lllyasviel / lllyasviel/FramePack
When running this AI program on RTX2060, an error occurred and it could not be processed correctly.
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- Dominant language
- Python
- Stars
- 17.3k
- Forks
- 1.7k
- PR merge metrics
- No merged PRs in 30d
Description
How do I solve this problem? ? ? ?
The complete error code:
Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn']
Xformers is installed!
Flash Attn is not installed!
Sage Attn is not installed!
Namespace(share=False, server='127.0.0.1', port=None, inbrowser=True)
Free VRAM 4.9873046875 GB
High-VRAM Mode: False
Downloading shards: 100%|███████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 821.04it/s]
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 6.93it/s]
Fetching 3 files: 100%|██████████████████████████████████████████████████████████████████████████| 3/3 [00:00
p : 0.0
fa3F@0.0.0 is not supported because:
requires device with capability > (9, 0) but your GPU has capability (7, 5) (too old)
bf16 is only supported on A100+ GPUs
operator wasn't built - see python -m xformers.info for more info
fa2F@v2.7.2.post1 is not supported because:
requires device with capability > (8, 0) but your GPU has capability (7, 5) (too old)
bf16 is only supported on A100+ GPUs
cutlassF-pt is not supported because:
bf16 is only supported on A100+ GPUs
Unloaded DynamicSwap_LlamaModel as complete.
Unloaded CLIPTextModel as complete.
Unloaded SiglipVisionModel as complete.
Unloaded AutoencoderKLHunyuanVideo as complete.
Unloaded DynamicSwap_HunyuanVideoTransformer3DModelPacked as complete.
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 webui/diffusers_helper/models/hunyuan_video_packed.py, especially attn_varlen_func, and run python -m xformers.info to verify the available operators. Compare the RTX2060 capability reported in the traceback with the attention path being selected; done means establishing whether this GPU can run the workload and documenting or implementing a supported path if the project scope includes one.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100