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Added a new experimental linear weighing technique

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This commit is contained in:
Jaret Burkett
2024-09-02 09:22:13 -06:00
parent 7d9ab22405
commit d44d4eb61a
4 changed files with 19 additions and 5 deletions
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7
extensions_built_in/sd_trainer/SDTrainer.py
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@@ -390,9 +390,12 @@ class SDTrainer(BaseSDTrainProcess):
loss = torch.nn.functional.mse_loss(pred.float(), target.float(), reduction="none")
# handle linear timesteps and only adjust the weight of the timesteps
if self.sd.is_flow_matching and self.train_config.linear_timesteps:
if self.sd.is_flow_matching and (self.train_config.linear_timesteps or self.train_config.linear_timesteps2):
# calculate the weights for the timesteps
timestep_weight = self.sd.noise_scheduler.get_weights_for_timesteps(timesteps).to(loss.device, dtype=loss.dtype)
timestep_weight = self.sd.noise_scheduler.get_weights_for_timesteps(
timesteps,
v2=self.train_config.linear_timesteps2
).to(loss.device, dtype=loss.dtype)
timestep_weight = timestep_weight.view(-1, 1, 1, 1).detach()
loss = loss * timestep_weight