5 ms·

Use the original SD repo. But modify the txt2img.py according to: https://github.com/CompVis/stable-diffusion/issues/86#issuecomment-1230309710 https://github.

• baobabKoodaa 4y ago
  I now did everything I could to constrain the memory usage of the original SD repo, I was finally able to get it to run, and it produced green squares as output :( What I did: - scripts/txt2img.py, function - load_model_from_config, line - 63, change from: model.cuda() to model.cuda().half() - removed invisible watermarking - reduced n_samples to 1 - reduced resolution to 256x256 - removed sfw filter Just can't get it to work and it's not producing an error message or anything that I could debug it with.
  • rrobukef 4y ago
    Your model is overflowing/underflowing generating NaNs. I got it with memory optimised, increased resolution (multiples of 32, 384 x 384) and full precision while keeping it in 4 GB.
  • deleted 4y ago
    [deleted]