Update app.py

app.py

@@ -26,6 +26,8 @@ scheduler = Scheduler.from_pretrained(model_path, subfolder="scheduler")
 pipe = Pipeline(vq_model, tokenizer=tokenizer, text_encoder=text_encoder, transformer=model, scheduler=scheduler)
 pipe.to(device)
 
+MAX_SEED = 2**32 - 1
+MAX_IMAGE_SIZE = 1024
 
 def generate_image(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
     if randomize_seed or seed == 0: