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Thank you for your excellent and intriguing work! However, I still have some questions regarding the application of FreeU in downstream tasks:
1、Since FreeU doesn't have any parameters to train, do I only need to incorporate the FreeU component during reverse denoising, rather than including it in the training phase?
2、Have you ever experimented with applying FreeU to sequence generation tasks? If so, could you provide insights on how to set the values for 'b' and 's'?
3、The code includes FreeU operations only in the first two up blocks. Have you explored adding FreeU operations to all upblocks? What outcomes or results can be expected from such an approach?
The text was updated successfully, but these errors were encountered:
Thank you for your excellent and intriguing work! However, I still have some questions regarding the application of FreeU in downstream tasks:
1、Since FreeU doesn't have any parameters to train, do I only need to incorporate the FreeU component during reverse denoising, rather than including it in the training phase?
2、Have you ever experimented with applying FreeU to sequence generation tasks? If so, could you provide insights on how to set the values for 'b' and 's'?
3、The code includes FreeU operations only in the first two up blocks. Have you explored adding FreeU operations to all upblocks? What outcomes or results can be expected from such an approach?
The text was updated successfully, but these errors were encountered: