Update app.py

app.py

@@ -129,7 +129,7 @@ def create_demo(
 
             noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
             noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
-            latents = scheduler.step(noisy_pred, t, latents).prev_sample
+            latents = scheduler.step(noise_pred, t, latents).prev_sample
 
         with torch.no_grad():
             latents = latents / vae.config.scaling_factor
@@ -207,12 +207,12 @@ if __name__ == "__main__":
     class AppArgs:
         model_name: str = "danhtran2mind/ghibli-fine-tuned-sd-2.1"
         device: str = "cuda" if torch.cuda.is_available() else "cpu"
-        # port: int = 7860
-        # share: bool = False  # Set to True for public sharing (Hugging Face Spaces)
+        port: int = 7860
+        share: bool = False  # Set to True for public sharing (Hugging Face Spaces)
 
     parser = HfArgumentParser([AppArgs])
     args_tuple = parser.parse_args_into_dataclasses()
     args = args_tuple[0]
 
     demo = create_demo(args.model_name, args.device)
-    demo.launch()
+    demo.launch(server_port=args.port, share=args.share)