trying device type

handler.py

@@ -51,8 +51,8 @@ class EndpointHandler():
 
         print("model path is " + pretrained_base_model_path_unet)
         reference_unet = UNet2DConditionModel.from_pretrained(
-            "./pretrained_weights/stable-diffusion-v1-5/unet",
-        ).to(device, dtype=self.weight_dtype)
+            pretrained_base_model_path_unet,
+        ).to(dtype=self.weight_dtype, device="cuda")
 
         inference_config_path = os.path.join(base_dir, 'configs', 'inference', 'inference_v2.yaml')
         motion_module_path = os.path.join(base_dir, 'pretrained_weights', 'motion_module.pth')