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LatentSync is an open-source framework from ByteDance that produces high-quality lip-synchronization for video by using an audio-conditioned latent diffusion model, bypassing traditional intermediate motion representations. In effect, given a source video (with masked or reference frames) and an audio track, LatentSync directly generates frames whose lip motions and expressions align with the audio, producing convincing talking-head or animated lip-sync output. The system leverages a U-Net diffusion backbone, with cross-attention of audio embeddings (via an audio encoder) and reference video frames to guide generation, and applies a set of loss functions (temporal, perceptual, sync-net based) to enforce lip-sync accuracy, visual fidelity, and temporal consistency. Over versions, LatentSync has improved temporal stability and lowered resource requirements — making inference more practical (e.g. 8 GB VRAM for earlier versions, somewhat higher for latest models).
Features
- End-to-end lip-sync generation: video frames updated to match input audio without explicit motion rigs
- Audio-conditioned latent diffusion model, integrating audio embeddings with visual latents for synchronized output
- Support for both real video and stylized/animated input — flexible for dubbing, avatars, animation, social-content creation
- Temporal-consistency optimization (via additional losses) to reduce jitter, flicker and maintain smooth motion across frames
- Relatively modest inference requirements (inference possible with ~8–20 GB VRAM depending on version) for high-quality output
- Fully open-source: code, pretrained weights, and inference/training pipeline available for research or integration
Project Samples
