How to Run Stable Diffusion on Linux with AMD Instinct Mi60 Using Vulkan (No ROCm!)

In this screencast, I'll show you how to compile stable-diffusion.cpp on Linux with an AMD Instinct Mi60 GPU using Vulkan for fast and efficient image generation. This tutorial is especially useful after the recent Fedora 43 update with ROCm 6.4, which no longer supports the AMD Instinct Mi60 GPU. Learn how to bypass this limitation and use Vulkan to run the Stable Diffusion model, generating high-quality images using the v1-5-pruned-emaonly-fp16.safetensors file.

We will cover everything from setting up your environment to running the model. You'll also get a deeper understanding of the differences between ROCm, Vulkan, and OpenCL, and why Vulkan is a great choice for AMD GPUs. This is a perfect solution for those looking to speed up their AI image generation workflows using AMD hardware on Linux.

Check out the full tutorial on my blog for additional details, including system requirements, installation steps, and the differences between ROCm and Vulkan:
https://ojambo.com/review-generative-ai-v1-5-pruned-emaonly-fp16-safetensors-model

🔗 Useful Links:

GitHub Repository: https://github.com/leejet/stable-diffusion.cpp

Learning Python Book: https://www.amazon.com/Learning-Python-Programming-eBook-Beginners-ebook/dp/B0D8BQ5X99

Learning Python Course: https://ojamboshop.com/product/learning-python

One-on-One Python Tutorials: https://ojambo.com/contact

v1-5-pruned-emaonly-fp16.safetensors Installation: https://ojamboservices.com/contact

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