format by black

library/custom_train_functions.py

@@ -17,9 +17,21 @@ def apply_snr_weight(loss, timesteps, noise_scheduler, gamma):
     loss = loss * snr_weight
     return loss
 
+
 def add_custom_train_arguments(parser: argparse.ArgumentParser):
-  parser.add_argument("--min_snr_gamma", type=float, default=None, help="gamma for reducing the weight of high loss timesteps. Lower numbers have stronger effect. 5 is recommended by paper. / 低いタイムステップでの高いlossに対して重みを減らすためのgamma値、低いほど効果が強く、論文では5が推奨")
-  parser.add_argument("--weighted_captions", action="store_true", default=False, help="Enable weighted captions in the standard style (token:1.3). No commas inside parens, or shuffle/dropout may break the decoder.")
+    parser.add_argument(
+        "--min_snr_gamma",
+        type=float,
+        default=None,
+        help="gamma for reducing the weight of high loss timesteps. Lower numbers have stronger effect. 5 is recommended by paper. / 低いタイムステップでの高いlossに対して重みを減らすためのgamma値、低いほど効果が強く、論文では5が推奨",
+    )
+    parser.add_argument(
+        "--weighted_captions",
+        action="store_true",
+        default=False,
+        help="Enable weighted captions in the standard style (token:1.3). No commas inside parens, or shuffle/dropout may break the decoder.",
+    )
+
 
 re_attention = re.compile(
     r"""