2026
Accelerating Controllable Generation via Hybrid-grained Cache
AAAI 2026technical
Controllable generative models have been widely used to improve the realism of synthetic visual content. However, such models must handle control conditions and content generation computational requirements, resulting in generally low generation efficiency. To address this issue, we propose a Hybrid