mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Fixes: outpainting temp images show in gallery
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4382cd0b91
commit
c0ad1b3469
@ -10,7 +10,7 @@ import base64
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import os
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from werkzeug.utils import secure_filename
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from flask import Flask, redirect, send_from_directory, flash, request, url_for, jsonify
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from flask import Flask, redirect, send_from_directory, request, make_response
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from flask_socketio import SocketIO
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from PIL import Image, ImageOps
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from PIL.Image import Image as ImageType
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@ -107,15 +107,22 @@ class InvokeAIWebServer:
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@self.app.route("/upload", methods=["POST"])
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def upload():
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try:
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filename = ""
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# check if the post request has the file part
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if "file" not in request.files:
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return "No file part", 400
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file = request.files["file"]
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# If the user does not select a file, the browser submits an
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# empty file without a filename.
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if file.filename == "":
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return "No selected file", 400
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if "file" in request.files:
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file = request.files["file"]
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# If the user does not select a file, the browser submits an
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# empty file without a filename.
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if file.filename == "":
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return make_response("No file selected", 400)
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filename = file.filename
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elif "dataURL" in request.form:
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file = dataURL_to_bytes(request.form["dataURL"])
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if "filename" not in request.form or request.form["filename"] == "":
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return make_response("No filename provided", 400)
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filename = request.form["filename"]
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else:
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return make_response("No file or dataURL", 400)
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kind = request.form["kind"]
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@ -128,15 +135,15 @@ class InvokeAIWebServer:
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elif kind == "mask":
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path = self.mask_image_path
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else:
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return f"Invalid upload kind: {kind}", 400
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return make_response(f"Invalid upload kind: {kind}", 400)
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if not self.allowed_file(file.filename):
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return (
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if not self.allowed_file(filename):
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return make_response(
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f'Invalid file type, must be one of: {", ".join(self.ALLOWED_EXTENSIONS)}',
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400,
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)
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secured_filename = secure_filename(file.filename)
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secured_filename = secure_filename(filename)
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uuid = uuid4().hex
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truncated_uuid = uuid[:8]
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@ -146,7 +153,11 @@ class InvokeAIWebServer:
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file_path = os.path.join(path, name)
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file.save(file_path)
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if "dataURL" in request.form:
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with open(file_path, "wb") as f:
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f.write(file)
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else:
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file.save(file_path)
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mtime = os.path.getmtime(file_path)
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(width, height) = Image.open(file_path).size
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@ -160,7 +171,7 @@ class InvokeAIWebServer:
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},
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}
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return response, 200
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return make_response(response, 200)
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except Exception as e:
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self.socketio.emit("error", {"message": (str(e))})
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@ -168,7 +179,7 @@ class InvokeAIWebServer:
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traceback.print_exc()
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print("\n")
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return "Error uploading file", 500
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return make_response("Error uploading file", 500)
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self.load_socketio_listeners(self.socketio)
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@ -916,11 +927,18 @@ class InvokeAIWebServer:
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(width, height) = image.size
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generated_image_outdir = (
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self.result_path
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if generation_parameters["generation_mode"]
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in ["txt2img", "img2img"]
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else self.temp_image_path
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)
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path = self.save_result_image(
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image,
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command,
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metadata,
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self.result_path,
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generated_image_outdir,
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postprocessing=postprocessing,
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)
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@ -26,8 +26,8 @@ export const requestNewImages = createAction<GalleryCategory>(
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export const cancelProcessing = createAction<undefined>(
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'socketio/cancelProcessing'
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);
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export const uploadImage = createAction<InvokeAI.UploadImagePayload>('socketio/uploadImage');
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export const uploadMaskImage = createAction<File>('socketio/uploadMaskImage');
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// export const uploadImage = createAction<InvokeAI.UploadImagePayload>('socketio/uploadImage');
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// export const uploadMaskImage = createAction<File>('socketio/uploadMaskImage');
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export const requestSystemConfig = createAction<undefined>(
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'socketio/requestSystemConfig'
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@ -180,13 +180,13 @@ const makeSocketIOEmitters = (
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emitCancelProcessing: () => {
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socketio.emit('cancel');
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},
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emitUploadImage: (payload: InvokeAI.UploadImagePayload) => {
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const { file, destination } = payload;
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socketio.emit('uploadImage', file, file.name, destination);
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},
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emitUploadMaskImage: (file: File) => {
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socketio.emit('uploadMaskImage', file, file.name);
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},
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// emitUploadImage: (payload: InvokeAI.UploadImagePayload) => {
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// const { file, destination } = payload;
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// socketio.emit('uploadImage', file, file.name, destination);
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// },
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// emitUploadMaskImage: (file: File) => {
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// socketio.emit('uploadMaskImage', file, file.name);
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// },
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emitRequestSystemConfig: () => {
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socketio.emit('requestSystemConfig');
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},
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@ -103,20 +103,28 @@ const makeSocketIOListeners = (
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onGenerationResult: (data: InvokeAI.ImageResultResponse) => {
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try {
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const { shouldLoopback, activeTab } = getState().options;
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const { boundingBox: _, generationMode, ...rest } = data;
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const newImage = {
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uuid: uuidv4(),
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...data,
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category: 'result',
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...rest,
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};
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dispatch(
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addImage({
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category: 'result',
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image: newImage,
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})
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);
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if (['txt2img', 'img2img'].includes(generationMode)) {
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newImage.category = 'result';
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dispatch(
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addImage({
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category: 'result',
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image: newImage,
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})
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);
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}
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if (data.generationMode === 'outpainting' && data.boundingBox) {
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if (
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['inpainting', 'outpainting'].includes(generationMode) &&
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data.boundingBox
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) {
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newImage.category = 'temp';
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const { boundingBox } = data;
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dispatch(
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addImageToOutpainting({
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@ -140,6 +148,8 @@ const makeSocketIOListeners = (
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}
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}
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dispatch(clearIntermediateImage());
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dispatch(
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addLogEntry({
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timestamp: dateFormat(new Date(), 'isoDateTime'),
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@ -368,16 +378,16 @@ const makeSocketIOListeners = (
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/**
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* Callback to run when we receive a 'maskImageUploaded' event.
