dreamfusionacc
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chinhsuanwu
A minimal PyTorch implementation of text-to-3D models, e.g., DreamFusion and Magic3D, based on NerfAcc
I tried to install tinycudann, followed by: `pip install git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch` However, there are some errors: Collecting git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch Cloning https://github.com/NVlabs/tiny-cuda-nn/ to /tmp/pip-req-build-40xt7z4r Running command git clone --filter=blob:none --quiet https://github.com/NVlabs/tiny-cuda-nn/ /tmp/pip-req-build-40xt7z4r Resolved...
Building wheels for collected packages: tinycudann Building wheel for tinycudann (setup.py) ... error error: subprocess-exited-with-error × python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [237 lines...
safetensors_rust. SafetensorError: Error while de eserializing header:MetadataIncompleteBuffer
Magic3D doesn't require training diffusion models, so why does it need 8 A100 GPUs? Thanks
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A minimal PyTorch implementation of text-to-3D models, e.g., DreamFusion and Magic3D, based on NerfAcc