LatentSync

byByteDance

Synchronize high-resolution dialogue video to any vocal track with lifelike skin texture and sharp dental fidelity

How LatentSync works

Transform existing footage into naturally synchronized dialogue in three simple stages.

LatentSync talking-head video input node with a five-second preview and blue video socket

Upload talking-head video

Provide a high-resolution, front-facing video clip with clear lighting and an unobstructed mouth.

LatentSync vocal audio input node with a five-second player and purple audio socket

Attach clean vocal audio

Supply a clean vocal track or voiceover recording with minimal background noise.

LatentSync talking-head video input node with a five-second preview and blue video socket

Tune guidance and generate

Adjust the guidance scale between 1.0 and 2.0, select a loop mode, and generate synced video.

What LatentSync is good at

Built on latent diffusion and audio-visual cross-attention, LatentSync preserves natural facial anatomy and skin texture across every frame.

Latent-Space Facial Synthesis

Operates directly inside latent diffusion space to preserve microscopic skin pores, lip texture, and dental geometry without the smearing or blurry mouth boundaries typical of legacy GAN models.

Temporal Motion Coherence

Employs Temporal Representation Alignment to bind speech phonemes to facial motion, eliminating temporal flickering and keeping jaw movement stable across consecutive frames.

Adjustable Guidance Scale

Fine-tune vocal adherence between 1.0 and 2.0, balancing subtle natural lip motion at standard speech tempos against intense articulation for fast dialogue.

Continuous Video Looping

Configure pingpong or standard loop modes to seamlessly cycle talking-head video clips when the input audio duration exceeds the video footage length.

Made with LatentSync

Explore high-fidelity lip-sync examples spanning commercial campaigns, cinematic dubbing, and editorial portraits.

Editorial spoken-word performance with high-contrast color grading

Cinematic music-video portrait with atmospheric lighting

Vertical social-media creator instructional monologue

E-commerce product presentation with precise consonant sync

What people build with LatentSync

Discover how localization studios, filmmakers, and digital creators dub dialogue without sacrificing visual realism.

Multilingual Video Localization

01

Dub commercial campaigns into new languages while maintaining exact skin texture and convincing lip movement for global markets.

Cinematic Dialogue Replacement

02

Replace dialogue in film and television scenes without expensive reshoots, preserving actor facial micro-expressions and high-frequency details.

Virtual Avatar Broadcasting

03

Drive photorealistic digital human avatars and automated presenters with dynamic voice recordings for daily content streams.

High-Definition Commercial Dubbing

04

Re-voice high-definition beauty and skincare advertisements where realistic lip contours and sharp teeth rendering cannot look synthetic.

Educational Lecture Translation

05

Translate academic and training video courses into diverse languages, keeping instructors naturally synchronized with localized lectures.

LatentSync specs

Plans and credits
Inputs
Video, Audio
Output
video
Cost
689 credits per run

Frequently Asked Questions

LatentSync performs lip synchronization directly in the latent space of Stable Diffusion rather than relying on pixel-space GANs. This architectural approach eliminates blurry mouth patches and artificial skin rings, preserving fine skin pores, lip creases, and individual dental structures for seamless realism.

Use front-facing source clips at 512x512 resolution or higher with consistent facial lighting and unobstructed mouth views. Pair with isolated mono voice recordings free from heavy background noise or music. Pre-trimming video clips to 5 to 15 seconds prevents temporal drift and maximizes synchronization precision.

The guidance scale ranges from 1.0 to 2.0 and determines how strictly the diffusion model tracks spoken phonemes. A scale of 1.5 offers the best balance between sharp articulation and facial stability. Lower values toward 1.0 reduce edge tension, while values up to 2.0 enforce rapid consonant articulation.

Choose pingpong mode for stationary talking-head clips where reversing frames creates an imperceptible back-and-forth flow. Select loop mode when the source clip contains directional head motion or background movements that require continuous one-way visual momentum.

Avoid stylized 2D cartoons, anime characters, and clips with extreme side-profile angles. LatentSync also struggles when objects such as hands, microphones, or cups occlude the mouth, which interferes with face-tracking bounding boxes.

LatentSync was developed by ByteDance and introduced in December 2024 as an open-source latent diffusion framework for audio-conditioned lip-sync animation.

Try LatentSync on Fuser

Synchronize high-resolution dialogue video to any vocal track with lifelike skin texture and sharp dental fidelity