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chore(ui): typegen
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  • invokeai/frontend/web/src/services/api

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Diff for: invokeai/frontend/web/src/services/api/schema.ts

+36-36
Original file line numberDiff line numberDiff line change
@@ -3052,7 +3052,7 @@ export type components = {
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type: "clip_output";
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};
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/**
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* CLIP Skip
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* Apply CLIP Skip - SD1.5, SDXL
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* @description Skip layers in clip text_encoder model.
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*/
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CLIPSkipInvocation: {
@@ -4152,7 +4152,7 @@ export type components = {
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type: "color_output";
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};
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/**
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* Prompt
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* Prompt - SD1.5
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* @description Parse prompt using compel package to conditioning.
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*/
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CompelInvocation: {
@@ -4815,7 +4815,7 @@ export type components = {
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type: "controlnet";
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};
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/**
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* ControlNet
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* ControlNet - SD1.5, SDXL
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* @description Collects ControlNet info to pass to other nodes
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*/
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ControlNetInvocation: {
@@ -5646,7 +5646,7 @@ export type components = {
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deleted_images: string[];
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};
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/**
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* Denoise Latents
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* Denoise - SD1.5, SDXL
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* @description Denoises noisy latents to decodable images
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*/
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DenoiseLatentsInvocation: {
@@ -5762,7 +5762,7 @@ export type components = {
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*/
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type: "denoise_latents";
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};
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/** Denoise Latents + metadata */
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/** Denoise - SD1.5, SDXL + Metadata */
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DenoiseLatentsMetaInvocation: {
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/**
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* @description Optional metadata to be saved with the image
@@ -7173,7 +7173,7 @@ export type components = {
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type: "flux_conditioning_output";
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};
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/**
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* Flux Control LoRA
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* Control LoRA - FLUX
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* @description LoRA model and Image to use with FLUX transformer generation.
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*/
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FluxControlLoRALoaderInvocation: {
@@ -7526,7 +7526,7 @@ export type components = {
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type: "flux_denoise";
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};
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/**
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* Flux Denoise + metadata
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* FLUX Denoise + Metadata
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* @description Run denoising process with a FLUX transformer model + metadata.
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*/
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FluxDenoiseLatentsMetaInvocation: {
@@ -7847,7 +7847,7 @@ export type components = {
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type: "flux_lora_loader_output";
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};
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/**
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* Flux Main Model
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* Main Model - FLUX
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* @description Loads a flux base model, outputting its submodels.
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*/
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FluxModelLoaderInvocation: {
@@ -8082,7 +8082,7 @@ export type components = {
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type: "flux_redux_output";
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};
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/**
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* FLUX Text Encoding
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* Prompt - FLUX
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* @description Encodes and preps a prompt for a flux image.
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*/
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FluxTextEncoderInvocation: {
@@ -8142,7 +8142,7 @@ export type components = {
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type: "flux_text_encoder";
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};
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/**
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* FLUX Latents to Image
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* Latents to Image - FLUX
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* @description Generates an image from latents.
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*/
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FluxVaeDecodeInvocation: {
@@ -8192,7 +8192,7 @@ export type components = {
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type: "flux_vae_decode";
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};
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/**
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* FLUX Image to Latents
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* Image to Latents - FLUX
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* @description Encodes an image into latents.
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*/
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FluxVaeEncodeInvocation: {
@@ -8273,7 +8273,7 @@ export type components = {
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b2: number;
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};
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/**
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* FreeU
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* Apply FreeU - SD1.5, SDXL
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* @description Applies FreeU to the UNet. Suggested values (b1/b2/s1/s2):
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*
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* SD1.5: 1.2/1.4/0.9/0.2,
@@ -8890,7 +8890,7 @@ export type components = {
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mask?: components["schemas"]["TensorField"] | null;
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};
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/**
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* IP-Adapter
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* IP-Adapter - SD1.5, SDXL
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* @description Collects IP-Adapter info to pass to other nodes.
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*/
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IPAdapterInvocation: {
@@ -9093,7 +9093,7 @@ export type components = {
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type: "ip_adapter_output";
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};
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/**
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* Ideal Size
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* Ideal Size - SD1.5, SDXL
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* @description Calculates the ideal size for generation to avoid duplication
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*/
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IdealSizeInvocation: {
@@ -10548,7 +10548,7 @@ export type components = {
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type: "img_scale";
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};
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/**
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* Image to Latents
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* Image to Latents - SD1.5, SDXL
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* @description Encodes an image into latents.
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*/
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ImageToLatentsInvocation: {
@@ -12511,7 +12511,7 @@ export type components = {
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type: "latents_output";
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};
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/**
12514-
* Latents to Image
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* Latents to Image - SD1.5, SDXL
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* @description Generates an image from latents.
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*/
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LatentsToImageInvocation: {
@@ -12870,7 +12870,7 @@ export type components = {
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type: "lineart_image_processor";
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};
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/**
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* LoRA Collection Loader
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* LoRA Collection - SD1.5
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* @description Applies a collection of LoRAs to the provided UNet and CLIP models.
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*/
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LoRACollectionLoader: {
@@ -13172,7 +13172,7 @@ export type components = {
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weight: number;
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};
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/**
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* LoRA Selector
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* LoRA Model - SD1.5
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* @description Selects a LoRA model and weight.
