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feat: Update LinearUI to use new backend (except Inpaint)

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This commit is contained in:
blessedcoolant 2023-08-11 22:22:01 +12:00
parent 87ce4ab27c
commit 7479f9cc02
12 changed files with 317 additions and 708 deletions
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2
invokeai/frontend/web/scripts/typegen.js
View File

@ -1,7 +1,7 @@
import fs from 'node:fs';
import openapiTS from 'openapi-typescript';
const OPENAPI_URL = 'http://localhost:9090/openapi.json';
const OPENAPI_URL = 'http://127.0.0.1:9090/openapi.json';
const OUTPUT_FILE = 'src/services/api/schema.d.ts';
async function main() {

18
invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
View File

@ -2,12 +2,12 @@ import { RootState } from 'app/store/store';
import { MetadataAccumulatorInvocation } from 'services/api/types';
import { NonNullableGraph } from '../../types/types';
import {
DENOISE_LATENTS,
IMAGE_TO_LATENTS,
LATENTS_TO_IMAGE,
METADATA_ACCUMULATOR,
SDXL_LATENTS_TO_LATENTS,
SDXL_MODEL_LOADER,
SDXL_REFINER_LATENTS_TO_LATENTS,
SDXL_REFINER_MODEL_LOADER,
SDXL_REFINER_NEGATIVE_CONDITIONING,
SDXL_REFINER_POSITIVE_CONDITIONING,
@ -91,9 +91,9 @@ export const addSDXLRefinerToGraph = (
style: `${negativePrompt} ${negativeStylePrompt}`,
aesthetic_score: refinerAestheticScore,
};
graph.nodes[SDXL_REFINER_LATENTS_TO_LATENTS] = {
type: 'l2l_sdxl',
id: SDXL_REFINER_LATENTS_TO_LATENTS,
graph.nodes[DENOISE_LATENTS] = {
type: 'denoise_latents',
id: DENOISE_LATENTS,
cfg_scale: refinerCFGScale,
steps: refinerSteps / (1 - Math.min(refinerStart, 0.99)),
scheduler: refinerScheduler,
@ -108,7 +108,7 @@ export const addSDXLRefinerToGraph = (
field: 'unet',
},
destination: {
node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'unet',
},
},
@ -148,7 +148,7 @@ export const addSDXLRefinerToGraph = (
field: 'conditioning',
},
destination: {
node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'positive_conditioning',
},
},
@ -158,7 +158,7 @@ export const addSDXLRefinerToGraph = (
field: 'conditioning',
},
destination: {
node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'negative_conditioning',
},
},
@ -168,13 +168,13 @@ export const addSDXLRefinerToGraph = (
field: 'latents',
},
destination: {
node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
},
{
source: {
node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
destination: {

27
invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
View File

@ -15,10 +15,10 @@ import { addVAEToGraph } from './addVAEToGraph';
import { addWatermarkerToGraph } from './addWatermarkerToGraph';
import {
CLIP_SKIP,
DENOISE_LATENTS,
IMAGE_TO_IMAGE_GRAPH,
IMAGE_TO_LATENTS,
LATENTS_TO_IMAGE,
LATENTS_TO_LATENTS,
MAIN_MODEL_LOADER,
METADATA_ACCUMULATOR,
NEGATIVE_CONDITIONING,
@ -105,14 +105,15 @@ export const buildCanvasImageToImageGraph = (
is_intermediate: true,
skipped_layers: clipSkip,
},
[LATENTS_TO_LATENTS]: {
type: 'l2l',
id: LATENTS_TO_LATENTS,
[DENOISE_LATENTS]: {
type: 'denoise_latents',
id: DENOISE_LATENTS,
is_intermediate: true,
cfg_scale,
scheduler,
steps,
strength,
denoising_start: 1 - strength,
denoising_end: 1,
},
[IMAGE_TO_LATENTS]: {
type: 'i2l',
@ -162,7 +163,7 @@ export const buildCanvasImageToImageGraph = (
},
{
source: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
destination: {
@ -176,7 +177,7 @@ export const buildCanvasImageToImageGraph = (
field: 'latents',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
},
@ -186,7 +187,7 @@ export const buildCanvasImageToImageGraph = (
field: 'noise',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'noise',
},
},
@ -196,7 +197,7 @@ export const buildCanvasImageToImageGraph = (
field: 'unet',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'unet',
},
},
@ -206,7 +207,7 @@ export const buildCanvasImageToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'negative_conditioning',
},
},
@ -216,7 +217,7 @@ export const buildCanvasImageToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'positive_conditioning',
},
},
@ -324,7 +325,7 @@ export const buildCanvasImageToImageGraph = (
});
// add LoRA support
addLoRAsToGraph(state, graph, LATENTS_TO_LATENTS);
addLoRAsToGraph(state, graph, DENOISE_LATENTS);
// optionally add custom VAE
addVAEToGraph(state, graph);
@ -333,7 +334,7 @@ export const buildCanvasImageToImageGraph = (
addDynamicPromptsToGraph(state, graph);
// add controlnet, mutating `graph`
addControlNetToLinearGraph(state, graph, LATENTS_TO_LATENTS);
addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
// NSFW & watermark - must be last thing added to graph
if (state.system.shouldUseNSFWChecker) {

