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In this live screencast I compare running ComfyUI with PyTorch on an AMD Instinct MI60 32GB GPU using two Fedora Linux setups. The same hardware is tested with Fedora Linux Workstation 43 using ROCm 6.4 Fedora Linux Workstation 42 using ROCm 6.3 inside Distrobox This is a beginner friendly walkthrough covering ComfyUI installation Distrobox usage on Fedora PyTorch from Fedora repositories vs Python virtual environments AMD Instinct MI60 performance formats FP16 BF16 INT8 Q8 Why INT8 can be slower for video models What changed when upgrading from Fedora 42 to Fedora 43 Why MI60 is no longer officially supported in ROCm 6.4 I also demonstrate how to reuse model weights using extra_model_paths.yaml instead of downloading models again and discuss licensing for the z image turbo model. This video is useful if you are New to ComfyUI Running AMD GPUs on Linux Testing ROCm upgrades Using older data center GPUs like MI60 Blog article with full setup guide https://ojambo.com/amd-instinct-mi60-... Learning Python book https://www.amazon.com/Learning-Pytho... Learning Python online course https://ojamboshop.com/product/learni... One on one Python tutoring https://ojambo.com/contact ComfyUI and z image turbo installation or migration services https://ojamboservices.com/contact If you found this useful consider liking subscribing and sharing with others using AMD GPUs on Linux. #ComfyUI #AMD #ROCm #FedoraLinux #StableDiffusion #LinuxAI #AMDGPU #PyTorch #OpenSource #AIImageGeneration #Distrobox #Wayland