In this episode, we dive into the power of ComfyUI with GGUF Quantization on the AMD Instinct Mi60 32GB HBM2 GPU using ROCm 6.4. We test the performance of FP32, FP16, Q8, and Q4_K_M for faster AI image generation using stable-diffusion.cpp. Tune in to see how each quantization method impacts speed and quality. Want to learn more? Check out the full tutorial:https://youtube.com/live/JVUhYPOX3pIBlog article:https://www.ojambo.com/reinstall-comfyui-and-rocm-6-4-for-unsupported-amd-instinct-mi60-gpuMy programming books:https://www.amazon.com/stores/Edward-Ojambo/author/B0D94QM76NProgramming courses:https://ojamboshop.com/product-category/courseContact for one-on-one tutorials:https://ojambo.com/contactAI installation and migration services:https://ojamboservices.com/contact#ComfyUI #GGUFQuantization #ROCm #FP32 #FP16 #Q8 #Q4_K_M #AIOptimization #StableDiffusion #AIonLinux #MachineLearning

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