Update app.py

app.py

@@ -21,6 +21,7 @@ if torch.cuda.is_available():
         add_watermarker=False
     )
     #pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
+    pipe.tokenizer.model_max_length=512
     pipe.to("cuda")
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int: