Update app.py

app.py

@@ -17,12 +17,9 @@ MAX_IMAGE_SIZE = 1024
 
 @spaces.GPU(duration=20,queue=False)
 def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
-
     if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-        
-    generator = torch.Generator().manual_seed(seed)
-    
+        seed = random.randint(0, MAX_SEED)        
+    generator = torch.Generator().manual_seed(seed)    
     image = pipe(
         prompt = prompt, 
         negative_prompt = negative_prompt,
@@ -31,8 +28,7 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
         width = width, 
         height = height,
         generator = generator
-    ).images[0] 
-    
+    ).images[0]     
     return image
 
 examples = [