For Linux distributions, you can either get the essential build requirements from package manager.

Download and setup the Vulkan SDK from.

If you encounter a crash or error, try upgrading your GPU driver: format = the format of the image to be output, png is better supported, however webp generally yields smaller file sizes, both are losslessly encoded.If you find that your GPU is hungry, try increasing thread count to achieve faster processing. The default setting usually works fine for most situations. You can tune this configuration with '4:4:4' for many small-size images, and '2:2:2' for large-size images. load:proc:save = thread count for the three stages (image decoding + waifu2x upscaling + image encoding), using larger values may increase GPU usage and consume more GPU memory.

tile-size = tile size, use smaller value to reduce GPU memory usage, default selects automatically.scale = scale level, 1 = no scaling, 2 = upscale 2x.

noise-level = noise level, large value means strong denoise effect, -1 = no effect.input-path and output-path accept either file path or directory path.h show this help -v verbose output -i input-path input image path (jpg/png/webp) or directory -o output-path output image path (jpg/png/webp) or directory -n noise-level denoise level (-1/0/1/2/3, default=0) -s scale upscale ratio (1/2/4/8/16/32, default=2) -t tile-size tile size (>=32/0=auto, default=0) can be 0,0,0 for multi-gpu -m model-path waifu2x model path (default=models-cunet) -g gpu-id gpu device to use (-1=cpu, default=auto) can be 0,1,2 for multi-gpu -j load:proc:save thread count for load/proc/save (default=1:2:2) can be 1:2,2,2:2 for multi-gpu -x enable tta mode -f format output image format (jpg/png/webp, default=ext/png) Usage: waifu2x-ncnn-vulkan -i infile -o outfile.

Waifu2x ffmpeg tutorial