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Merge branch 'dev' into sd3

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Kohya S
2025-09-29 21:02:02 +09:00
parent f0c767e0f2 63711390a0
commit 5462a6bb24
2 changed files with 15 additions and 11 deletions
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9
library/sdxl_train_util.py
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@@ -327,8 +327,11 @@ def save_sd_model_on_epoch_end_or_stepwise(
def add_sdxl_training_arguments(parser: argparse.ArgumentParser, support_text_encoder_caching: bool = True):
if support_text_encoder_caching:
parser.add_argument(
"--cache_text_encoder_outputs", action="store_true", help="cache text encoder outputs / text encoderの出力をキャッシュする"
"--cache_text_encoder_outputs",
action="store_true",
help="cache text encoder outputs / text encoderの出力をキャッシュする",
)
parser.add_argument(
"--cache_text_encoder_outputs_to_disk",
@@ -342,7 +345,7 @@ def add_sdxl_training_arguments(parser: argparse.ArgumentParser, support_text_en
)
def verify_sdxl_training_args(args: argparse.Namespace, supportTextEncoderCaching: bool = True):
def verify_sdxl_training_args(args: argparse.Namespace, support_text_encoder_caching: bool = True):
assert not args.v2, "v2 cannot be enabled in SDXL training / SDXL学習ではv2を有効にすることはできません"
if args.clip_skip is not None:
@@ -365,7 +368,7 @@ def verify_sdxl_training_args(args: argparse.Namespace, supportTextEncoderCachin
# not hasattr(args, "weighted_captions") or not args.weighted_captions
# ), "weighted_captions cannot be enabled in SDXL training currently / SDXL学習では今のところweighted_captionsを有効にすることはできません"
if supportTextEncoderCaching:
if support_text_encoder_caching:
if args.cache_text_encoder_outputs_to_disk and not args.cache_text_encoder_outputs:
args.cache_text_encoder_outputs = True
logger.warning(

3
sdxl_train_textual_inversion.py
View File

@@ -20,7 +20,8 @@ class SdxlTextualInversionTrainer(train_textual_inversion.TextualInversionTraine
self.is_sdxl = True
def assert_extra_args(self, args, train_dataset_group: Union[train_util.DatasetGroup, train_util.MinimalDataset], val_dataset_group: Optional[train_util.DatasetGroup]):
sdxl_train_util.verify_sdxl_training_args(args, supportTextEncoderCaching=False)
# super().assert_extra_args(args, train_dataset_group) # do not call parent because it checks reso steps with 64
sdxl_train_util.verify_sdxl_training_args(args, support_text_encoder_caching=False)
train_dataset_group.verify_bucket_reso_steps(32)
if val_dataset_group is not None: