March 2024 - Stable Diffusion with AMD on windows -- use zluda ;)

SD is so much better now using Zluda! Here is how to run automatic1111 with zluda on windows, and get all the features you were missing before! ** Only GPU's that are fully supported or partially supported with ROCm can run this, check if yours is fully or partially supported before starting! ** check if your gpu is fully supported on windows here: https://rocm.docs.amd.com/projects/install-on-windows/en/develop/reference/system-requirements.html Links to files and things: Git for windows: https://gitforwindows.org/ Python: https://www.python.org/downloads/ Zluda: https://github.com/lshqqytiger/ZLUDA/releases/ AMD HIP SDK: https://rocm.docs.amd.com/projects/install-on-windows/en/develop/ Add PATH for HIP SDK and wherever you copies Zluda files to %HIP_PATH%bin C:\path\to\zluda\folder Start Automatic 1111 webui webui.bat copy zluda cublas and cusparse to ...\stable-diffusion-webui-directml\venv\Lib\site-packages\torch\lib delete cublas64_11 and cusparse64_11 rename zluda files cublas.dll to cublas64_11.dll cusparse to cusparse64_11.dll back in terminal run webui webui.bat --use-zluda If you have issues with cudnn ...\stable-diffusion-webui-directml\modules\shared_init.py Add this after def initialize torch.backends.cudnn.enabled = False If you have a GPU that is not fully supported in hip SDK follow these instructions https://github.com/vladmandic/automatic/wiki/ZLUDA