![]() 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. We do ship a binary but that's because not including it would kill the entire purpose of the project. We are, we're using completely free and open source tech.You can donate more NCNN compatible models or fix code by submitting PRs :).NCNN Vulkan requires a Vulkan compatible GPU. The CLI tool is called real-esrgan-ncnn-vulkan and it's available on the Real-ESRGAN repository.It uses Real-ESRGAN (and more in the future) model to achieve this. Upscayl uses AI models to enhance your images by guessing what the details could be.# PUBLISH THE APP, MAKE SURE TO ADD GH_TOKEN= IN SHELL ![]() Super Low Resolution Images (75 pixels wide): UPSCALED TWICE MacOS □ĭouble click dmg, drag Upscayl icon into Applications folder.ĭouble click exe file, wait for installation, profit.Ĭomparisons: Medium Resolution Images (300-400 pixels wide): 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. Right Click AppImage -> Go to Permissions tab -> Check allow file to execute and then double click the file to run Upscayl. You'll need a Vulkan compatible GPU to upscale images. ![]() This means that we prioritize Linux builds over others but that doesn't mean we'll break things for other OSes :) NOTE: Upscayl does not work without a GPU, sorry. Upscayl is a cross-platform application built with the Linux-first philosophy. Upscayl □ Free and Open Source AI Image Upscaler 4 ![]()
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