{"id":49593354,"url":"https://github.com/khou/upscaler","last_synced_at":"2026-05-10T08:01:42.692Z","repository":{"id":355508015,"uuid":"1228360112","full_name":"khou/upscaler","owner":"khou","description":"Drag-and-drop image upscaler for macOS, powered by Real-ESRGAN. 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Drop PNG/JPEG/WebP images on the app\nicon, pick 2x/3x/4x, and get higher-resolution copies powered by Real-ESRGAN.\n\nNo subscription, no telemetry, no internet connection required after install.\n\n## Install (prebuilt)\n\n1. Download the latest `Upscaler.zip` from [Releases](../../releases).\n2. Unzip and move `Upscaler.app` to `/Applications`.\n3. First launch: right-click the app → **Open** (it's ad-hoc signed, not\n   notarized, so Gatekeeper asks once).\n\n## Use\n\n- Drag images onto the app icon, or double-click the app and pick files.\n- Choose a scale factor.\n- Choose where to save the output.\n- Wait. Each image is saved as `\u003cname\u003e_x\u003cscale\u003e.png`.\n\n## Build from source\n\nRequires macOS with command line tools (no Xcode needed).\n\n```sh\ngit clone https://github.com/khou/upscaler.git\ncd upscaler\nbash scripts/fetch-engine.sh   # downloads upscayl-bin + Real-ESRGAN models\nbash scripts/make-droplet.sh   # produces build/Upscaler.app\nopen build/Upscaler.app\n```\n\n## How it works\n\n`Upscaler.app` is an AppleScript droplet that bundles the\n[upscayl-ncnn](https://github.com/upscayl/upscayl-ncnn) inference binary and\n[Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) model weights inside its\n`Contents/Resources/engine/` directory. When you drop an image, the script\nshells out to the bundled binary, which runs the model on your GPU via Vulkan\n(MoltenVK on macOS).\n\nUniversal binary, so the same `.app` runs natively on both Apple Silicon and\nIntel Macs.\n\n## Licensing\n\nThe wrapper code in this repository is MIT-licensed (see [LICENSE](LICENSE)).\n\nThe bundled inference binary is **AGPLv3** (from the upscayl-ncnn project), so\nany `.app` you build or distribute carries the AGPL obligations of that\nbinary. If you redistribute the built app you must comply with AGPLv3 for the\nbundled engine. The Real-ESRGAN model weights are BSD 3-Clause.\n\nIf you want to distribute commercially without AGPL obligations, swap the\nengine for either the original Real-ESRGAN ncnn binary (BSD 3-Clause, older,\nIntel-only on macOS) or your own ncnn build, and update `scripts/fetch-engine.sh`\naccordingly.\n\n## Why AppleScript\n\nThe first version was a SwiftUI app; it ran into a Swift toolchain skew on\nCommand Line Tools that needs a full Xcode install or a CLT update to fix. An\nAppleScript droplet builds with `osacompile`, which is part of every macOS\ninstall, so anyone can build this repo without installing anything extra.\n\nA native rewrite (likely Rust + egui or Tauri, with on-device ONNX inference\nvia Core ML) is on the roadmap.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhou%2Fupscaler","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkhou%2Fupscaler","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhou%2Fupscaler/lists"}