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
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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

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. 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

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