Update app.py

app.py

@@ -33,7 +33,6 @@ pipe_cn = StableDiffusionXLControlNetPipeline.from_pretrained(
     torch_dtype=precision,
     scheduler=eulera_scheduler,
 )
-
 pipe_cn.to(device)
 
 # Stable Diffusion Model without ControlNet
@@ -43,7 +42,6 @@ pipe = StableDiffusionXLPipeline.from_pretrained(
     torch_dtype=precision,
     scheduler=eulera_scheduler,
 )
-
 pipe.to(device)
 
 
@@ -131,22 +129,5 @@ with gr.Blocks() as demo:
     )
 
 
-    # ✅ Expose for API without adding UI
-    """
-    demo.load(
-        fn=generate_image,
-        inputs=[
-            prompt,
-            input_image,
-            low_threshold,
-            high_threshold,
-            strength,
-            guidance,
-            controlnet_conditioning_scale
-        ],
-        outputs=[edge_output, result_output],
-        api_name="/generate_image"
-    )
-    """
 # 🚀 Launch the app
 demo.launch(share=True)