ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework.
Features
- input-path and output-path accept either file path or directory path
- Documentation available
- Examples available
- the format of the image to be output, png is better supported, however webp generally yields smaller file sizes, both are losslessly encoded
- Tile size, use smaller value to reduce GPU memory usage, default selects automatically
- Build from Source
Project Samples
Categories
FrameworksLicense
MIT LicenseFollow waifu2x ncnn Vulkan
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of waifu2x ncnn Vulkan!