mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
feat: Update LinearUI to use new backend (except Inpaint)
This commit is contained in:
816
invokeai/frontend/web/src/services/api/schema.d.ts
vendored
816
invokeai/frontend/web/src/services/api/schema.d.ts
vendored
@ -179,6 +179,11 @@ export type paths = {
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* @description Gets a full-resolution image file
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*/
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get: operations["get_image_full"];
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/**
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* Get Image Full
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* @description Gets a full-resolution image file
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*/
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head: operations["get_image_full"];
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};
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"/api/v1/images/i/{image_name}/thumbnail": {
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/**
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@ -707,6 +712,51 @@ export type components = {
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*/
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collection: (unknown)[];
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};
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/**
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* ColorCorrectInvocation
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* @description Shifts the colors of a target image to match the reference image, optionally
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* using a mask to only color-correct certain regions of the target image.
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*/
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ColorCorrectInvocation: {
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/**
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* Id
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* @description The id of this node. Must be unique among all nodes.
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*/
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id: string;
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/**
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* Is Intermediate
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* @description Whether or not this node is an intermediate node.
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* @default false
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*/
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is_intermediate?: boolean;
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/**
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* Type
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* @default color_correct
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* @enum {string}
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*/
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type?: "color_correct";
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/**
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* Image
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* @description The image to color-correct
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*/
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image?: components["schemas"]["ImageField"];
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/**
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* Reference
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* @description Reference image for color-correction
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*/
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reference?: components["schemas"]["ImageField"];
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/**
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* Mask
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* @description Mask to use when applying color-correction
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*/
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mask?: components["schemas"]["ImageField"];
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/**
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* Mask Blur Radius
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* @description Mask blur radius
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* @default 8
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*/
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mask_blur_radius?: number;
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};
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/** ColorField */
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ColorField: {
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/**
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@ -1037,6 +1087,12 @@ export type components = {
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* @description Core generation metadata for an image generated in InvokeAI.
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*/
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CoreMetadata: {
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/**
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* App Version
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* @description The version of InvokeAI used to generate this image
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* @default 3.0.2
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*/
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app_version?: string;
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/**
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* Generation Mode
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* @description The generation mode that output this image
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@ -1219,6 +1275,93 @@ export type components = {
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/** Deleted Images */
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deleted_images: (string)[];
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};
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/**
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* DenoiseLatentsInvocation
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* @description Denoises noisy latents to decodable images
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*/
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DenoiseLatentsInvocation: {
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/**
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* Id
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* @description The id of this node. Must be unique among all nodes.
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*/
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id: string;
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/**
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* Is Intermediate
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* @description Whether or not this node is an intermediate node.
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* @default false
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*/
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is_intermediate?: boolean;
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/**
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* Type
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* @default denoise_latents
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* @enum {string}
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*/
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type?: "denoise_latents";
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/**
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* Positive Conditioning
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* @description Positive conditioning for generation
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*/
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positive_conditioning?: components["schemas"]["ConditioningField"];
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/**
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* Negative Conditioning
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* @description Negative conditioning for generation
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*/
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negative_conditioning?: components["schemas"]["ConditioningField"];
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/**
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* Noise
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* @description The noise to use
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*/
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noise?: components["schemas"]["LatentsField"];
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/**
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* Steps
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* @description The number of steps to use to generate the image
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* @default 10
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*/
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steps?: number;
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/**
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* Cfg Scale
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* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
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* @default 7.5
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*/
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cfg_scale?: number | (number)[];
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/**
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* Denoising Start
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* @default 0
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*/
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denoising_start?: number;
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/**
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* Denoising End
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* @default 1
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*/
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denoising_end?: number;
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/**
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* Scheduler
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* @description The scheduler to use
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* @default euler
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* @enum {string}
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*/
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scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
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/**
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* Unet
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* @description UNet submodel
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*/
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unet?: components["schemas"]["UNetField"];
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/**
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* Control
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* @description The control to use
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*/
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control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
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/**
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* Latents
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* @description The latents to use as a base image
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*/
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latents?: components["schemas"]["LatentsField"];
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/**
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* Mask
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* @description Mask
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*/
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mask?: components["schemas"]["ImageField"];
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};
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/**
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* DivideInvocation
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* @description Divides two numbers
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@ -1443,7 +1586,7 @@ export type components = {
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* @description The nodes in this graph
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*/
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nodes?: {
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[key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | 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"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | 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"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
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[key: string]: (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"]["LoadImageInvocation"] | 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"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | 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;
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};
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/**
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* Edges
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@ -1486,7 +1629,7 @@ export type components = {
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* @description The results of node executions
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*/
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results: {
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[key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
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[key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
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};
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/**
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* Errors
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@ -2593,171 +2736,6 @@ export type components = {
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*/
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seed?: number;
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};
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/**
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* InpaintInvocation
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* @description Generates an image using inpaint.
