lllyasviel / lllyasviel/stable-diffusion-webui-forge
It doesn't work with the RTX5080.
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 13k
- Forks
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Description
NVIDIA GeForce RTX 5080 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90.
If you want to use the NVIDIA GeForce RTX 5080 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
This message appears when starting up and generation is no longer possible. In other words, since the new GPU RTX5080 does not support CUDA121, I think it is necessary to rebuild the venv with a new version of CUDA. (For example, CUDA126?)
However, when trying to build a venv from user.bat, the file is forcibly built for the CUDA121 environment, which is inconsistent with CUDA126 and makes it impossible to even install.
Can someone please tell me how to solve this?
It may be a problem with the RTX5080 driver...
Contributor guide
No contributing guide indexed for this repository
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 reading user.bat to identify where the CUDA 12.1 environment is forced, then compare that setup with the PyTorch installation instructions linked in the issue. Done means the environment can be created and the application can start generation on an RTX 5080 without the reported compatibility error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- devops, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100