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*/
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LoRASelectorInvocation: {
@@ -13790,7 +13790,7 @@ export type components = {
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guidance?: number | null;
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};
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/**
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* Main Model
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* Main Model - SD1.5
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* @description Loads a main model, outputting its submodels.
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*/
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MainModelLoaderInvocation: {
@@ -15572,7 +15572,7 @@ export type components = {
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submodel_type?: components["schemas"]["SubModelType"] | null;
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};
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/**
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* Model identifier
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* Any Model
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* @description Selects any model, outputting it its identifier. Be careful with this one! The identifier will be accepted as
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* input for any model, even if the model types don't match. If you connect this to a mismatched input, you'll get an
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* error.
@@ -16157,7 +16157,7 @@ export type components = {
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value: string | number | components["schemas"]["ImageField"];
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};
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/**
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* Noise
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* Create Latent Noise
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* @description Generates latent noise.
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*/
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NoiseInvocation: {
@@ -17429,7 +17429,7 @@ export type components = {
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type: "sd3_conditioning_output";
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};
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/**
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* SD3 Denoise
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* Denoise - SD3
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* @description Run denoising process with a SD3 model.
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*/
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SD3DenoiseInvocation: {
@@ -17537,7 +17537,7 @@ export type components = {
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type: "sd3_denoise";
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};
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/**
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* SD3 Image to Latents
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* Image to Latents - SD3
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* @description Generates latents from an image.
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*/
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SD3ImageToLatentsInvocation: {
@@ -17587,7 +17587,7 @@ export type components = {
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type: "sd3_i2l";
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};
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/**
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* SD3 Latents to Image
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* Latents to Image - SD3
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* @description Generates an image from latents.
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*/
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SD3LatentsToImageInvocation: {
@@ -17637,7 +17637,7 @@ export type components = {
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type: "sd3_l2i";
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};
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/**
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* SDXL Prompt
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* Prompt - SDXL
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* @description Parse prompt using compel package to conditioning.
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*/
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SDXLCompelPromptInvocation: {
@@ -17726,7 +17726,7 @@ export type components = {
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type: "sdxl_compel_prompt";
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};
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/**
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* SDXL LoRA Collection Loader
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* LoRA Collection - SDXL
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* @description Applies a collection of SDXL LoRAs to the provided UNet and CLIP models.
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*/
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SDXLLoRACollectionLoader: {
@@ -17780,7 +17780,7 @@ export type components = {
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type: "sdxl_lora_collection_loader";
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};
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/**
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* SDXL LoRA
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* LoRA Model - SDXL
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* @description Apply selected lora to unet and text_encoder.
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*/
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SDXLLoRALoaderInvocation: {
@@ -17871,7 +17871,7 @@ export type components = {
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type: "sdxl_lora_loader_output";
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};
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/**
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* SDXL Main Model
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* Main Model - SDXL
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* @description Loads an sdxl base model, outputting its submodels.
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*/
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SDXLModelLoaderInvocation: {
@@ -17939,7 +17939,7 @@ export type components = {
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type: "sdxl_model_loader_output";
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};
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/**
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* SDXL Refiner Prompt
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* Prompt - SDXL Refiner
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* @description Parse prompt using compel package to conditioning.
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*/
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SDXLRefinerCompelPromptInvocation: {
@@ -18006,7 +18006,7 @@ export type components = {
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type: "sdxl_refiner_compel_prompt";
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};
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/**
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* SDXL Refiner Model
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* Refiner Model - SDXL
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* @description Loads an sdxl refiner model, outputting its submodels.
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*/
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SDXLRefinerModelLoaderInvocation: {
@@ -18232,7 +18232,7 @@ export type components = {
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*/
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SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
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/**
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* SD3 Main Model
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* Main Model - SD3
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* @description Loads a SD3 base model, outputting its submodels.
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*/
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Sd3ModelLoaderInvocation: {
@@ -18326,7 +18326,7 @@ export type components = {
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type: "sd3_model_loader_output";
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};
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/**
18329-
* SD3 Text Encoding
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* Prompt - SD3
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* @description Encodes and preps a prompt for a SD3 image.
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*/
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Sd3TextEncoderInvocation: {
@@ -18380,7 +18380,7 @@ export type components = {
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type: "sd3_text_encoder";
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};
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/**
18383-
* Seamless
18383+
* Apply Seamless - SD1.5, SDXL
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* @description Applies the seamless transformation to the Model UNet and VAE.
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*/
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SeamlessModeInvocation: {
@@ -19905,7 +19905,7 @@ export type components = {
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resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
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};
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/**
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* T2I-Adapter
19908+
* T2I-Adapter - SD1.5, SDXL
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* @description Collects T2I-Adapter info to pass to other nodes.
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*/
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T2IAdapterInvocation: {
@@ -20493,7 +20493,7 @@ export type components = {
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image: components["schemas"]["ImageField"];
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};
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/**
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* Tiled Multi-Diffusion Denoise Latents
20496+
* Tiled Multi-Diffusion Denoise - SD1.5, SDXL
2049720497
* @description Tiled Multi-Diffusion denoising.
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*
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* This node handles automatically tiling the input image, and is primarily intended for global refinement of images
@@ -20990,7 +20990,7 @@ export type components = {
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seamless_axes?: string[];
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};
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/**
20993-
* VAE
20993+
* VAE Model - SD1.5, SDXL, SD3, FLUX
2099420994
* @description Loads a VAE model, outputting a VaeLoaderOutput
2099520995
*/
2099620996
VAELoaderInvocation: {

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