Latentsync

Latentsync

Playground

LatentSync synchronizes video and audio inputs to generate seamless synchronized content. Perfect for lip-syncing, audio dubbing, and video-audio alignment tasks.

Features

LatentSync — Audio-to-Video Lip Sync

LatentSync is a state-of-the-art end-to-end lip-sync framework built on audio-conditioned latent diffusion. It turns your talking-head videos into perfectly synchronized performances while preserving high-resolution details and natural expressions.

🌟 Key Capabilities

End-to-End Lip Synchronization

Transform any talking-head clip into a lip-synced video:

• Takes a source video plus target audio as input
• Generates frame-accurate mouth movements without 3D meshes or 2D landmarks
• Preserves identity, pose, background and global scene structure

High-Resolution Talking Heads

Built on latent diffusion to deliver:

• Sharp, detailed faces at high resolution
• Natural facial expressions and subtle mouth shapes
• Works for both real and stylized (e.g., anime) characters from the reference video

Temporal Consistency

LatentSync introduces Temporal REPresentation Alignment (TREPA) to:

• Reduce flicker, jitter and frame-to-frame artifacts
• Keep head pose, lips and jaw motion stable over long sequences
• Maintain smooth, coherent motion at video frame rates

Multilingual & Robust

Designed for real-world content:

• Supports multiple languages and accents
• Robust to different speakers and recording conditions
• Handles a variety of video styles and camera setups

🎬 Core Features

• Audio-Conditioned Latent Diffusion — Directly models audio–visual correlations in the latent space for efficient, high-quality generations.
• TREPA Temporal Alignment — Uses temporal representations to enforce consistency across frames.
• Improved Lip-Sync Supervision — Refined training strategies for better lip–audio alignment on standard benchmarks.
• Resolution Flexibility — Supports HD talking-head synthesis with controllable output resolution and frame rate.
• Open-Source Ecosystem — Public code, checkpoints and simple CLI/GUI tools for quick integration into your pipeline.

🚀 How to Use

1. Prepare Source Video
   Provide a clear talking-head clip (.mp4) of the identity you want to animate. Please at least upload a video with resolution higher than 480p. Higher resolutions (720p, 1080p and 4k) are recommended.

   • Face should be visible and mostly unobstructed
   • Stable framing (minimal extreme motion) works best

2. Provide Target Audio
   Upload the speech you want the subject to say (e.g., .wav, .mp3).

   • Use clean audio with minimal background noise
   • Trim leading/trailing silence if possible

3. Run Inference
   The system will generate a lip-synced talking-head video aligned with your audio.

💰 Pricing

Minimum price: $0.15,

• If the audio is less than 5 seconds. The minimum price will be $0.15
• And the price will adapted based on the duration of input audio

💡 Pro Tips

• Use high-quality, well-lit source videos with a clear view of the mouth.
• Keep audio clean and dry — avoid heavy music, echo, and strong background noise.
• For long speeches, consider segmenting audio into shorter chunks to improve stability and resource usage.
• Match the frame rate of the output video to your target platform (e.g., 24/25/30 FPS).
• If you encounter artifacts, try:
  • Slightly lowering resolution
  • Increasing sampling steps
  • Choosing a video segment where the head is more stable

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/latentsync" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"