Closed YHQiu closed 1 year ago
Hi , have you solved this problem? I meet the same problem and I have no idea too.
Hello @YHQiu @muyuWang . I also recently encountered that error while setting up the environment again. It seems like an issue that has arisen over time. Actually, there will be an update supporting various 3D pipelines soon, and I plan to fix it then. For now, you can resolve it by simply adding the strict=False option in torch.load().
Thank you for your advice. In fact, I have tried this way yesterday and then another bug existed. It seems still caused by the environment settings.
I also recently encountered that error while setting up the environment agai
Hi,
I am having the exact same issue. And I applied strict=False as well but it is not working. Can you please tell how to fix it?
Hello,
It appears that the "transformers" version doesn't match. Maybe "pip install -U transformers==4.27.0" can resolve the issue.
Hello @YHQiu @muyuWang . I also recently encountered that error while setting up the environment again. It seems like an issue that has arisen over time. Actually, there will be an update supporting various 3D pipelines soon, and I plan to fix it then. For now, you can resolve it by simply adding the strict=False option in torch.load().
Thank you, this issue has been resolved.
After generating the point cloud using the image, I encountered an error when trying to load the state_dict of the 3DFuse model. Here is the stack trace of the error. I have checked the source code but couldn't find the cause.
ERROR LOGS:
ERROR HANPPEND SOURCE CODE: Module: adapt_sd.py
OTHER INFO: