mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Merge branch 'main' into refactor/cleanup-root-detection
This commit is contained in:
psychedelicious
GitHub
commit
7292d89108
4
.github/workflows/lint-frontend.yml
vendored
4
.github/workflows/lint-frontend.yml
vendored
@ -2,8 +2,6 @@ name: Lint frontend
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
paths:
|
||||
- 'invokeai/frontend/web/**'
|
||||
types:
|
||||
- 'ready_for_review'
|
||||
- 'opened'
|
||||
@ -11,8 +9,6 @@ on:
|
||||
push:
|
||||
branches:
|
||||
- 'main'
|
||||
paths:
|
||||
- 'invokeai/frontend/web/**'
|
||||
merge_group:
|
||||
workflow_dispatch:
|
||||
|
||||
|
||||
@ -1,6 +1,4 @@
|
||||
#!/usr/bin/env sh
|
||||
. "$(dirname -- "$0")/_/husky.sh"
|
||||
|
||||
python -m black . --check
|
||||
|
||||
cd invokeai/frontend/web/ && npm run lint-staged
|
||||
|
||||
@ -6,7 +6,7 @@ import {
|
||||
modelChanged,
|
||||
vaeSelected,
|
||||
} from 'features/parameters/store/generationSlice';
|
||||
import { zMainModel } from 'features/parameters/types/parameterSchemas';
|
||||
import { zMainOrOnnxModel } from 'features/parameters/types/parameterSchemas';
|
||||
import { addToast } from 'features/system/store/systemSlice';
|
||||
import { makeToast } from 'features/system/util/makeToast';
|
||||
import { forEach } from 'lodash-es';
|
||||
@ -19,7 +19,7 @@ export const addModelSelectedListener = () => {
|
||||
const log = logger('models');
|
||||
|
||||
const state = getState();
|
||||
const result = zMainModel.safeParse(action.payload);
|
||||
const result = zMainOrOnnxModel.safeParse(action.payload);
|
||||
|
||||
if (!result.success) {
|
||||
log.error(
|
||||
|
||||
@ -6,7 +6,8 @@ import {
|
||||
vaeSelected,
|
||||
} from 'features/parameters/store/generationSlice';
|
||||
import {
|
||||
zMainModel,
|
||||
zMainOrOnnxModel,
|
||||
zSDXLRefinerModel,
|
||||
zVaeModel,
|
||||
} from 'features/parameters/types/parameterSchemas';
|
||||
import {
|
||||
@ -53,7 +54,7 @@ export const addModelsLoadedListener = () => {
|
||||
return;
|
||||
}
|
||||
|
||||
const result = zMainModel.safeParse(firstModel);
|
||||
const result = zMainOrOnnxModel.safeParse(firstModel);
|
||||
|
||||
if (!result.success) {
|
||||
log.error(
|
||||
@ -102,7 +103,7 @@ export const addModelsLoadedListener = () => {
|
||||
return;
|
||||
}
|
||||
|
||||
const result = zMainModel.safeParse(firstModel);
|
||||
const result = zSDXLRefinerModel.safeParse(firstModel);
|
||||
|
||||
if (!result.success) {
|
||||
log.error(
|
||||
|
||||
@ -19,7 +19,7 @@ export const addLoRAsToGraph = (
|
||||
state: RootState,
|
||||
graph: NonNullableGraph,
|
||||
baseNodeId: string,
|
||||
modelLoader: string = MAIN_MODEL_LOADER
|
||||
modelLoaderNodeId: string = MAIN_MODEL_LOADER
|
||||
): void => {
|
||||
/**
|
||||
* LoRA nodes get the UNet and CLIP models from the main model loader and apply the LoRA to them.
|
||||
@ -85,7 +85,7 @@ export const addLoRAsToGraph = (
|
||||
// first lora = start the lora chain, attach directly to model loader
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: modelLoader,
|
||||
node_id: modelLoaderNodeId,
|
||||
field: 'unet',
|
||||
},
|
||||
destination: {
|
||||
|
||||
@ -17,7 +17,7 @@ import {
|
||||
export const addVAEToGraph = (
|
||||
state: RootState,
|
||||
graph: NonNullableGraph,
|
||||
modelLoader: string = MAIN_MODEL_LOADER
|
||||
modelLoaderNodeId: string = MAIN_MODEL_LOADER
|
||||
): void => {
|
||||
const { vae } = state.generation;
|
||||
|
||||
@ -34,11 +34,11 @@ export const addVAEToGraph = (
|
||||
vae_model: vae,
|
||||
};
|
||||
}
|
||||
const isOnnxModel = modelLoader == ONNX_MODEL_LOADER;
|
||||
const isOnnxModel = modelLoaderNodeId == ONNX_MODEL_LOADER;
|
||||
if (graph.id === TEXT_TO_IMAGE_GRAPH || graph.id === IMAGE_TO_IMAGE_GRAPH) {
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: isAutoVae ? modelLoader : VAE_LOADER,
|
||||
node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
|
||||
field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
|
||||
},
|
||||
destination: {
|
||||
@ -51,7 +51,7 @@ export const addVAEToGraph = (
|
||||
if (graph.id === IMAGE_TO_IMAGE_GRAPH) {
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: isAutoVae ? modelLoader : VAE_LOADER,
|
||||
node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
|
||||
field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
|
||||
},
|
||||
destination: {
|
||||
@ -64,7 +64,7 @@ export const addVAEToGraph = (
|
||||
if (graph.id === INPAINT_GRAPH) {
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: isAutoVae ? modelLoader : VAE_LOADER,
|
||||
node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
|
||||
field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
|
||||
},
|
||||
destination: {
|
||||
|
||||
@ -20,6 +20,10 @@ import {
|
||||
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.
|
||||
@ -53,8 +57,31 @@ export const buildCanvasTextToImageGraph = (
|
||||
const use_cpu = shouldUseNoiseSettings
|
||||
? shouldUseCpuNoise
|
||||
: initialGenerationState.shouldUseCpuNoise;
|
||||
const onnx_model_type = model.model_type.includes('onnx');
|
||||
const model_loader = onnx_model_type ? ONNX_MODEL_LOADER : MAIN_MODEL_LOADER;
|
||||
const isUsingOnnxModel = model.model_type === 'onnx';
|
||||
const modelLoaderNodeId = isUsingOnnxModel
|
||||
? ONNX_MODEL_LOADER
|
||||
: MAIN_MODEL_LOADER;
|
||||
const modelLoaderNodeType = isUsingOnnxModel
|
||||
? 'onnx_model_loader'
|
||||
: 'main_model_loader';
|
||||
const t2lNode: TextToLatentsInvocation | ONNXTextToLatentsInvocation =
|
||||
isUsingOnnxModel
|
||||
? {
|
||||
type: 't2l_onnx',
|
||||
id: TEXT_TO_LATENTS,
|
||||
is_intermediate: true,
|
||||
cfg_scale,
|
||||
scheduler,
|
||||
steps,
|
||||
}
|
||||
: {
|
||||
type: 't2l',
|
||||
id: TEXT_TO_LATENTS,
|
||||
is_intermediate: true,
|
||||
cfg_scale,
|
||||
scheduler,
|
||||
steps,
|
||||
};
|
||||
/**
|
||||
* The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
|
||||
* full graph here as a template. Then use the parameters from app state and set friendlier node
|
||||
