Upscayl lets you enlarge and enhance low-resolution images using advanced AI algorithms. Enlarge images without losing quality. It's almost like magic! 🎩🪄
Upscayl is a cross-platform application built with the Linux-first philosophy. This means that Linux users receive pre-release builds earlier, but Upscayl itself is available on all major desktop operating systems :)
Important
You'll need a Vulkan compatible GPU to upscale images. Many CPU and iGPUs do not work but no harm in trying.
Upscayl should be available on the software listings of most Linux operating systems. Your distro's Store app might also support the Flatpak or Snap version.
- Go to releases section
- Download the
upscayl-x.x.x-linux.AppImagefile. - Right Click AppImage -> Go to Permissions tab -> Check 'allow file to execute' and then double click the file to run Upscayl.
You can also choose to install using other formats like RPM (Fedora), DEB (Debian/Ubuntu based), and ZIP (Any Linux OS).
- Go to releases section
- Download the
upscayl-x.x.x-mac.dmgfile. - Double click dmg, drag Upscayl icon into Applications folder.
- Open Finder, click 'Applications' tab in the left sidebar. Find Upscayl and right click on it. Select 'Open'.
- In the window that appears, press 'Open' yet again.
(Windows 10 and later)
- Go to releases section
- Download the
.exefile. - Double click exe file, wait for installation, profit.
Check out our Wiki here.
Check out Upscayl before/after comparisons here.
You can track all the progress here: https://github.com/orgs/upscayl/projects/1
- Fix bugs
- Make the whole world use FOSS (WIP 🚧)
I recommend using Volta: https://volta.sh for installing Node.js.
Download and install volta, then do: volta install node.
Note
If you are not willing to install git, you can skip the first line, download the source zip and extract it to upscayl instead and carry on with the rest of the instructions.
git clone https://github.com/upscayl/upscayl
cd upscayl
# INSTALL DEPENDENCIES
npm install
# RUN THE DEVELOPMENT SERVER LOCALLY
## YOUR LOGS WILL NOW APPEAR IN THE TERMINAL
npm run start# INSTALL DEPENDENCIES
npm install
# PACKAGE THE APP
npm run dist
# PUBLISH THE APP, MAKE SURE TO ADD GH_TOKEN= IN SHELL
npm run publish-app- How does Upscayl work?
- Upscayl uses AI models to enhance your images by guessing what the details could be. It uses Real-ESRGAN to achieve this.
- Is there a CLI available?
- The CLI tool is called real-esrgan-ncnn-vulkan and it's available on the Real-ESRGAN repository.
- Do I need a GPU for this to work?
- Yes, unfortunately. NCNN Vulkan requires a Vulkan-compatible GPU. Upscayl won't work with most iGPUs or CPUs. But hey, no harm in trying ;)
- @Wyrdgirn has contributed a workaround for Windows and Linux in #390! Nobody knows how to manipulate the macOS and Haiku frameworks...
- Yes, unfortunately. NCNN Vulkan requires a Vulkan-compatible GPU. Upscayl won't work with most iGPUs or CPUs. But hey, no harm in trying ;)
- How can I contribute?
- You can report issues, fix code and add features by submitting PRs, or donate! 😊
- What's the GPU ID for?
- It is for selecting which GPU to use. The specific procedure is detailed in the Wiki.
- Note that for Windows systems, if Upscayl is not set to performance mode, the system may override this setting.
- It is for selecting which GPU to use. The specific procedure is detailed in the Wiki.
- You are not fully open source!!😡
- We are! We're using completely free and open-source tech. We do ship a binary, but that's because not including it would kill the entire purpose of the project. If you want to deal with all those PyTorch, NCNN, and Python errors, you're more than welcome to compile your own binary using the code provided by Real-ESRGAN. The binary is pre-compiled for convenience; if you do not trust it, then you can compile your own since everything is free and open source here 😁
- Where do I find more models?
- More models can be taken from here: https://github.com/upscayl/custom-models/
Upscayl uses Real-ESRGAN-ncnn-vulkan binaries to upscale images.
- Real-ESRGAN for their wonderful research work. Real-ESRGAN: Copyright (c) 2021, Xintao Wang
- @JanDeDinoMan, @xanderfrangos, @Fdawgs, @keturn for their code contributions :)
- @aaronliu0130 for providing community support :)
- Foolhardy for their Remacri model.
- Kim2091 for their Ultrasharp and Ultramix Balanced model.
- NicKoehler for the amazing logo.
Copyright © 2023 - Upscayl
By Nayam Amarshe and TGS963
Made with 🖱 & ⌨