From d4a2ea68fc5343e69bf055a0e0dbc3f83053dfcd Mon Sep 17 00:00:00 2001 From: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Date: Wed, 6 Mar 2024 19:37:52 +1100 Subject: [PATCH] chore(ui): typegen --- .../frontend/web/src/services/api/schema.ts | 255 +++++++++--------- 1 file changed, 132 insertions(+), 123 deletions(-) diff --git a/invokeai/frontend/web/src/services/api/schema.ts b/invokeai/frontend/web/src/services/api/schema.ts index 3af0a18051..9cd944e3e9 100644 --- a/invokeai/frontend/web/src/services/api/schema.ts +++ b/invokeai/frontend/web/src/services/api/schema.ts @@ -1301,14 +1301,6 @@ export type components = { */ format: "diffusers"; }; - /** CLIPVisionModelField */ - CLIPVisionModelField: { - /** - * Key - * @description Key to the CLIP Vision image encoder model - */ - key: string; - }; /** * CV2 Infill * @description Infills transparent areas of an image using OpenCV Inpainting @@ -1756,9 +1748,9 @@ export type components = { /** ClipField */ ClipField: { /** @description Info to load tokenizer submodel */ - tokenizer: components["schemas"]["ModelInfo"]; + tokenizer: components["schemas"]["ModelField"]; /** @description Info to load text_encoder submodel */ - text_encoder: components["schemas"]["ModelInfo"]; + text_encoder: components["schemas"]["ModelField"]; /** * Skipped Layers * @description Number of skipped layers in text_encoder @@ -1768,7 +1760,7 @@ export type components = { * Loras * @description Loras to apply on model loading */ - loras: components["schemas"]["LoraInfo"][]; + loras: components["schemas"]["LoRAField"][]; }; /** * CLIP Skip @@ -2283,7 +2275,7 @@ export type components = { /** @description The control image */ image: components["schemas"]["ImageField"]; /** @description The ControlNet model to use */ - control_model: components["schemas"]["ControlNetModelField"]; + control_model: components["schemas"]["ModelField"]; /** * Control Weight * @description The weight given to the ControlNet @@ -2482,7 +2474,7 @@ export type components = { /** @description The control image */ image?: components["schemas"]["ImageField"]; /** @description ControlNet model to load */ - control_model: components["schemas"]["ControlNetModelField"]; + control_model: components["schemas"]["ModelField"]; /** * Control Weight * @description The weight given to the ControlNet @@ -2522,16 +2514,44 @@ export type components = { */ type: "controlnet"; }; - /** - * ControlNetModelField - * @description ControlNet model field - */ - ControlNetModelField: { + /** ControlNetMetadataField */ + ControlNetMetadataField: { + /** @description The control image */ + image: components["schemas"]["ImageField"]; + /** @description The ControlNet model to use */ + control_model: components["schemas"]["ModelMetadataField"]; /** - * Key - * @description Model config record key for the ControlNet model + * Control Weight + * @description The weight given to the ControlNet + * @default 1 */ - key: string; + control_weight?: number | number[]; + /** + * Begin Step Percent + * @description When the ControlNet is first applied (% of total steps) + * @default 0 + */ + begin_step_percent?: number; + /** + * End Step Percent + * @description When the ControlNet is last applied (% of total steps) + * @default 1 + */ + end_step_percent?: number; + /** + * Control Mode + * @description The control mode to use + * @default balanced + * @enum {string} + */ + control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced"; + /** + * Resize Mode + * @description The resize mode to use + * @default just_resize + * @enum {string} + */ + resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple"; }; /** * ControlOutput @@ -2640,12 +2660,12 @@ export type components = { */ clip_skip?: number | null; /** @description The main model used for inference */ - model?: components["schemas"]["MainModelField"] | null; + model?: components["schemas"]["ModelMetadataField"] | null; /** * Controlnets * @description The ControlNets used for inference */ - controlnets?: