fix pipeline load error.

pipeline.py

@@ -893,6 +893,8 @@ class StableDiffusionControlLoraV3Pipeline(
         num_condition_names = len(unet.extra_condition_names)
         in_channels = unet.config.in_channels
 
+        kwargs["weight_name"] = kwargs.pop("weight_name", "pytorch_lora_weights.safetensors")
+
         if adapter_name is not None and adapter_name not in unet.extra_condition_names:
             return super().load_lora_weights(pretrained_model_name_or_path_or_dict, adapter_name, **kwargs)
 
@@ -911,13 +913,11 @@ class StableDiffusionControlLoraV3Pipeline(
             subfolder = _kwargs.pop("subfolder", None)
             if isinstance(subfolder, list):
                 subfolder = subfolder[i]
-            weight_name = _kwargs.pop("weight_name", "pytorch_lora_weights.safetensors")
 
             if not isinstance(pretrained_model_name_or_path_or_dict, dict):
                 pretrained_model_name_or_path_or_dict, _ = self.lora_state_dict(
                     pretrained_model_name_or_path_or_dict,
                     subfolder=subfolder,
-                    weight_name=weight_name,
                     **_kwargs
                 )