diff --git a/gen_img_diffusers.py b/gen_img_diffusers.py
index e025c74e..19c63acf 100644
--- a/gen_img_diffusers.py
+++ b/gen_img_diffusers.py
@@ -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:
diff --git a/train_network.py b/train_network.py
index 88014ddb..393d8f9d 100644
--- a/train_network.py
+++ b/train_network.py
@@ -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)