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fix: huber_schedule exponential not working on sd3_train.py

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Kohya S
2024-12-01 13:30:35 +09:00
parent a5a27fe4c3
commit 14f642f88b
2 changed files with 4 additions and 6 deletions
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library/train_util.py
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@@ -5875,7 +5875,7 @@ def get_huber_threshold(args, timesteps: torch.Tensor, noise_scheduler) -> torch
alpha = -math.log(args.huber_c) / noise_scheduler.config.num_train_timesteps
result = torch.exp(-alpha * timesteps) * args.huber_scale
elif args.huber_schedule == "snr":
if noise_scheduler is None or not hasattr(noise_scheduler, "alphas_cumprod"):
if not hasattr(noise_scheduler, "alphas_cumprod"):
raise NotImplementedError("Huber schedule 'snr' is not supported with the current model.")
alphas_cumprod = torch.index_select(noise_scheduler.alphas_cumprod, 0, timesteps.cpu())
sigmas = ((1.0 - alphas_cumprod) / alphas_cumprod) ** 0.5