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update bucketing features

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Kohya S
2023-02-05 21:37:46 +09:00
parent ae33d72479
commit ea2dfd09ef
7 changed files with 294 additions and 135 deletions
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7
train_network.py
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@@ -120,13 +120,16 @@ def train(args):
print("Use DreamBooth method.")
train_dataset = DreamBoothDataset(args.train_batch_size, args.train_data_dir, args.reg_data_dir,
tokenizer, args.max_token_length, args.caption_extension, args.shuffle_caption, args.keep_tokens,
args.resolution, args.enable_bucket, args.min_bucket_reso, args.max_bucket_reso, args.prior_loss_weight,
args.flip_aug, args.color_aug, args.face_crop_aug_range, args.random_crop, args.debug_dataset)
args.resolution, args.enable_bucket, args.min_bucket_reso, args.max_bucket_reso,
args.bucket_reso_steps, args.bucket_no_upscale,
args.prior_loss_weight, args.flip_aug, args.color_aug, args.face_crop_aug_range,
args.random_crop, args.debug_dataset)
else:
print("Train with captions.")
train_dataset = FineTuningDataset(args.in_json, args.train_batch_size, args.train_data_dir,
tokenizer, args.max_token_length, args.shuffle_caption, args.keep_tokens,
args.resolution, args.enable_bucket, args.min_bucket_reso, args.max_bucket_reso,
args.bucket_reso_steps, args.bucket_no_upscale,
args.flip_aug, args.color_aug, args.face_crop_aug_range, args.random_crop,
args.dataset_repeats, args.debug_dataset)
train_dataset.make_buckets()