@ -70,13 +97,13 @@ export const buildCanvasTextToImageGraph = (
|
||||
id: TEXT_TO_IMAGE_GRAPH,
|
||||
nodes: {
|
||||
[POSITIVE_CONDITIONING]: {
|
||||
type: onnx_model_type ? 'prompt_onnx' : 'compel',
|
||||
type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
|
||||
id: POSITIVE_CONDITIONING,
|
||||
is_intermediate: true,
|
||||
prompt: positivePrompt,
|
||||
},
|
||||
[NEGATIVE_CONDITIONING]: {
|
||||
type: onnx_model_type ? 'prompt_onnx' : 'compel',
|
||||
type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
|
||||
id: NEGATIVE_CONDITIONING,
|
||||
is_intermediate: true,
|
||||
prompt: negativePrompt,
|
||||
@ -89,17 +116,10 @@ export const buildCanvasTextToImageGraph = (
|
||||
height,
|
||||
use_cpu,
|
||||
},
|
||||
[TEXT_TO_LATENTS]: {
|
||||
type: onnx_model_type ? 't2l_onnx' : 't2l',
|
||||
id: TEXT_TO_LATENTS,
|
||||
is_intermediate: true,
|
||||
cfg_scale,
|
||||
scheduler,
|
||||
steps,
|
||||
},
|
||||
[model_loader]: {
|
||||
type: model_loader,
|
||||
id: model_loader,
|
||||
[t2lNode.id]: t2lNode,
|
||||
[modelLoaderNodeId]: {
|
||||
type: modelLoaderNodeType,
|
||||
id: modelLoaderNodeId,
|
||||
is_intermediate: true,
|
||||
model,
|
||||
},
|
||||
@ -110,7 +130,7 @@ export const buildCanvasTextToImageGraph = (
|
||||
skipped_layers: clipSkip,
|
||||
},
|
||||
[LATENTS_TO_IMAGE]: {
|
||||
type: onnx_model_type ? 'l2i_onnx' : 'l2i',
|
||||
type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
|
||||
id: LATENTS_TO_IMAGE,
|
||||
is_intermediate: !shouldAutoSave,
|
||||
},
|
||||
@ -138,7 +158,7 @@ export const buildCanvasTextToImageGraph = (
|
||||
},
|
||||
{
|
||||
source: {
|
||||
node_id: model_loader,
|
||||
node_id: modelLoaderNodeId,
|
||||
field: 'clip',
|
||||
},
|
||||
destination: {
|
||||
@ -168,7 +188,7 @@ export const buildCanvasTextToImageGraph = (
|
||||
},
|
||||
{
|
||||
source: {
|
||||
node_id: model_loader,
|
||||
node_id: modelLoaderNodeId,
|
||||
field: 'unet',
|
||||
},
|
||||
destination: {
|
||||
@ -232,10 +252,10 @@ export const buildCanvasTextToImageGraph = (
|
||||
});
|
||||
|
||||
// add LoRA support
|
||||
addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, model_loader);
|
||||
addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, modelLoaderNodeId);
|
||||
|
||||
// optionally add custom VAE
|
||||
addVAEToGraph(state, graph, model_loader);
|
||||
addVAEToGraph(state, graph, modelLoaderNodeId);
|
||||
|
||||
// add dynamic prompts - also sets up core iteration and seed
|
||||
addDynamicPromptsToGraph(state, graph);
|
||||
|
||||
@ -20,6 +20,10 @@ import {
|
||||
TEXT_TO_IMAGE_GRAPH,
|
||||
TEXT_TO_LATENTS,
|
||||
} from './constants';
|
||||
import {
|
||||
ONNXTextToLatentsInvocation,
|
||||
TextToLatentsInvocation,
|
||||
} from 'services/api/types';
|
||||
|
||||
export const buildLinearTextToImageGraph = (
|
||||
state: RootState
|
||||
@ -49,8 +53,31 @@ export const buildLinearTextToImageGraph = (
|
||||
throw new Error('No model found in state');
|
||||
}
|
||||
|
||||
const onnx_model_type = model.model_type.includes('onnx');
|
||||
const model_loader = onnx_model_type ? ONNX_MODEL_LOADER : MAIN_MODEL_LOADER;
|
||||
const isUsingOnnxModel = model.model_type === 'onnx';
|
||||
