Update app.py

app.py

@@ -7,7 +7,7 @@ pipeline = LatentDiffusionUncondPipeline.from_pretrained("CompVis/latent-diffusi
 
 
 def predict(seed):
-    torch.manual_seed(seed)
+    generator = torch.manual_seed(seed)
     image = pipeline(generator=generator, num_inference_steps=1)["sample"]
     image_processed = image.cpu().permute(0, 2, 3, 1)
     image_processed = (image_processed + 1.0) * 127.5