diff --git a/docs/nodes/defaultNodes.md b/docs/nodes/defaultNodes.md index ace51163ef..1f490dfe81 100644 --- a/docs/nodes/defaultNodes.md +++ b/docs/nodes/defaultNodes.md @@ -1,104 +1,106 @@ # List of Default Nodes -The table below contains a list of the default nodes shipped with InvokeAI and their descriptions. +The table below contains a list of the default nodes shipped with InvokeAI and +their descriptions. -| Node | Function | -|: ---------------------------------- | :--------------------------------------------------------------------------------------| -|Add Integers | Adds two numbers| -|Boolean Primitive Collection | A collection of boolean primitive values| -|Boolean Primitive | A boolean primitive value| -|Canny Processor | Canny edge detection for ControlNet| -|CLIP Skip | Skip layers in clip text_encoder model.| -|Collect | Collects values into a collection| -|Color Correct | Shifts the colors of a target image to match the reference image, optionally using a mask to only color-correct certain regions of the target image.| -|Color Primitive | A color primitive value| -|Compel Prompt | Parse prompt using compel package to conditioning.| -|Conditioning Primitive Collection | A collection of conditioning tensor primitive values| -|Conditioning Primitive | A conditioning tensor primitive value| -|Content Shuffle Processor | Applies content shuffle processing to image| -|ControlNet | Collects ControlNet info to pass to other nodes| -|Denoise Latents | Denoises noisy latents to decodable images| -|Divide Integers | Divides two numbers| -|Dynamic Prompt | Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator| -|[FaceMask](./detailedNodes/faceTools.md#facemask) | Generates masks for faces in an image to use with Inpainting| -|[FaceIdentifier](./detailedNodes/faceTools.md#faceidentifier) | Identifies and labels faces in an image| -|[FaceOff](./detailedNodes/faceTools.md#faceoff) | Creates a new image that is a scaled bounding box with a mask on the face for Inpainting| -|Float Math | Perform basic math operations on two floats| -|Float Primitive Collection | A collection of float primitive values| -|Float Primitive | A float primitive value| -|Float Range | Creates a range| -|HED (softedge) Processor | Applies HED edge detection to image| -|Blur Image | Blurs an image| -|Extract Image Channel | Gets a channel from an image.| -|Image Primitive Collection | A collection of image primitive values| -|Integer Math | Perform basic math operations on two integers| -|Convert Image Mode | Converts an image to a different mode.| -|Crop Image | Crops an image to a specified box. The box can be outside of the image.| -|Image Hue Adjustment | Adjusts the Hue of an image.| -|Inverse Lerp Image | Inverse linear interpolation of all pixels of an image| -|Image Primitive | An image primitive value| -|Lerp Image | Linear interpolation of all pixels of an image| -|Offset Image Channel | Add to or subtract from an image color channel by a uniform value.| -|Multiply Image Channel | Multiply or Invert an image color channel by a scalar value.| -|Multiply Images | Multiplies two images together using `PIL.ImageChops.multiply()`.| -|Blur NSFW Image | Add blur to NSFW-flagged images| -|Paste Image | Pastes an image into another image.| -|ImageProcessor | Base class for invocations that preprocess images for ControlNet| -|Resize Image | Resizes an image to specific dimensions| -|Round Float | Rounds a float to a specified number of decimal places| -|Float to Integer | Converts a float to an integer. Optionally rounds to an even multiple of a input number.| -|Scale Image | Scales an image by a factor| -|Image to Latents | Encodes an image into latents.| -|Add Invisible Watermark | Add an invisible watermark to an image| -|Solid Color Infill | Infills transparent areas of an image with a solid color| -|PatchMatch Infill | Infills transparent areas of an image using the PatchMatch algorithm| -|Tile Infill | Infills transparent areas of an image with tiles of the image| -|Integer Primitive Collection | A collection of integer primitive values| -|Integer Primitive | An integer primitive value| -|Iterate | Iterates over a list of items| -|Latents Primitive Collection | A collection of latents tensor primitive values| -|Latents Primitive | A latents tensor primitive value| -|Latents to Image | Generates an image from latents.| -|Leres (Depth) Processor | Applies leres processing to image| -|Lineart Anime Processor | Applies line art anime processing to image| -|Lineart Processor | Applies line art processing to image| -|LoRA Loader | Apply selected lora to unet and text_encoder.