36
invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
View File

@ -2,6 +2,10 @@ import { logger } from 'app/logging/logger';
import { RootState } from 'app/store/store';
import { NonNullableGraph } from 'features/nodes/types/types';
import { initialGenerationState } from 'features/parameters/store/generationSlice';
import {
DenoiseLatentsInvocation,
ONNXTextToLatentsInvocation,
} from 'services/api/types';
import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
import { addLoRAsToGraph } from './addLoRAsToGraph';
@ -10,20 +14,16 @@ import { addVAEToGraph } from './addVAEToGraph';
import { addWatermarkerToGraph } from './addWatermarkerToGraph';
import {
CLIP_SKIP,
DENOISE_LATENTS,
LATENTS_TO_IMAGE,
MAIN_MODEL_LOADER,
ONNX_MODEL_LOADER,
METADATA_ACCUMULATOR,
NEGATIVE_CONDITIONING,
NOISE,
ONNX_MODEL_LOADER,
POSITIVE_CONDITIONING,
TEXT_TO_IMAGE_GRAPH,
TEXT_TO_LATENTS,
} from './constants';
import {
ONNXTextToLatentsInvocation,
TextToLatentsInvocation,
} from 'services/api/types';
/**
* Builds the Canvas tab's Text to Image graph.
@ -64,23 +64,25 @@ export const buildCanvasTextToImageGraph = (
const modelLoaderNodeType = isUsingOnnxModel
? 'onnx_model_loader'
: 'main_model_loader';
const t2lNode: TextToLatentsInvocation | ONNXTextToLatentsInvocation =
const t2lNode: DenoiseLatentsInvocation | ONNXTextToLatentsInvocation =
isUsingOnnxModel
? {
type: 't2l_onnx',
id: TEXT_TO_LATENTS,
id: DENOISE_LATENTS,
is_intermediate: true,
cfg_scale,
scheduler,
steps,
}
: {
type: 't2l',
id: TEXT_TO_LATENTS,
type: 'denoise_latents',
id: DENOISE_LATENTS,
is_intermediate: true,
cfg_scale,
scheduler,
steps,
denoising_start: 0,
denoising_end: 1,
};
/**
* The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
@ -142,7 +144,7 @@ export const buildCanvasTextToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'negative_conditioning',
},
},
@ -152,7 +154,7 @@ export const buildCanvasTextToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'positive_conditioning',
},
},
@ -192,13 +194,13 @@ export const buildCanvasTextToImageGraph = (
field: 'unet',
},
destination: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'unet',
},
},
{
source: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
destination: {
@ -212,7 +214,7 @@ export const buildCanvasTextToImageGraph = (
field: 'noise',
},
destination: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'noise',
},
},
@ -252,7 +254,7 @@ export const buildCanvasTextToImageGraph = (
});
// add LoRA support
addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, modelLoaderNodeId);
addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
// optionally add custom VAE
addVAEToGraph(state, graph, modelLoaderNodeId);
@ -261,7 +263,7 @@ export const buildCanvasTextToImageGraph = (
addDynamicPromptsToGraph(state, graph);
// add controlnet, mutating `graph`
addControlNetToLinearGraph(state, graph, TEXT_TO_LATENTS);
addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
// NSFW & watermark - must be last thing added to graph
if (state.system.shouldUseNSFWChecker) {

