Update app.py

app.py

@@ -62,13 +62,13 @@ 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)