mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Merge branch 'main' into feat/image_http_head
This commit is contained in:
Kevin Turner
GitHub
commit
8b8ec68b30
invokeai/frontend/web/src
app/types
features
gallery/hooks
lora/components
nodes/util/graphBuilders
addLoRAsToGraph.tsaddSDXLLoRAstoGraph.tsbuildLinearSDXLImageToImageGraph.tsbuildLinearSDXLTextToImageGraph.ts
sdxl/components
services/api
@ -96,7 +96,8 @@ export type AppFeature =
|
||||
| 'consoleLogging'
|
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| 'dynamicPrompting'
|
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| 'batches'
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| 'syncModels';
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| 'syncModels'
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| 'multiselect';
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|
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/**
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* A disable-able Stable Diffusion feature
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|
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@ -9,6 +9,7 @@ import { useListImagesQuery } from 'services/api/endpoints/images';
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import { ImageDTO } from 'services/api/types';
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import { selectionChanged } from '../store/gallerySlice';
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import { imagesSelectors } from 'services/api/util';
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import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
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|
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const selector = createSelector(
|
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[stateSelector, selectListImagesBaseQueryArgs],
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@ -33,11 +34,18 @@ export const useMultiselect = (imageDTO?: ImageDTO) => {
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}),
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});
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|
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const isMultiSelectEnabled = useFeatureStatus('multiselect').isFeatureEnabled;
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|
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const handleClick = useCallback(
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(e: MouseEvent<HTMLDivElement>) => {
|
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if (!imageDTO) {
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return;
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}
|
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if (!isMultiSelectEnabled) {
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dispatch(selectionChanged([imageDTO]));
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return;
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}
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|
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if (e.shiftKey) {
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const rangeEndImageName = imageDTO.image_name;
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const lastSelectedImage = selection[selection.length - 1]?.image_name;
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@ -71,7 +79,7 @@ export const useMultiselect = (imageDTO?: ImageDTO) => {
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dispatch(selectionChanged([imageDTO]));
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}
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},
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[dispatch, imageDTO, imageDTOs, selection]
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[dispatch, imageDTO, imageDTOs, selection, isMultiSelectEnabled]
|
||||
);
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||||
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const isSelected = useMemo(
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@ -31,7 +31,7 @@ const ParamLoraCollapse = () => {
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}
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return (
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<IAICollapse label={'LoRA'} activeLabel={activeLabel}>
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<IAICollapse label="LoRA" activeLabel={activeLabel}>
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<Flex sx={{ flexDir: 'column', gap: 2 }}>
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<ParamLoRASelect />
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<ParamLoraList />
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@ -1,3 +1,4 @@
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import { Divider } from '@chakra-ui/react';
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import { createSelector } from '@reduxjs/toolkit';
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import { stateSelector } from 'app/store/store';
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import { useAppSelector } from 'app/store/storeHooks';
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@ -8,20 +9,21 @@ import ParamLora from './ParamLora';
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const selector = createSelector(
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stateSelector,
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({ lora }) => {
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const { loras } = lora;
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|
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return { loras };
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return { lorasArray: map(lora.loras) };
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},
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defaultSelectorOptions
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);
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const ParamLoraList = () => {
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const { loras } = useAppSelector(selector);
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const { lorasArray } = useAppSelector(selector);
