Update app.py

app.py

@@ -16,9 +16,6 @@ model_path = 'stabilityai/stable-diffusion-3.5-large'
 ip_adapter_path = './ip-adapter.bin'
 image_encoder_path = "google/siglip-so400m-patch14-384"
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
-dtype = torch.float16 if torch.cuda.is_available() else torch.float32
-
 transformer = SD3Transformer2DModel.from_pretrained(
     model_path, subfolder="transformer", torch_dtype=torch.bfloat16
 )
@@ -33,8 +30,6 @@ pipe.init_ipadapter(
     nb_token=64, 
 )
 
-pipe.to(device)
-
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     if randomize_seed:
         seed = random.randint(0, 2000)