Closed feifeiobama closed 1 month ago
Hi, Thanks for your interest in our work. This issue comes from here: https://github.com/magic-research/piecewise-rectified-flow/blob/c530cf76e54587ab85f0c6d00b9bca54d055da03/src/scheduler_perflow.py#L312
In the previous version, we did not rescale the timestep into the range of [0,1] before passing to get_window_alpha.
Got it, thanks!
Hi there,
First, congratulations on releasing such an easy-to-use codebase!
I recently upgraded the codebase from 9bfc04 to the latest version, but encountered a change in the behavior of get_window_alpha:
get_window_alpha(torch.tensor(250))[4] = 0.8222
get_window_alpha(torch.tensor(500))[4] = 0.6412
get_window_alpha(torch.tensor(750))[4] = 0.4516
get_window_alpha(torch.tensor(1000))[4] = 0.2869
0.2869
.I am wondering which is the right one for SD 1.5 with epsilon prediction.