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|
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return (
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<>
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{map(loras, (lora) => (
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<ParamLora key={lora.model_name} lora={lora} />
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{lorasArray.map((lora, i) => (
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<>
|
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{i > 0 && <Divider key={`${lora.model_name}-divider`} pt={1} />}
|
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<ParamLora key={lora.model_name} lora={lora} />
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</>
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))}
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</>
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);
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@ -9,7 +9,6 @@ import {
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CLIP_SKIP,
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LORA_LOADER,
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MAIN_MODEL_LOADER,
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ONNX_MODEL_LOADER,
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METADATA_ACCUMULATOR,
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NEGATIVE_CONDITIONING,
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POSITIVE_CONDITIONING,
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@ -36,15 +35,11 @@ export const addLoRAsToGraph = (
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| undefined;
|
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|
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if (loraCount > 0) {
|
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// Remove MAIN_MODEL_LOADER unet connection to feed it to LoRAs
|
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// Remove modelLoaderNodeId unet connection to feed it to LoRAs
|
||||
graph.edges = graph.edges.filter(
|
||||
(e) =>
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||||
!(
|
||||
e.source.node_id === MAIN_MODEL_LOADER &&
|
||||
['unet'].includes(e.source.field)
|
||||
) &&
|
||||
!(
|
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e.source.node_id === ONNX_MODEL_LOADER &&
|
||||
e.source.node_id === modelLoaderNodeId &&
|
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['unet'].includes(e.source.field)
|
||||
)
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);
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@ -0,0 +1,212 @@
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import { RootState } from 'app/store/store';
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import { NonNullableGraph } from 'features/nodes/types/types';
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import { forEach, size } from 'lodash-es';
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import {
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MetadataAccumulatorInvocation,
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SDXLLoraLoaderInvocation,
|
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} from 'services/api/types';
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import {
|
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LORA_LOADER,
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METADATA_ACCUMULATOR,
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NEGATIVE_CONDITIONING,
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POSITIVE_CONDITIONING,
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SDXL_MODEL_LOADER,
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} from './constants';
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export const addSDXLLoRAsToGraph = (
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state: RootState,
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graph: NonNullableGraph,
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baseNodeId: string,
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modelLoaderNodeId: string = SDXL_MODEL_LOADER
|
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): void => {
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/**
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* LoRA nodes get the UNet and CLIP models from the main model loader and apply the LoRA to them.
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* They then output the UNet and CLIP models references on to either the next LoRA in the chain,
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* or to the inference/conditioning nodes.
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*
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* So we need to inject a LoRA chain into the graph.
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*/
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const { loras } = state.lora;
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const loraCount = size(loras);
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const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
|
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| MetadataAccumulatorInvocation
|
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| undefined;
|
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|
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if (loraCount > 0) {
|
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// Remove modelLoaderNodeId unet/clip/clip2 connections to feed it to LoRAs
|
||||
graph.edges = graph.edges.filter(
|
||||
(e) =>
|
||||
!(
|
||||
e.source.node_id === modelLoaderNodeId &&
|
||||
['unet'].includes(e.source.field)
|
||||
) &&
|
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!(
|
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e.source.node_id === modelLoaderNodeId &&
|
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['clip'].includes(e.source.field)
|
||||
) &&
|
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!(
|
||||
e.source.node_id === modelLoaderNodeId &&
|
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['clip2'].includes(e.source.field)
|
||||
)
|
||||
);
|
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}
