Fix new bug I accidently introduced with lora

toolkit/lora_special.py

@@ -341,6 +341,8 @@ class LoRASpecialNetwork(ToolkitNetworkMixin, LoRANetwork):
                             skip = True
                         
                         if self.transformer_only and is_unet:
+                            transformer_block_names = None
+                            if base_model is not None:
                                 transformer_block_names = base_model.get_transformer_block_names()
                             
                             if transformer_block_names is not None: