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Add traning_comment metadata.

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Kohya S
2023-01-22 18:33:19 +09:00
parent 1bfcf164f1
commit 8746188ed7
2 changed files with 11 additions and 7 deletions
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11
gen_img_diffusers.py
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@@ -1995,11 +1995,12 @@ def main(args):
network_weight = args.network_weights[i]
print("load network weights from:", network_weight)
from safetensors.torch import safe_open
with safe_open(network_weight, framework="pt") as f:
metadata = f.metadata()
if metadata is not None:
print(f"metadata for: {network_weight}: {metadata}")
if model_util.is_safetensors(network_weight):
from safetensors.torch import safe_open
with safe_open(network_weight, framework="pt") as f:
metadata = f.metadata()
if metadata is not None:
print(f"metadata for: {network_weight}: {metadata}")
network = imported_module.create_network_from_weights(network_mul, network_weight, vae, text_encoder, unet, **net_kwargs)
else:

7
train_network.py
View File

@@ -245,7 +245,7 @@ def train(args):
"ss_lr_scheduler": args.lr_scheduler,
"ss_network_module": args.network_module,
"ss_network_dim": args.network_dim, # None means default because another network than LoRA may have another default dim
"ss_network_alpha": args.network_alpha, # some networks may not use this value
"ss_network_alpha": args.network_alpha, # some networks may not use this value
"ss_mixed_precision": args.mixed_precision,
"ss_full_fp16": bool(args.full_fp16),
"ss_v2": bool(args.v2),
@@ -264,6 +264,7 @@ def train(args):
"ss_keep_tokens": args.keep_tokens,
"ss_dataset_dirs": json.dumps(train_dataset.dataset_dirs_info),
"ss_reg_dataset_dirs": json.dumps(train_dataset.reg_dataset_dirs_info),
"ss_training_comment": args.training_comment # will not be updated after training
}
# uncomment if another network is added
@@ -448,12 +449,14 @@ if __name__ == '__main__':
parser.add_argument("--network_dim", type=int, default=None,
help='network dimensions (depends on each network) / モジュールの次元数（ネットワークにより定義は異なります）')
parser.add_argument("--network_alpha", type=float, default=1,
help='alpha for LoRA weight scaling, 0 for no scaling (same as old version) / LoRaの重み調整のalpha値、0で調整なし（旧バージョンと同じ）')
help='alpha for LoRA weight scaling, default 1, 0 for no scaling (same as old version) / LoRaの重み調整のalpha値、デフォルト1、0で調整なし（旧バージョンと同じ）')
parser.add_argument("--network_args", type=str, default=None, nargs='*',
help='additional argmuments for network (key=value) / ネットワークへの追加の引数')
parser.add_argument("--network_train_unet_only", action="store_true", help="only training U-Net part / U-Net関連部分のみ学習する")
parser.add_argument("--network_train_text_encoder_only", action="store_true",
help="only training Text Encoder part / Text Encoder関連部分のみ学習する")
parser.add_argument("--training_comment", type=str, default=None,
help="arbitrary comment string stored in metadata / メタデータに記録する任意のコメント文字列")
args = parser.parse_args()
train(args)