Max Speed Wan 2.1: AMD Mi60 and ROCm Optimization Guide

Learn how to push the limits of AI video generation using the Wan 2.1 1.3B model on Fedora 43. This screencast demonstrates how to utilize the AMD Instinct Mi60 with 32GB of VRAM and 24GB of system RAM for high-speed performance. We cover custom compiling stable-diffusion.cpp with ROCm support and utilizing advanced flags like direct convolution and VAE tiling. You will see a live example of generating a high-quality video using a complex GGUF quantized model and ultra-fast caching methods. This tutorial is perfect for beginner programmers looking to optimize their local AI workflows on AMD hardware.

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