mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
tidy(ui): revert changes to old CA implementation
These changes were left over from the previous attempt to handle control adapters in control layers with the same logic. Control Layers are now handled totally separately, so these changes may be reverted.
This commit is contained in:
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33a9f9a4dc
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b1d8f3a3f9
@ -48,10 +48,12 @@ export const addCanvasImageToControlNetListener = (startAppListening: AppStartLi
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})
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).unwrap();
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const { image_name } = imageDTO;
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dispatch(
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controlAdapterImageChanged({
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id,
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controlImage: imageDTO,
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controlImage: image_name,
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})
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);
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},
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@ -58,10 +58,12 @@ export const addCanvasMaskToControlNetListener = (startAppListening: AppStartLis
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})
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).unwrap();
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const { image_name } = imageDTO;
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dispatch(
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controlAdapterImageChanged({
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id,
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controlImage: imageDTO,
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controlImage: image_name,
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})
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);
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},
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@ -12,7 +12,6 @@ import {
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selectControlAdapterById,
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} from 'features/controlAdapters/store/controlAdaptersSlice';
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import { isControlNetOrT2IAdapter } from 'features/controlAdapters/store/types';
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import { isEqual } from 'lodash-es';
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type AnyControlAdapterParamChangeAction =
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| ReturnType<typeof controlAdapterProcessorParamsChanged>
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@ -53,11 +52,6 @@ const predicate: AnyListenerPredicate<RootState> = (action, state, prevState) =>
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return false;
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}
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if (prevCA.controlImage === ca.controlImage && isEqual(prevCA.processorNode, ca.processorNode)) {
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// Don't re-process if the processor hasn't changed
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return false;
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}
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const isProcessorSelected = processorType !== 'none';
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const hasControlImage = Boolean(controlImage);
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@ -91,7 +91,7 @@ export const addControlNetImageProcessedListener = (startAppListening: AppStartL
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dispatch(
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controlAdapterProcessedImageChanged({
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id,
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processedControlImage,
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processedControlImage: processedControlImage.image_name,
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})
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);
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}
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@ -76,7 +76,7 @@ export const addImageDroppedListener = (startAppListening: AppStartListening) =>
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dispatch(
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controlAdapterImageChanged({
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id,
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controlImage: activeData.payload.imageDTO,
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controlImage: activeData.payload.imageDTO.image_name,
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})
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);
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dispatch(
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@ -101,7 +101,7 @@ export const addImageUploadedFulfilledListener = (startAppListening: AppStartLis
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dispatch(
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controlAdapterImageChanged({
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id,
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controlImage: imageDTO,
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controlImage: imageDTO.image_name,
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})
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);
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dispatch(
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@ -1,7 +1,7 @@
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import { logger } from 'app/logging/logger';
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import type { AppStartListening } from 'app/store/middleware/listenerMiddleware';
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import {
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controlAdapterModelChanged,
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controlAdapterIsEnabledChanged,
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selectControlAdapterAll,
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} from 'features/controlAdapters/store/controlAdaptersSlice';
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import { loraRemoved } from 'features/lora/store/loraSlice';
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@ -54,7 +54,7 @@ export const addModelSelectedListener = (startAppListening: AppStartListening) =
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// handle incompatible controlnets
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selectControlAdapterAll(state.controlAdapters).forEach((ca) => {
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if (ca.model?.base !== newBaseModel) {
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dispatch(controlAdapterModelChanged({ id: ca.id, modelConfig: null }));
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dispatch(controlAdapterIsEnabledChanged({ id: ca.id, isEnabled: false }));
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modelsCleared += 1;
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}
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});
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@ -113,7 +113,7 @@ const ControlAdapterConfig = (props: { id: string; number: number }) => {
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<Flex w="full" flexDir="column" gap={4}>
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<Flex gap={8} w="full" alignItems="center">
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<Flex flexDir="column" gap={4} h={controlAdapterType === 'ip_adapter' ? 40 : 32} w="full">
