Update app.py

app.py

@@ -140,13 +140,10 @@ def run_lora(prompt, negative_prompt, cfg_scale, steps, selected_index, randomiz
     # Load LoRA weights
     with calculateDuration(f"Loading LoRA weights for {selected_lora['title']}"):
         if "weights" in selected_lora:
-            pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast")
-            pipe.set_adapters(adapter_names={"fast", selected_lora["repo"]}, adapter_weights=[1.0, lora_scale])
-            pipe.load_lora_weights(lora_path, weight_name=selected_lora["weights"], adapter_name=selected_lora["repo"], adapter_weights=lora_scale)
-            
+            pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast"), adapter_weights=[1.0])
+            pipe.load_lora_weights(lora_path, weight_name=selected_lora["weights"], adapter_name=selected_lora["repo"], adapter_weights=[lora_scale])
         else:
-            pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast")
-            pipe.set_adapters(adapter_names={"fast", selected_lora["repo"]}, adapter_weights=[1.0, lora_scale])
+            pipe.load_lora_weights("ostris/OpenFLUX.1", weight_name="openflux1-v0.1.0-fast-lora.safetensors", adapter_name="fast", adapter_weights=[1.0])
             pipe.load_lora_weights(lora_path, adapter_name=selected_lora["repo"], adapter_weights=lora_scale)
         
     # Set random seed for reproducibility