Update app.py

app.py

@@ -28,7 +28,7 @@ with open('loras.json', 'r') as f:
 
 # Initialize the base model
 dtype = torch.bfloat16
-device = "cuda" if torch.cuda.is_available() else "cpu"
+device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 base_model = "John6666/hyper-flux1-dev-fp8-flux"
 taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
 good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae", torch_dtype=dtype).to(device)