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{controlAdapterType === 'ip_adapter' && <ParamControlAdapterIPMethod id={id} />}
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<ParamControlAdapterIPMethod id={id} />
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<ParamControlAdapterWeight id={id} />
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<ParamControlAdapterBeginEnd id={id} />
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</Flex>
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@ -46,9 +46,13 @@ const ParamControlAdapterIPMethod = ({ id }: Props) => {
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const value = useMemo(() => options.find((o) => o.value === method), [options, method]);
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if (!method) {
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return null;
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}
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return (
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<FormControl>
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<InformationalPopover feature="ipAdapterMethod">
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<InformationalPopover feature="controlNetResizeMode">
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<FormLabel>{t('controlnet.ipAdapterMethod')}</FormLabel>
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</InformationalPopover>
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<Combobox value={value} options={options} isDisabled={!isEnabled} onChange={handleIPMethodChanged} />
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@ -102,9 +102,13 @@ const ParamControlAdapterModel = ({ id }: ParamControlAdapterModelProps) => {
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);
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return (
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<Flex gap={4}>
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<Flex sx={{ gap: 2 }}>
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<Tooltip label={selectedModel?.description}>
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<FormControl isDisabled={!isEnabled} isInvalid={!value || mainModel?.base !== modelConfig?.base} w="full">
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<FormControl
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isDisabled={!isEnabled}
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isInvalid={!value || mainModel?.base !== modelConfig?.base}
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sx={{ width: '100%' }}
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>
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<Combobox
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options={options}
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placeholder={t('controlnet.selectModel')}
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@ -118,8 +122,7 @@ const ParamControlAdapterModel = ({ id }: ParamControlAdapterModelProps) => {
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<FormControl
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isDisabled={!isEnabled}
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isInvalid={!value || mainModel?.base !== modelConfig?.base}
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width="max-content"
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minWidth={28}
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sx={{ width: 'max-content', minWidth: 28 }}
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>
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<Combobox
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options={clipVisionOptions}
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@ -5,15 +5,15 @@ import {
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selectControlAdaptersSlice,
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} from 'features/controlAdapters/store/controlAdaptersSlice';
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import { useMemo } from 'react';
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import { assert } from 'tsafe';
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export const useControlAdapterIPMethod = (id: string) => {
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const selector = useMemo(
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() =>
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createMemoizedSelector(selectControlAdaptersSlice, (controlAdapters) => {
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const ca = selectControlAdapterById(controlAdapters, id);
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assert(ca?.type === 'ip_adapter');
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return ca.method;
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const cn = selectControlAdapterById(controlAdapters, id);
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if (cn && cn?.type === 'ip_adapter') {
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return cn.method;
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}
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}),
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[id]
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);
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@ -7,7 +7,7 @@ import { buildControlAdapter } from 'features/controlAdapters/util/buildControlA
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import { buildControlAdapterProcessor } from 'features/controlAdapters/util/buildControlAdapterProcessor';
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import { zModelIdentifierField } from 'features/nodes/types/common';
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import { merge, uniq } from 'lodash-es';
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import type { ControlNetModelConfig, ImageDTO, IPAdapterModelConfig, T2IAdapterModelConfig } from 'services/api/types';
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import type { ControlNetModelConfig, IPAdapterModelConfig, T2IAdapterModelConfig } from 'services/api/types';
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import { socketInvocationError } from 'services/events/actions';
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import { v4 as uuidv4 } from 'uuid';
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@ -134,46 +134,23 @@ export const controlAdaptersSlice = createSlice({
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const { id, isEnabled } = action.payload;
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caAdapter.updateOne(state, { id, changes: { isEnabled } });
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},
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controlAdapterImageChanged: (state, action: PayloadAction<{ id: string; controlImage: ImageDTO | null }>) => {
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controlAdapterImageChanged: (
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state,
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action: PayloadAction<{
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id: string;
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controlImage: string | null;
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}>
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) => {
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const { id, controlImage } = action.payload;
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const ca = selectControlAdapterById(state, id);
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if (!ca) {
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return;
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}
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if (isControlNetOrT2IAdapter(ca)) {
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if (controlImage) {
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const { image_name, width, height } = controlImage;
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const processorNode = deepClone(ca.processorNode);
