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fix batch expansion of sigmas when batch size > 1

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rockerBOO
2025-10-12 16:07:55 -04:00
parent 2379bb27e8
commit d90b293792
1 changed files with 2 additions and 1 deletions
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3
train_network.py
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@@ -477,7 +477,8 @@ class NetworkTrainer:
loss = train_util.conditional_loss(noise_pred.float(), target.float(), args.loss_type, "none", huber_c)
if args.wavelet_loss:
def maybe_denoise_latents(denoise_latents: bool, noisy_latents, sigmas, noise_pred, noise):
def maybe_denoise_latents(denoise_latents: bool, noisy_latents, sigma, noise_pred, noise):
sigmas = sigma.expand(noise_pred.size(0), -1, -1, -1)
if denoise_latents:
if self.is_flow_matching:
# denoise latents to use for wavelet loss