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I have calculated the L1 error according to the formula provided in the paper, but the errors are around 0.18. I would like to know if this method supports CogVideoX-2B. Could you please provide any insights or guidance on this? Thank you.
The text was updated successfully, but these errors were encountered:
Hi, sorry for the late reply. You should try different alpha values, as different architectures will require different alpha values. In theory this should work, but as this is an adjustable parameter, you should experiment with it to find a value that works for your use case! We will also have an official implementation to compute these curves and the corresponding schedule soon. Stay tuned!
Hi, sorry for the late reply. You should try different alpha values, as different architectures will require different alpha values. In theory this should work, but as this is an adjustable parameter, you should experiment with it to find a value that works for your use case! We will also have an official implementation to compute these curves and the corresponding schedule soon. Stay tuned!
Thank you for your response. This method is applicable to the cogvideox-2B model. Additionally, I believe this method can be used together with teacache. However, there might be overlapping acceleration when using them together. Do you have any suggestions on using these two methods concurrently?❤️
I have calculated the L1 error according to the formula provided in the paper, but the errors are around 0.18. I would like to know if this method supports CogVideoX-2B. Could you please provide any insights or guidance on this? Thank you.
The text was updated successfully, but these errors were encountered: