# v2.5 is out! Upscayl hits 1 million downloads!

# 🆙 Upscayl #### Free and Open Source AI Image Upscaler Upscayl lets you enlarge and enhance low-resolution images using advanced AI algorithms. 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 :) **https://upscayl.org** ![216shots_so](https://github.com/upscayl/upscayl/assets/25067102/ca4c118b-2b9a-4652-adc3-871e1cd19ecc) ```diff - NOTE: You'll need a Vulkan compatible GPU to upscale images. Many CPU and iGPUs do not work but no harm in trying. ```

# 👨‍💻 Installation ### 🐧 Linux

Upscayl should be available on the Software Store of most Linux operating systems. You can download the [Flatpak](https://flatpak.org/setup) or Snap version, if your distro's Store App supports them. #### Portable Method 1. Go to [releases section](https://github.com/upscayl/upscayl/releases/latest) 2. Download the `upscayl-x.x.x-linux.AppImage` file. 3. 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).* ### 🍎 MacOS 1. Go to [releases section](https://github.com/TGS963/upscayl/releases/latest) 2. Download the `.dmg` file. 3. Double click dmg, drag Upscayl icon into Applications folder. *If you encounter an error with opening the application, try Ctrl+Clicking/Right-clicking the app and clicking open. In the popup that opens, also click open.* ### 🐌 Windows 1. Go to [releases section](https://github.com/TGS963/upscayl/releases/latest) 2. Download the `.exe` file. 3. Double click exe file, wait for installation, profit. # 👨‍🏫 Wiki - Tutorials and Guides Check out our Wiki [here](https://github.com/upscayl/upscayl/wiki/Guide). # ⚖️ Results Check out Upscayl before/after comparisons [here](COMPARISONS.MD). # 🤫 Roadmap You can track all the progress here: https://github.com/orgs/upscayl/projects/1 - Fix bugs - Make the whole world use FOSS (WIP 🚧) # 🛠 Development I recommend using Volta: https://volta.sh for installing Node.js. Download and install volta, then do: `volta install node`. ```bash # FOR EVERYONE 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 dev # FOR DEVS ## PACKAGE THE APP npm run dist ## PUBLISH THE APP, MAKE SURE TO ADD GH_TOKEN= IN SHELL npm run publish-app ``` # 🤓 FAQ - 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 ;) - Why does batch upscaling output JPGs instead of PNGs? - This is an issue with REAL-ERSGAN currently tracked [here](https://github.com/upscayl/upscayl/issues/174). - How can I contribute? - You can fix code, add features by submitting PRs, report issues or donate :) - What's the GPU ID for? - Read 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 :) Upscayl uses Real-ESRGAN-ncnn-vulkan binaries to upscale images. More models and algorithms will come soon. # 🎁 Donate

# ❤ Credits - Real-ESRGAN for their wonderful research work. [Real-ESRGAN: Copyright (c) 2021, Xintao Wang](https://github.com/xinntao/Real-ESRGAN/) - @JanDeDinoMan, @xanderfrangos, @Fdawgs, @keturn for their code contributions :) - @aaronliu0130 for providing community support :) - Foolhardy for their [Remacri model](https://upscale.wiki/wiki/Model_Database). - [Kim2091](https://upscale.wiki/wiki/User:Kim2091) for their [Ultrasharp and Ultramix Balanced model](https://upscale.wiki/wiki/Model_Database). #