Stable Diffusion on AMD RDNA™ 3 Architecture

This page summarizes the projects mentioned and recommended in the original post on /r/hardware

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  • oneMKL

    oneAPI Math Kernel Library (oneMKL) Interfaces

    I think there's already been work done to just use intel MKL on any device: https://github.com/oneapi-src/oneMKL

  • waifu2x-ncnn-vulkan

    waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • realsr-ncnn-vulkan

    RealSR super resolution implemented with ncnn library

  • dain-ncnn-vulkan

    DAIN, Depth-Aware Video Frame Interpolation implemented with ncnn library

  • rife-ncnn-vulkan

    RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library

  • srmd-ncnn-vulkan

    SRMD super resolution implemented with ncnn library

  • waifu2x

    Image Super-Resolution for Anime-Style Art

    Waifu2x in particular, is one of the oldest and still one of the best AI upscalers for anime and drawings in general, and it has always heavily favored Nvidia. The most known port was not the original Waifu2x by nagadomi, but Waifu2x-caffe, which was much more feature rich, and supported CUDA and cuDNN, both Nvidia exclusive. There was an OpenCL alternative which worked on AMD, but it was only as fast as Waifu2x-caffe under CUDA, but with cuDNN it still blew the OpenCL out of the water.

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  • waifu2x-caffe

    waifu2xのCaffe版

    Waifu2x in particular, is one of the oldest and still one of the best AI upscalers for anime and drawings in general, and it has always heavily favored Nvidia. The most known port was not the original Waifu2x by nagadomi, but Waifu2x-caffe, which was much more feature rich, and supported CUDA and cuDNN, both Nvidia exclusive. There was an OpenCL alternative which worked on AMD, but it was only as fast as Waifu2x-caffe under CUDA, but with cuDNN it still blew the OpenCL out of the water.

  • Orochi

    HIP is supported on Windows. Blender runs its HIP backend on Windows for example. Orochi enables developers to use HIP on windows already https://github.com/amdadvtech/Orochi

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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