const modelLoaderNodeId = isUsingOnnxModel
|
||||
? ONNX_MODEL_LOADER
|
||||
: MAIN_MODEL_LOADER;
|
||||
const modelLoaderNodeType = isUsingOnnxModel
|
||||
? 'onnx_model_loader'
|
||||
: 'main_model_loader';
|
||||
const t2lNode: TextToLatentsInvocation | ONNXTextToLatentsInvocation =
|
||||
isUsingOnnxModel
|
||||
? {
|
||||
type: 't2l_onnx',
|
||||
id: TEXT_TO_LATENTS,
|
||||
is_intermediate: true,
|
||||
cfg_scale,
|
||||
scheduler,
|
||||
steps,
|
||||
}
|
||||
: {
|
||||
type: 't2l',
|
||||
id: TEXT_TO_LATENTS,
|
||||
is_intermediate: true,
|
||||
cfg_scale,
|
||||
scheduler,
|
||||
steps,
|
||||
};
|
||||
/**
|
||||
* The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
|
||||
* full graph here as a template. Then use the parameters from app state and set friendlier node
|
||||
@ -66,25 +93,17 @@ export const buildLinearTextToImageGraph = (
|
||||
const graph: NonNullableGraph = {
|
||||
id: TEXT_TO_IMAGE_GRAPH,
|
||||
nodes: {
|
||||
[model_loader]: {
|
||||
type: model_loader,
|
||||
id: model_loader,
|
||||
model,
|
||||
},
|
||||
[CLIP_SKIP]: {
|
||||
type: 'clip_skip',
|
||||
id: CLIP_SKIP,
|
||||
skipped_layers: clipSkip,
|
||||
},
|
||||
[POSITIVE_CONDITIONING]: {
|
||||
type: onnx_model_type ? 'prompt_onnx' : 'compel',
|
||||
type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
|
||||
id: POSITIVE_CONDITIONING,
|
||||
prompt: positivePrompt,
|
||||
is_intermediate: true,
|
||||
},
|
||||
[NEGATIVE_CONDITIONING]: {
|
||||
type: onnx_model_type ? 'prompt_onnx' : 'compel',
|
||||
type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
|
||||
id: NEGATIVE_CONDITIONING,
|
||||
prompt: negativePrompt,
|
||||
is_intermediate: true,
|
||||
},
|
||||
[NOISE]: {
|
||||
type: 'noise',
|
||||
@ -92,16 +111,23 @@ export const buildLinearTextToImageGraph = (
|
||||
width,
|
||||
height,
|
||||
use_cpu,
|
||||
is_intermediate: true,
|
||||
},
|
||||
[TEXT_TO_LATENTS]: {
|
||||
type: onnx_model_type ? 't2l_onnx' : 't2l',
|
||||
id: TEXT_TO_LATENTS,
|
||||
cfg_scale,
|
||||
scheduler,
|
||||
steps,
|
||||
[t2lNode.id]: t2lNode,
|
||||
[modelLoaderNodeId]: {
|
||||
type: modelLoaderNodeType,
|
||||
id: modelLoaderNodeId,
|
||||
is_intermediate: true,
|
||||
model,
|
||||
},
|
||||
[CLIP_SKIP]: {
|
||||
type: 'clip_skip',
|
||||
id: CLIP_SKIP,
|
||||
skipped_layers: clipSkip,
|
||||
is_intermediate: true,
|
||||
},
|
||||
[LATENTS_TO_IMAGE]: {
|
||||
type: onnx_model_type ? 'l2i_onnx' : 'l2i',
|
||||
type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
|
||||
id: LATENTS_TO_IMAGE,
|
||||
fp32: vaePrecision === 'fp32' ? true : false,
|
||||
},
|
||||
@ -109,7 +135,7 @@ export const buildLinearTextToImageGraph = (
|
||||
edges: [
|
||||
{
|
||||
source: {
|
||||
node_id: model_loader,
|
||||
node_id: modelLoaderNodeId,
|
||||
field: 'clip',
|
||||
},
|
||||
destination: {
|
||||
@ -119,7 +145,7 @@ export const buildLinearTextToImageGraph = (
|
||||
},
|
||||
{
|
||||
source: {
|
||||
node_id: model_loader,
|
||||
node_id: modelLoaderNodeId,
|
||||
field: 'unet',
|
||||
},
|
||||
destination: {
|
||||
@ -223,10 +249,10 @@ export const buildLinearTextToImageGraph = (
|
||||
});
|
||||
|
||||
// add LoRA support
|
||||
addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, model_loader);
|
||||
addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, modelLoaderNodeId);
|
||||
|
||||
// optionally add custom VAE
|
||||
addVAEToGraph(state, graph, model_loader);
|
||||
addVAEToGraph(state, graph, modelLoaderNodeId);
|
||||
|
||||
// add dynamic prompts - also sets up core iteration and seed
|
||||
addDynamicPromptsToGraph(state, graph);
|
||||
|
||||
@ -35,6 +35,7 @@ import {
|
||||
isValidSDXLNegativeStylePrompt,
|
||||
isValidSDXLPositiveStylePrompt,
|
||||
isValidSDXLRefinerAestheticScore,
|
||||
isValidSDXLRefinerModel,
|
||||
isValidSDXLRefinerStart,
|
||||
isValidScheduler,
|
||||
isValidSeed,
|
||||
@ -381,7 +382,7 @@ export const useRecallParameters = () => {
|
||||
dispatch(setNegativeStylePromptSDXL(negative_style_prompt));
|
||||
}
|
||||
|
||||
if (isValidMainModel(refiner_model)) {
|
||||
if (isValidSDXLRefinerModel(refiner_model)) {
|
||||
dispatch(refinerModelChanged(refiner_model));
|
||||
}
|
||||
|
||||
|
||||
@ -3,13 +3,14 @@ import { createSlice } from '@reduxjs/toolkit';
|
||||
import { roundToMultiple } from 'common/util/roundDownToMultiple';
|
||||
import { configChanged } from 'features/system/store/configSlice';
|
||||
import { clamp } from 'lodash-es';
|
||||
import { ImageDTO, MainModelField, OnnxModelField } from 'services/api/types';
|
||||
import { ImageDTO } from 'services/api/types';
|
||||
import { clipSkipMap } from '../types/constants';
|
||||
import {
|
||||
CfgScaleParam,
|
||||
HeightParam,
|
||||
MainModelParam,
|
||||
NegativePromptParam,
|
||||
OnnxModelParam,
|
||||
PositivePromptParam,
|
||||
PrecisionParam,
|
||||
SchedulerParam,
|
||||
@ -50,7 +51,7 @@ export interface GenerationState {
|
||||
shouldUseSymmetry: boolean;
|
||||
horizontalSymmetrySteps: number;
|
||||
verticalSymmetrySteps: number;
|
||||
model: MainModelField | OnnxModelField | null;
|
||||
model: MainModelParam | OnnxModelParam | null;
|
||||
vae: VaeModelParam | null;
|
||||
vaePrecision: PrecisionParam;
|
||||
seamlessXAxis: boolean;
|
||||
@ -229,7 +230,10 @@ export const generationSlice = createSlice({
|
||||
const { image_name, width, height } = action.payload;
|
||||
state.initialImage = { imageName: image_name, width, height };
|
||||
},
|
||||
modelChanged: (state, action: PayloadAction<MainModelParam | null>) => {
|
||||
modelChanged: (
|
||||
state,
|
||||
action: PayloadAction<MainModelParam | OnnxModelParam | null>
|
||||
) => {
|
||||
state.model = action.payload;
|
||||
|
||||
if (state.model === null) {
|
||||
|
||||
@ -210,42 +210,70 @@ export type HeightParam = z.infer<typeof zHeight>;
|
||||
export const isValidHeight = (val: unknown): val is HeightParam =>
|
||||
zHeight.safeParse(val).success;
|
||||
|
||||
const zModelType = z.enum([
|
||||
'vae',
|
||||
'lora',
|
||||
'onnx',
|
||||
'main',
|
||||
'controlnet',
|
||||
'embedding',
|
||||
]);
|
||||
const zBaseModel = z.enum(['sd-1', 'sd-2', 'sdxl', 'sdxl-refiner']);
|
||||
|
||||
export type BaseModelParam = z.infer<typeof zBaseModel>;
|
||||
|
||||
/**
|
||||
* Zod schema for model parameter
|
||||
* Zod schema for main model parameter
|
||||
* TODO: Make this a dynamically generated enum?
