Update app.py

app.py

@@ -24,7 +24,7 @@ pipe = DiffusionPipeline.from_pretrained(
 def generate_image(prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
-    generator = torch.Generator().manual_seed(seed)
+    generator = torch.Generator().manual_seed(42)
     image = pipe(
         prompt=prompt,
         width=width,