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**Upscayl is a cross-platform application built with the Linux-first philosophy. This means that we prioritize Linux builds over others but that doesn't mean we'll break things for other OSes :)**
1. Go to [releases section](https://github.com/TGS963/upscayl/releases/latest)
2. Download the `.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 download the flatpak version and double click the flatpak file to install via Store but wait for the full release, we'll be pushing it to Flathub for easy access.
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.
- Upscayl uses AI models to enhance your images by guessing what the details could be. It uses Real-ESRGAN (and more in the future) model 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.
- You can fix code, add features by submitting PRs, report issues or donate :)
- What's the GPU ID for?
- To find your GPU ID, you first need to launch Upscayl using the commandline and Upscayl an image. In the console output, you can see the GPUs that have been detected: 
As you can notice, 0 is the AMD iGPU, 1 is the Nvidia GPU, and 2 is the llvmpipe. If I set my GPU ID to 0, it'll always upscayl images with AMD iGPU (CPU) instead of dedicated GPU.
- 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 :)