27
invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
View File

@ -14,10 +14,10 @@ import { addVAEToGraph } from './addVAEToGraph';
import { addWatermarkerToGraph } from './addWatermarkerToGraph';
import {
CLIP_SKIP,
DENOISE_LATENTS,
IMAGE_TO_IMAGE_GRAPH,
IMAGE_TO_LATENTS,
LATENTS_TO_IMAGE,
LATENTS_TO_LATENTS,
MAIN_MODEL_LOADER,
METADATA_ACCUMULATOR,
NEGATIVE_CONDITIONING,
@ -118,13 +118,14 @@ export const buildLinearImageToImageGraph = (
id: LATENTS_TO_IMAGE,
fp32: vaePrecision === 'fp32' ? true : false,
},
[LATENTS_TO_LATENTS]: {
type: 'l2l',
id: LATENTS_TO_LATENTS,
[DENOISE_LATENTS]: {
type: 'denoise_latents',
id: DENOISE_LATENTS,
cfg_scale,
scheduler,
steps,
strength,
denoising_start: 1 - strength,
denoising_end: 1,
},
[IMAGE_TO_LATENTS]: {
type: 'i2l',
@ -143,7 +144,7 @@ export const buildLinearImageToImageGraph = (
field: 'unet',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'unet',
},
},
@ -179,7 +180,7 @@ export const buildLinearImageToImageGraph = (
},
{
source: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
destination: {
@ -193,7 +194,7 @@ export const buildLinearImageToImageGraph = (
field: 'latents',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
},
@ -203,7 +204,7 @@ export const buildLinearImageToImageGraph = (
field: 'noise',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'noise',
},
},
@ -213,7 +214,7 @@ export const buildLinearImageToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'negative_conditioning',
},
},
@ -223,7 +224,7 @@ export const buildLinearImageToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'positive_conditioning',
},
},
@ -334,7 +335,7 @@ export const buildLinearImageToImageGraph = (
});
// add LoRA support
addLoRAsToGraph(state, graph, LATENTS_TO_LATENTS);
addLoRAsToGraph(state, graph, DENOISE_LATENTS);
// optionally add custom VAE
addVAEToGraph(state, graph);
@ -343,7 +344,7 @@ export const buildLinearImageToImageGraph = (
addDynamicPromptsToGraph(state, graph);
// add controlnet, mutating `graph`
addControlNetToLinearGraph(state, graph, LATENTS_TO_LATENTS);
addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
// NSFW & watermark - must be last thing added to graph
if (state.system.shouldUseNSFWChecker) {

26
invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
View File

@ -8,9 +8,11 @@ import {
} from 'services/api/types';
import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
import { addWatermarkerToGraph } from './addWatermarkerToGraph';
import {
DENOISE_LATENTS,
IMAGE_TO_LATENTS,
LATENTS_TO_IMAGE,
METADATA_ACCUMULATOR,
@ -19,10 +21,8 @@ import {
POSITIVE_CONDITIONING,
RESIZE,
SDXL_IMAGE_TO_IMAGE_GRAPH,
SDXL_LATENTS_TO_LATENTS,
SDXL_MODEL_LOADER,
} from './constants';
import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
/**
* Builds the Image to Image tab graph.
@ -115,9 +115,9 @@ export const buildLinearSDXLImageToImageGraph = (
id: LATENTS_TO_IMAGE,
fp32: vaePrecision === 'fp32' ? true : false,
},
[SDXL_LATENTS_TO_LATENTS]: {
type: 'l2l_sdxl',
id: SDXL_LATENTS_TO_LATENTS,
[DENOISE_LATENTS]: {
type: 'denoise_latents',
id: DENOISE_LATENTS,
cfg_scale,
scheduler,
steps,
@ -143,7 +143,7 @@ export const buildLinearSDXLImageToImageGraph = (
field: 'unet',
},
destination: {
node_id: SDXL_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'unet',
},
},
@ -209,7 +209,7 @@ export const buildLinearSDXLImageToImageGraph = (
},
{
source: {
node_id: SDXL_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
destination: {
@ -223,7 +223,7 @@ export const buildLinearSDXLImageToImageGraph = (
field: 'latents',
},
destination: {
node_id: SDXL_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
},
@ -233,7 +233,7 @@ export const buildLinearSDXLImageToImageGraph = (
field: 'noise',
},
destination: {
node_id: SDXL_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'noise',
},
},
@ -243,7 +243,7 @@ export const buildLinearSDXLImageToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: SDXL_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'positive_conditioning',
},
},
@ -253,7 +253,7 @@ export const buildLinearSDXLImageToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: SDXL_LATENTS_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'negative_conditioning',
},
},
@ -365,11 +365,11 @@ export const buildLinearSDXLImageToImageGraph = (
},
});
addSDXLLoRAsToGraph(state, graph, SDXL_LATENTS_TO_LATENTS, SDXL_MODEL_LOADER);
addSDXLLoRAsToGraph(state, graph, DENOISE_LATENTS, SDXL_MODEL_LOADER);
// Add Refiner if enabled
if (shouldUseSDXLRefiner) {
addSDXLRefinerToGraph(state, graph, SDXL_LATENTS_TO_LATENTS);
addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
}
// add dynamic prompts - also sets up core iteration and seed

