Real-CUGAN-rs

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A Rust port of Real-CUGAN.

Usages

Upscale input.png to 2x and save it to output.png:

real-cugan-rs -i input.png -o output.png

Full help text:

A Rust port of Real-CUGAN

Usage: real-cugan-rs [OPTIONS] --input-path <INPUT> --output-path <OUTPUT>

Options:
  -i, --input-path <INPUT>       Input image path
  -o, --output-path <OUTPUT>     Output image path
  -s, --scale <SCALE>            Upscale ratio (2/3) [default: 2]
  -d, --denoise-level <DENOISE>  Denoise level (-1/0/3), -1 for conservative model [default: 0]
  -l, --lossless                 Output lossless encoded image
  -t, --tile-size <TILE>         Tile size, smaller value may reduce memory usage
  -W, --width <WIDTH>            After Real-CUGAN, resample to target width
  -H, --height <HEIGHT>          After Real-CUGAN, resample to target height
      --no-cache                 Disable cache, which increases runtime but reduce memory usage
  -C, --use-cpu                  Use CPU instead of GPU for inference
  -a, --alpha <ALPHA>            Please check the documentation for this option [default: 1.0]
  -h, --help                     Print help
  -V, --version                  Print version

Supported image formats: BMP, JPEG, PNG, WebP.

Note

• Currently only the pro model is supported.
• Currently GPU inference only supports NVIDIA graphics cards through CUDA and cuDNN.
• Considering the encoding speed, WebP outputs lossy compressed images by default. If you need lossless compression, please add --lossless or -l.
• Explanation of the tile size option: After specifying tile size through --tile-size or -t, the image will be divided into small blocks with a length not exceeding the tile size for inference.
  • This will significantly reduce the memory usage. Generally, the smaller the tile size, the smaller the memory usage will be, but at the same time the inference time will become longer.
  • Note that the tile size should not be too small, and it is generally recommended not to be less than 32.
  • When tile size is not specified, the entire image will be used directly for inference.
• Explanation on the width option and height option: If width and height are specified, after used Real-CUGAN, Lanczos3 would be used to resample to the target resolution.
  • If only one of width and height is specified, the other one will be calculated based on the aspect ratio of the original image.
• Explanation on cache: If the memory is still insufficient after adjusting the tile size, you can consider disabling the cache through --no-cache.
  • This will significantly reduce the memory usage. After disabling caching, as long as the tile size is small enough, generally 1.5GiB of video memory can handle images of any resolution.
  • Disabling caching will significantly increase inference time, typically to 2 to 3 times that with caching enabled.
  • This option is ignored when tile size is not specified.
• Explanation of the alpha option: 该值越大 AI 修复程度、痕迹越小，越模糊；alpha 越小处理越烈，越锐化，色偏（对比度、饱和度增强）越大；默认为 1.0 不调整，推荐调整区间 (0.7, 1.3).
• PRs are welcome!