Update Streamlit code

streamlit_app.py

@@ -7,8 +7,8 @@ from controlnet_aux import HEDdetector
 app_controlnet_path = "SaitoHoujou/Finetuned-ControlNet_for_Diffusion-Model"
 app_base_model = "botp/stable-diffusion-v1-5" 
 app_hed_model = 'lllyasviel/Annotators'
-app_device = "cuda" if torch.cuda.is_available() else "cpu"
-app_dtype = torch.float16 if app_device == "cuda" else torch.float32
+app_device = "cpu"
+app_dtype = torch.float32
 
 def generate_image(
     pipe,