How to make talking faces without training anything new

Talking face generation normally demands task-specific training on massive datasets. This work skips that entirely by repurposing Stable Diffusion and IP-Adapter with three lightweight, parameter-free modules that handle lip sync, identity consistency, and temporal smoothing. Results beat existing methods on both accuracy and visual quality without touching pretrained weights.