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*/
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InpaintInvocation: {
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/**
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* Id
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* @description The id of this node. Must be unique among all nodes.
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*/
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id: string;
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/**
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* Is Intermediate
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* @description Whether or not this node is an intermediate node.
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* @default false
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*/
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is_intermediate?: boolean;
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/**
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* Type
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* @default inpaint
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* @enum {string}
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*/
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type?: "inpaint";
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/**
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* Positive Conditioning
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* @description Positive conditioning for generation
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*/
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positive_conditioning?: components["schemas"]["ConditioningField"];
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/**
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* Negative Conditioning
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* @description Negative conditioning for generation
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*/
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negative_conditioning?: components["schemas"]["ConditioningField"];
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/**
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* Seed
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* @description The seed to use (omit for random)
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*/
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seed?: number;
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/**
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* Steps
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* @description The number of steps to use to generate the image
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* @default 30
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*/
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steps?: number;
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/**
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* Width
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* @description The width of the resulting image
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* @default 512
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*/
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width?: number;
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/**
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* Height
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* @description The height of the resulting image
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* @default 512
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*/
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height?: number;
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/**
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* Cfg Scale
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* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
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* @default 7.5
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*/
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cfg_scale?: number;
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/**
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* Scheduler
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* @description The scheduler to use
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* @default euler
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* @enum {string}
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*/
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scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
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/**
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* Unet
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* @description UNet model
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||||
*/
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unet?: components["schemas"]["UNetField"];
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/**
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* Vae
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* @description Vae model
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||||
*/
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vae?: components["schemas"]["VaeField"];
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/**
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* Image
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||||
* @description The input image
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||||
*/
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image?: components["schemas"]["ImageField"];
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/**
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* Strength
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||||
* @description The strength of the original image
|
||||
* @default 0.75
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||||
*/
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||||
strength?: number;
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||||
/**
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* Fit
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||||
* @description Whether or not the result should be fit to the aspect ratio of the input image
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* @default true
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*/
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fit?: boolean;
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||||
