Comments (12)
So the problem you have to solve is when running this in python: import torch torch.cuda.device_count() it returns 0. There are lots of google results for debugging that issue, on it myself atm.
The pip3 install did not help for me either and I have stable diffusion running fine
Try to run pip uninstall torch torchvision
and then pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
This worked for me. (ChatGPT recommended this)
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
worked for me
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So the problem you have to solve is when running this in python:
import torch
torch.cuda.device_count()
it returns 0. There are lots of google results for debugging that issue, on it myself atm.
The pip3 install did not help for me either and I have stable diffusion running fine
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pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu121
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ah, yeah then i would look at torch tutorials (https://pytorch.org/get-started/locally/) unfortunately cuda is still a bit finicky, especially on older cards.
in the meantime for bark you can just use the huggingface spaces demo which has a UI or a google colab notebook which has a built-in gpu. that should get you started faster
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Hm, what do you get for: torch.cuda.is_available()?
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false
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Hm then this is a PyTorch issue. Sorry, hard to debug remotely. Have you used torch on gpu successfully in the past?
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My first time with python.
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
worked for me
Did not work for me. I have CUDA 11.8 installed. I don't know what is missing.
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So the problem you have to solve is when running this in python: import torch torch.cuda.device_count() it returns 0. There are lots of google results for debugging that issue, on it myself atm.
The pip3 install did not help for me either and I have stable diffusion running fineTry to run
pip uninstall torch torchvision
and thenpip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
This worked for me. (ChatGPT recommended this)
Worked for me as well.
from bark.
So the problem you have to solve is when running this in python: import torch torch.cuda.device_count() it returns 0. There are lots of google results for debugging that issue, on it myself atm.
The pip3 install did not help for me either and I have stable diffusion running fineTry to run
pip uninstall torch torchvision
and thenpip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
This worked for me. (ChatGPT recommended this)
thanks its works for me too
from bark.
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