Update app.py

app.py

@@ -21,7 +21,7 @@ torch.manual_seed(1)
 logging.set_verbosity_error()
 
 torch_device = "cpu"
-t
+
 
 # Load the autoencoder model which will be used to decode the latents into image space.
 vae = AutoencoderKL.from_pretrained("CompVis/stable-diffusion-v1-4", subfolder="vae")