Trellis on RTX 5090 ?
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- Dominant language
- Python
- Stars
- 13.7k
- Forks
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Description
Hello !
I have a RTX 5090 and I can't use Trellis with it. After following the install instructions, I have a message saying that "NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation".
After searching around, I found that Pytorch released a nightly build for Pytorch for CUDA 12.8, which I installed in the environment. I think it worked, but I'm stuck at Kaolin not working with the newly installed torch.
Does anyone have the same issue?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the repository's installation instructions and the reported PyTorch compatibility message, then check how the installed PyTorch version interacts with Kaolin. Done would require a documented, working installation path for RTX 5090, but the issue does not name a file or test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100