Update app.py

app.py

@@ -34,7 +34,7 @@ pipe = StableDiffusionXLPipeline.from_pretrained(
 pipe.to(device)
 
 controlnet_openpose = ControlNetModel.from_pretrained(
-    "lllyasviel/control_v11p_sd15_openpose", torch_dtype=torch.float16
+    "thibaud/controlnet-openpose-sdxl-1.0", torch_dtype=torch.float16
 ).to(device)
 
 openpose_detector = OpenposeDetector.from_pretrained("lllyasviel/ControlNet").to(device)
@@ -273,7 +273,7 @@ with gr.Blocks(css=css) as demo:
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
-                    maximum=100, # More typical steps for SDXL (20-50 usually sufficient)
+                    maximum=1000, # More typical steps for SDXL (20-50 usually sufficient)
                     step=1,
                     value=60,
                 )