Update app.py

app.py

@@ -23,11 +23,15 @@ model_file = hf_hub_download(
     "xinsir/controlnet-union-sdxl-1.0",
     filename="diffusion_pytorch_model_promax.safetensors",
 )
-state_dict = load_state_dict(model_file)
+
+# First extract the keys from the state_dict
+loaded_keys = list(state_dict.keys())
+
+# Then call the method with the additional parameter
 model, _, _, _, _ = ControlNetModel_Union._load_pretrained_model(
-    controlnet_model, state_dict, model_file, "xinsir/controlnet-union-sdxl-1.0"
+    controlnet_model, state_dict, model_file, "xinsir/controlnet-union-sdxl-1.0", loaded_keys
 )
-model.to(device="cuda", dtype=torch.float16)
+
 
 vae = AutoencoderKL.from_pretrained(
     "madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16