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Kohya S
2023-04-08 21:36:35 +09:00
parent a75f5898e6
commit a876f2d3fb
1 changed files with 31 additions and 19 deletions
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38
library/custom_train_functions.py
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@@ -5,21 +5,33 @@ from typing import List, Optional, Union
def apply_snr_weight(loss, timesteps, noise_scheduler, gamma):
alphas_cumprod = noise_scheduler.alphas_cumprod
sqrt_alphas_cumprod = torch.sqrt(alphas_cumprod)
sqrt_one_minus_alphas_cumprod = torch.sqrt(1.0 - alphas_cumprod)
alpha = sqrt_alphas_cumprod
sigma = sqrt_one_minus_alphas_cumprod
all_snr = (alpha / sigma) ** 2
snr = torch.stack([all_snr[t] for t in timesteps])
gamma_over_snr = torch.div(torch.ones_like(snr)*gamma,snr)
snr_weight = torch.minimum(gamma_over_snr,torch.ones_like(gamma_over_snr)).float() #from paper
loss = loss * snr_weight
return loss
alphas_cumprod = noise_scheduler.alphas_cumprod
sqrt_alphas_cumprod = torch.sqrt(alphas_cumprod)
sqrt_one_minus_alphas_cumprod = torch.sqrt(1.0 - alphas_cumprod)
alpha = sqrt_alphas_cumprod
sigma = sqrt_one_minus_alphas_cumprod
all_snr = (alpha / sigma) ** 2
snr = torch.stack([all_snr[t] for t in timesteps])
gamma_over_snr = torch.div(torch.ones_like(snr) * gamma, snr)
snr_weight = torch.minimum(gamma_over_snr, torch.ones_like(gamma_over_snr)).float() # from paper
loss = loss * snr_weight
return loss
def add_custom_train_arguments(parser: argparse.ArgumentParser):
parser.add_argument("--min_snr_gamma", type=float, default=None, help="gamma for reducing the weight of high loss timesteps. Lower numbers have stronger effect. 5 is recommended by paper. / 低いタイムステップでの高いlossに対して重みを減らすためのgamma値、低いほど効果が強く、論文では5が推奨")
parser.add_argument("--weighted_captions", action="store_true", default=False, help="Enable weighted captions in the standard style (token:1.3). No commas inside parens, or shuffle/dropout may break the decoder.")
parser.add_argument(
"--min_snr_gamma",
type=float,
default=None,
help="gamma for reducing the weight of high loss timesteps. Lower numbers have stronger effect. 5 is recommended by paper. / 低いタイムステップでの高いlossに対して重みを減らすためのgamma値、低いほど効果が強く、論文では5が推奨",
)
parser.add_argument(
"--weighted_captions",
action="store_true",
default=False,
help="Enable weighted captions in the standard style (token:1.3). No commas inside parens, or shuffle/dropout may break the decoder.",
)
re_attention = re.compile(
r"""