Bild
Upscayl
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
★ 50,1 Tsd. SterneAGPL-3.0
Anleitung ansehen →Chaning.G-s-Lrlab ist ein Open-Source-Projekt aus der Kategorie Bild von Guo-chunyu (Guo-chunyu/Chaning.G-s-Lrlab auf GitHub). Es hat 90 Sterne auf GitHub und 7 Forks, wird unter der Lizenz Custom veröffentlicht und wurde zuletzt am 13. Juli 2026 auf GitHub aktualisiert.
This is a professional photography post-processing task flow.
The README documents setup; start with the install section.
Change the config to match your workflow, then run it daily.
Decide what you want Chaning.G-s-Lrlab to do first — this is a professional photography post-processing task flow that inte.
Pull the latest changes to stay current with fixes.
Typed code that is easier to maintain.
Produces ready-to-share images.
Read and audit every line on GitHub.
Fork it and shape it to your needs.
Improved in the open by contributors.
Your data and setup stay yours.
Download the source and move into the project folder.
git clone https://github.com/Guo-chunyu/Chaning.G-s-Lrlab.git
cd chaning-g-s-lrlabInstall the Node dependencies.
npm installStart the app or dev server.
npm startYes, under custom license terms — read the repo's license file for the exact terms.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under Custom. Read the LICENSE file in the repo for the exact terms.
Yes, under custom license terms — read the repo's license file for the exact terms.
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.