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fix EMAModel.use_ema_warmup #9812

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fix EMAModel.use_ema_warmup #9812

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5 changes: 1 addition & 4 deletions src/diffusers/training_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -341,9 +341,6 @@ def __init__(
)
parameters = parameters.parameters()

# set use_ema_warmup to True if a torch.nn.Module is passed for backwards compatibility
use_ema_warmup = True

if kwargs.get("max_value", None) is not None:
deprecation_message = "The `max_value` argument is deprecated. Please use `decay` instead."
deprecate("max_value", "1.0.0", deprecation_message, standard_warn=False)
Expand Down Expand Up @@ -414,7 +411,7 @@ def get_decay(self, optimization_step: int) -> float:
if self.use_ema_warmup:
cur_decay_value = 1 - (1 + step / self.inv_gamma) ** -self.power
else:
cur_decay_value = (1 + step) / (10 + step)
cur_decay_value = self.decay

cur_decay_value = min(cur_decay_value, self.decay)
# make sure decay is not smaller than min_decay
Expand Down