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LatentSync
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LatentSync

Connecting Voice to Vision with High-Fidelity Diffusion.

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LatentSync is a cutting-edge, open-source lip-synchronization framework powered by Audio-Conditioned Latent Diffusion Models. By integrating Whisper audio embeddings with advanced temporal alignment (TREPA), it transforms arbitrary audio and video inputs into photorealistic, high-resolution (512x512) talking head videos. Designed for creators, researchers, and developers, LatentSync eliminates the "blurry mouth" artifacts of legacy models, delivering cinema-grade synchronization with superior temporal stability and visual fidelity.

Example Image
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Features

Latent Diffusion Architecture: Harnesses the generative power of Stable Diffusion for photorealistic texture synthesis.


Whisper Audio Integration: Advanced audio encoding for precise phoneme-to-viseme matching.


Multi-Resolution Support: Capable of handling high-definition video inputs (up to 512x512 native training resolution).


Temporal Consistency Layers: Specialized model layers designed to maintain identity and motion smoothness across video frames.


Dual-Version Compatibility: Codebase supports both v1.5 (efficient) and v1.6 (high-quality) checkpoints.


Gradient Checkpointing: Optimized memory management for training and inference on consumer workstations (RTX 3090/4090).

Use Cases

Film & Animation Dubbing: Automatically synchronizing actors' lip movements to new foreign language audio tracks for localization without reshooting.


Virtual Avatar Creation: Powering realistic Non-Player Characters (NPCs) in games or virtual assistants in customer service interfaces that react dynamically to user audio.


Content Creation & Social Media: Enabling influencers to "speak" in multiple languages or correct audio errors in post-production without "jump cuts."


Educational Courseware: Updating legacy lecture videos with new audio narratives while maintaining visual engagement with the instructor.


Restoration: Enhancing low-quality or out-of-sync archival footage to match restored audio tracks.

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