https://www.youtube.com/watch?v=QEbI6v2oPvQ
I had a lot of trouble setting up ROCm and Automatic1111. I tried first with Docker, then natively and failed many times. Then I found this video. It has a good overview for the setup and a couple of critical bits that really helped me. Those were the reinstallation of compatible version of PyTorch and how to test if ROCm and pytorch are working. I still had a few of those Python problems that crop up when updating A1111, but a quick search in A1111 bug reports gave work arounds for those. And a strange HIP hardware error came at startup, but a simple reboot solved that.
Also he says he couldn’t make it work with ROCm 5.7, but for me now 2 months later, ROCm 5.7 with 7900 XTX and Ubuntu 22.04 worked.
And coming from a Windows DirectML setup, the speed is heavenly.
Maybe he should switch to Fedora since ROCM is in the official repositories: https://i.imgur.com/wvdXZdl.png
And nope i didn’t have to install AMD drivers everything runs on Mesa inside a Distrobox Fedora container : https://i.imgur.com/5t3ucSu.png
Looking good!
How do you come out of the python dependency hell in fedora?
When i to set up the python3.10 env and try to install the requirements, torchsde always complain about a specific numpy, python or pip versions.