CogVideoX1.5-5B-I2V or "THUDM/CogVideoX-5b-I2V"

[keyonchrist]

Are these lora weights for THUDM/CogVideoX-5b-I2V or CogVideoX1.5-5B-I2V, or are they the same version? Thanks and amazing work guys! your paper is awesome

[chenshuo20]

We trained these LoRAs using the THUDM/CogVideoX-5b-I2V model. Interestingly, they also appear to be compatible with CogVideoX1.5-5B-I2V. Feel free to give it a try yourself!

[keyonchrist]

ok will do!

[keyonchrist]

We trained these LoRAs using the THUDM/CogVideoX-5b-I2V model. Interestingly, they also appear to be compatible with CogVideoX1.5-5B-I2V. Feel free to give it a try yourself!

Hey! I tried to run the model but keep getting this error, any idea why?

" File "/home/ubuntu/venv/lib/python3.10/site-packages/accelerate/utils/modeling.py", line 247, in set_module_tensor_to_device
new_module = getattr(module, split)
File "/home/ubuntu/venv/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 155, in getattr
return super().getattr(name)
File "/home/ubuntu/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1931, in getattr
raise AttributeError(
AttributeError: 'CogVideoXTransformer3DModel' object has no attribute 'ofs_embedding'. Did you mean: 'time_embedding'?"

specifically the last line: AttributeError: 'CogVideoXTransformer3DModel' object has no attribute 'ofs_embedding'. Did you mean: 'time_embedding'?"

[chenshuo20]

It appears that the issue stems from CogVideoX1.5-5B-I2V, an additional component compared to CogVideoX-5B-I2V. You might resolve this by upgrading your diffusers version, trying cloning their latest repository and installing it. I also find a similar issue reported in the CogVideo repo.