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const minDim = Math.min(controlImage.width, controlImage.height);
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if ('detect_resolution' in processorNode) {
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processorNode.detect_resolution = minDim;
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}
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if ('image_resolution' in processorNode) {
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processorNode.image_resolution = minDim;
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}
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if ('resolution' in processorNode) {
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processorNode.resolution = minDim;
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}
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caAdapter.updateOne(state, {
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id,
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changes: {
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processorNode,
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controlImage: image_name,
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controlImageDimensions: { width, height },
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processedControlImage: null,
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},
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});
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} else {
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caAdapter.updateOne(state, {
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id,
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changes: { controlImage: null, controlImageDimensions: null, processedControlImage: null },
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});
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}
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} else {
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// ip adapter
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caAdapter.updateOne(state, { id, changes: { controlImage: controlImage?.image_name ?? null } });
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}
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caAdapter.updateOne(state, {
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id,
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changes: { controlImage, processedControlImage: null },
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});
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if (controlImage !== null && isControlNetOrT2IAdapter(ca) && ca.processorType !== 'none') {
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state.pendingControlImages.push(id);
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@ -183,7 +160,7 @@ export const controlAdaptersSlice = createSlice({
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state,
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action: PayloadAction<{
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id: string;
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processedControlImage: ImageDTO | null;
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processedControlImage: string | null;
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}>
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) => {
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const { id, processedControlImage } = action.payload;
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@ -196,24 +173,12 @@ export const controlAdaptersSlice = createSlice({
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return;
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}
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if (processedControlImage) {
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const { image_name, width, height } = processedControlImage;
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caAdapter.updateOne(state, {
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id,
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changes: {
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processedControlImage: image_name,
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processedControlImageDimensions: { width, height },
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},
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});
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} else {
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caAdapter.updateOne(state, {
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id,
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changes: {
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processedControlImage: null,
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processedControlImageDimensions: null,
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},
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});
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}
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caAdapter.updateOne(state, {
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id,
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changes: {
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processedControlImage,
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},
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});
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state.pendingControlImages = state.pendingControlImages.filter((pendingId) => pendingId !== id);
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},
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@ -227,7 +192,7 @@ export const controlAdaptersSlice = createSlice({
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state,
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action: PayloadAction<{
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id: string;
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modelConfig: ControlNetModelConfig | T2IAdapterModelConfig | IPAdapterModelConfig | null;
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modelConfig: ControlNetModelConfig | T2IAdapterModelConfig | IPAdapterModelConfig;
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}>
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) => {
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const { id, modelConfig } = action.payload;
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@ -236,11 +201,6 @@ export const controlAdaptersSlice = createSlice({
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return;
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}
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if (modelConfig === null) {
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caAdapter.updateOne(state, { id, changes: { model: null } });
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return;
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}
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const model = zModelIdentifierField.parse(modelConfig);
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if (!isControlNetOrT2IAdapter(cn)) {
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@ -248,36 +208,22 @@ export const controlAdaptersSlice = createSlice({
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return;
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}
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const update: Update<ControlNetConfig | T2IAdapterConfig, string> = {
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id,
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changes: { model, shouldAutoConfig: true },
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};
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update.changes.processedControlImage = null;
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if (modelConfig.type === 'ip_adapter') {
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// should never happen...
