Hacker News Reader

Comment by nathas | Hacker News Reader

Broadly speaking, it looks like they are. The implementation of Stable Diffusion doesn't appear to be using all of those features correctly (i.e. device selection fails if you don't have CUDA enabled even though MPS (https://pytorch.org/docs/stable/notes/mps.html) is supported by PyTorch.

Similar goes for quirks of Tensorflow that weren't taken advantage of. That's largely the work that is on-going in the OSX and M1 forks.

View on HN

I got stuck on this roadblock, couldn’t get CUDA to work on my Mac, was very confusing

That's because CUDA is only for Nvidia GPUs and Apple doesn't support Nvidia GPUs, it has its own now.

Didn’t apple stop supporting Nvidia cards like 5 years ago? How could it be confusing that Cuda wouldn’t run?

Ah, I didn't realize. It's not very obvious what GPU you have in your Macbook, I couldn't actually find out where to find that in my System settings. On Windows it's inside the "Display" settings but on MacOS... where is it? :)

lol presumably the OP didn't know that... hence the confusion.

    (base)   stable-diffusion git:(main) conda env create -f environment.yaml
    Collecting package metadata (repodata.json): done
    Solving environment: failed
    
    ResolvePackageNotFound:
      - cudatoolkit=11.3

oh i was following the github fork readme, there is a special macos blog post

link?

Reply on news.ycombinator.com