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- QualityScaler
On the recordRead 10 Oct 202619 facts
QualityScaler
On the record
- Batch processing
- Yesgithub.com · read 20 Sep 2026
- Distribution
- The repository's tags page lists downloadable ZIP and tar.gz archives for releases, including QualityScaler 2026.2.github.com · read 10 Oct 2026
- GPU support
- The app supports multiple GPUs and requires a DirectX 12 compatible GPU with at least 4 GB of VRAM.github.com · read 10 Oct 2026
- Image and video formats
- It supports JPG, PNG, TIF, BMP, WEBP and HEIC images, and MP4, WEBM, MKV, FLV, GIF, AVI, MOV, MPG, QT and 3GP video.github.com · read 10 Oct 2026
- Image processing
- The app supports image upscaling and lists JPG, PNG, TIF, BMP, WebP, and HEIC as compatible formats.github.com · read 9 Oct 2026
- Image tiling
- Automatic image tiling helps avoid GPU VRAM limitations.github.com · read 10 Oct 2026
- Implementation
- The project says it is written in Python from backend to frontend and lists PyTorch, ONNX, ONNX Runtime DirectML, CustomTkinter, OpenCV and PyInstaller among its technologies.github.com · read 10 Oct 2026
- Large images
- Automatic image tiling is provided to avoid GPU VRAM limitations.github.com · read 9 Oct 2026
- License
- The GitHub repository displays an MIT license.github.com · read 10 Oct 2026
- Maker
- The GitHub account identifies its owner as Annunziata Gianluca.github.com · read 10 Oct 2026
- Privacy
- The project says no internet connection is required and everything runs on the user's PC.github.com · read 10 Oct 2026
- Processing controls
- Users can resize media before upscaling, interpolate between the original and upscaled file, and stop and resume video upscaling.github.com · read 9 Oct 2026
- Purpose
- QualityScaler is a Windows app that uses AI to enhance, upscale and denoise photographs and videos.github.com · read 10 Oct 2026
- Resize and interpolation
- Users can resize images or video before upscaling and interpolate between the original and upscaled file.github.com · read 10 Oct 2026
- Setup
- The README's manual setup instructions require Python, VS Code, downloaded AI models and ffmpeg.exe.github.com · read 10 Oct 2026
- System requirements
- The listed minimum requirements are Windows 10 or 11, 8 GB or more of RAM, and a DirectX 12 compatible GPU with at least 4 GB of VRAM.github.com · read 10 Oct 2026
- Technology
- The project says it is written in Python and lists PyTorch, ONNX, ONNX Runtime DirectML, CustomTkinter, OpenCV, and PyInstaller among its technologies.github.com · read 9 Oct 2026
- Video processing
- Video upscaling can be stopped and resumed.github.com · read 10 Oct 2026
