diff --git a/diffsynth/trainers/utils.py b/diffsynth/trainers/utils.py
index 8358e55..065b687 100644
--- a/diffsynth/trainers/utils.py
+++ b/diffsynth/trainers/utils.py
@@ -352,6 +352,8 @@ class DiffusionTrainingModule(torch.nn.Module):
             if "lora_A.weight" in key or "lora_B.weight" in key:
                 new_key = key.replace("lora_A.weight", "lora_A.default.weight").replace("lora_B.weight", "lora_B.default.weight")
                 new_state_dict[new_key] = value
+            elif "lora_A.default.weight" in key or "lora_B.default.weight" in key:
+                new_state_dict[key] = value
         return new_state_dict
 
 
diff --git a/examples/flux/model_training/train.py b/examples/flux/model_training/train.py
index e1b66c8..46eac56 100644
--- a/examples/flux/model_training/train.py
+++ b/examples/flux/model_training/train.py
@@ -45,6 +45,7 @@ class FluxTrainingModule(DiffusionTrainingModule):
                 state_dict = load_state_dict(lora_checkpoint)
                 state_dict = self.mapping_lora_state_dict(state_dict)
                 load_result = model.load_state_dict(state_dict, strict=False)
+                print(f"LoRA checkpoint loaded: {lora_checkpoint}, total {len(state_dict)} keys")
                 if len(load_result[1]) > 0:
                     print(f"Warning, LoRA key mismatch! Unexpected keys in LoRA checkpoint: {load_result[1]}")
             setattr(self.pipe, lora_base_model, model)
diff --git a/examples/qwen_image/model_training/train.py b/examples/qwen_image/model_training/train.py
index b0ba69e..31bbfda 100644
--- a/examples/qwen_image/model_training/train.py
+++ b/examples/qwen_image/model_training/train.py
@@ -49,6 +49,7 @@ class QwenImageTrainingModule(DiffusionTrainingModule):
                 state_dict = load_state_dict(lora_checkpoint)
                 state_dict = self.mapping_lora_state_dict(state_dict)
                 load_result = model.load_state_dict(state_dict, strict=False)
+                print(f"LoRA checkpoint loaded: {lora_checkpoint}, total {len(state_dict)} keys")
                 if len(load_result[1]) > 0:
                     print(f"Warning, LoRA key mismatch! Unexpected keys in LoRA checkpoint: {load_result[1]}")
             setattr(self.pipe, lora_base_model, model)
diff --git a/examples/wanvideo/model_training/train.py b/examples/wanvideo/model_training/train.py
index 726243c..f2f437e 100644
--- a/examples/wanvideo/model_training/train.py
+++ b/examples/wanvideo/model_training/train.py
@@ -46,6 +46,7 @@ class WanTrainingModule(DiffusionTrainingModule):
                 state_dict = load_state_dict(lora_checkpoint)
                 state_dict = self.mapping_lora_state_dict(state_dict)
                 load_result = model.load_state_dict(state_dict, strict=False)
+                print(f"LoRA checkpoint loaded: {lora_checkpoint}, total {len(state_dict)} keys")
                 if len(load_result[1]) > 0:
                     print(f"Warning, LoRA key mismatch! Unexpected keys in LoRA checkpoint: {load_result[1]}")
             setattr(self.pipe, lora_base_model, model)