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feat(ui): get processed images back into controlnet ui

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psychedelicious
2023-06-01 20:47:22 +10:00
parent fa4d88e163
commit 94c953deab
7 changed files with 191 additions and 52 deletions
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32
invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
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@ -1,15 +1,13 @@
import { startAppListening } from '..';
import { imageMetadataReceived, imageUploaded } from 'services/thunks/image';
import { addToast } from 'features/system/store/systemSlice';
import { imageMetadataReceived } from 'services/thunks/image';
import { log } from 'app/logging/useLogger';
import { controlNetImageProcessed } from 'features/controlNet/store/actions';
import { Graph } from 'services/api';
import { sessionCreated } from 'services/thunks/session';
import { sessionReadyToInvoke } from 'features/system/store/actions';
import { appSocketInvocationComplete } from 'services/events/actions';
import { socketInvocationComplete } from 'services/events/actions';
import { isImageOutput } from 'services/types/guards';
import { controlNetProcessedImageChanged } from 'features/controlNet/store/controlNetSlice';
import { selectImagesById } from 'features/gallery/store/imagesSlice';
const moduleLog = log.child({ namespace: 'controlNet' });
@ -18,27 +16,36 @@ export const addControlNetImageProcessedListener = () => {
actionCreator: controlNetImageProcessed,
effect: async (action, { dispatch, getState, take }) => {
const { controlNetId, processorNode } = action.payload;
const { id } = processorNode;
// ControlNet one-off procressing graph is just he processor node, no edges
const graph: Graph = {
nodes: { [id]: processorNode },
nodes: { [processorNode.id]: processorNode },
};
// Create a session to run the graph & wait til it's ready to invoke
const sessionCreatedAction = dispatch(sessionCreated({ graph }));
const [sessionCreatedFulfilledAction] = await take(
(action): action is ReturnType<typeof sessionCreated.fulfilled> =>
sessionCreated.fulfilled.match(action) &&
action.meta.requestId === sessionCreatedAction.requestId
);
const sessionId = sessionCreatedFulfilledAction.payload.id;
// Invoke the session & wait til it's complete
dispatch(sessionReadyToInvoke());
const [processorAction] = await take(
(action): action is ReturnType<typeof appSocketInvocationComplete> =>
appSocketInvocationComplete.match(action) &&
const [invocationCompleteAction] = await take(
(action): action is ReturnType<typeof socketInvocationComplete> =>
socketInvocationComplete.match(action) &&
action.payload.data.graph_execution_state_id === sessionId
);
if (isImageOutput(processorAction.payload.data.result)) {
const { image_name } = processorAction.payload.data.result.image;
// We still have to check the output type
if (isImageOutput(invocationCompleteAction.payload.data.result)) {
const { image_name } =
invocationCompleteAction.payload.data.result.image;
// Wait for the ImageDTO to be received
const [imageMetadataReceivedAction] = await take(
(
action
@ -46,8 +53,9 @@ export const addControlNetImageProcessedListener = () => {
imageMetadataReceived.fulfilled.match(action) &&
action.payload.image_name === image_name
);
const processedControlImage = imageMetadataReceivedAction.payload;
// Update the processed image in the store
dispatch(
controlNetProcessedImageChanged({
controlNetId,