Update app.py

app.py

@@ -62,13 +62,14 @@ pipe.load_lora_weights(
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     if randomize_seed:
-    seed: int = 0,
-    width: int = 1024,
-    height: int = 1024,
-    guidance_scale: float = 0,
-    num_inference_steps: int = 4,
-    progress=gr.Progress(track_tqdm=True),
-) -> PIL.Image.Image:
+        seed: int = 0,
+        width: int = 1024,
+        height: int = 1024,
+        guidance_scale: float = 0,
+        num_inference_steps: int = 4,
+        progress=gr.Progress(track_tqdm=True),
+        ) -> PIL.Image.Image:
+
     print(f'** Generating image for: "{prompt}" **')
     generator = torch.Generator().manual_seed(seed)