Update app.py

app.py

@@ -52,6 +52,9 @@ torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 
 pipe_default = get_lora_sd_pipeline(ckpt_dir='./lora_logos', base_model_name_or_path=model_id_default, dtype=torch_dtype).to(device)
 
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 1024
+
 def infer(
     prompt, 
     negative_prompt,