Update app.py

app.py

@@ -11,6 +11,8 @@ from controlnet_aux import OpenposeDetector
 import insightface
 import onnxruntime
 
+ip_adapter_loaded = False
+
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "RunDiffusion/Juggernaut-XL-v9"  # Replace to the model you would like to use
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
@@ -39,6 +41,7 @@ openpose_detector = OpenposeDetector.from_pretrained("lllyasviel/ControlNet").to
 
 try:
     pipe.load_ip_adapter("h94/IP-Adapter", subfolder="sdxl_models", weight_name="ip-adapter-plus-face_sdxl_vit-h.safetensors")
+    ip_adapter_loaded = True
 except Exception as e:
     print(f"Could not load IP-Adapter FaceID. Make sure the model exists and paths are correct: {e}")
     print("Trying a common alternative: ip-adapter-plus-face_sdxl_vit-h.safetensors")