SAKURA: Serving Attention Key-Value State Under Rate Adaptation for Private Image Editing on Phones

SAKURA is a cloud-edge system that delivers reusable attention key‑value state to mobile devices for diffusion‑based image editing while respecting a bandwidth budget. It compresses the state with a token‑importance‑aware method, dynamically selects cache representations based on network conditions, and overlaps transfer with on‑device computation. Experiments on a Snapdragon 8 Elite Gen 5 phone show that SAKURA cuts latency by up to 3.27× and reduces cache storage by 3.06× compared to uncompressed caches, all while maintaining image quality.

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• llms
• diffusion
• safety