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zslittlehelper avatar zslittlehelper commented on August 19, 2024 3

I'm a newbie to this, so for others peering into this issue...

The Torch variants that are automatically installed into the environment don't seem to be the full thing (uncertain how this works). Going to PyTorch, selecting a full CUDA environment (CUDA 11.6 in my case) and installing it does work. (Though resolving the environment takes a long time)

You also need to do a 'conda install ffmpeg' in order for the gradio interface to work correctly.

Additionally, AudioLDM automatically sets up a public Gradio share link, this can be disabled by setting 'iface.launch(share=True)' in 'app.py' to 'False'.

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Aptronymist avatar Aptronymist commented on August 19, 2024 3

It seems like a simple requirements.txt file would sort this out quite easily. Can we get one? It's now October and the same thing is happening.

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Fictiverse avatar Fictiverse commented on August 19, 2024 1

pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113

Worked for me

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haoheliu avatar haoheliu commented on August 19, 2024

It sounds like you installed PyTorch without CUDA support. https://pytorch.org/ has instructions for how to install pytorch with cuda support. Thanks.

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rne1223 avatar rne1223 commented on August 19, 2024

conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia

worked for me as well

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parjanyaacoder avatar parjanyaacoder commented on August 19, 2024

Stuck on the same issue. I don't have nvidia gpu. Installed pytorch with cuda support using https://pytorch.org/get-started/locally/ but this also did not work. I have Intel 620 GPU in laptop and probably this will not support audioldm.

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