|
||||
*/
|
||||
export const zMainModel = z.object({
|
||||
model_name: z.string().min(1),
|
||||
base_model: zBaseModel,
|
||||
model_type: zModelType,
|
||||
model_type: z.literal('main'),
|
||||
});
|
||||
|
||||
/**
|
||||
* Type alias for model parameter, inferred from its zod schema
|
||||
* Type alias for main model parameter, inferred from its zod schema
|
||||
*/
|
||||
export type MainModelParam = z.infer<typeof zMainModel>;
|
||||
|
||||
/**
|
||||
* Type alias for model parameter, inferred from its zod schema
|
||||
*/
|
||||
export type OnnxModelParam = z.infer<typeof zMainModel>;
|
||||
/**
|
||||
* Validates/type-guards a value as a model parameter
|
||||
* Validates/type-guards a value as a main model parameter
|
||||
*/
|
||||
export const isValidMainModel = (val: unknown): val is MainModelParam =>
|
||||
zMainModel.safeParse(val).success;
|
||||
|
||||
/**
|
||||
* Zod schema for SDXL refiner model parameter
|
||||
* TODO: Make this a dynamically generated enum?
|
||||
*/
|
||||
export const zSDXLRefinerModel = z.object({
|
||||
model_name: z.string().min(1),
|
||||
base_model: z.literal('sdxl-refiner'),
|
||||
model_type: z.literal('main'),
|
||||
});
|
||||
/**
|
||||
* Type alias for SDXL refiner model parameter, inferred from its zod schema
|
||||
*/
|
||||
export type SDXLRefinerModelParam = z.infer<typeof zSDXLRefinerModel>;
|
||||
/**
|
||||
* Validates/type-guards a value as a SDXL refiner model parameter
|
||||
*/
|
||||
export const isValidSDXLRefinerModel = (
|
||||
val: unknown
|
||||
): val is SDXLRefinerModelParam => zSDXLRefinerModel.safeParse(val).success;
|
||||
|
||||
/**
|
||||
* Zod schema for Onnx model parameter
|
||||
* TODO: Make this a dynamically generated enum?
|
||||
*/
|
||||
export const zOnnxModel = z.object({
|
||||
model_name: z.string().min(1),
|
||||
base_model: zBaseModel,
|
||||
model_type: z.literal('onnx'),
|
||||
});
|
||||
/**
|
||||
* Type alias for Onnx model parameter, inferred from its zod schema
|
||||
*/
|
||||
export type OnnxModelParam = z.infer<typeof zOnnxModel>;
|
||||
/**
|
||||
* Validates/type-guards a value as a Onnx model parameter
|
||||
*/
|
||||
export const isValidOnnxModel = (val: unknown): val is OnnxModelParam =>
|
||||
zOnnxModel.safeParse(val).success;
|
||||
|
||||
export const zMainOrOnnxModel = z.union([zMainModel, zOnnxModel]);
|
||||
|
||||
/**
|
||||
* Zod schema for VAE parameter
|
||||
*/
|
||||
|
||||
@ -1,16 +1,17 @@
|
||||
import { logger } from 'app/logging/logger';
|
||||
import {
|
||||
MainModelParam,
|
||||
zMainModel,
|
||||
OnnxModelParam,
|
||||
zMainOrOnnxModel,
|
||||
} from 'features/parameters/types/parameterSchemas';
|
||||
|
||||
export const modelIdToMainModelParam = (
|
||||
mainModelId: string
|
||||
): MainModelParam | undefined => {
|
||||
): OnnxModelParam | MainModelParam | undefined => {
|
||||
const log = logger('models');
|
||||
const [base_model, model_type, model_name] = mainModelId.split('/');
|
||||
|
||||
const result = zMainModel.safeParse({
|
||||
const result = zMainOrOnnxModel.safeParse({
|
||||
base_model,
|
||||
model_name,
|
||||
model_type,
|
||||
|
||||
@ -0,0 +1,31 @@
|
||||
import { logger } from 'app/logging/logger';
|
||||
import {
|
||||
SDXLRefinerModelParam,
|
||||
zSDXLRefinerModel,
|
||||
} from 'features/parameters/types/parameterSchemas';
|
||||
|
||||
export const modelIdToSDXLRefinerModelParam = (
|
||||
mainModelId: string
|
||||
): SDXLRefinerModelParam | undefined => {
|
||||
const log = logger('models');
|
||||
const [base_model, model_type, model_name] = mainModelId.split('/');
|
||||
|
||||
const result = zSDXLRefinerModel.safeParse({
|
||||
base_model,
|
||||
model_name,
|
||||
model_type,
|
||||
});
|
||||
|
||||
if (!result.success) {