| -|Main Model Loader | Loads a main model, outputting its submodels.| -|Combine Mask | Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.| -|Mask Edge | Applies an edge mask to an image| -|Mask from Alpha | Extracts the alpha channel of an image as a mask.| -|Mediapipe Face Processor | Applies mediapipe face processing to image| -|Midas (Depth) Processor | Applies Midas depth processing to image| -|MLSD Processor | Applies MLSD processing to image| -|Multiply Integers | Multiplies two numbers| -|Noise | Generates latent noise.| -|Normal BAE Processor | Applies NormalBae processing to image| -|ONNX Latents to Image | Generates an image from latents.| -|ONNX Prompt (Raw) | A node to process inputs and produce outputs. May use dependency injection in __init__ to receive providers.| -|ONNX Text to Latents | Generates latents from conditionings.| -|ONNX Model Loader | Loads a main model, outputting its submodels.| -|OpenCV Inpaint | Simple inpaint using opencv.| -|Openpose Processor | Applies Openpose processing to image| -|PIDI Processor | Applies PIDI processing to image| -|Prompts from File | Loads prompts from a text file| -|Random Integer | Outputs a single random integer.| -|Random Range | Creates a collection of random numbers| -|Integer Range | Creates a range of numbers from start to stop with step| -|Integer Range of Size | Creates a range from start to start + size with step| -|Resize Latents | Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8.| -|SDXL Compel Prompt | Parse prompt using compel package to conditioning.| -|SDXL LoRA Loader | Apply selected lora to unet and text_encoder.| -|SDXL Main Model Loader | Loads an sdxl base model, outputting its submodels.| -|SDXL Refiner Compel Prompt | Parse prompt using compel package to conditioning.| -|SDXL Refiner Model Loader | Loads an sdxl refiner model, outputting its submodels.| -|Scale Latents | Scales latents by a given factor.| -|Segment Anything Processor | Applies segment anything processing to image| -|Show Image | Displays a provided image, and passes it forward in the pipeline.| -|Step Param Easing | Experimental per-step parameter easing for denoising steps| -|String Primitive Collection | A collection of string primitive values| -|String Primitive | A string primitive value| -|Subtract Integers | Subtracts two numbers| -|Tile Resample Processor | Tile resampler processor| -|Upscale (RealESRGAN) | Upscales an image using RealESRGAN.| -|VAE Loader | Loads a VAE model, outputting a VaeLoaderOutput| -|Zoe (Depth) Processor | Applies Zoe depth processing to image| \ No newline at end of file +| Node | Function | +| :------------------------------------------------------------ | :--------------------------------------------------------------------------------------------------------------------------------------------------- | +| Add Integers | Adds two numbers | +| Boolean Primitive Collection | A collection of boolean primitive values | +| Boolean Primitive | A boolean primitive value | +| Canny Processor | Canny edge detection for ControlNet | +| CenterPadCrop | Pad or crop an image's sides from the center by specified pixels. Positive values are outside of the image. | +| CLIP Skip | Skip layers in clip text_encoder model. | +| Collect | Collects values into a collection | +| Color Correct | Shifts the colors of a target image to match the reference image, optionally using a mask to only color-correct certain regions of the target image. | +| Color Primitive | A color primitive value | +| Compel Prompt | Parse prompt using compel package to conditioning. | +| Conditioning Primitive Collection | A collection of conditioning tensor primitive values | +| Conditioning Primitive | A conditioning tensor primitive value | +| Content Shuffle Processor | Applies content shuffle processing to image | +| ControlNet | Collects ControlNet info to pass to other nodes | +| Denoise Latents | Denoises noisy latents to decodable images | +| Divide Integers | Divides two numbers | +| Dynamic Prompt | Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator | +| [FaceMask](./detailedNodes/faceTools.md#facemask) | Generates masks for faces in an image to use with Inpainting | +| [FaceIdentifier](./detailedNodes/faceTools.md#faceidentifier) | Identifies and labels faces in an image | +| [FaceOff](./detailedNodes/faceTools.md#faceoff) | Creates a new image that is a scaled