Update app.py

app.py

@@ -25,12 +25,6 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "1824"))
 USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE") == "1"
 ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD") == "1"
-ENABLE_USE_LORA = os.getenv("ENABLE_USE_LORA") == "1"
-ENABLE_USE_LORA2 = os.getenv("ENABLE_USE_LORA2") == "1"
-ENABLE_USE_VAE = os.getenv("ENABLE_USE_VAE", "1") == "1"
-ENABLE_USE_IMG2IMG = os.getenv("ENABLE_USE_IMG2IMG", "1") == "1"
-ENABLE_USE_CONTROLNET = os.getenv("ENABLE_USE_CONTROLNET", "1") == "1"
-ENABLE_USE_CONTROLNETIMG2IMG = os.getenv("ENABLE_USE_CONTROLNET", "1") == "1"
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
@@ -412,16 +406,9 @@ with gr.Blocks(theme=theme, css="style.css") as demo:
         api_name=False,
     )
     use_lora2.change(
-        fn=lambda x: gr.update(visible=x),
-        inputs=use_lora2,
-        outputs=lora2,
-        queue=False,
-        api_name=False,
-    )
-    use_lora2.change(
-        fn=lambda x: gr.update(visible=x),
-        inputs=use_lora,
-        outputs=lora,
+        fn=lambda x: [gr.update(visible=x), gr.update(visible=x)],
+        inputs=[use_lora, use_lora2],
+        outputs=[lora, lora2],
         queue=False,
         api_name=False,
     )