Update app.py

app.py

@@ -37,13 +37,12 @@ MAX_IMAGE_SIZE = 1024
 
 @spaces.GPU()
 def infer_example(prompt, negative_prompt="", seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=5.0, num_inference_steps=28, model_version="0.2", comparison_mode=False, progress=gr.Progress(track_tqdm=True)):
-    seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
     image = pipe(
             prompt = prompt, 
             negative_prompt = negative_prompt,
-            width=width,
-            height=height,
+            width = width,
+            height = height,
             guidance_scale = guidance_scale, 
             num_inference_steps = num_inference_steps, 
             generator = generator
@@ -68,7 +67,7 @@ def infer(prompt, negative_prompt="", seed=42, randomize_seed=False, width=1024,
             generator = generator
         ).images[0] 
         generator = torch.Generator().manual_seed(seed)
-        image_2 = image = pipe(
+        image_2 = pipe(
             prompt = prompt, 
             negative_prompt = negative_prompt,
             width=width,