any] = OutputField(
-        description="The collection of input items", title="Collection", ui_type_hint=UITypeHint.Collection
+        description="The collection of input items", title="Collection", ui_type=UIType.Collection
     )
 
 
@@ -214,7 +214,7 @@ class CollectInvocation(BaseInvocation):
 
     item: Any = InputField(
         description="The item to collect (all inputs must be of the same type)",
-        ui_type_hint=UITypeHint.CollectionItem,
+        ui_type=UIType.CollectionItem,
         title="Collection Item",
         input=Input.Connection,
     )

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

@@ -439,9 +439,9 @@ export const getFieldType = (
 ): FieldType => {
   let fieldType = '';
 
-  const { ui_type_hint } = schemaObject;
+  const { ui_type } = schemaObject;
-  if (ui_type_hint) {
+  if (ui_type) {
-    fieldType = ui_type_hint;
+    fieldType = ui_type;
   } else if (!schemaObject.type) {
     // console.log('refObject', schemaObject);
     // if schemaObject has no type, then it should have one of allOf, anyOf, oneOf
@@ -493,13 +493,13 @@ export const buildInputFieldTemplate = (
   const fieldType = getFieldType(fieldSchema);
   // console.log('input fieldType', fieldType);
 
-  const { input, ui_hidden, ui_component, ui_type_hint } = fieldSchema;
+  const { input, ui_hidden, ui_component, ui_type } = fieldSchema;
 
   const extra = {
     input,
     ui_hidden,
     ui_component,
-    ui_type_hint,
+    ui_type,
     required: nodeSchema.required?.includes(name) ?? false,
   };
 

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

@@ -1803,7 +1803,7 @@ 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"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | 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"]["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;
       };
       /**
        * Edges 
@@ -1846,7 +1846,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -5938,12 +5938,12 @@ export type components = {
      */
     Input: "connection" | "direct" | "any";
     /**
-     * UITypeHint 
+     * UIType 
      * @description Type hints for the UI.
      * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes. 
      * @enum {string}
      */
-    UITypeHint: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
+    UIType: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
     /**
      * UIComponent 
      * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type. 
@@ -5961,7 +5961,7 @@ export type components = {
       input: components["schemas"]["Input"];
       /** Ui Hidden */
       ui_hidden: boolean;
-      ui_type_hint?: components["schemas"]["UITypeHint"];
+      ui_type?: components["schemas"]["UIType"];
       ui_component?: components["schemas"]["UIComponent"];
     };
     /**
@@ -5974,26 +5974,20 @@ export type components = {
     _OutputField: {
       /** Ui Hidden */
       ui_hidden: boolean;
-      ui_type_hint?: components["schemas"]["UITypeHint"];
+      ui_type?: components["schemas"]["UIType"];
     };
     /**
-     * ControlNetModelFormat 
+     * StableDiffusion2ModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
     StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * StableDiffusion1ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
@@ -6001,11 +5995,17 @@ export type components = {
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusion2ModelFormat 
+     * StableDiffusion1ModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -6116,7 +6116,7 @@ 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"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | 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"]["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"];
       };
     };
     responses: {
@@ -6153,7 +6153,7 @@ 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"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | 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"]["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"];
       };
     };
     responses: {