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// we need to remember the last lora so we can chain from it
|
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let lastLoraNodeId = '';
|
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let currentLoraIndex = 0;
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||||
|
||||
forEach(loras, (lora) => {
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const { model_name, base_model, weight } = lora;
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const currentLoraNodeId = `${LORA_LOADER}_${model_name.replace('.', '_')}`;
|
||||
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const loraLoaderNode: SDXLLoraLoaderInvocation = {
|
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type: 'sdxl_lora_loader',
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id: currentLoraNodeId,
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is_intermediate: true,
|
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lora: { model_name, base_model },
|
||||
weight,
|
||||
};
|
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|
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// add the lora to the metadata accumulator
|
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if (metadataAccumulator) {
|
||||
metadataAccumulator.loras.push({
|
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lora: { model_name, base_model },
|
||||
weight,
|
||||
});
|
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}
|
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|
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// add to graph
|
||||
graph.nodes[currentLoraNodeId] = loraLoaderNode;
|
||||
if (currentLoraIndex === 0) {
|
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// first lora = start the lora chain, attach directly to model loader
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: modelLoaderNodeId,
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field: 'unet',
|
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},
|
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destination: {
|
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node_id: currentLoraNodeId,
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field: 'unet',
|
||||
},
|
||||
});
|
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graph.edges.push({
|
||||
source: {
|
||||
node_id: modelLoaderNodeId,
|
||||
field: 'clip',
|
||||
},
|
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destination: {
|
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node_id: currentLoraNodeId,
|
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field: 'clip',
|
||||
},
|
||||
});
|
||||
|
||||
graph.edges.push({
|
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source: {
|
||||
node_id: modelLoaderNodeId,
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field: 'clip2',
|
||||
},
|
||||
destination: {
|
||||
node_id: currentLoraNodeId,
|
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field: 'clip2',
|
||||
},
|
||||
});
|
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} else {
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// we are in the middle of the lora chain, instead connect to the previous lora
|
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graph.edges.push({
|
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source: {
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node_id: lastLoraNodeId,
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field: 'unet',
|
||||
},
|
||||
destination: {
|
||||
node_id: currentLoraNodeId,
|
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field: 'unet',
|
||||
},
|
||||
});
|
||||
graph.edges.push({
|
||||
source: {
|
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node_id: lastLoraNodeId,
|
||||
field: 'clip',
|
||||
},
|
||||
destination: {
|
||||
node_id: currentLoraNodeId,
|
||||
field: 'clip',
|
||||
},
|
||||
});
|
||||
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: lastLoraNodeId,
|
||||
field: 'clip2',
|
||||
},
|
||||
destination: {
|
||||
node_id: currentLoraNodeId,
|
||||
field: 'clip2',
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
if (currentLoraIndex === loraCount - 1) {
|
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// final lora, end the lora chain - we need to connect up to inference and conditioning nodes
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: currentLoraNodeId,
|
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field: 'unet',
|
||||
},
|
||||
destination: {
|
||||
node_id: baseNodeId,
|
||||
field: 'unet',
|
||||
},
|
||||
});
|
||||
|
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graph.edges.push({
|
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source: {
|
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node_id: currentLoraNodeId,
|
||||
field: 'clip',
|
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},
|
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destination: {
|
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node_id: POSITIVE_CONDITIONING,
|
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field: 'clip',
|
||||
},
|
||||
});
|
||||
|
||||
graph.edges.push({
|
||||
source: {
|
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node_id: currentLoraNodeId,
|
||||
field: 'clip',
|
||||
},
|
||||
destination: {
|
||||
node_id: NEGATIVE_CONDITIONING,
|
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field: 'clip',
|
||||
},
|
||||
});
|
||||
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: currentLoraNodeId,
|
||||
field: 'clip2',
|
||||
},
|
||||
destination: {
|
||||
node_id: POSITIVE_CONDITIONING,
|
||||
field: 'clip2',
|
||||
},
|
||||
});
|
||||
|
||||
graph.edges.push({
|
||||
source: {
|
||||
node_id: currentLoraNodeId,
|
||||
field: 'clip2',
|
||||
},
|
||||
destination: {
|
||||
node_id: NEGATIVE_CONDITIONING,
|
||||
field: 'clip2',
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
// increment the lora for the next one in the chain
|
||||
lastLoraNodeId = currentLoraNodeId;
|
||||
currentLoraIndex += 1;
|
||||
});
|
||||
};
|
||||
@ -22,6 +22,7 @@ import {
|
||||
SDXL_LATENTS_TO_LATENTS,
|
||||
SDXL_MODEL_LOADER,
|
||||
} from './constants';
|
||||
import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
|
||||
|
||||
/**
|
||||
* Builds the Image to Image tab graph.
