Comments (5)
Hey, thanks for answer, Yes, the problem is that when I update the torch, it is no longer compatible with the cuda and if I update the cuda other incompatibility errors already appear lol Do you know what combination they use and it doesn't cause problems? I think that with that I could try to install everything as you have it
In my case, I'm using the nightly version, and there are no issues.
pytorch-triton 2.1.0+e6216047b8
torch 2.1.0.dev20230812+cu118
torchaudio 2.1.0.dev20230812+cu118
torchsde 0.2.5
torchvision 0.16.0.dev20230812+cu118
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ok maybe the nightly version i need to try, it's the only thing i haven't used. Thanks a lot
If you're going to use the nightly version, you'll need to build xformers yourself.
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Have you tried update torch version?
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Hey, thanks for answer, Yes, the problem is that when I update the torch, it is no longer compatible with the cuda and if I update the cuda other incompatibility errors already appear lol
Do you know what combination they use and it doesn't cause problems? I think that with that I could try to install everything as you have it
from comfyui-impact-subpack.
ok maybe the nightly version i need to try, it's the only thing i haven't used. Thanks a lot
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