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*/
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onMaskImageUploaded: (data: InvokeAI.ImageUrlResponse) => {
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const { url } = data;
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dispatch(setMaskPath(url));
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dispatch(
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addLogEntry({
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timestamp: dateFormat(new Date(), 'isoDateTime'),
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message: `Mask image uploaded: ${url}`,
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})
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);
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},
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// onMaskImageUploaded: (data: InvokeAI.ImageUrlResponse) => {
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// const { url } = data;
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// dispatch(setMaskPath(url));
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// dispatch(
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// addLogEntry({
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// timestamp: dateFormat(new Date(), 'isoDateTime'),
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// message: `Mask image uploaded: ${url}`,
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// })
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// );
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// },
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onSystemConfig: (data: InvokeAI.SystemConfig) => {
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dispatch(setSystemConfig(data));
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},
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@ -44,7 +44,7 @@ export const socketioMiddleware = () => {
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onProcessingCanceled,
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onImageDeleted,
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// onImageUploaded,
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onMaskImageUploaded,
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// onMaskImageUploaded,
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onSystemConfig,
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onModelChanged,
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onModelChangeFailed,
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@ -58,8 +58,8 @@ export const socketioMiddleware = () => {
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emitRequestImages,
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emitRequestNewImages,
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emitCancelProcessing,
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emitUploadImage,
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emitUploadMaskImage,
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// emitUploadImage,
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// emitUploadMaskImage,
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emitRequestSystemConfig,
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emitRequestModelChange,
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} = makeSocketIOEmitters(store, socketio);
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@ -108,9 +108,9 @@ export const socketioMiddleware = () => {
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// onImageUploaded(data);
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// });
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socketio.on('maskImageUploaded', (data: InvokeAI.ImageUrlResponse) => {
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onMaskImageUploaded(data);
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});
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// socketio.on('maskImageUploaded', (data: InvokeAI.ImageUrlResponse) => {
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// onMaskImageUploaded(data);
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// });
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socketio.on('systemConfig', (data: InvokeAI.SystemConfig) => {
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onSystemConfig(data);
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@ -166,15 +166,15 @@ export const socketioMiddleware = () => {
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break;
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}
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case 'socketio/uploadImage': {
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emitUploadImage(action.payload);
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break;
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}
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// case 'socketio/uploadImage': {
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// emitUploadImage(action.payload);
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// break;
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// }
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case 'socketio/uploadMaskImage': {
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emitUploadMaskImage(action.payload);
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break;
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}
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// case 'socketio/uploadMaskImage': {
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// emitUploadMaskImage(action.payload);
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// break;
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// }
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case 'socketio/requestSystemConfig': {
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emitRequestSystemConfig();
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@ -1,6 +1,6 @@
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import Konva from 'konva';
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const layerToBlob = async (layer: Konva.Layer, stageScale: number) => {
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const layerToDataURL = (layer: Konva.Layer, stageScale: number) => {
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const tempScale = layer.scale();
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const { x: relativeX, y: relativeY } = layer.getClientRect({
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@ -15,12 +15,12 @@ const layerToBlob = async (layer: Konva.Layer, stageScale: number) => {
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const clientRect = layer.getClientRect();
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const blob = await layer.toBlob(clientRect);
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const dataURL = layer.toDataURL(clientRect);
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// Unscale the canvas
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layer.scale(tempScale);
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return { blob, relativeX, relativeY };
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return { dataURL, relativeX, relativeY };
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};
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export default layerToBlob;
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export default layerToDataURL;
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@ -4,7 +4,7 @@ import Konva from 'konva';
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import { MutableRefObject } from 'react';
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import * as InvokeAI from 'app/invokeai';
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import { v4 as uuidv4 } from 'uuid';
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import layerToBlob from './layerToBlob';
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import layerToDataURL from './layerToDataURL';
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export const mergeAndUploadCanvas = createAsyncThunk(
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'canvas/mergeAndUploadCanvas',
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@ -25,16 +25,17 @@ export const mergeAndUploadCanvas = createAsyncThunk(
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if (!canvasImageLayerRef.current) return;
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const { blob, relativeX, relativeY } = await layerToBlob(
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const { dataURL, relativeX, relativeY } = layerToDataURL(
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canvasImageLayerRef.current,
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stageScale
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);
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if (!blob) return;
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if (!dataURL) return;
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const formData = new FormData();
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formData.append('file', blob as Blob, 'merged_canvas.png');
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formData.append('dataURL', dataURL);
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formData.append('filename', 'merged_canvas.png');
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formData.append('kind', saveToGallery ? 'result' : 'temp');
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const response = await fetch(window.location.origin + '/upload', {
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