2022-10-29 03:54:46 +11:00

201 lines
6.4 KiB
TypeScript

import { AnyAction, Dispatch, MiddlewareAPI } from '@reduxjs/toolkit';
import dateFormat from 'dateformat';
import { Socket } from 'socket.io-client';
import {
frontendToBackendParameters,
FrontendToBackendParametersConfig,
} from '../../common/util/parameterTranslation';
import {
GalleryCategory,
GalleryState,
} from '../../features/gallery/gallerySlice';
import { OptionsState } from '../../features/options/optionsSlice';
import {
addLogEntry,
errorOccurred,
setCurrentStatus,
setIsCancelable,
setIsProcessing,
} from '../../features/system/systemSlice';
import { inpaintingImageElementRef } from '../../features/tabs/Inpainting/InpaintingCanvas';
import { InvokeTabName } from '../../features/tabs/InvokeTabs';
import * as InvokeAI from '../invokeai';
import { RootState } from '../store';
/**
* Returns an object containing all functions which use `socketio.emit()`.
* i.e. those which make server requests.
*/
const makeSocketIOEmitters = (
store: MiddlewareAPI<Dispatch<AnyAction>, any>,
socketio: Socket
) => {
// We need to dispatch actions to redux and get pieces of state from the store.
const { dispatch, getState } = store;
return {
emitGenerateImage: (generationMode: InvokeTabName) => {
dispatch(setIsProcessing(true));
const state: RootState = getState();
const {
options: optionsState,
system: systemState,
inpainting: inpaintingState,
gallery: galleryState,
} = state;
const frontendToBackendParametersConfig: FrontendToBackendParametersConfig =
{
generationMode,
optionsState,
inpaintingState,
systemState,
};
if (generationMode === 'inpainting') {
if (
!inpaintingImageElementRef.current ||
!inpaintingState.imageToInpaint?.url
) {
dispatch(
addLogEntry({
timestamp: dateFormat(new Date(), 'isoDateTime'),
message: 'Inpainting image not loaded, cannot generate image.',
level: 'error',
})
);
dispatch(errorOccurred());
return;
}
frontendToBackendParametersConfig.imageToProcessUrl =
inpaintingState.imageToInpaint.url;
frontendToBackendParametersConfig.maskImageElement =
inpaintingImageElementRef.current;
} else if (!['txt2img', 'img2img'].includes(generationMode)) {
if (!galleryState.currentImage?.url) return;
frontendToBackendParametersConfig.imageToProcessUrl =
galleryState.currentImage.url;
}
const { generationParameters, esrganParameters, facetoolParameters } =
frontendToBackendParameters(frontendToBackendParametersConfig);
socketio.emit(
'generateImage',
generationParameters,
esrganParameters,
facetoolParameters
);
// we need to truncate the init_mask base64 else it takes up the whole log
// TODO: handle maintaining masks for reproducibility in future
if (generationParameters.init_mask) {
generationParameters.init_mask = generationParameters.init_mask
.substr(0, 20)
.concat('...');
}
dispatch(
addLogEntry({
timestamp: dateFormat(new Date(), 'isoDateTime'),
message: `Image generation requested: ${JSON.stringify({
...generationParameters,
...esrganParameters,
...facetoolParameters,
})}`,
})
);
},
emitRunESRGAN: (imageToProcess: InvokeAI.Image) => {
dispatch(setIsProcessing(true));
const options: OptionsState = getState().options;
const { upscalingLevel, upscalingStrength } = options;
const esrganParameters = {
upscale: [upscalingLevel, upscalingStrength],
};
socketio.emit('runPostprocessing', imageToProcess, {
type: 'esrgan',
...esrganParameters,
});
dispatch(
addLogEntry({
timestamp: dateFormat(new Date(), 'isoDateTime'),
message: `ESRGAN upscale requested: ${JSON.stringify({
file: imageToProcess.url,
...esrganParameters,
})}`,
})
);
},
emitRunFacetool: (imageToProcess: InvokeAI.Image) => {
dispatch(setIsProcessing(true));
const options: OptionsState = getState().options;
const { facetoolType, facetoolStrength, codeformerFidelity } = options;
const facetoolParameters: Record<string, any> = {
facetool_strength: facetoolStrength,
};
if (facetoolType === 'codeformer') {
facetoolParameters.codeformer_fidelity = codeformerFidelity;
}
socketio.emit('runPostprocessing', imageToProcess, {
type: facetoolType,
...facetoolParameters,
});
dispatch(
addLogEntry({
timestamp: dateFormat(new Date(), 'isoDateTime'),
message: `Face restoration (${facetoolType}) requested: ${JSON.stringify(
{
file: imageToProcess.url,
...facetoolParameters,
}
)}`,
})
);
},
emitDeleteImage: (imageToDelete: InvokeAI.Image) => {
const { url, uuid, category } = imageToDelete;
socketio.emit('deleteImage', url, uuid, category);
},
emitRequestImages: (category: GalleryCategory) => {
const gallery: GalleryState = getState().gallery;
const { earliest_mtime } = gallery.categories[category];
socketio.emit('requestImages', category, earliest_mtime);
},
emitRequestNewImages: (category: GalleryCategory) => {
const gallery: GalleryState = getState().gallery;
const { latest_mtime } = gallery.categories[category];
socketio.emit('requestLatestImages', category, latest_mtime);
},
emitCancelProcessing: () => {
socketio.emit('cancel');
},
emitUploadImage: (payload: InvokeAI.UploadImagePayload) => {
const { file, destination } = payload;
socketio.emit('uploadImage', file, file.name, destination);
},
emitUploadMaskImage: (file: File) => {
socketio.emit('uploadMaskImage', file, file.name);
},
emitRequestSystemConfig: () => {
socketio.emit('requestSystemConfig');
},
emitRequestModelChange: (modelName: string) => {
dispatch(setCurrentStatus('Changing Model'));
dispatch(setIsProcessing(true));
dispatch(setIsCancelable(false));
socketio.emit('requestModelChange', modelName);
},
};
};
export default makeSocketIOEmitters;