diff --git a/library/train_util.py b/library/train_util.py
index 96d32e3b..d2ab95a0 100644
--- a/library/train_util.py
+++ b/library/train_util.py
@@ -3061,6 +3061,12 @@ def add_sd_models_arguments(parser: argparse.ArgumentParser):
         default=None,
         help="directory for caching Tokenizer (for offline training) / Tokenizerをキャッシュするディレクトリ（ネット接続なしでの学習のため）",
     )
+    parser.add_argument(
+        "--num_last_layers_to_freeze",
+        type=int,
+        default=None,
+        help="num_last_layers_to_freeze",
+    )
 
 
 def add_optimizer_arguments(parser: argparse.ArgumentParser):
@@ -5598,6 +5604,20 @@ def sample_image_inference(
         pass
 
 
+def freeze_blocks_lr(model, num_last_layers_to_freeze, base_lr, block_name="x_block"):
+    bottom_layers = list(model.children())[-num_last_layers_to_freeze:]
+
+    params_to_optimize = []
+
+    for layer in reversed(bottom_layers):
+        for name, param in layer.named_parameters():
+            if block_name in name:
+                params_to_optimize.append({"params": [param], "lr": 0.0})
+            else:
+                params_to_optimize.append({"params": [param], "lr": base_lr})
+
+    return params_to_optimize
+
 # endregion
 
 
diff --git a/sd3_train.py b/sd3_train.py
index 9a7de239..8bff476a 100644
--- a/sd3_train.py
+++ b/sd3_train.py
@@ -60,7 +60,6 @@ def train(args):
     assert (
         not args.weighted_captions
     ), "weighted_captions is not supported currently / weighted_captionsは現在サポートされていません"
-
     # assert (
     #     not args.train_text_encoder or not args.cache_text_encoder_outputs
     # ), "cache_text_encoder_outputs is not supported when training text encoder / text encoderを学習するときはcache_text_encoder_outputsはサポートされていません"
@@ -283,7 +282,8 @@ def train(args):
     # if train_unet:
     training_models.append(mmdit)
     # if block_lrs is None:
-    params_to_optimize.append({"params": list(mmdit.parameters()), "lr": args.learning_rate})
+    params_to_optimize = train_util.freeze_blocks_lr(mmdit, args.num_last_layers_to_freeze,args.args.learning_rate)
+    # params_to_optimize.append({"params": list(mmdit.parameters()), "lr": args.learning_rate})
     # else:
     #     params_to_optimize.extend(get_block_params_to_optimize(mmdit, block_lrs))