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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.

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1

Input Selection

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

2

Face Detection

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

3

Motion Synthesis

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

4

Rendering

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

Q & A

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