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

Project Activity

See All Activity >

Categories

Frameworks

License

MIT License

Follow waifu2x ncnn Vulkan

waifu2x ncnn Vulkan Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of waifu2x ncnn Vulkan!

Additional Project Details

Programming Language

C

Related Categories

C Frameworks

Registered

2024-06-19