Upload app.py

app.py

@@ -43,7 +43,12 @@ canny_path = "diffusers/controlnet-canny-sdxl-1.0"
 
 print("Caricamento ControlNet InstantID e Canny (per il Logo)...")
 # Usiamo MultiControlNet per unire il riconoscimento facciale (InstantID) e la forma del logo (Canny)
-controlnet_identity = ControlNetModel.from_pretrained(instantid_path, torch_dtype=dtype, use_safetensors=True)
+controlnet_identity = ControlNetModel.from_pretrained(
+    instantid_path, 
+    subfolder="ControlNetModel", 
+    torch_dtype=dtype, 
+    use_safetensors=True
+)
 controlnet_logo = ControlNetModel.from_pretrained(canny_path, torch_dtype=dtype, use_safetensors=True)
 controlnet = MultiControlNetModel([controlnet_identity, controlnet_logo])