|
||||
@ -364,6 +365,8 @@ export const buildLinearSDXLImageToImageGraph = (
|
||||
},
|
||||
});
|
||||
|
||||
addSDXLLoRAsToGraph(state, graph, SDXL_LATENTS_TO_LATENTS, SDXL_MODEL_LOADER);
|
||||
|
||||
// Add Refiner if enabled
|
||||
if (shouldUseSDXLRefiner) {
|
||||
addSDXLRefinerToGraph(state, graph, SDXL_LATENTS_TO_LATENTS);
|
||||
|
||||
@ -4,6 +4,7 @@ import { NonNullableGraph } from 'features/nodes/types/types';
|
||||
import { initialGenerationState } from 'features/parameters/store/generationSlice';
|
||||
import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
|
||||
import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
|
||||
import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
|
||||
import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
|
||||
import { addWatermarkerToGraph } from './addWatermarkerToGraph';
|
||||
import {
|
||||
@ -246,6 +247,8 @@ export const buildLinearSDXLTextToImageGraph = (
|
||||
},
|
||||
});
|
||||
|
||||
addSDXLLoRAsToGraph(state, graph, SDXL_TEXT_TO_LATENTS, SDXL_MODEL_LOADER);
|
||||
|
||||
// Add Refiner if enabled
|
||||
if (shouldUseSDXLRefiner) {
|
||||
addSDXLRefinerToGraph(state, graph, SDXL_TEXT_TO_LATENTS);
|
||||
|
||||
@ -4,6 +4,7 @@ import ProcessButtons from 'features/parameters/components/ProcessButtons/Proces
|
||||
import ParamSDXLPromptArea from './ParamSDXLPromptArea';
|
||||
import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
|
||||
import SDXLImageToImageTabCoreParameters from './SDXLImageToImageTabCoreParameters';
|
||||
import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
|
||||
|
||||
const SDXLImageToImageTabParameters = () => {
|
||||
return (
|
||||
@ -12,6 +13,7 @@ const SDXLImageToImageTabParameters = () => {
|
||||
<ProcessButtons />
|
||||
<SDXLImageToImageTabCoreParameters />
|
||||
<ParamSDXLRefinerCollapse />
|
||||
<ParamLoraCollapse />
|
||||
<ParamDynamicPromptsCollapse />
|
||||
<ParamNoiseCollapse />
|
||||
</>
|
||||
|
||||
@ -4,6 +4,7 @@ import ProcessButtons from 'features/parameters/components/ProcessButtons/Proces
|
||||
import TextToImageTabCoreParameters from 'features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters';
|
||||
import ParamSDXLPromptArea from './ParamSDXLPromptArea';
|
||||
import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
|
||||
import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
|
||||
|
||||
const SDXLTextToImageTabParameters = () => {
|
||||
return (
|
||||
@ -12,6 +13,7 @@ const SDXLTextToImageTabParameters = () => {
|
||||
<ProcessButtons />
|
||||
<TextToImageTabCoreParameters />
|
||||
<ParamSDXLRefinerCollapse />
|
||||
<ParamLoraCollapse />
|
||||
<ParamDynamicPromptsCollapse />
|
||||
<ParamNoiseCollapse />
|
||||
</>
|
||||
|
||||
@ -4,6 +4,7 @@ import {
|
||||
ASSETS_CATEGORIES,
|
||||
BoardId,
|
||||
IMAGE_CATEGORIES,
|
||||
IMAGE_LIMIT,
|
||||
} from 'features/gallery/store/types';
|
||||
import { keyBy } from 'lodash';
|
||||
import { ApiFullTagDescription, LIST_TAG, api } from '..';
|
||||
@ -167,7 +168,14 @@ export const imagesApi = api.injectEndpoints({
|
||||
},
|
||||
};
|
||||
},
|
||||
invalidatesTags: (result, error, imageDTOs) => [],
|
||||
invalidatesTags: (result, error, { imageDTOs }) => {
|
||||
// for now, assume bulk delete is all on one board
|
||||
const boardId = imageDTOs[0]?.board_id;
|
||||
return [
|
||||
