Generate realistic lip-sync animations from audio using advanced algorithms for high-quality facial synchronization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.025per run·~40 / $1
sync/lipsync-1.9.0-beta takes an existing video and a separate audio track, then reanimates the speaker’s mouth so the lips match the new speech. It’s a zero-shot lipsync model from Sync Labs—no training or cloning step required.
video* Required. Input video to be edited (URL or upload). Use a shot with a clearly visible face for best results.
audio* Required. Target speech track (URL or upload, e.g. MP3/WAV). The model will align lip movements to this audio.
sync_mode Controls behavior when video and audio durations differ. Options:
loop
bounce
cut_off
silence
remap
Choose how you want the shorter stream to be treated (looped, trimmed, padded with silence, or time-remapped).
Output: a new video where the speaker’s lips follow the uploaded audio.
Rate: $0.025 per second of processed video.
| Clip length (s) | Price (USD) |
|---|---|
| 5 | $0.13 |
| 10 | $0.25 |
| 20 | $0.50 |
| 30 | $0.75 |
| 60 | $1.50 |
You will only be charged for the actual duration of the input video after upload.
WaveSpeedAI / InfiniteTalk WaveSpeedAI’s single-avatar talking-head model that turns one photo plus audio into smooth, lip-synced digital presenter videos for tutorials, marketing, and social content.
WaveSpeedAI / InfiniteTalk Multi Multi-avatar version of InfiniteTalk that drives several characters in one scene from separate audio tracks, ideal for dialog-style explainers, interviews, and role-play videos.
Kwaivgi / Kling V2 AI Avatar Standard Cost-effective Kling-based AI avatar model that generates natural talking-face videos from a single reference image and voice track, suitable for everyday content and customer support.
Kwaivgi / Kling V2 AI Avatar Pro Higher-fidelity Kling V2 avatar model for premium digital humans, offering smoother motion, better lip-sync, and more stable faces for commercials, brand spokespeople, and product demos.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/sync/lipsync-1.9.0-beta with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Lipsync 1.9.0 Beta below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/sync/lipsync-1.9.0-beta" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"video": "https://example.com/your-input.mp4",
"audio": "https://example.com/your-audio.mp3",
"sync_mode": "cut_off"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("sync/lipsync-1.9.0-beta", {
"video": "https://example.com/your-input.mp4",
"audio": "https://example.com/your-audio.mp3",
"sync_mode": "cut_off"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"sync/lipsync-1.9.0-beta",
{
"video": "https://example.com/your-input.mp4",
"audio": "https://example.com/your-audio.mp3",
"sync_mode": "cut_off"
}
)
print(output["outputs"][0]) # → URL of the generated outputLipsync 1.9.0 Beta is a Sync model for talking-avatar generation, exposed as a REST API on WaveSpeedAI. Generate realistic lip-sync animations from audio using advanced algorithms for high-quality facial synchronization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/sync/sync-lipsync-1.9.0-beta.
Lipsync 1.9.0 Beta starts at $0.025 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `video`, `audio`, `sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/sync/sync-lipsync-1.9.0-beta.
Average end-to-end generation time on WaveSpeedAI is around 341 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Sync). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.