AMD GPU's are screaming fast at stable diffusion! How to install Automatic1111 on windows with AMD

*Update March 2024 -- better way to do this* https://youtu.be/n8RhNoAenvM *Alternatives for windows* Shark - https://youtu.be/4mcdTwFUxMQ?si=COmlj9A1NQgNuZK0 ComfyUI - https://youtu.be/8rB7RqKvU5U?si=pKMK2ss5-FSuo-f- Getting Stable diffusion running on AMD GPU's used to be pretty complicated. It is so much easier now, and you can get amazing performance out of your AMD GPU! Download latest AMD drivers! Follow this guide: https://community.amd.com/t5/ai/updated-how-to-running-optimized-automatic1111-stable-diffusion/ba-p/630252 Install Git for windows Install MiniConda for windows (add directory to path!) Open mini conda command prompt conda create --name Automatic1111_olive python=3.10.6 conda activate Automatic1111_olive git clone https://github.com/lshqqytiger/stable-diffusion-webui-directml cd stable-diffusion-webui-directml git submodule update --init --recursive webui.bat --onnx --backend directml If you get an error about "socket_options" venv\Scripts\activate pip install httpx==0.24.1 Great models to use: prompthero/openjourney Lykon/DreamShaper If looking for models on hugging face... they need to have text-to-img libraries: check onnx Download model from ONNX tab Then go to Olive tab, inside Olive use the Optimize ONNX model when optimizing ONNX model ID is the same as you used to download change input and output folder names to be the same as the location the model downloaded to. Optimization takes a while! Come back and I will have some other videos about tips and tricks for getting good results!