Avatar Lipsync Models

Drive realistic talking heads with audio. WaveSpeed hosts state-of-the-art lip synchronization models that map speech to video with frame-perfect accuracy. Whether animating a static portrait or dubbing a video into a new language, generate natural mouth movements and facial expressions that match any audio track.

Create Lipsync Video View API Docs

Synchronization Capabilities

Choose the right model for your specific avatar needs.

1. Image-to-Video Talking Head (SadTalker / EMO)

Generate lifelike talking head videos from a single portrait image and an audio clip. SadTalker models 3D facial motion coefficients for natural head movement, while EMO (Emote Portrait Alive) produces expressive, full-body upper animations with emotional nuances. Best for digital avatars, online education, and personalized marketing. Pair with Speech Generation models to create audio from text, or use InfiniteTalk for end-to-end conversational avatars.

2. Video-to-Video Dubbing (VideoReTalking / LatentSync)

Re-sync lip movements in an existing video to match new audio in any language. VideoReTalking decouples facial identity from mouth motion so the speaker's likeness is preserved while perfectly matching translated speech. LatentSync operates in latent space for faster inference and sharper lip details. Best for film dubbing, multilingual corporate training, and content localization. Combine with best open-source video models for full production pipelines.

3. Real-Time Streaming (MuseTalk)

Power live-stream avatars and interactive video calls with sub-200ms latency lip-sync. MuseTalk generates mouth textures on the fly from a streaming audio feed, enabling real-time virtual presenters and AI customer service agents. Best for live commerce, virtual receptionists, and interactive gaming NPCs. Available on WaveSpeed.

How to Sync Audio to Video

A simplified pipeline for generating talking avatars.

Input Selection

Upload your visual asset (a photo or video clip) and your audio asset (voice recording or TTS output from Speech Generation).

Face Detection

The AI identifies facial landmarks, focusing on the jaw, lips, and tongue region for precise synchronization.

Motion Synthesis

The model analyzes audio waveform phonemes and predicts corresponding mouth shapes for every video frame.

Rendering

The new mouth region is seamlessly blended onto the original face, adjusting lighting and skin texture with no visible seams.

Q & A

Does it work with any language?

Yes. Lipsync models are trained on phonemes (sounds), not specific languages. Whether the audio is in English, Japanese, Hindi, or a made-up fantasy language, the AI syncs the mouth movement to the sound waves accurately.

Can I use my own voice?

Absolutely. You can upload any audio file (WAV/MP3), whether it's a real human recording or AI-generated text-to-speech from tools like ElevenLabs or OpenAI.

Does the head move?

If you use an Image-to-Video model like SadTalker, the AI will generate natural head movement and eye blinking. If you use a Video-to-Video model like VideoReTalking, it usually preserves the original head motion and only modifies the lips.

How fast is the generation?

WaveSpeed optimizes these models for speed. Offline generation (high quality) typically processes at 0.5x real-time (e.g., a 10s video takes 5s to generate). Real-time models (MuseTalk) can process faster than real-time for live interaction.

Is the resolution limited?

Most base models output at 512x512 or 720p specifically for the face region. However, WaveSpeed includes a "Face Enhancer" (GFPGAN) step in the pipeline to upscale the face and composite it back into 1080p or 4K videos.