/**
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* Mask
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||||
* @description The mask
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||||
*/
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||||
mask?: components["schemas"]["ImageField"];
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||||
/**
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||||
* Seam Size
|
||||
* @description The seam inpaint size (px)
|
||||
* @default 96
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||||
*/
|
||||
seam_size?: number;
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||||
/**
|
||||
* Seam Blur
|
||||
* @description The seam inpaint blur radius (px)
|
||||
* @default 16
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||||
*/
|
||||
seam_blur?: number;
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||||
/**
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||||
* Seam Strength
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||||
* @description The seam inpaint strength
|
||||
* @default 0.75
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||||
*/
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||||
seam_strength?: number;
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||||
/**
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||||
* Seam Steps
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||||
* @description The number of steps to use for seam inpaint
|
||||
* @default 30
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||||
*/
|
||||
seam_steps?: number;
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||||
/**
|
||||
* Tile Size
|
||||
* @description The tile infill method size (px)
|
||||
* @default 32
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||||
*/
|
||||
tile_size?: number;
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||||
/**
|
||||
* Infill Method
|
||||
* @description The method used to infill empty regions (px)
|
||||
* @default patchmatch
|
||||
* @enum {string}
|
||||
*/
|
||||
infill_method?: "patchmatch" | "tile" | "solid";
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||||
/**
|
||||
* Inpaint Width
|
||||
* @description The width of the inpaint region (px)
|
||||
*/
|
||||
inpaint_width?: number;
|
||||
/**
|
||||
* Inpaint Height
|
||||
* @description The height of the inpaint region (px)
|
||||
*/
|
||||
inpaint_height?: number;
|
||||
/**
|
||||
* Inpaint Fill
|
||||
* @description The solid infill method color
|
||||
* @default {
|
||||
* "r": 127,
|
||||
* "g": 127,
|
||||
* "b": 127,
|
||||
* "a": 255
|
||||
* }
|
||||
*/
|
||||
inpaint_fill?: components["schemas"]["ColorField"];
|
||||
/**
|
||||
* Inpaint Replace
|
||||
* @description The amount by which to replace masked areas with latent noise
|
||||
* @default 0
|
||||
*/
|
||||
inpaint_replace?: number;
|
||||
};
|
||||
/**
|
||||
* IntCollectionOutput
|
||||
* @description A collection of integers
|
||||
@ -2854,6 +2832,11 @@ export type components = {
|
||||
* @description The name of the latents
|
||||
*/
|
||||
latents_name: string;
|
||||
/**
|
||||
* Seed
|
||||
* @description Seed used to generate this latents
|
||||
*/
|
||||
seed?: number;
|
||||
};
|
||||
/**
|
||||
* LatentsOutput
|
||||
@ -2932,84 +2915,6 @@ export type components = {
|
||||
*/
|
||||
metadata?: components["schemas"]["CoreMetadata"];
|
||||
};
|
||||
/**
|
||||
* LatentsToLatentsInvocation
|
||||
* @description Generates latents using latents as base image.
|
||||
*/
|
||||
LatentsToLatentsInvocation: {
|
||||
/**
|
||||
* 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 l2l
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "l2l";
|
||||
/**
|
||||
* Positive Conditioning
|
||||
* @description Positive conditioning for generation
|
||||
*/
|
||||
positive_conditioning?: components["schemas"]["ConditioningField"];
|
||||
/**
|
||||
* Negative Conditioning
|
||||
* @description Negative conditioning for generation
|
||||
*/
|
||||
negative_conditioning?: components["schemas"]["ConditioningField"];
|
||||
/**
|
||||
* Noise
|
||||
* @description The noise to use
|
||||
*/
|
||||
noise?: components["schemas"]["LatentsField"];
|
||||
/**
|
||||
* Steps
|
||||
* @description The number of steps to use to generate the image
|
||||
* @default 10
|
||||
*/
|
||||
steps?: number;
|
||||
/**
|
||||
* Cfg Scale
|
||||
* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
|
||||
* @default 7.5
|
||||
*/
|
||||
cfg_scale?: number | (number)[];
|
||||
/**
|
||||
* Scheduler
|
||||
* @description The scheduler to use
|
||||
* @default euler
|
||||
* @enum {string}
|
||||
*/
|
||||
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
|
||||
/**
|
||||
* Unet
|
||||
* @description UNet submodel
|
||||
*/
|
||||
unet?: components["schemas"]["UNetField"];
|
||||
/**
|
||||
* Control
|
||||
* @description The control to use
|
||||
*/
|
||||
control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
|
||||
/**
|
||||
* Latents
|
||||
* @description The latents to use as a base image
|
||||
*/
|
||||
latents?: components["schemas"]["LatentsField"];
|
||||
/**
|
||||
* Strength
|
||||
* @description The strength of the latents to use
|
||||
* @default 0.7
|
||||
*/
|
||||
strength?: number;
|
||||
};
|
||||
/**
|
||||
* LeresImageProcessorInvocation
|
||||
* @description Applies leres processing to image
|
||||
@ -3368,6 +3273,54 @@ export type components = {
|
||||
*/
|
||||
model: components["schemas"]["MainModelField"];
|
||||
};
|
||||
/**
|
||||
* MaskEdgeInvocation
|
||||
* @description Applies an edge mask to an image
|
||||
*/
|
||||
MaskEdgeInvocation: {
|
||||
/**
|
||||
* 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 mask_edge
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "mask_edge";
|
||||
/**
|
||||
* Image
|
||||
* @description The image to apply the mask to
|
||||
*/
|
||||
image?: components["schemas"]["ImageField"];
|
||||
/**
|
||||
* Edge Size
|
||||
* @description The size of the edge
|
||||
*/
|
||||
edge_size: number;
|
||||
/**
|
||||
* Edge Blur
|
||||
* @description The amount of blur on the edge
|
||||
*/
|
||||
edge_blur: number;
|
||||
/**
|
||||
* Low Threshold
|
||||
* @description First threshold for the hysteresis procedure in Canny edge detection
|
||||
*/
|
||||
low_threshold: number;
|
||||
/**
|
||||
* High Threshold
|
||||
* @description Second threshold for the hysteresis procedure in Canny edge detection
|
||||
*/
|
||||
high_threshold: number;
|
||||
};
|
||||
/**
|
||||
* MaskFromAlphaInvocation
|
||||
* @description Extracts the alpha channel of an image as a mask.
