lllyasviel / lllyasviel/FramePack
WONT WORK ANYMORE with the 5060 ti
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 17.3k
- Forks
- 1.7k
- PR merge metrics
- No merged PRs in 30d
Description
Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn']
Xformers is not installed!
Flash Attn is not installed!
Sage Attn is installed!
E:\FRAMEPACK_NVME\framepack_cu126_torch26\system\python\lib\site-packages\torch\cuda\__init__.py:287: UserWarning:
NVIDIA GeForce RTX 5060 Ti 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 5060 Ti GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
warnings.warn(
Namespace(share=False, server='127.0.0.1', port=None, inbrowser=True)
Free VRAM 14.7177734375 GB
High-VRAM Mode: False
Downloading shards: 0%| | 0/4 [00:00
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 with the reported PyTorch CUDA compatibility warning in the issue body and review the linked PyTorch installation instructions. Reproduce the startup and model download behavior on an NVIDIA GeForce RTX 5060 Ti, then establish whether a supported installation resolves the failure or whether the limitation needs to be documented.
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