bounding box with a mask on the face for Inpainting | +| Float Math | Perform basic math operations on two floats | +| Float Primitive Collection | A collection of float primitive values | +| Float Primitive | A float primitive value | +| Float Range | Creates a range | +| HED (softedge) Processor | Applies HED edge detection to image | +| Blur Image | Blurs an image | +| Extract Image Channel | Gets a channel from an image. | +| Image Primitive Collection | A collection of image primitive values | +| Integer Math | Perform basic math operations on two integers | +| Convert Image Mode | Converts an image to a different mode. | +| Crop Image | Crops an image to a specified box. The box can be outside of the image. | +| Image Hue Adjustment | Adjusts the Hue of an image. | +| Inverse Lerp Image | Inverse linear interpolation of all pixels of an image | +| Image Primitive | An image primitive value | +| Lerp Image | Linear interpolation of all pixels of an image | +| Offset Image Channel | Add to or subtract from an image color channel by a uniform value. | +| Multiply Image Channel | Multiply or Invert an image color channel by a scalar value. | +| Multiply Images | Multiplies two images together using `PIL.ImageChops.multiply()`. | +| Blur NSFW Image | Add blur to NSFW-flagged images | +| Paste Image | Pastes an image into another image. | +| ImageProcessor | Base class for invocations that preprocess images for ControlNet | +| Resize Image | Resizes an image to specific dimensions | +| Round Float | Rounds a float to a specified number of decimal places | +| Float to Integer | Converts a float to an integer. Optionally rounds to an even multiple of a input number. | +| Scale Image | Scales an image by a factor | +| Image to Latents | Encodes an image into latents. | +| Add Invisible Watermark | Add an invisible watermark to an image | +| Solid Color Infill | Infills transparent areas of an image with a solid color | +| PatchMatch Infill | Infills transparent areas of an image using the PatchMatch algorithm | +| Tile Infill | Infills transparent areas of an image with tiles of the image | +| Integer Primitive Collection | A collection of integer primitive values | +| Integer Primitive | An integer primitive value | +| Iterate | Iterates over a list of items | +| Latents Primitive Collection | A collection of latents tensor primitive values | +| Latents Primitive | A latents tensor primitive value | +| Latents to Image | Generates an image from latents. | +| Leres (Depth) Processor | Applies leres processing to image | +| Lineart Anime Processor | Applies line art anime processing to image | +| Lineart Processor | Applies line art processing to image | +| LoRA Loader | Apply selected lora to unet and text_encoder. | +| Main Model Loader | Loads a main model, outputting its submodels. | +| Combine Mask | Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`. | +| Mask Edge | Applies an edge mask to an image | +| Mask from Alpha | Extracts the alpha channel of an image as a mask. | +| Mediapipe Face Processor | Applies mediapipe face processing to image | +| Midas (Depth) Processor | Applies Midas depth processing to image | +| MLSD Processor | Applies MLSD processing to image | +| Multiply Integers | Multiplies two numbers | +| Noise | Generates latent noise. | +| Normal BAE Processor | Applies NormalBae processing to image | +| ONNX Latents to Image | Generates an image from latents. | +| ONNX Prompt (Raw) | A node to process inputs and produce outputs. May use dependency injection in **init** to receive providers. | +| ONNX Text to Latents | Generates latents from conditionings. | +| ONNX Model Loader | Loads a main model, outputting its submodels. | +| OpenCV Inpaint | Simple inpaint using opencv. | +| Openpose Processor | Applies Openpose processing to image | +| PIDI Processor | Applies PIDI processing to image | +| Prompts from File | Loads prompts from a text file | +| Random Integer | Outputs a single random integer. | +| Random Range | Creates a collection of random numbers | +| Integer Range | Creates a range of numbers from start to stop with step | +| Integer Range of Size | Creates a range from start to start + size with step | +| Resize Latents | Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8. | +| SDXL Compel Prompt | Parse prompt using compel package to conditioning. | +| SDXL LoRA Loader | Apply selected lora to unet and text_encoder. | +| SDXL Main Model Loader | Loads an sdxl base model, outputting its submodels. | +| SDXL