{ type: 'BoardImagesTotal', id: boardId ?? 'none' },
|
||||
{ type: 'BoardAssetsTotal', id: boardId ?? 'none' },
|
||||
];
|
||||
},
|
||||
async onQueryStarted({ imageDTOs }, { dispatch, queryFulfilled }) {
|
||||
/**
|
||||
* Cache changes for `deleteImages`:
|
||||
@ -889,18 +897,25 @@ export const imagesApi = api.injectEndpoints({
|
||||
board_id,
|
||||
},
|
||||
}),
|
||||
invalidatesTags: (result, error, { board_id }) => [
|
||||
// update the destination board
|
||||
{ type: 'Board', id: board_id ?? 'none' },
|
||||
// update old board totals
|
||||
{ type: 'BoardImagesTotal', id: board_id ?? 'none' },
|
||||
{ type: 'BoardAssetsTotal', id: board_id ?? 'none' },
|
||||
// update the no_board totals
|
||||
{ type: 'BoardImagesTotal', id: 'none' },
|
||||
{ type: 'BoardAssetsTotal', id: 'none' },
|
||||
],
|
||||
invalidatesTags: (result, error, { imageDTOs, board_id }) => {
|
||||
//assume all images are being moved from one board for now
|
||||
const oldBoardId = imageDTOs[0]?.board_id;
|
||||
return [
|
||||
// update the destination board
|
||||
{ type: 'Board', id: board_id ?? 'none' },
|
||||
// update new board totals
|
||||
{ type: 'BoardImagesTotal', id: board_id ?? 'none' },
|
||||
{ type: 'BoardAssetsTotal', id: board_id ?? 'none' },
|
||||
// update old board totals
|
||||
{ type: 'BoardImagesTotal', id: oldBoardId ?? 'none' },
|
||||
{ type: 'BoardAssetsTotal', id: oldBoardId ?? 'none' },
|
||||
// update the no_board totals
|
||||
{ type: 'BoardImagesTotal', id: 'none' },
|
||||
{ type: 'BoardAssetsTotal', id: 'none' },
|
||||
];
|
||||
},
|
||||
async onQueryStarted(
|
||||
{ board_id, imageDTOs },
|
||||
{ board_id: new_board_id, imageDTOs },
|
||||
{ dispatch, queryFulfilled, getState }
|
||||
) {
|
||||
try {
|
||||
@ -920,7 +935,7 @@ export const imagesApi = api.injectEndpoints({
|
||||
'getImageDTO',
|
||||
image_name,
|
||||
(draft) => {
|
||||
draft.board_id = board_id;
|
||||
draft.board_id = new_board_id;
|
||||
}
|
||||
)
|
||||
);
|
||||
@ -946,7 +961,7 @@ export const imagesApi = api.injectEndpoints({
|
||||
);
|
||||
|
||||
const queryArgs = {
|
||||
board_id,
|
||||
board_id: new_board_id,
|
||||
categories,
|
||||
};
|
||||
|
||||
@ -954,23 +969,24 @@ export const imagesApi = api.injectEndpoints({
|
||||
queryArgs
|
||||
)(getState());
|
||||
|
||||
const { data: total } = IMAGE_CATEGORIES.includes(
|
||||
const { data: previousTotal } = IMAGE_CATEGORIES.includes(
|
||||
imageDTO.image_category
|
||||
)
|
||||
? boardsApi.endpoints.getBoardImagesTotal.select(
|
||||
imageDTO.board_id ?? 'none'
|
||||
new_board_id ?? 'none'
|
||||
)(getState())
|
||||
: boardsApi.endpoints.getBoardAssetsTotal.select(
|
||||
imageDTO.board_id ?? 'none'
|
||||
new_board_id ?? 'none'
|
||||
)(getState());
|
||||
|
||||
const isCacheFullyPopulated =
|
||||
currentCache.data && currentCache.data.ids.length >= (total ?? 0);
|
||||
currentCache.data &&
|
||||
currentCache.data.ids.length >= (previousTotal ?? 0);
|
||||
|
||||
const isInDateRange = getIsImageInDateRange(
|
||||
currentCache.data,
|
||||
imageDTO
|
||||
);
|
||||
const isInDateRange =
|
||||
(previousTotal || 0) >= IMAGE_LIMIT
|
||||
? getIsImageInDateRange(currentCache.data, imageDTO)
|
||||
: true;
|
||||
|
||||
if (isCacheFullyPopulated || isInDateRange) {
|
||||
// *upsert* to $cache
|
||||
@ -981,7 +997,7 @@ export const imagesApi = api.injectEndpoints({
|
||||
(draft) => {
