Fix linting errors in lora_loading_patch.py

lora_loading_patch.py

@@ -49,7 +49,7 @@ def load_lora_into_transformer(cls, state_dict, network_alphas, transformer, ada
 
         if network_alphas is not None and len(network_alphas) >= 1:
             prefix = cls.transformer_name
-            alpha_keys = [k for k in network_alphas.keys() if k.startswith(prefix) and k.split(".")[0] == prefix]
+            alpha_keys = [k for k in network_alphas if k.startswith(prefix) and k.split(".")[0] == prefix]
             network_alphas = {k.replace(f"{prefix}.", ""): v for k, v in network_alphas.items() if k in alpha_keys}
 
         lora_config_kwargs = get_peft_kwargs(rank, network_alpha_dict=network_alphas, peft_state_dict=state_dict)
@@ -58,8 +58,7 @@ def load_lora_into_transformer(cls, state_dict, network_alphas, transformer, ada
                 raise ValueError(
                     "You need `peft` 0.9.0 at least to use DoRA-enabled LoRAs. Please upgrade your installation of `peft`."
                 )
-            else:
-                lora_config_kwargs.pop("use_dora")
+            lora_config_kwargs.pop("use_dora")
         lora_config = LoraConfig(**lora_config_kwargs)
 
         # adapter_name
@@ -87,4 +86,4 @@ def load_lora_into_transformer(cls, state_dict, network_alphas, transformer, ada
             _pipeline.enable_model_cpu_offload()
         elif is_sequential_cpu_offload:
             _pipeline.enable_sequential_cpu_offload()
-        # Unsafe code />
+        # Unsafe code />