VictorMylle/Kohya-ss-sd-scripts
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Handle tuple return from generate_dataset_group_by_blueprint

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This commit is contained in:
rockerBOO
2025-01-08 18:38:20 -05:00
parent 556f3f1696
commit 9fde0d7972
15 changed files with 24 additions and 17 deletions
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4
fine_tune.py
View File

@@ -91,9 +91,9 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
train_dataset_group = train_util.load_arbitrary_dataset(args)
train_dataset_group, val_dataset_group = train_util.load_arbitrary_dataset(args)
current_epoch = Value("i", 0)
current_step = Value("i", 0)

3
flux_train.py
View File

@@ -138,9 +138,10 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
train_dataset_group = train_util.load_arbitrary_dataset(args)
val_dataset_group = None
current_epoch = Value("i", 0)
current_step = Value("i", 0)

4
flux_train_control_net.py
View File

@@ -126,9 +126,9 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
train_dataset_group = train_util.load_arbitrary_dataset(args)
train_dataset_group, val_dataset_group = train_util.load_arbitrary_dataset(args)
current_epoch = Value("i", 0)
current_step = Value("i", 0)

2
library/config_util.py
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@@ -467,7 +467,7 @@ class BlueprintGenerator:
return default_value
def generate_dataset_group_by_blueprint(dataset_group_blueprint: DatasetGroupBlueprint):
def generate_dataset_group_by_blueprint(dataset_group_blueprint: DatasetGroupBlueprint) -> Tuple[DatasetGroup, Optional[DatasetGroup]]:
datasets: List[Union[DreamBoothDataset, FineTuningDataset, ControlNetDataset]] = []
for dataset_blueprint in dataset_group_blueprint.datasets:

3
sd3_train.py
View File

@@ -149,9 +149,10 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
train_dataset_group = train_util.load_arbitrary_dataset(args)
val_dataset_group = None
current_epoch = Value("i", 0)
current_step = Value("i", 0)

3
sdxl_train.py
View File

@@ -176,9 +176,10 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
train_dataset_group = train_util.load_arbitrary_dataset(args)
val_dataset_group = None
current_epoch = Value("i", 0)
current_step = Value("i", 0)

2
sdxl_train_control_net.py
View File

@@ -114,7 +114,7 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
current_epoch = Value("i", 0)
current_step = Value("i", 0)

2
sdxl_train_control_net_lllite.py
View File

@@ -123,7 +123,7 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
current_epoch = Value("i", 0)
current_step = Value("i", 0)

2
sdxl_train_control_net_lllite_old.py
View File

@@ -103,7 +103,7 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args, tokenizer=[tokenizer1, tokenizer2])
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
current_epoch = Value("i", 0)
current_step = Value("i", 0)

3
tools/cache_latents.py
View File

@@ -116,10 +116,11 @@ def cache_to_disk(args: argparse.Namespace) -> None:
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
# use arbitrary dataset class
train_dataset_group = train_util.load_arbitrary_dataset(args)
val_dataset_group = None
# acceleratorを準備する
logger.info("prepare accelerator")

3
tools/cache_text_encoder_outputs.py
View File

@@ -103,10 +103,11 @@ def cache_to_disk(args: argparse.Namespace) -> None:
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
# use arbitrary dataset class
train_dataset_group = train_util.load_arbitrary_dataset(args)
val_dataset_group = None
# acceleratorを準備する
logger.info("prepare accelerator")

2
train_control_net.py
View File

@@ -100,7 +100,7 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args, tokenizer=tokenizer)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
current_epoch = Value("i", 0)
current_step = Value("i", 0)

3
train_db.py
View File

@@ -89,9 +89,10 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
train_dataset_group = train_util.load_arbitrary_dataset(args)
val_dataset_group = None
current_epoch = Value("i", 0)
current_step = Value("i", 0)

3
train_textual_inversion.py
View File

@@ -320,9 +320,10 @@ class TextualInversionTrainer:
}
blueprint = blueprint_generator.generate(user_config, args)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
else:
train_dataset_group = train_util.load_arbitrary_dataset(args)
val_dataset_group = None
self.assert_extra_args(args, train_dataset_group)

2
train_textual_inversion_XTI.py
View File

@@ -239,7 +239,7 @@ def train(args):
}
blueprint = blueprint_generator.generate(user_config, args, tokenizer=tokenizer)
train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group, val_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
train_dataset_group.enable_XTI(XTI_layers, token_strings=token_strings)
current_epoch = Value("i", 0)
current_step = Value("i", 0)