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Has this method been attempted on CogVideoX-2B? #5

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songh11 opened this issue Dec 18, 2024 · 2 comments
Open

Has this method been attempted on CogVideoX-2B? #5

songh11 opened this issue Dec 18, 2024 · 2 comments

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@songh11
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songh11 commented Dec 18, 2024

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.
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@kelpabc123
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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!

@songh11
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songh11 commented Jan 23, 2025

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?❤️

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