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return;
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}
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// We always update the model
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const update: Update<ControlNetConfig | T2IAdapterConfig, string> = { id, changes: { model } };
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// Build the default processor for this model
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const processor = buildControlAdapterProcessor(modelConfig);
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if (processor.processorType !== cn.processorNode.type) {
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// If the processor type has changed, update the processor node
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update.changes.shouldAutoConfig = true;
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update.changes.processedControlImage = null;
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update.changes.processorType = processor.processorType;
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update.changes.processorNode = processor.processorNode;
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update.changes.processorType = processor.processorType;
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update.changes.processorNode = processor.processorNode;
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if (cn.controlImageDimensions) {
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const minDim = Math.min(cn.controlImageDimensions.width, cn.controlImageDimensions.height);
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if ('detect_resolution' in update.changes.processorNode) {
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update.changes.processorNode.detect_resolution = minDim;
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}
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if ('image_resolution' in update.changes.processorNode) {
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update.changes.processorNode.image_resolution = minDim;
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}
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if ('resolution' in update.changes.processorNode) {
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update.changes.processorNode.resolution = minDim;
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}
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}
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}
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caAdapter.updateOne(state, update);
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},
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controlAdapterWeightChanged: (state, action: PayloadAction<{ id: string; weight: number }>) => {
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@ -394,23 +340,8 @@ export const controlAdaptersSlice = createSlice({
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if (update.changes.shouldAutoConfig && modelConfig) {
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const processor = buildControlAdapterProcessor(modelConfig);
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if (processor.processorType !== cn.processorNode.type) {
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update.changes.processorType = processor.processorType;
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update.changes.processorNode = processor.processorNode;
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// Copy image resolution settings, urgh
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if (cn.controlImageDimensions) {
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const minDim = Math.min(cn.controlImageDimensions.width, cn.controlImageDimensions.height);
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if ('detect_resolution' in update.changes.processorNode) {
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update.changes.processorNode.detect_resolution = minDim;
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}
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if ('image_resolution' in update.changes.processorNode) {
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update.changes.processorNode.image_resolution = minDim;
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}
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if ('resolution' in update.changes.processorNode) {
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update.changes.processorNode.resolution = minDim;
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}
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}
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}
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update.changes.processorType = processor.processorType;
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update.changes.processorNode = processor.processorNode;
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}
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caAdapter.updateOne(state, update);
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@ -225,9 +225,7 @@ export type ControlNetConfig = {
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controlMode: ControlMode;
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resizeMode: ResizeMode;
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controlImage: string | null;
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controlImageDimensions: { width: number; height: number } | null;
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processedControlImage: string | null;
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processedControlImageDimensions: { width: number; height: number } | null;
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processorType: ControlAdapterProcessorType;
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processorNode: RequiredControlAdapterProcessorNode;
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shouldAutoConfig: boolean;
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@ -243,9 +241,7 @@ export type T2IAdapterConfig = {
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endStepPct: number;
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resizeMode: ResizeMode;
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controlImage: string | null;
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controlImageDimensions: { width: number; height: number } | null;
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processedControlImage: string | null;
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processedControlImageDimensions: { width: number; height: number } | null;
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processorType: ControlAdapterProcessorType;
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processorNode: RequiredControlAdapterProcessorNode;
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shouldAutoConfig: boolean;
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@ -20,9 +20,7 @@ export const initialControlNet: Omit<ControlNetConfig, 'id'> = {
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controlMode: 'balanced',
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resizeMode: 'just_resize',
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controlImage: null,
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controlImageDimensions: null,
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processedControlImage: null,
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processedControlImageDimensions: null,
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processorType: 'canny_image_processor',
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processorNode: CONTROLNET_PROCESSORS.canny_image_processor.buildDefaults() as RequiredCannyImageProcessorInvocation,
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shouldAutoConfig: true,
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@ -37,9 +35,7 @@ export const initialT2IAdapter: Omit<T2IAdapterConfig, 'id'> = {
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endStepPct: 1,
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resizeMode: 'just_resize',
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controlImage: null,
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controlImageDimensions: null,
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processedControlImage: null,
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processedControlImageDimensions: null,
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processorType: 'canny_image_processor',
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processorNode: CONTROLNET_PROCESSORS.canny_image_processor.buildDefaults() as RequiredCannyImageProcessorInvocation,
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shouldAutoConfig: true,
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@ -286,9 +286,7 @@ const parseControlNet: MetadataParseFunc<ControlNetConfigMetadata> = async (meta
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controlMode: control_mode ?? initialControlNet.controlMode,
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resizeMode: resize_mode ?? initialControlNet.resizeMode,
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controlImage: image?.image_name ?? null,
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controlImageDimensions: null,
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processedControlImage: processedImage?.image_name ?? null,
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processedControlImageDimensions: null,
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processorType,
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processorNode,
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shouldAutoConfig: true,
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@ -352,11 +350,9 @@ const parseT2IAdapter: MetadataParseFunc<T2IAdapterConfigMetadata> = async (meta
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endStepPct: end_step_percent ?? initialT2IAdapter.endStepPct,
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resizeMode: resize_mode ?? initialT2IAdapter.resizeMode,
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controlImage: image?.image_name ?? null,
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controlImageDimensions: null,
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processedControlImage: processedImage?.image_name ?? null,
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processedControlImageDimensions: null,
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processorNode,
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processorType,
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processorNode,
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shouldAutoConfig: true,
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id: uuidv4(),
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};
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