Update app.py

app.py

@@ -114,6 +114,8 @@ if PIPELINE_CONFIG_YAML.get("spatial_upscaler_model_path"):
     )
     print("Latent upsampler created on CPU.")
 
+target_inference_device = "cuda"
+print(f"Target inference device: {target_inference_device}")
 pipeline_instance.to(target_inference_device)
 latent_upsampler_instance.to(target_inference_device)
 
@@ -125,9 +127,6 @@ def generate(prompt, negative_prompt, input_image_filepath, input_video_filepath
              seed_ui, randomize_seed, ui_guidance_scale, improve_texture_flag,
              progress=gr.Progress(track_tqdm=True)):
 
-    target_inference_device = get_device()
-    print(f"Target inference device: {target_inference_device}")
-
     if randomize_seed:
         seed_ui = random.randint(0, 2**32 - 1)
     seed_everething(int(seed_ui))