LatentSync, developed by ByteDance, is a lip-sync framework based on audio-conditioned latent diffusion models. It directly leverages the robust capabilities of Stable Diffusion to model complex audio-video associations without the need for intermediate motion representations. The framework enhances temporal consistency of generated video frames through the proposed Time Representation Alignment (TREPA) technique while maintaining lip-sync accuracy. This technology has significant application value in video production, virtual avatars, and animation, significantly improving production efficiency and reducing labor costs, offering users a more realistic and natural audio-visual experience. The open-source nature of LatentSync allows for wide application in both academic research and industrial practice, promoting the development and innovation of related technologies.