This commit is contained in:
XDUWQ
2023-07-26 16:58:58 +08:00
parent 99aa707995
commit 3a629bb2b4

View File

@@ -272,7 +272,7 @@ class CustomDiffusionTrainer(EpochBasedTrainer):
sample_batch_size: Batch size (per device) for sampling images.
train_batch_size: Batch size (per device) for the training dataloader.
center_crop: execute center crop or not.
concepts_list: Path to json containing multiple concepts, will overwrite parameters like instance_prompt etc.
concepts_list: Path to json containing multiple concepts, will overwrite parameters.
instance_data_name: The instance data local dir or online ID.
"""
@@ -315,7 +315,6 @@ class CustomDiffusionTrainer(EpochBasedTrainer):
else:
with open(self.concepts_list, 'r') as f:
self.concepts_list = json.load(f)
print('--------self.concepts_list: ', self.concepts_list)
for concept in self.concepts_list:
if not os.path.exists(concept['class_data_dir']):
@@ -527,7 +526,6 @@ class CustomDiffusionTrainer(EpochBasedTrainer):
"""
for i, concept in enumerate(self.concepts_list):
class_images_dir = Path(concept['class_data_dir'])
print('-------class_images_dir: ', class_images_dir)
if not class_images_dir.exists():
class_images_dir.mkdir(parents=True, exist_ok=True)