|
||||
log.error(
|
||||
{
|
||||
mainModelId,
|
||||
errors: result.error.format(),
|
||||
},
|
||||
'Failed to parse main model id'
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
return result.data;
|
||||
};
|
||||
@ -6,7 +6,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
|
||||
import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
|
||||
import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
|
||||
import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
|
||||
import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
|
||||
import { modelIdToSDXLRefinerModelParam } from 'features/parameters/util/modelIdToSDXLRefinerModelParam';
|
||||
import { refinerModelChanged } from 'features/sdxl/store/sdxlSlice';
|
||||
import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
|
||||
import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
|
||||
@ -68,7 +68,7 @@ const ParamSDXLRefinerModelSelect = () => {
|
||||
return;
|
||||
}
|
||||
|
||||
const newModel = modelIdToMainModelParam(v);
|
||||
const newModel = modelIdToSDXLRefinerModelParam(v);
|
||||
|
||||
if (!newModel) {
|
||||
return;
|
||||
|
||||
@ -1,11 +1,10 @@
|
||||
import { PayloadAction, createSlice } from '@reduxjs/toolkit';
|
||||
import {
|
||||
MainModelParam,
|
||||
NegativeStylePromptSDXLParam,
|
||||
PositiveStylePromptSDXLParam,
|
||||
SDXLRefinerModelParam,
|
||||
SchedulerParam,
|
||||
} from 'features/parameters/types/parameterSchemas';
|
||||
import { MainModelField } from 'services/api/types';
|
||||
|
||||
type SDXLInitialState = {
|
||||
positiveStylePrompt: PositiveStylePromptSDXLParam;
|
||||
@ -13,7 +12,7 @@ type SDXLInitialState = {
|
||||
shouldConcatSDXLStylePrompt: boolean;
|
||||
shouldUseSDXLRefiner: boolean;
|
||||
sdxlImg2ImgDenoisingStrength: number;
|
||||
refinerModel: MainModelField | null;
|
||||
refinerModel: SDXLRefinerModelParam | null;
|
||||
refinerSteps: number;
|
||||
refinerCFGScale: number;
|
||||
refinerScheduler: SchedulerParam;
|
||||
@ -56,7 +55,7 @@ const sdxlSlice = createSlice({
|
||||
},
|
||||
refinerModelChanged: (
|
||||
state,
|
||||
action: PayloadAction<MainModelParam | null>
|
||||
action: PayloadAction<SDXLRefinerModelParam | null>
|
||||
) => {
|
||||
state.refinerModel = action.payload;
|
||||
},
|
||||
|
||||
@ -97,6 +97,13 @@ const ModelList = (props: ModelListProps) => {
|
||||
>
|
||||
{t('modelManager.diffusersModels')}
|
||||
</IAIButton>
|
||||
<IAIButton
|
||||
size="sm"
|
||||
onClick={() => setModelFormatFilter('checkpoint')}
|
||||
isChecked={modelFormatFilter === 'checkpoint'}
|
||||
>
|
||||
{t('modelManager.checkpointModels')}
|
||||
</IAIButton>
|
||||
<IAIButton
|
||||
size="sm"
|
||||
onClick={() => setModelFormatFilter('onnx')}
|
||||
|
||||
@ -15,10 +15,11 @@ import {
|
||||
LoRAModelConfigEntity,
|
||||
useDeleteMainModelsMutation,
|
||||
useDeleteLoRAModelsMutation,
|
||||
OnnxModelConfigEntity,
|
||||
} from 'services/api/endpoints/models';
|
||||
|
||||
type ModelListItemProps = {
|
||||
model: MainModelConfigEntity | LoRAModelConfigEntity;
|
||||
model: MainModelConfigEntity | OnnxModelConfigEntity | LoRAModelConfigEntity;
|
||||
isSelected: boolean;
|
||||
setSelectedModelId: (v: string | undefined) => void;
|
||||
};
|
||||
@ -37,9 +38,12 @@ export default function ModelListItem(props: ModelListItemProps) {
|
||||
}, [model.id, setSelectedModelId]);
|
||||
|
||||
const handleModelDelete = useCallback(() => {
|
||||
const method = { main: deleteMainModel, lora: deleteLoRAModel }[
|
||||
model.model_type
|
||||
];
|
||||
const method = {
|
||||
main: deleteMainModel,
|
||||
lora: deleteLoRAModel,
|
||||
onnx: deleteMainModel,
|
||||
}[model.model_type];
|
||||
|
||||
method(model)
|
||||
.unwrap()
|
||||
.then((_) => {
