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About training module in paper #18

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cuijh26 opened this issue Dec 6, 2024 · 3 comments
Open

About training module in paper #18

cuijh26 opened this issue Dec 6, 2024 · 3 comments

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@cuijh26
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cuijh26 commented Dec 6, 2024

image

Hello, it's a great work. I read the paper, and feel confused about the training modules. Do you train the all modules (attention and ffn) of MM-Dit blocks of CogVideox? Maybe I miss some details, hoping for reply. Thanks.

@SHYuanBest
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SHYuanBest commented Dec 7, 2024

Thanks for your interest. Yes, we train all the modules (attention and FFN) of the MM-DIT blocks in CogVideoX, but in practice, it may work by just training the LoRA.

@tyrink
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tyrink commented Dec 18, 2024

Thanks for your interest. Yes, we train all the modules (attention and FFN) of the MM-DIT blocks in CogVideoX, but in practice, it may work by just training the LoRA.

Hi, can you give a rough estimate of the amount of training data needed if just training the cross-attn adapter?

@SHYuanBest
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SHYuanBest commented Dec 18, 2024

Thanks for your interest. Yes, we train all the modules (attention and FFN) of the MM-DIT blocks in CogVideoX, but in practice, it may work by just training the LoRA.

Hi, can you give a rough estimate of the amount of training data needed if just training the cross-attn adapter?

The specific amount of training data might be determined based on the experimental results. But the more training data, the better, as long as the quality is ensured.

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3 participants