|
||||
@ -4937,83 +4890,6 @@ export type components = {
|
||||
*/
|
||||
clip2?: components["schemas"]["ClipField"];
|
||||
};
|
||||
/**
|
||||
* SDXLLatentsToLatentsInvocation
|
||||
* @description Generates latents from conditionings.
|
||||
*/
|
||||
SDXLLatentsToLatentsInvocation: {
|
||||
/**
|
||||
* 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 l2l_sdxl
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "l2l_sdxl";
|
||||
/**
|
||||
* Positive Conditioning
|
||||
* @description Positive conditioning for generation
|
||||
*/
|
||||
positive_conditioning?: components["schemas"]["ConditioningField"];
|
||||
/**
|
||||
* Negative Conditioning
|
||||
* @description Negative conditioning for generation
|
||||
*/
|
||||
negative_conditioning?: components["schemas"]["ConditioningField"];
|
||||
/**
|
||||
* Noise
|
||||
* @description The noise to use
|
||||
*/
|
||||
noise?: components["schemas"]["LatentsField"];
|
||||
/**
|
||||
* Steps
|
||||
* @description The number of steps to use to generate the image
|
||||
* @default 10
|
||||
*/
|
||||
steps?: number;
|
||||
/**
|
||||
* Cfg Scale
|
||||
* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
|
||||
* @default 7.5
|
||||
*/
|
||||
cfg_scale?: number | (number)[];
|
||||
/**
|
||||
* Scheduler
|
||||
* @description The scheduler to use
|
||||
* @default euler
|
||||
* @enum {string}
|
||||
*/
|
||||
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
|
||||
/**
|
||||
* Unet
|
||||
* @description UNet submodel
|
||||
*/
|
||||
unet?: components["schemas"]["UNetField"];
|
||||
/**
|
||||
* Latents
|
||||
* @description Initial latents
|
||||
*/
|
||||
latents?: components["schemas"]["LatentsField"];
|
||||
/**
|
||||
* Denoising Start
|
||||
* @default 0
|
||||
*/
|
||||
denoising_start?: number;
|
||||
/**
|
||||
* Denoising End
|
||||
* @default 1
|
||||
*/
|
||||
denoising_end?: number;
|
||||
};
|
||||
/**
|
||||
* SDXLLoraLoaderInvocation
|
||||
* @description Apply selected lora to unet and text_encoder.
|
||||
@ -5150,81 +5026,6 @@ export type components = {
|
||||
*/
|
||||
vae?: components["schemas"]["VaeField"];
|
||||
};
|
||||
/**
|
||||
* SDXLRawPromptInvocation
|
||||
* @description Pass unmodified prompt to conditioning without compel processing.
|
||||
*/
|
||||
SDXLRawPromptInvocation: {
|
||||
/**
|
||||
* 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 sdxl_raw_prompt
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "sdxl_raw_prompt";
|
||||
/**
|
||||
* Prompt
|
||||
* @description Prompt
|
||||
* @default
|
||||
*/
|
||||
prompt?: string;
|
||||
/**
|
||||
* Style
|
||||
* @description Style prompt
|
||||
* @default
|
||||
*/
|
||||
style?: string;
|
||||
/**
|
||||
* Original Width
|
||||
* @default 1024
|
||||
*/
|
||||
original_width?: number;
|
||||
/**
|
||||
* Original Height
|
||||
* @default 1024
|
||||
*/
|
||||
original_height?: number;
|
||||
/**
|
||||
* Crop Top
|
||||
* @default 0
|
||||
*/
|
||||
crop_top?: number;
|
||||
/**
|
||||
* Crop Left
|
||||
* @default 0
|
||||
*/
|
||||
crop_left?: number;
|
||||
/**
|
||||
* Target Width
|
||||
* @default 1024
|
||||
*/
|
||||
target_width?: number;
|
||||
/**
|
||||
* Target Height
|
||||
* @default 1024
|
||||
*/
|
||||
target_height?: number;
|
||||
/**
|
||||
* Clip
|
||||
* @description Clip to use
|
||||
*/
|
||||
clip?: components["schemas"]["ClipField"];
|
||||
/**
|
||||
* Clip2
|
||||
* @description Clip2 to use
|
||||
*/
|
||||
clip2?: components["schemas"]["ClipField"];
|
||||
};
|
||||
/**
|
||||
* SDXLRefinerCompelPromptInvocation
|
||||
* @description Parse prompt using compel package to conditioning.