Refiner Compel Prompt | Parse prompt using compel package to conditioning. | +| SDXL Refiner Model Loader | Loads an sdxl refiner model, outputting its submodels. | +| Scale Latents | Scales latents by a given factor. | +| Segment Anything Processor | Applies segment anything processing to image | +| Show Image | Displays a provided image, and passes it forward in the pipeline. | +| Step Param Easing | Experimental per-step parameter easing for denoising steps | +| String Primitive Collection | A collection of string primitive values | +| String Primitive | A string primitive value | +| Subtract Integers | Subtracts two numbers | +| Tile Resample Processor | Tile resampler processor | +| Upscale (RealESRGAN) | Upscales an image using RealESRGAN. | +| VAE Loader | Loads a VAE model, outputting a VaeLoaderOutput | +| Zoe (Depth) Processor | Applies Zoe depth processing to image | diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py index 87e8392402..ad3b3aec71 100644 --- a/invokeai/app/invocations/image.py +++ b/invokeai/app/invocations/image.py @@ -100,6 +100,61 @@ class ImageCropInvocation(BaseInvocation, WithWorkflow, WithMetadata): ) +@invocation( + invocation_type="img_pad_crop", + title="Center Pad or Crop Image", + category="image", + tags=["image", "pad", "crop"], + version="1.0.0", +) +class CenterPadCropInvocation(BaseInvocation): + """Pad or crop an image's sides from the center by specified pixels. Positive values are outside of the image.""" + + image: ImageField = InputField(description="The image to crop") + left: int = InputField( + default=0, + description="Number of pixels to pad/crop from the left (negative values crop inwards, positive values pad outwards)", + ) + right: int = InputField( + default=0, + description="Number of pixels to pad/crop from the right (negative values crop inwards, positive values pad outwards)", + ) + top: int = InputField( + default=0, + description="Number of pixels to pad/crop from the top (negative values crop inwards, positive values pad outwards)", + ) + bottom: int = InputField( + default=0, + description="Number of pixels to pad/crop from the bottom (negative values crop inwards, positive values pad outwards)", + ) + + def invoke(self, context: InvocationContext) -> ImageOutput: + image = context.services.images.get_pil_image(self.image.image_name) + + # Calculate and create new image dimensions + new_width = image.width + self.right + self.left + new_height = image.height + self.top + self.bottom + image_crop = Image.new(mode="RGBA", size=(new_width, new_height), color=(0, 0, 0, 0)) + + # Paste new image onto input + image_crop.paste(image, (self.left, self.top)) + + image_dto = context.services.images.create( + image=image_crop, + image_origin=ResourceOrigin.INTERNAL, + image_category=ImageCategory.GENERAL, + node_id=self.id, + session_id=context.graph_execution_state_id, + is_intermediate=self.is_intermediate, + ) + + return ImageOutput( + image=ImageField(image_name=image_dto.image_name), + width=image_dto.width, + height=image_dto.height, + ) + + @invocation("img_paste", title="Paste Image", tags=["image", "paste"], category="image", version="1.1.0") class ImagePasteInvocation(BaseInvocation, WithWorkflow, WithMetadata): """Pastes an image into another image.""" diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts index 8204e50650..b6b6a0e8be 100644 --- a/invokeai/frontend/web/src/services/api/schema.d.ts +++ b/invokeai/frontend/web/src/services/api/schema.d.ts @@ -1196,6 +1196,61 @@ export type components = { */ type: "canny_image_processor"; }; + /** + * Center Pad or Crop Image + * @description Pad or crop an image's sides from the center by specified pixels. Positive values are outside of the image. + */ + CenterPadCropInvocation: { + /** + * Id + * @description The id of this instance of an invocation. Must be unique among all instances of invocations. + */ + id: string; + /** + * Is Intermediate + * @description Whether or not this is an intermediate invocation. + * @default false + */ + is_intermediate?: boolean; + /** + * Use Cache + * @description Whether or not to use the cache + * @default true + */ + use_cache?: boolean; + /** @description The image to crop */ + image?: components["schemas"]["ImageField"]; + /** + * Left + * @description Number of pixels to pad/crop from the left (negative values crop inwards, positive values pad outwards) + * @default 0 + */ + left?: number; + /** + * Right + * @description Number of pixels to pad/crop from the right (negative values crop inwards, positive values pad outwards) + * @default 0 + */ + right?: number; + /** + * Top + * @description Number of pixels to pad/crop from the top (negative values crop inwards, positive values pad outwards) + * @default 0 + */ + top?: number; + /** + * Bottom + * @description Number of pixels to pad/crop from the bottom (negative values crop inwards, positive values pad outwards) + * @default 0 + */ + bottom?: number; + /** + * type + * @default img_pad_crop + * @constant + */ + type: "img_pad_crop"; + }; /** * ClearResult * @description Result of clearing the session queue @@ -3231,7 +3286,7 @@ export type components = { * @description The nodes in this graph */ nodes?: { - [key: string]: components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["LinearUIOutputInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["BooleanCollectionInvocation"]; + [key: string]: components["schemas"]["BlankImageInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["LinearUIOutputInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["LineartImageProcessorInvocation"]; }; /** * Edges @@ -3268,7 +3323,7 @@ export type components = { * @description The results of node executions */ results: { - [key: string]: components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["String2Output"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ConditioningOutput"]; + [key: string]: components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["String2Output"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["T2IAdapterOutput"]; }; /** * Errors @@ -9703,17 +9758,23 @@ export type components = { */ UIType: "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VAEModelField" | "LoRAModelField" | "ControlNetModelField" | "IPAdapterModelField" | "SchedulerField" | "AnyField" | "CollectionField" | "CollectionItemField" | "DEPRECATED_Boolean" | "DEPRECATED_Color" | "DEPRECATED_Conditioning" | "DEPRECATED_Control" | "DEPRECATED_Float" | "DEPRECATED_Image" | "DEPRECATED_Integer" | "DEPRECATED_Latents" | "DEPRECATED_String" | "DEPRECATED_BooleanCollection" | "DEPRECATED_ColorCollection" | "DEPRECATED_ConditioningCollection" | "DEPRECATED_ControlCollection" | "DEPRECATED_FloatCollection" | "DEPRECATED_ImageCollection" | "DEPRECATED_IntegerCollection" | "DEPRECATED_LatentsCollection" | "DEPRECATED_StringCollection" | "DEPRECATED_BooleanPolymorphic" | "DEPRECATED_ColorPolymorphic" | "DEPRECATED_ConditioningPolymorphic" | "DEPRECATED_ControlPolymorphic" | "DEPRECATED_FloatPolymorphic" | "DEPRECATED_ImagePolymorphic" | "DEPRECATED_IntegerPolymorphic" | "DEPRECATED_LatentsPolymorphic" | "DEPRECATED_StringPolymorphic" | "DEPRECATED_MainModel" | "DEPRECATED_UNet" | "DEPRECATED_Vae" | "DEPRECATED_CLIP" | "DEPRECATED_Collection" | "DEPRECATED_CollectionItem" | "DEPRECATED_Enum" | "DEPRECATED_WorkflowField" | "DEPRECATED_IsIntermediate" | "DEPRECATED_BoardField" | "DEPRECATED_MetadataItem" | "DEPRECATED_MetadataItemCollection" | "DEPRECATED_MetadataItemPolymorphic" | "DEPRECATED_MetadataDict"; /** - * ControlNetModelFormat + * StableDiffusionOnnxModelFormat * @description An enumeration. * @enum {string} */ - ControlNetModelFormat: "checkpoint" | "diffusers"; + StableDiffusionOnnxModelFormat: "olive" | "onnx"; /** - * T2IAdapterModelFormat + * CLIPVisionModelFormat * @description An enumeration. * @enum {string} */ - T2IAdapterModelFormat: "diffusers"; + CLIPVisionModelFormat: "diffusers"; + /** + * StableDiffusion1ModelFormat + * @description An enumeration. + * @enum {string} + */ + StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; /** * StableDiffusionXLModelFormat * @description An enumeration. @@ -9727,11 +9788,11 @@ export type components = { */ StableDiffusion2ModelFormat: "checkpoint" | "diffusers"; /** - * StableDiffusion1ModelFormat + * T2IAdapterModelFormat * @description An enumeration. * @enum {string} */ - StableDiffusion1ModelFormat: "checkpoint" | "diffusers"; + T2IAdapterModelFormat: "diffusers"; /** * IPAdapterModelFormat * @description An enumeration. @@ -9739,17 +9800,11 @@ export type components = { */ IPAdapterModelFormat: "invokeai"; /** - * StableDiffusionOnnxModelFormat + * ControlNetModelFormat * @description An enumeration. * @enum {string} */ - StableDiffusionOnnxModelFormat: "olive" | "onnx"; - /** - * CLIPVisionModelFormat - * @description An enumeration. - * @enum {string} - */ - CLIPVisionModelFormat: "diffusers"; + ControlNetModelFormat: "checkpoint" | "diffusers"; }; responses: never; parameters: never;