components["schemas"]["ControlField"][] | null; + controlnets?: components["schemas"]["ControlNetMetadataField"][] | null; /** * Ipadapters * @description The IP Adapters used for inference @@ -2655,7 +2675,7 @@ export type components = { * T2Iadapters * @description The IP Adapters used for inference */ - t2iAdapters?: components["schemas"]["T2IAdapterField"][] | null; + t2iAdapters?: components["schemas"]["T2IAdapterMetadataField"][] | null; /** * Loras * @description The LoRAs used for inference @@ -2672,7 +2692,7 @@ export type components = { */ init_image?: string | null; /** @description The VAE used for decoding, if the main model's default was not used */ - vae?: components["schemas"]["VAEModelField"] | null; + vae?: components["schemas"]["ModelMetadataField"] | null; /** * Hrf Enabled * @description Whether or not high resolution fix was enabled. @@ -2699,7 +2719,7 @@ export type components = { */ negative_style_prompt?: string | null; /** @description The SDXL Refiner model used */ - refiner_model?: components["schemas"]["MainModelField"] | null; + refiner_model?: components["schemas"]["ModelMetadataField"] | null; /** * Refiner Cfg Scale * @description The classifier-free guidance scale parameter used for the refiner @@ -4110,7 +4130,7 @@ export type components = { * @description The nodes in this graph */ nodes: { - [key: string]: components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["SaveImageInvocation"]; + [key: string]: components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["StepParamEasingInvocation"]; }; /** * Edges @@ -4147,7 +4167,7 @@ export type components = { * @description The results of node executions */ results: { - [key: string]: components["schemas"]["ImageCollectionOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["IdealSizeOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["String2Output"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["BooleanCollectionOutput"]; + [key: string]: components["schemas"]["StringCollectionOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["PairTileImageOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["CalculateImageTilesOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["TileToPropertiesOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["GradientMaskOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["String2Output"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["IdealSizeOutput"]; }; /** * Errors @@ -4356,9 +4376,9 @@ export type components = { */ image: components["schemas"]["ImageField"] | components["schemas"]["ImageField"][]; /** @description The IP-Adapter model to use. */ - ip_adapter_model: components["schemas"]["IPAdapterModelField"]; + ip_adapter_model: components["schemas"]["ModelField"]; /** @description The name of the CLIP image encoder model. */ - image_encoder_model: components["schemas"]["CLIPVisionModelField"]; + image_encoder_model: components["schemas"]["ModelField"]; /** * Weight * @description The weight given to the ControlNet @@ -4409,7 +4429,7 @@ export type components = { * IP-Adapter Model * @description The IP-Adapter model. */ - ip_adapter_model: components["schemas"]["IPAdapterModelField"]; + ip_adapter_model: components["schemas"]["ModelField"]; /** * Weight * @description The weight given to the IP-Adapter @@ -4443,7 +4463,7 @@ export type components = { /** @description The IP-Adapter image prompt. */ image: components["schemas"]["ImageField"]; /** @description The IP-Adapter model. */ - ip_adapter_model: components["schemas"]["IPAdapterModelField"]; + ip_adapter_model: components["schemas"]["ModelMetadataField"]; /** * Weight * @description The weight given to the IP-Adapter @@ -4460,14 +4480,6 @@ export type components = { */ end_step_percent: number; }; - /** IPAdapterModelField */ - IPAdapterModelField: { - /** - * Key - * @description Key to the IP-Adapter model - */ - key: string; - }; /** IPAdapterOutput */ IPAdapterOutput: { /** @@ -6408,6 +6420,16 @@ export type components = { */ format: "diffusers"; }; + /** LoRAField */ + LoRAField: { + /** @description Info to load lora model */ + lora: components["schemas"]["ModelField"]; + /** + * Weight + * @description Weight to apply to lora model + */ + weight: number; + }; /** * LoRALyCORISConfig * @description Model config for LoRA/Lycoris models. @@ -6478,24 +6500,13 @@ export type components = { */ LoRAMetadataField: { /** @description LoRA model to load */ - model: components["schemas"]["LoRAModelField"]; + model: components["schemas"]["ModelMetadataField"]; /** * Weight * @description The weight at which the LoRA is applied to each model */ weight: number; }; - /** - * LoRAModelField - * @description LoRA model field - */ - LoRAModelField: { - /** - * Key - * @description LoRA model key - */ - key: string; - }; /** * LocalModelSource * @description A local file or directory path. @@ -6520,24 +6531,6 @@ export type components = { * @enum {integer} */ LogLevel: 0 | 10 | 20 | 30 | 40 | 50; - /** LoraInfo */ - LoraInfo: { - /** - * Key - * @description Key of model as returned by ModelRecordServiceBase.get_model() - */ - key: string; - /** - * @description Info to load submodel - * @default null - */ - submodel_type?: components["schemas"]["SubModelType"] | null; - /** - * Weight - * @description Lora's weight which to use when apply to model - */ - weight: number; - }; /** * LoRA * @description Apply selected lora to unet and text_encoder. @@ -6564,7 +6557,7 @@ export type components = { * LoRA * @description LoRA model to load */ - lora: components["schemas"]["LoRAModelField"]; + lora: components["schemas"]["ModelField"]; /** * Weight * @description The weight at which the LoRA is applied to each model @@ -6761,17 +6754,6 @@ export type components = { */ type: "main"; }; - /** - * MainModelField - * @description Main model field - */ - MainModelField: { - /** - * Key - * @description Model key - */ - key: string; - }; /** * Main Model * @description Loads a main model, outputting its submodels. @@ -6795,7 +6777,7 @@ export type components = { */ use_cache?: boolean; /** @description Main model (UNet, VAE, CLIP) to load */ - model: components["schemas"]["MainModelField"]; + model: components["schemas"]["ModelField"]; /** * type * @default main_model_loader @@ -7073,7 +7055,7 @@ export type components = { * @description Pydantic model for metadata with custom root of type dict[str, Any]. * Metadata is stored without a strict schema. */ - MetadataField: Record; + MetadataField: Record; /** * Metadata * @description Takes a MetadataItem or collection of MetadataItems and outputs a MetadataDict. @@ -7306,25 +7288,25 @@ export type components = { /** Cfg Rescale Multiplier */ cfg_rescale_multiplier: number | null; }; + /** ModelField */ + ModelField: { + /** + * Key + * @description Key of the model + */ + key: string; + /** + * @description Submodel type + * @default null + */ + submodel_type?: components["schemas"]["SubModelType"] | null; + }; /** * ModelFormat * @description Storage format of model. * @enum {string} */ ModelFormat: "diffusers" | "checkpoint" | "lycoris" | "onnx" | "olive" | "embedding_file" | "embedding_folder" | "invokeai"; - /** ModelInfo */ - ModelInfo: { - /** - * Key - * @description Key of model as returned by ModelRecordServiceBase.get_model() - */ - key: string; - /** - * @description Info to load submodel - * @default null - */ - submodel_type?: components["schemas"]["SubModelType"] | null; - }; /** * ModelInstallJob * @description Object that tracks the current status of an install request. @@ -7432,6 +7414,20 @@ export type components = { */ unet: components["schemas"]["UNetField"]; }; + /** + * ModelMetadataField + * @description Model Metadata Field + */ + ModelMetadataField: { + /** Key */ + key: string; + /** Hash */ + hash: string; + /** Name */ + name: string; + base: components["schemas"]["BaseModelType"]; + type: components["schemas"]["ModelType"]; + }; /** * ModelRecordChanges * @description A set of changes to apply to a model. @@ -8418,7 +8414,7 @@ export type components = { * LoRA * @description LoRA model to load */ - lora: components["schemas"]["LoRAModelField"]; + lora: components["schemas"]["ModelField"]; /** * Weight * @description The weight at which the LoRA is applied to each model @@ -8500,7 +8496,7 @@ export type components = { */ use_cache?: boolean; /** @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load */ - model: components["schemas"]["MainModelField"]; + model: components["schemas"]["ModelField"]; /** * type * @default sdxl_model_loader @@ -8626,7 +8622,7 @@ export type components = { */ use_cache?: boolean; /** @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load */ - model: components["schemas"]["MainModelField"]; + model: components["schemas"]["ModelField"]; /** * type * @default sdxl_refiner_model_loader @@ -9726,7 +9722,7 @@ export type components = { /** @description The T2I-Adapter image prompt. */ image: components["schemas"]["ImageField"]; /** @description The T2I-Adapter model to use. */ - t2i_adapter_model: components["schemas"]["T2IAdapterModelField"]; + t2i_adapter_model: components["schemas"]["ModelField"]; /** * Weight * @description The weight given to the T2I-Adapter @@ -9781,7 +9777,7 @@ export type components = { * T2I-Adapter Model * @description The T2I-Adapter model. */ - t2i_adapter_model: components["schemas"]["T2IAdapterModelField"]; + t2i_adapter_model: components["schemas"]["ModelField"]; /** * Weight * @description The weight given to the T2I-Adapter @@ -9814,13 +9810,37 @@ export type components = { */ type: "t2i_adapter"; }; - /** T2IAdapterModelField */ - T2IAdapterModelField: { + /** T2IAdapterMetadataField */ + T2IAdapterMetadataField: { + /** @description The T2I-Adapter image prompt. */ + image: components["schemas"]["ImageField"]; + /** @description The T2I-Adapter model to use. */ + t2i_adapter_model: components["schemas"]["ModelMetadataField"]; /** - * Key - * @description Model record key for the T2I-Adapter model + * Weight + * @description The weight given to the T2I-Adapter + * @default 1 */ - key: string; + weight?: number | number[]; + /** + * Begin Step Percent + * @description When the T2I-Adapter is first applied (% of total steps) + * @default 0 + */ + begin_step_percent?: number; + /** + * End Step Percent + * @description When the T2I-Adapter is last applied (% of total steps) + * @default 1 + */ + end_step_percent?: number; + /** + * Resize Mode + * @description The resize mode to use + * @default just_resize + * @enum {string} + */ + resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple"; }; /** T2IAdapterOutput */ T2IAdapterOutput: { @@ -10121,14 +10141,14 @@ export type components = { /** UNetField */ UNetField: { /** @description Info to load unet submodel */ - unet: components["schemas"]["ModelInfo"]; + unet: components["schemas"]["ModelField"]; /** @description Info to load scheduler submodel */ - scheduler: components["schemas"]["ModelInfo"]; + scheduler: components["schemas"]["ModelField"]; /** * Loras * @description Loras to apply on model loading */ - loras: components["schemas"]["LoraInfo"][]; + loras: components["schemas"]["LoRAField"][]; /** * Seamless Axes * @description Axes("x" and "y") to which apply seamless @@ -10374,17 +10394,6 @@ export type components = { */ format: "diffusers"; }; - /** - * VAEModelField - * @description Vae model field - */ - VAEModelField: { - /** - * Key - * @description Model's key - */ - key: string; - }; /** * VAEOutput * @description Base class for invocations that output a VAE field @@ -10405,7 +10414,7 @@ export type components = { /** VaeField */ VaeField: { /** @description Info to load vae submodel */ - vae: components["schemas"]["ModelInfo"]; + vae: components["schemas"]["ModelField"]; /** * Seamless Axes * @description Axes("x" and "y") to which apply seamless @@ -10438,7 +10447,7 @@ export type components = { * VAE * @description VAE model to load */ - vae_model: components["schemas"]["VAEModelField"]; + vae_model: components["schemas"]["ModelField"]; /** * type * @default vae_loader