|
||||
@ -5339,132 +5140,6 @@ export type components = {
|
||||
*/
|
||||
vae?: components["schemas"]["VaeField"];
|
||||
};
|
||||
/**
|
||||
* SDXLRefinerRawPromptInvocation
|
||||
* @description Parse prompt using compel package to conditioning.
|
||||
*/
|
||||
SDXLRefinerRawPromptInvocation: {
|
||||
/**
|
||||
* 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 sdxl_refiner_raw_prompt
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "sdxl_refiner_raw_prompt";
|
||||
/**
|
||||
* Style
|
||||
* @description Style prompt
|
||||
* @default
|
||||
*/
|
||||
style?: string;
|
||||
/**
|
||||
* Original Width
|
||||
* @default 1024
|
||||
*/
|
||||
original_width?: number;
|
||||
/**
|
||||
* Original Height
|
||||
* @default 1024
|
||||
*/
|
||||
original_height?: number;
|
||||
/**
|
||||
* Crop Top
|
||||
* @default 0
|
||||
*/
|
||||
crop_top?: number;
|
||||
/**
|
||||
* Crop Left
|
||||
* @default 0
|
||||
*/
|
||||
crop_left?: number;
|
||||
/**
|
||||
* Aesthetic Score
|
||||
* @default 6
|
||||
*/
|
||||
aesthetic_score?: number;
|
||||
/**
|
||||
* Clip2
|
||||
* @description Clip to use
|
||||
*/
|
||||
clip2?: components["schemas"]["ClipField"];
|
||||
};
|
||||
/**
|
||||
* SDXLTextToLatentsInvocation
|
||||
* @description Generates latents from conditionings.
|
||||
*/
|
||||
SDXLTextToLatentsInvocation: {
|
||||
/**
|
||||
* 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 t2l_sdxl
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "t2l_sdxl";
|
||||
/**
|
||||
* Positive Conditioning
|
||||
* @description Positive conditioning for generation
|
||||
*/
|
||||
positive_conditioning?: components["schemas"]["ConditioningField"];
|
||||
/**
|
||||
* Negative Conditioning
|
||||
* @description Negative conditioning for generation
|
||||
*/
|
||||
negative_conditioning?: components["schemas"]["ConditioningField"];
|
||||
/**
|
||||
* Noise
|
||||
* @description The noise to use
|
||||
*/
|
||||
noise?: components["schemas"]["LatentsField"];
|
||||
/**
|
||||
* Steps
|
||||
* @description The number of steps to use to generate the image
|
||||
* @default 10
|
||||
*/
|
||||
steps?: number;
|
||||
/**
|
||||
* Cfg Scale
|
||||
* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
|
||||
* @default 7.5
|
||||
*/
|
||||
cfg_scale?: number | (number)[];
|
||||
/**
|
||||
* Scheduler
|
||||
* @description The scheduler to use
|
||||
* @default euler
|
||||
* @enum {string}
|
||||
*/
|
||||
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
|
||||
/**
|
||||
* Unet
|
||||
* @description UNet submodel
|
||||
*/
|
||||
unet?: components["schemas"]["UNetField"];
|
||||
/**
|
||||
* Denoising End
|
||||
* @default 1
|
||||
*/
|
||||
denoising_end?: number;
|
||||
};
|
||||
/**
|
||||
* ScaleLatentsInvocation
|
||||
* @description Scales latents by a given factor.
