mirror of
https://github.com/upscayl/upscayl.git
synced 2024-11-14 18:57:41 +01:00
223 lines
6.6 KiB
TypeScript
223 lines
6.6 KiB
TypeScript
import fs from "fs";
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import { modelsPath } from "../utils/get-resource-paths";
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import COMMAND from "../../common/commands";
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import {
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compression,
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customModelsFolderPath,
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customWidth,
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folderPath,
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noImageProcessing,
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outputFolderPath,
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saveOutputFolder,
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setChildProcesses,
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setCompression,
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setNoImageProcessing,
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setStopped,
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stopped,
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useCustomWidth,
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} from "../utils/config-variables";
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import convertAndScale from "../utils/convert-and-scale";
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import { getSingleImageArguments } from "../utils/get-arguments";
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import logit from "../utils/logit";
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import slash from "../utils/slash";
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import { spawnUpscayl } from "../utils/spawn-upscayl";
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import { parse } from "path";
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import { getMainWindow } from "../main-window";
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import { ImageUpscaylPayload } from "../../common/types/types";
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import { ImageFormat } from "../utils/types";
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import getModelScale from "../../common/check-model-scale";
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import removeFileExtension from "../utils/remove-file-extension";
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import showNotification from "../utils/show-notification";
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import { DEFAULT_MODELS } from "../../common/models-list";
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const imageUpscayl = async (event, payload: ImageUpscaylPayload) => {
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const mainWindow = getMainWindow();
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if (!mainWindow) {
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logit("No main window found");
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return;
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}
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setNoImageProcessing(payload.noImageProcessing);
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setCompression(parseInt(payload.compression));
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const model = payload.model as string;
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const gpuId = payload.gpuId as string;
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const saveImageAs = payload.saveImageAs as ImageFormat;
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console.log("🚀 => saveImageAs:", saveImageAs);
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const overwrite = payload.overwrite as boolean;
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let inputDir = (payload.imagePath.match(/(.*)[\/\\]/)?.[1] || "") as string;
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let outputDir: string | undefined =
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folderPath || (payload.outputPath as string);
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if (saveOutputFolder === true && outputFolderPath) {
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outputDir = outputFolderPath;
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}
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const isDefaultModel = DEFAULT_MODELS.includes(model);
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logit("Is Default Model? : ", isDefaultModel);
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const fullfileName = payload.imagePath.replace(/^.*[\\\/]/, "") as string;
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const fileName = parse(fullfileName).name;
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const fileExt = parse(fullfileName).ext;
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let initialScale = getModelScale(model);
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const desiredScale = useCustomWidth
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? customWidth || payload.scale
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: payload.scale;
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const outFile =
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outputDir +
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slash +
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fileName +
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"_upscayl_" +
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(noImageProcessing ? initialScale : desiredScale) +
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(useCustomWidth ? "px_" : "x_") +
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model +
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"." +
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saveImageAs;
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// UPSCALE
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if (fs.existsSync(outFile) && !overwrite) {
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// If already upscayled, just output that file
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logit("✅ Already upscayled at: ", outFile);
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mainWindow.webContents.send(
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COMMAND.UPSCAYL_DONE,
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outFile.replace(
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/([^/\\]+)$/i,
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encodeURIComponent(outFile.match(/[^/\\]+$/i)![0]),
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),
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);
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} else {
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logit(
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"✅ Upscayl Variables: ",
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JSON.stringify({
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model,
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gpuId,
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saveImageAs,
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inputDir,
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outputDir,
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fullfileName,
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fileName,
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initialScale: initialScale,
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desiredScale,
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outFile,
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compression,
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}),
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);
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const upscayl = spawnUpscayl(
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getSingleImageArguments(
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inputDir,
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fullfileName,
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outFile,
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isDefaultModel ? modelsPath : customModelsFolderPath ?? modelsPath,
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model,
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initialScale,
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gpuId,
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saveImageAs,
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),
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logit,
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);
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setChildProcesses(upscayl);
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setStopped(false);
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let isAlpha = false;
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let failed = false;
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const onData = (data: string) => {
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logit("image upscayl: ", data.toString());
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mainWindow.setProgressBar(parseFloat(data.slice(0, data.length)) / 100);
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data = data.toString();
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mainWindow.webContents.send(COMMAND.UPSCAYL_PROGRESS, data.toString());
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if (data.includes("invalid gpu") || data.includes("failed")) {
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logit("❌ INVALID GPU OR FAILED");
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upscayl.kill();
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failed = true;
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}
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if (data.includes("has alpha channel")) {
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logit("📢 INCLUDES ALPHA CHANNEL, CHANGING OUTFILE NAME!");
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isAlpha = true;
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}
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};
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const onError = (data) => {
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if (!mainWindow) return;
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mainWindow.setProgressBar(-1);
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mainWindow.webContents.send(COMMAND.UPSCAYL_PROGRESS, data.toString());
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failed = true;
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upscayl.kill();
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return;
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};
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const onClose = async () => {
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if (!failed && !stopped) {
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logit("💯 Done upscaling");
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logit("♻ Scaling and converting now...");
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if (noImageProcessing) {
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logit("🚫 Skipping scaling and converting");
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mainWindow.setProgressBar(-1);
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mainWindow.webContents.send(
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COMMAND.UPSCAYL_DONE,
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outFile.replace(
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/([^/\\]+)$/i,
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encodeURIComponent(outFile.match(/[^/\\]+$/i)![0]),
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),
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);
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return;
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}
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mainWindow.webContents.send(COMMAND.SCALING_AND_CONVERTING);
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// Free up memory
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upscayl.kill();
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try {
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await convertAndScale(
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inputDir + slash + fullfileName,
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isAlpha ? outFile + ".png" : outFile,
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outFile,
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desiredScale,
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saveImageAs,
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);
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// Remove the png file (default) if the saveImageAs is not png
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// fs.access(
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// removeFileExtension(outFile) + ".png",
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// fs.constants.F_OK,
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// (err) => {
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// if (!err && saveImageAs !== "png") {
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// logit("🗑 Removing png file");
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// fs.unlinkSync(removeFileExtension(outFile) + ".png");
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// }
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// }
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// );
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mainWindow.setProgressBar(-1);
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mainWindow.webContents.send(
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COMMAND.UPSCAYL_DONE,
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outFile.replace(
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/([^/\\]+)$/i,
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encodeURIComponent(outFile.match(/[^/\\]+$/i)![0]),
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),
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);
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showNotification("Upscayl", "Image upscayled successfully!");
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} catch (error) {
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logit(
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"❌ Error processing (scaling and converting) the image. Please report this error on GitHub.",
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error,
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);
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upscayl.kill();
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mainWindow.webContents.send(
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COMMAND.UPSCAYL_ERROR,
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"Error processing (scaling and converting) the image. Please report this error on Upscayl GitHub Issues page.\n" +
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error,
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);
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showNotification("Upscayl Failure", "Failed to upscale image!");
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}
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}
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};
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upscayl.process.stderr.on("data", onData);
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upscayl.process.on("error", onError);
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upscayl.process.on("close", onClose);
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}
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};
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export default imageUpscayl;
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