Shuncheng Jie, Desen Sun, Ri Hong, Yuyang Tian, Hong Zhang, Sihang Liu · 2026 · arXiv
DOI: 10.48550/arXiv.2610.29733 · open-access PDF
传输转换器在图像编辑服务中被广泛使用。为了保持效率和隐私,现有系统通常依赖于云端设备协作。在设备上保持请求特定的推断避免将个人图像和提示发送到云端。这些工作负载通常使用常见的模板,如面部交换和虚拟试用,允许KV状态在请求中预计算和重复使用。然而,这种可重复使用的状态与模板数量相结合,使得在移动设备上存储所有模板是不切实际的。
Machine translation (Meta M2M100); the English original follows.
Diffusion transformers are widely used in image-editing services. To preserve both efficiency and privacy, existing systems commonly rely on cloud-device collaboration. Keeping request-specific inference on the device avoids sending personal images and prompts to the cloud. These workloads often use common templates, such as in face swapping and virtual try-on, enabling KV state to be precomputed and reused across requests. However, this reusable state is large and scales with the number of templates, making it impractical to store all of them on mobile devices. Storing them in the cloud addre
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