|
||||
@ -5863,73 +5538,6 @@ export type components = {
|
||||
*/
|
||||
b?: number;
|
||||
};
|
||||
/**
|
||||
* TextToLatentsInvocation
|
||||
* @description Generates latents from conditionings.
|
||||
*/
|
||||
TextToLatentsInvocation: {
|
||||
/**
|
||||
* 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 t2l
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "t2l";
|
||||
/**
|
||||
* Positive Conditioning
|
||||
* @description Positive conditioning for generation
|
||||
*/
|
||||
positive_conditioning?: components["schemas"]["ConditioningField"];
|
||||
/**
|
||||
* Negative Conditioning
|
||||
* @description Negative conditioning for generation
|
||||
*/
|
||||
negative_conditioning?: components["schemas"]["ConditioningField"];
|
||||
/**
|
||||
* Noise
|
||||
* @description The noise to use
|
||||
*/
|
||||
noise?: components["schemas"]["LatentsField"];
|
||||
/**
|
||||
* Steps
|
||||
* @description The number of steps to use to generate the image
|
||||
* @default 10
|
||||
*/
|
||||
steps?: number;
|
||||
/**
|
||||
* Cfg Scale
|
||||
* @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt
|
||||
* @default 7.5
|
||||
*/
|
||||
cfg_scale?: number | (number)[];
|
||||
/**
|
||||
* Scheduler
|
||||
* @description The scheduler to use
|
||||
* @default euler
|
||||
* @enum {string}
|
||||
*/
|
||||
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
|
||||
/**
|
||||
* Unet
|
||||
* @description UNet submodel
|
||||
*/
|
||||
unet?: components["schemas"]["UNetField"];
|
||||
/**
|
||||
* Control
|
||||
* @description The control to use
|
||||
*/
|
||||
control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
|
||||
};
|
||||
/** TextualInversionModelConfig */
|
||||
TextualInversionModelConfig: {
|
||||
/** Model Name */
|
||||
@ -6139,36 +5747,36 @@ export type components = {
|
||||
*/
|
||||
image?: components["schemas"]["ImageField"];
|
||||
};
|
||||
/**
|
||||
* ControlNetModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusionXLModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusionOnnxModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusionOnnxModelFormat: "olive" | "onnx";
|
||||
/**
|
||||
* ControlNetModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion2ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
};
|
||||
responses: never;
|
||||
parameters: never;
|
||||
@ -6279,7 +5887,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | 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"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | 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"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
"application/json": 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"]["LoadImageInvocation"] | 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"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | 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"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -6316,7 +5924,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | 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"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | 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"] | components["schemas"]["LatentsToLatentsInvocation"];
|
||||
"application/json": 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"]["LoadImageInvocation"] | 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"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | 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"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
|
@ -120,9 +120,6 @@ export type RandomRangeInvocation = TypeReq<
|
||||
export type RangeOfSizeInvocation = TypeReq<
|
||||
components['schemas']['RangeOfSizeInvocation']
|
||||
>;
|
||||
export type InpaintInvocation = TypeReq<
|
||||
components['schemas']['InpaintInvocation']
|
||||
>;
|
||||
export type ImageResizeInvocation = TypeReq<
|
||||
components['schemas']['ImageResizeInvocation']
|
||||
>;
|
||||
@ -139,14 +136,11 @@ export type DynamicPromptInvocation = TypeReq<
|
||||
components['schemas']['DynamicPromptInvocation']
|
||||
>;
|
||||
export type NoiseInvocation = TypeReq<components['schemas']['NoiseInvocation']>;
|
||||
export type TextToLatentsInvocation = TypeReq<
|
||||
components['schemas']['TextToLatentsInvocation']
|
||||
>;
|
||||
export type ONNXTextToLatentsInvocation = TypeReq<
|
||||
components['schemas']['ONNXTextToLatentsInvocation']
|
||||
>;
|
||||
export type LatentsToLatentsInvocation = TypeReq<
|
||||
components['schemas']['LatentsToLatentsInvocation']
|
||||
export type DenoiseLatentsInvocation = TypeReq<
|
||||
components['schemas']['DenoiseLatentsInvocation']
|
||||
>;
|
||||
export type ImageToLatentsInvocation = TypeReq<
|
||||
components['schemas']['ImageToLatentsInvocation']
|
||||
|
Reference in New Issue
Block a user