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upscayl/electron/commands/image-upscayl.ts
Nayam Amarshe fed423f73f Fix #646
2024-02-09 18:28:19 +05:30

215 lines
6.3 KiB
TypeScript

import fs from "fs";
import { modelsPath } from "../utils/get-resource-paths";
import COMMAND from "../../common/commands";
import {
compression,
customModelsFolderPath,
customWidth,
folderPath,
noImageProcessing,
outputFolderPath,
saveOutputFolder,
setChildProcesses,
setCompression,
setNoImageProcessing,
setStopped,
stopped,
useCustomWidth,
} from "../utils/config-variables";
import convertAndScale from "../utils/convert-and-scale";
import { getSingleImageArguments } from "../utils/get-arguments";
import logit from "../utils/logit";
import slash from "../utils/slash";
import { spawnUpscayl } from "../utils/spawn-upscayl";
import { parse } from "path";
import { getMainWindow } from "../main-window";
import { ImageUpscaylPayload } from "../../common/types/types";
import { ImageFormat } from "../utils/types";
import getModelScale from "../../common/check-model-scale";
import removeFileExtension from "../utils/remove-file-extension";
import showNotification from "../utils/show-notification";
import { DEFAULT_MODELS } from "../../common/models-list";
const imageUpscayl = async (event, payload: ImageUpscaylPayload) => {
const mainWindow = getMainWindow();
if (!mainWindow) {
logit("No main window found");
return;
}
setNoImageProcessing(payload.noImageProcessing);
setCompression(parseInt(payload.compression));
const model = payload.model as string;
const gpuId = payload.gpuId as string;
const saveImageAs = payload.saveImageAs as ImageFormat;
console.log("🚀 => saveImageAs:", saveImageAs);
const overwrite = payload.overwrite as boolean;
let inputDir = (payload.imagePath.match(/(.*)[\/\\]/)?.[1] || "") as string;
let outputDir: string | undefined =
folderPath || (payload.outputPath as string);
if (saveOutputFolder === true && outputFolderPath) {
outputDir = outputFolderPath;
}
const isDefaultModel = DEFAULT_MODELS.includes(model);
logit("Is Default Model? : ", isDefaultModel);
const fullfileName = payload.imagePath.replace(/^.*[\\\/]/, "") as string;
const fileName = parse(fullfileName).name;
const fileExt = parse(fullfileName).ext;
let initialScale = getModelScale(model);
const desiredScale = useCustomWidth
? customWidth || payload.scale
: payload.scale;
const outFile =
outputDir +
slash +
fileName +
"_upscayl_" +
(noImageProcessing ? initialScale : desiredScale) +
(useCustomWidth ? "px_" : "x_") +
model +
"." +
saveImageAs;
// UPSCALE
if (fs.existsSync(outFile) && !overwrite) {
// If already upscayled, just output that file
logit("✅ Already upscayled at: ", outFile);
mainWindow.webContents.send(
COMMAND.UPSCAYL_DONE,
outFile.replace(
/([^/\\]+)$/i,
encodeURIComponent(outFile.match(/[^/\\]+$/i)![0]),
),
);
} else {
logit(
"✅ Upscayl Variables: ",
JSON.stringify({
model,
gpuId,
saveImageAs,
inputDir,
outputDir,
fullfileName,
fileName,
initialScale: initialScale,
desiredScale,
outFile,
compression,
}),
);
const upscayl = spawnUpscayl(
getSingleImageArguments(
inputDir,
fullfileName,
outFile,
isDefaultModel ? modelsPath : customModelsFolderPath ?? modelsPath,
model,
initialScale,
gpuId,
saveImageAs,
),
logit,
);
setChildProcesses(upscayl);
setStopped(false);
let isAlpha = false;
let failed = false;
const onData = (data: string) => {
logit("image upscayl: ", data.toString());
mainWindow.setProgressBar(parseFloat(data.slice(0, data.length)) / 100);
data = data.toString();
mainWindow.webContents.send(COMMAND.UPSCAYL_PROGRESS, data.toString());
if (data.includes("invalid gpu") || data.includes("failed")) {
logit("❌ INVALID GPU OR FAILED");
upscayl.kill();
failed = true;
}
if (data.includes("has alpha channel")) {
logit("📢 INCLUDES ALPHA CHANNEL, CHANGING OUTFILE NAME!");
isAlpha = true;
}
};
const onError = (data) => {
if (!mainWindow) return;
mainWindow.setProgressBar(-1);
mainWindow.webContents.send(COMMAND.UPSCAYL_PROGRESS, data.toString());
failed = true;
upscayl.kill();
return;
};
const onClose = async () => {
if (!failed && !stopped) {
logit("💯 Done upscaling");
logit("♻ Scaling and converting now...");
if (noImageProcessing) {
logit("🚫 Skipping scaling and converting");
mainWindow.setProgressBar(-1);
mainWindow.webContents.send(
COMMAND.UPSCAYL_DONE,
outFile.replace(
/([^/\\]+)$/i,
encodeURIComponent(outFile.match(/[^/\\]+$/i)![0]),
),
);
return;
}
mainWindow.webContents.send(COMMAND.SCALING_AND_CONVERTING);
// Free up memory
upscayl.kill();
try {
await convertAndScale(
inputDir + slash + fullfileName,
isAlpha ? outFile + ".png" : outFile,
outFile,
desiredScale,
saveImageAs,
);
if (isAlpha && saveImageAs === "jpg") {
fs.unlinkSync(outFile + ".png");
}
mainWindow.setProgressBar(-1);
mainWindow.webContents.send(
COMMAND.UPSCAYL_DONE,
outFile.replace(
/([^/\\]+)$/i,
encodeURIComponent(outFile.match(/[^/\\]+$/i)![0]),
),
);
showNotification("Upscayl", "Image upscayled successfully!");
} catch (error) {
logit(
"❌ Error processing (scaling and converting) the image. Please report this error on GitHub.",
error,
);
upscayl.kill();
mainWindow.webContents.send(
COMMAND.UPSCAYL_ERROR,
"Error processing (scaling and converting) the image. Please report this error on Upscayl GitHub Issues page.\n" +
error,
);
showNotification("Upscayl Failure", "Failed to upscale image!");
}
}
};
upscayl.process.stderr.on("data", onData);
upscayl.process.on("error", onError);
upscayl.process.on("close", onClose);
}
};
export default imageUpscayl;