aigc-apps / aigc-apps/VideoX-Fun
为什么推荐的镜像mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/easycv/torch_cuda:cogvideox_fun都不能跑通代码了？
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Description
您好，我使用了你们推荐的镜像，但是在运行
examples/wan2.1_fun/predict_i2v.py
的时候,还是会报错
module>
from videox_fun.models import (AutoencoderKLWan, CLIPModel, WanT5EncoderModel,
File "/training-pfs-shanghai/private/jinwang03/code/data-gen/VideoX-Fun/videox_fun/models/__init__.py", line 4, in <module>
from transformers import (AutoProcessor, AutoTokenizer, CLIPImageProcessor,
ImportError: cannot import name 'Mistral3ForConditionalGeneration' from 'transformers' (/usr/local/lib/python3.10/dist-packages/transformers/__init__.py)
是不是因为做了太多更新，该镜像不实用了
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Research direction
Start with examples/wan2.1_fun/predict_i2v.py and reproduce the ImportError from videox_fun/models/init.py in the recommended image. Check the installed transformers version and whether it provides Mistral3ForConditionalGeneration; the issue is done when the image's compatibility is confirmed and the required resolution is documented or identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100