23
invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
View File

@ -8,6 +8,7 @@ import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
import { addWatermarkerToGraph } from './addWatermarkerToGraph';
import {
DENOISE_LATENTS,
LATENTS_TO_IMAGE,
METADATA_ACCUMULATOR,
NEGATIVE_CONDITIONING,
@ -15,7 +16,6 @@ import {
POSITIVE_CONDITIONING,
SDXL_MODEL_LOADER,
SDXL_TEXT_TO_IMAGE_GRAPH,
SDXL_TEXT_TO_LATENTS,
} from './constants';
export const buildLinearSDXLTextToImageGraph = (
@ -95,12 +95,13 @@ export const buildLinearSDXLTextToImageGraph = (
height,
use_cpu,
},
[SDXL_TEXT_TO_LATENTS]: {
type: 't2l_sdxl',
id: SDXL_TEXT_TO_LATENTS,
[DENOISE_LATENTS]: {
type: 'denoise_latents',
id: DENOISE_LATENTS,
cfg_scale,
scheduler,
steps,
denoising_start: 0,
denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
},
[LATENTS_TO_IMAGE]: {
@ -116,7 +117,7 @@ export const buildLinearSDXLTextToImageGraph = (
field: 'unet',
},
destination: {
node_id: SDXL_TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'unet',
},
},
@ -176,7 +177,7 @@ export const buildLinearSDXLTextToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: SDXL_TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'positive_conditioning',
},
},
@ -186,7 +187,7 @@ export const buildLinearSDXLTextToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: SDXL_TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'negative_conditioning',
},
},
@ -196,13 +197,13 @@ export const buildLinearSDXLTextToImageGraph = (
field: 'noise',
},
destination: {
node_id: SDXL_TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'noise',
},
},
{
source: {
node_id: SDXL_TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
destination: {
@ -247,11 +248,11 @@ export const buildLinearSDXLTextToImageGraph = (
},
});
addSDXLLoRAsToGraph(state, graph, SDXL_TEXT_TO_LATENTS, SDXL_MODEL_LOADER);
addSDXLLoRAsToGraph(state, graph, DENOISE_LATENTS, SDXL_MODEL_LOADER);
// Add Refiner if enabled
if (shouldUseSDXLRefiner) {
addSDXLRefinerToGraph(state, graph, SDXL_TEXT_TO_LATENTS);
addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
}
// add dynamic prompts - also sets up core iteration and seed

