waifu2x-ncnn-vulkan is a command-line image upscaler and denoiser built on the ncnn inference framework.
It uses Vulkan acceleration to process images quickly on a wide range of hardware, including Intel, AMD, NVIDIA, and Apple Silicon GPUs. The project provides portable executables for Windows, Linux, and macOS, and supports both individual image files and directory-based batch processing.
This is free and open source software.
Key Features
- Uses Vulkan GPU acceleration for fast image upscaling and denoising.
- Supports Intel, AMD, NVIDIA, and Apple Silicon graphics hardware.
- Provides portable binaries with bundled models and no CUDA or Caffe runtime requirement.
- Accepts JPG, PNG, and WebP input and output formats.
- Supports denoise levels from -1 to 3 and upscale ratios from 1x to 32x.
- Can process either single images or entire directories.
- Offers adjustable tile size, thread settings, test-time augmentation, and GPU selection options.
- Can run on the CPU with the appropriate device selection option.
Website: github.com/nihui/waifu2x-ncnn-vulkan
Support:
Developer: nihui
License: MIT License
waifu2x-ncnn-vulkan is written in C++. Learn C++ with our recommended free books and free tutorials.
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