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https://github.com/invoke-ai/InvokeAI
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handle simple upscale models on modelsLoaded
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@ -10,7 +10,7 @@ import { heightChanged, widthChanged } from 'features/controlLayers/store/contro
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import { loraRemoved } from 'features/lora/store/loraSlice';
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import { calculateNewSize } from 'features/parameters/components/ImageSize/calculateNewSize';
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import { modelChanged, vaeSelected } from 'features/parameters/store/generationSlice';
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import { upscaleModelChanged } from 'features/parameters/store/upscaleSlice';
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import { simpleUpscaleModelChanged, upscaleModelChanged } from 'features/parameters/store/upscaleSlice';
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import { zParameterModel, zParameterVAEModel } from 'features/parameters/types/parameterSchemas';
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import { getIsSizeOptimal, getOptimalDimension } from 'features/parameters/util/optimalDimension';
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import { refinerModelChanged } from 'features/sdxl/store/sdxlSlice';
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@ -43,6 +43,7 @@ export const addModelsLoadedListener = (startAppListening: AppStartListening) =>
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handleLoRAModels(models, state, dispatch, log);
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handleControlAdapterModels(models, state, dispatch, log);
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handleSpandrelImageToImageModels(models, state, dispatch, log);
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handleSimpleUpscaleModels(models, state, dispatch, log);
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},
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});
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};
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@ -204,3 +205,23 @@ const handleSpandrelImageToImageModels: ModelHandler = (models, state, dispatch,
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dispatch(upscaleModelChanged(null));
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};
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const handleSimpleUpscaleModels: ModelHandler = (models, state, dispatch, _log) => {
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const currentSimpleUpscaleModel = state.upscale.simpleUpscaleModel;
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const upscaleModels = models.filter(isSpandrelImageToImageModelConfig);
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if (currentSimpleUpscaleModel) {
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const isCurrentSimpleUpscaleModelAvailable = upscaleModels.some((m) => m.key === currentSimpleUpscaleModel.key);
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if (isCurrentSimpleUpscaleModelAvailable) {
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return;
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}
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}
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const firstModel = upscaleModels[0];
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if (firstModel) {
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dispatch(simpleUpscaleModelChanged(firstModel));
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return;
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}
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dispatch(simpleUpscaleModelChanged(null));
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};
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