36
invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
View File

@ -2,6 +2,10 @@ import { logger } from 'app/logging/logger';
import { RootState } from 'app/store/store';
import { NonNullableGraph } from 'features/nodes/types/types';
import { initialGenerationState } from 'features/parameters/store/generationSlice';
import {
DenoiseLatentsInvocation,
ONNXTextToLatentsInvocation,
} from 'services/api/types';
import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
import { addLoRAsToGraph } from './addLoRAsToGraph';
@ -10,20 +14,16 @@ import { addVAEToGraph } from './addVAEToGraph';
import { addWatermarkerToGraph } from './addWatermarkerToGraph';
import {
CLIP_SKIP,
DENOISE_LATENTS,
LATENTS_TO_IMAGE,
MAIN_MODEL_LOADER,
ONNX_MODEL_LOADER,
METADATA_ACCUMULATOR,
NEGATIVE_CONDITIONING,
NOISE,
ONNX_MODEL_LOADER,
POSITIVE_CONDITIONING,
TEXT_TO_IMAGE_GRAPH,
TEXT_TO_LATENTS,
} from './constants';
import {
ONNXTextToLatentsInvocation,
TextToLatentsInvocation,
} from 'services/api/types';
export const buildLinearTextToImageGraph = (
state: RootState
@ -60,23 +60,25 @@ export const buildLinearTextToImageGraph = (
const modelLoaderNodeType = isUsingOnnxModel
? 'onnx_model_loader'
: 'main_model_loader';
const t2lNode: TextToLatentsInvocation | ONNXTextToLatentsInvocation =
const t2lNode: DenoiseLatentsInvocation | ONNXTextToLatentsInvocation =
isUsingOnnxModel
? {
type: 't2l_onnx',
id: TEXT_TO_LATENTS,
id: DENOISE_LATENTS,
is_intermediate: true,
cfg_scale,
scheduler,
steps,
}
: {
type: 't2l',
id: TEXT_TO_LATENTS,
type: 'denoise_latents',
id: DENOISE_LATENTS,
is_intermediate: true,
cfg_scale,
scheduler,
steps,
denoising_start: 0,
denoising_end: 1,
};
/**
* The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
@ -149,7 +151,7 @@ export const buildLinearTextToImageGraph = (
field: 'unet',
},
destination: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'unet',
},
},
@ -179,7 +181,7 @@ export const buildLinearTextToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'positive_conditioning',
},
},
@ -189,13 +191,13 @@ export const buildLinearTextToImageGraph = (
field: 'conditioning',
},
destination: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'negative_conditioning',
},
},
{
source: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'latents',
},
destination: {
@ -209,7 +211,7 @@ export const buildLinearTextToImageGraph = (
field: 'noise',
},
destination: {
node_id: TEXT_TO_LATENTS,
node_id: DENOISE_LATENTS,
field: 'noise',
},
},
@ -249,7 +251,7 @@ export const buildLinearTextToImageGraph = (
});
// add LoRA support
addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, modelLoaderNodeId);
addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
// optionally add custom VAE
addVAEToGraph(state, graph, modelLoaderNodeId);
@ -258,7 +260,7 @@ export const buildLinearTextToImageGraph = (
addDynamicPromptsToGraph(state, graph);
// add controlnet, mutating `graph`
addControlNetToLinearGraph(state, graph, TEXT_TO_LATENTS);
addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
// NSFW & watermark - must be last thing added to graph
if (state.system.shouldUseNSFWChecker) {

2
invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
View File

@ -1,7 +1,7 @@
// friendly node ids
export const POSITIVE_CONDITIONING = 'positive_conditioning';
export const NEGATIVE_CONDITIONING = 'negative_conditioning';
export const TEXT_TO_LATENTS = 'text_to_latents';
export const DENOISE_LATENTS = 'denoise_latents';
export const LATENTS_TO_IMAGE = 'latents_to_image';
export const NSFW_CHECKER = 'nsfw_checker';
export const WATERMARKER = 'invisible_watermark';

2
invokeai/frontend/web/src/features/system/store/configSlice.ts
View File

@ -61,7 +61,7 @@ export const initialConfigState: AppConfig = {
},
img2imgStrength: {
initial: 0.7,
min: 0,
min: 0.01,
sliderMax: 1,
inputMax: 1,
fineStep: 0.01,

