use total_steps if available, for #83
This commit is contained in:
@@ -212,6 +212,8 @@ class CustomCFGDenoiser(cfgdenoisekdiff):
|
|||||||
weights = torch.tensor(conds_list, device=uncond.device).select(2, 1)
|
weights = torch.tensor(conds_list, device=uncond.device).select(2, 1)
|
||||||
weights = weights.reshape(*weights.shape, 1, 1, 1)
|
weights = weights.reshape(*weights.shape, 1, 1, 1)
|
||||||
self.main_class.step = self.step
|
self.main_class.step = self.step
|
||||||
|
if self.total_steps:
|
||||||
|
self.main_class.max_steps = self.total_steps
|
||||||
|
|
||||||
if self.main_class.experiment_mode >= 4 and self.main_class.experiment_mode <= 5:
|
if self.main_class.experiment_mode >= 4 and self.main_class.experiment_mode <= 5:
|
||||||
# https://arxiv.org/pdf/2305.08891.pdf "Rescale CFG". It's not good, but if you want to test it, just set experiment_mode = 4 + phi.
|
# https://arxiv.org/pdf/2305.08891.pdf "Rescale CFG". It's not good, but if you want to test it, just set experiment_mode = 4 + phi.
|
||||||
|
|||||||
Reference in New Issue
Block a user