Add LoRA scale to full LoRA also

app.py

@@ -284,8 +284,10 @@ def process_adapter_generation(prompt, cfg_scale, steps, selected_index, randomi
             pipe.load_lora_weights(
                 lora_path, 
                 weight_name=weight_name, 
-                low_cpu_mem_usage=True
+                low_cpu_mem_usage=True,
+                adapter_name="style"
             )
+            pipe.set_adapters(["style"], adapter_weights=[lora_scale])
                 
     # Set random seed for reproducibility
     with Timer("Randomizing seed"):