816
invokeai/frontend/web/src/services/api/schema.d.ts vendored
View File

@ -179,6 +179,11 @@ export type paths = {
* @description Gets a full-resolution image file
*/
get: operations["get_image_full"];
/**
* Get Image Full
* @description Gets a full-resolution image file
*/
head: operations["get_image_full"];
};
"/api/v1/images/i/{image_name}/thumbnail": {
/**
@ -707,6 +712,51 @@ export type components = {
*/
collection: (unknown)[];
};
/**
* ColorCorrectInvocation
* @description Shifts the colors of a target image to match the reference image, optionally
* using a mask to only color-correct certain regions of the target image.
*/
ColorCorrectInvocation: {
/**
* 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 color_correct
* @enum {string}
*/
type?: "color_correct";
/**
* Image
* @description The image to color-correct
*/
image?: components["schemas"]["ImageField"];
/**
* Reference
* @description Reference image for color-correction
*/
reference?: components["schemas"]["ImageField"];
/**
* Mask
* @description Mask to use when applying color-correction
*/
mask?: components["schemas"]["ImageField"];
/**
* Mask Blur Radius
* @description Mask blur radius
* @default 8
*/
mask_blur_radius?: number;
};
/** ColorField */
ColorField: {
/**
@ -1037,6 +1087,12 @@ export type components = {
* @description Core generation metadata for an image generated in InvokeAI.
*/
CoreMetadata: {
/**
* App Version
* @description The version of InvokeAI used to generate this image
* @default 3.0.2
*/
app_version?: string;
/**
* Generation Mode
* @description The generation mode that output this image
@ -1219,6 +1275,93 @@ export type components = {
/** Deleted Images */
deleted_images: (string)[];
};
/**
* DenoiseLatentsInvocation
* @description Denoises noisy latents to decodable images
*/
DenoiseLatentsInvocation: {
/**
* 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 denoise_latents
* @enum {string}
*/
type?: "denoise_latents";
/**
* 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)[];
/**
* Denoising Start
* @default 0
*/
denoising_start?: number;
/**
* Denoising End
* @default 1
*/
denoising_end?: 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"];
/**
* Mask
* @description Mask
*/
mask?: components["schemas"]["ImageField"];
};
/**
* DivideInvocation
* @description Divides two numbers
@ -1443,7 +1586,7 @@ export type components = {
* @description The nodes in this graph
*/
nodes?: {
[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;
[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;
};
/**
* Edges
@ -1486,7 +1629,7 @@ export type components = {
* @description The results of node executions
*/
results: {
[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;
[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;
};
/**
* Errors
@ -2593,171 +2736,6 @@ export type components = {
*/
seed?: number;
};
/**
* InpaintInvocation
* @description Generates an image using inpaint.
*/
InpaintInvocation: {
/**
* 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 inpaint
* @enum {string}
*/
type?: "inpaint";
/**
* Positive Conditioning
* @description Positive conditioning for generation
*/
positive_conditioning?: components["schemas"]["ConditioningField"];
/**
* Negative Conditioning
* @description Negative conditioning for generation
*/
negative_conditioning?: components["schemas"]["ConditioningField"];
/**
* Seed
* @description The seed to use (omit for random)
*/
seed?: number;
/**
* Steps
* @description The number of steps to use to generate the image
* @default 30
*/
steps?: number;
/**
* Width
* @description The width of the resulting image
* @default 512
*/
width?: number;
/**
* Height
* @description The height of the resulting image
* @default 512
*/
height?: 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;
/**
* 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 model
*/
unet?: components["schemas"]["UNetField"];
/**
* Vae
* @description Vae model
*/
vae?: components["schemas"]["VaeField"];
/**
* Image
* @description The input image
*/
image?: components["schemas"]["ImageField"];
/**
* Strength
* @description The strength of the original image
* @default 0.75
*/
strength?: number;
/**
* Fit
* @description Whether or not the result should be fit to the aspect ratio of the input image
* @default true
*/
fit?: boolean;
/**
* Mask
* @description The mask
*/
mask?: components["schemas"]["ImageField"];
/**
* Seam Size
* @description The seam inpaint size (px)
* @default 96
*/
seam_size?: number;
/**
* Seam Blur
* @description The seam inpaint blur radius (px)
* @default 16
*/
seam_blur?: number;
/**
* Seam Strength
* @description The seam inpaint strength
* @default 0.75
*/
seam_strength?: number;
/**
* Seam Steps
* @description The number of steps to use for seam inpaint
* @default 30
*/
seam_steps?: number;
/**
* Tile Size
* @description The tile infill method size (px)
* @default 32
*/
tile_size?: number;
/**
* Infill Method
* @description The method used to infill empty regions (px)
* @default patchmatch
* @enum {string}
*/
infill_method?: "patchmatch" | "tile" | "solid";
/**
* 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: {

10
invokeai/frontend/web/src/services/api/types.ts
View File

@ -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']