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Is it possible for r to be exactly 0? it seems it is approaching 0, but not exactly 0. If it cannot get value 0, how the consistency model knows the ground truth x_0? I am not sure if there is some misunderstanding here.
In the original consistency models paper, the minimum t is 0.002 and in this paper it can be 0. Would you like to expand more on the difference here? Thanks.
The text was updated successfully, but these errors were encountered:
Hi, thank you for your paper and sharing the code. May I ask some questions?
In the code below
ect/training/loss.py
Line 56 in cb35360
Is it possible for r to be exactly 0? it seems it is approaching 0, but not exactly 0. If it cannot get value 0, how the consistency model knows the ground truth x_0? I am not sure if there is some misunderstanding here.
In the original consistency models paper, the minimum t is 0.002 and in this paper it can be 0. Would you like to expand more on the difference here? Thanks.
The text was updated successfully, but these errors were encountered: