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fix(ui): convert t2i to cnet and vice-versa when model changes

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psychedelicious 2024-05-02 10:01:43 +10:00 committed by Kent Keirsey
parent 54acd3f2b1
commit 6f572e1cce
2 changed files with 30 additions and 2 deletions
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15
invokeai/frontend/web/src/features/controlLayers/store/controlLayersSlice.ts
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@ -12,7 +12,12 @@ import type {
ProcessorConfig,
T2IAdapterConfig,
} from 'features/controlLayers/util/controlAdapters';
import { buildControlAdapterProcessor, imageDTOToImageWithDims } from 'features/controlLayers/util/controlAdapters';
import {
buildControlAdapterProcessor,
controlNetToT2IAdapter,
imageDTOToImageWithDims,
t2iAdapterToControlNet,
} from 'features/controlLayers/util/controlAdapters';
import { zModelIdentifierField } from 'features/nodes/types/common';
import { calculateNewSize } from 'features/parameters/components/ImageSize/calculateNewSize';
import { initialAspectRatioState } from 'features/parameters/components/ImageSize/constants';
@ -284,6 +289,14 @@ export const controlLayersSlice = createSlice({
return;
}
layer.controlAdapter.model = zModelIdentifierField.parse(modelConfig);
// We may need to convert the CA to match the model
if (layer.controlAdapter.type === 't2i_adapter' && layer.controlAdapter.model.type === 'controlnet') {
layer.controlAdapter = t2iAdapterToControlNet(layer.controlAdapter);
} else if (layer.controlAdapter.type === 'controlnet' && layer.controlAdapter.model.type === 't2i_adapter') {
layer.controlAdapter = controlNetToT2IAdapter(layer.controlAdapter);
}
const candidateProcessorConfig = buildControlAdapterProcessor(modelConfig);
if (candidateProcessorConfig?.type !== layer.controlAdapter.processorConfig?.type) {
// The processor has changed. For example, the previous model was a Canny model and the new model is a Depth

17
invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.ts
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@ -4,7 +4,7 @@ import type {
ParameterIPAdapterModel,
ParameterT2IAdapterModel,
} from 'features/parameters/types/parameterSchemas';
import { merge } from 'lodash-es';
import { merge, omit } from 'lodash-es';
import type {
BaseModelType,
CannyImageProcessorInvocation,
@ -466,3 +466,18 @@ export const imageDTOToImageWithDims = ({ image_name, width, height }: ImageDTO)
width,
height,
});
export const t2iAdapterToControlNet = (t2iAdapter: T2IAdapterConfig): ControlNetConfig => {
return {
...deepClone(t2iAdapter),
type: 'controlnet',
controlMode: initialControlNet.controlMode,
};
};
export const controlNetToT2IAdapter = (controlNet: ControlNetConfig): T2IAdapterConfig => {
return {
...omit(deepClone(controlNet), 'controlMode'),
type: 't2i_adapter',
};
};