|
||||
imagesAdapter.upsertOne(draft, {
|
||||
...imageDTO,
|
||||
board_id,
|
||||
board_id: new_board_id,
|
||||
});
|
||||
}
|
||||
)
|
||||
@ -1097,10 +1113,10 @@ export const imagesApi = api.injectEndpoints({
|
||||
const isCacheFullyPopulated =
|
||||
currentCache.data && currentCache.data.ids.length >= (total ?? 0);
|
||||
|
||||
const isInDateRange = getIsImageInDateRange(
|
||||
currentCache.data,
|
||||
imageDTO
|
||||
);
|
||||
const isInDateRange =
|
||||
(total || 0) >= IMAGE_LIMIT
|
||||
? getIsImageInDateRange(currentCache.data, imageDTO)
|
||||
: true;
|
||||
|
||||
if (isCacheFullyPopulated || isInDateRange) {
|
||||
// *upsert* to $cache
|
||||
@ -1111,7 +1127,7 @@ export const imagesApi = api.injectEndpoints({
|
||||
(draft) => {
|
||||
imagesAdapter.upsertOne(draft, {
|
||||
...imageDTO,
|
||||
board_id: undefined,
|
||||
board_id: 'none',
|
||||
});
|
||||
}
|
||||
)
|
||||
|
||||
222
invokeai/frontend/web/src/services/api/schema.d.ts
vendored
222
invokeai/frontend/web/src/services/api/schema.d.ts
vendored
@ -1443,7 +1443,7 @@ 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"]["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;
|
||||
[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;
|
||||
};
|
||||
/**
|
||||
* Edges
|
||||
@ -1486,7 +1486,7 @@ 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"]["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"]["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
|
||||
@ -1904,6 +1904,40 @@ export type components = {
|
||||
*/
|
||||
image_name: string;
|
||||
};
|
||||
/**
|
||||
* ImageHueAdjustmentInvocation
|
||||
* @description Adjusts the Hue of an image.
|
||||
*/
|
||||
ImageHueAdjustmentInvocation: {
|
||||
/**
|
||||
* 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 img_hue_adjust
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "img_hue_adjust";
|
||||
/**
|
||||
* Image
|
||||
* @description The image to adjust
|
||||
*/
|
||||
image?: components["schemas"]["ImageField"];
|
||||
/**
|
||||
* Hue
|
||||
* @description The degrees by which to rotate the hue, 0-360
|
||||
* @default 0
|
||||
*/
|
||||
hue?: number;
|
||||
};
|
||||
/**
|
||||
* ImageInverseLerpInvocation
|
||||
* @description Inverse linear interpolation of all pixels of an image
|
||||
@ -1984,6 +2018,40 @@ export type components = {
|
||||
*/
|
||||
max?: number;
|
||||
};
|
||||
/**
|
||||
* ImageLuminosityAdjustmentInvocation
|
||||
* @description Adjusts the Luminosity (Value) of an image.
|
||||
*/
|
||||
ImageLuminosityAdjustmentInvocation: {
|
||||
/**
|
||||
* 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 img_luminosity_adjust
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "img_luminosity_adjust";
|
||||
/**
|
||||
* Image
|
||||
* @description The image to adjust
|
||||
*/
|
||||
image?: components["schemas"]["ImageField"];
|
||||
/**
|
||||
* Luminosity
|
||||
* @description The factor by which to adjust the luminosity (value)
|
||||
* @default 1
|
||||
*/
|
||||
luminosity?: number;
|
||||
};
|
||||
/**
|
||||
* ImageMetadata
|
||||
* @description An image's generation metadata
|
||||
@ -2239,6 +2307,40 @@ export type components = {
|
||||
*/
|
||||
resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
|
||||
};
|
||||
/**
|
||||
* ImageSaturationAdjustmentInvocation
|
||||
* @description Adjusts the Saturation of an image.
|
||||
*/
|
||||
ImageSaturationAdjustmentInvocation: {
|
||||
/**
|
||||
* 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 img_saturation_adjust
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "img_saturation_adjust";
|
||||
/**
|
||||
* Image
|
||||
* @description The image to adjust
|
||||
*/
|
||||
image?: components["schemas"]["ImageField"];
|
||||
/**
|
||||
* Saturation
|
||||
* @description The factor by which to adjust the saturation
|
||||
* @default 1
|
||||
*/
|
||||
saturation?: number;
|
||||
};
|
||||
/**
|
||||
* ImageScaleInvocation
|
||||
* @description Scales an image by a factor
|
||||
@ -4912,6 +5014,82 @@ export type components = {
|
||||
*/
|
||||
denoising_end?: number;
|
||||
};
|
||||
/**
|
||||
* SDXLLoraLoaderInvocation
|
||||
* @description Apply selected lora to unet and text_encoder.
|
||||
*/
|
||||
SDXLLoraLoaderInvocation: {
|
||||
/**
|
||||
* 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_lora_loader
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "sdxl_lora_loader";
|
||||
/**
|
||||
* Lora
|
||||
* @description Lora model name
|
||||
*/
|
||||
lora?: components["schemas"]["LoRAModelField"];
|
||||
/**
|
||||
* Weight
|
||||
* @description With what weight to apply lora
|
||||
* @default 0.75
|
||||
*/
|
||||
weight?: number;
|
||||
/**
|
||||
* Unet
|
||||
* @description UNet model for applying lora
|
||||
*/
|
||||
unet?: components["schemas"]["UNetField"];
|
||||
/**
|
||||
* Clip
|
||||
* @description Clip model for applying lora
|
||||
*/
|
||||
clip?: components["schemas"]["ClipField"];
|
||||
/**
|
||||
* Clip2
|
||||
* @description Clip2 model for applying lora
|
||||
*/
|
||||
clip2?: components["schemas"]["ClipField"];
|
||||
};
|
||||
/**
|
||||
* SDXLLoraLoaderOutput
|
||||
* @description Model loader output
|
||||
*/
|
||||
SDXLLoraLoaderOutput: {
|
||||
/**
|
||||
* Type
|
||||
* @default sdxl_lora_loader_output
|
||||
* @enum {string}
|
||||
*/
|
||||
type?: "sdxl_lora_loader_output";
|
||||
/**
|
||||
* Unet
|
||||
* @description UNet submodel
|
||||
*/
|
||||
unet?: components["schemas"]["UNetField"];
|
||||
/**
|
||||
* Clip
|
||||
* @description Tokenizer and text_encoder submodels
|
||||
*/
|
||||
clip?: components["schemas"]["ClipField"];
|
||||
/**
|
||||
* Clip2
|
||||
* @description Tokenizer2 and text_encoder2 submodels
|
||||
*/
|
||||
clip2?: components["schemas"]["ClipField"];
|
||||
};
|
||||
/**
|
||||
* SDXLModelLoaderInvocation
|
||||
* @description Loads an sdxl base model, outputting its submodels.
|
||||
@ -5961,6 +6139,24 @@ 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.
|
||||
@ -5973,24 +6169,6 @@ export type components = {
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusion1ModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* StableDiffusionXLModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
|
||||
/**
|
||||
* ControlNetModelFormat
|
||||
* @description An enumeration.
|
||||
* @enum {string}
|
||||
*/
|
||||
ControlNetModelFormat: "checkpoint" | "diffusers";
|
||||
};
|
||||
responses: never;
|
||||
parameters: never;
|
||||
@ -6101,7 +6279,7 @@ 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"]["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"];
|
||||
"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"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
@ -6138,7 +6316,7 @@ 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"]["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"];
|
||||
"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"];
|
||||
};
|
||||
};
|
||||
responses: {
|
||||
|
||||
@ -166,6 +166,9 @@ export type OnnxModelLoaderInvocation = TypeReq<
|
||||
export type LoraLoaderInvocation = TypeReq<
|
||||
components['schemas']['LoraLoaderInvocation']
|
||||
>;
|
||||
export type SDXLLoraLoaderInvocation = TypeReq<
|
||||
components['schemas']['SDXLLoraLoaderInvocation']
|
||||
>;
|
||||
export type MetadataAccumulatorInvocation = TypeReq<
|
||||
components['schemas']['MetadataAccumulatorInvocation']
|
||||
>;
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user