|
||||
|
||||
@ -1381,7 +1381,7 @@ 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"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | 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"]["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"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["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"]["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;
|
||||
};
|
||||
/**
|
||||
* Edges
|
||||
@ -1424,7 +1424,7 @@ 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"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | 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"]["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;
|
||||
};
|
||||
/**
|
||||
* Errors
|
||||
@ -2562,10 +2562,10 @@ export type components = {
|
||||
/**
|
||||
* Infill Method
|
||||
* @description The method used to infill empty regions (px)
|
||||
* @default tile
|
||||
* @default patchmatch
|
||||
* @enum {string}
|
||||
*/
|
||||
infill_method?: "tile" | "solid";
|
||||
infill_method?: "patchmatch" | "tile" | "solid";
|
||||
/**
|
||||
* Inpaint Width
|
||||
* @description The width of the inpaint region (px)
|
||||
@ -5892,11 +5892,11 @@ export type components = {
|
||||
image?: components["schemas"]["ImageField"];
|
||||
};
|
||||
/**
|
||||
* StableDiffusionOnnxModelFormat
|
||||
* ControlNetModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusionOnnxModelFormat: "olive" | "onnx";
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusionXLModelFormat
|
||||
* @description An enumeration.
|
||||
@ -5904,11 +5904,11 @@ export type components = {
|
||||
*/
|
||||
StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* ControlNetModelFormat
|
||||
* StableDiffusionOnnxModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
StableDiffusionOnnxModelFormat: "olive" | "onnx";
|
||||
/**
|
||||
* StableDiffusion2ModelFormat
|
||||
* @description An enumeration.
|
||||
@ -6031,7 +6031,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | 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"]["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"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["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"]["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"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -6068,7 +6068,7 @@ export type operations = {
|
||||
};
|
||||
requestBody: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | 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"]["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"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | 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"]["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"]["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"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
|
||||
@ -59,9 +59,9 @@ export type DiffusersModelConfig =
|
||||
export type CheckpointModelConfig =
|
||||
| components['schemas']['StableDiffusion1ModelCheckpointConfig']
|
||||
| components['schemas']['StableDiffusion2ModelCheckpointConfig']
|
||||
| components['schemas']['StableDiffusion2ModelDiffusersConfig'];
|
||||
export type OnnxModelConfig = components['schemas']['ONNXStableDiffusion1ModelConfig']
|
||||
| components['schemas']['StableDiffusionXLModelCheckpointConfig'];
|
||||
export type OnnxModelConfig =
|
||||
components['schemas']['ONNXStableDiffusion1ModelConfig'];
|
||||
export type MainModelConfig = DiffusersModelConfig | CheckpointModelConfig;
|
||||
export type AnyModelConfig =
|
||||
| LoRAModelConfig
|
||||
@ -116,6 +116,9 @@ 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']
|
||||
>;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user