Latte Transformer can be integrated with existing pretrained models by retrofitting the Latte attention mechanism into the architecture of the pre-trained models. Since Latte is designed as a drop-in replacement for standard attention, it can replace the traditional attention mechanism in transformers without requiring significant changes to the overall model structure. By adjusting the parameters and configurations to align with those of the pretrained model, Latte Transformer can seamlessly enhance performance on tasks that require processing long sequences efficiently.