LipSync turns audio into lifelike talking videos by generating precise lip movements fully synced to input audio. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
就緒
$0.15每次運行·~66 / $10
Lipsync Audio-to-Video is an advanced AI-powered lip synchronization model that matches video lip movements to any audio track. Upload a video and audio file, and the model automatically adjusts the speaker's lips to perfectly sync with the new audio — ideal for dubbing, translation, and content localization.
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Audio file to sync (upload or public URL). |
| video | Yes | Video file with the face to be synced (upload or public URL). |
| Metric | Price |
|---|---|
| Per 5 seconds of audio | $0.15 |
| Minimum charge | $0.15 (5 seconds) |
| Maximum billable duration | 600 seconds (10 minutes) |
Total cost = (audio duration in seconds / 5) × $0.15
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/lipsync/audio-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Lipsync Audio To Video below.
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/bytedance/lipsync/audio-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"audio": "https://example.com/your-audio.mp3",
"video": "https://example.com/your-input.mp4"
}'
# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
--retry 4 --retry-all-errors --retry-delay 1 \
-X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.// npm install wavespeed
const { Client } = require('wavespeed');
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);
try {
const result = await client.run("bytedance/lipsync/audio-to-video", {
"audio": "https://example.com/your-audio.mp3",
"video": "https://example.com/your-input.mp4"
}, {
timeout: 3600,
pollInterval: 2.0,
});
console.log(result.outputs);
} catch (error) {
console.error('Generation failed:', error);
process.exitCode = 1;
}# pip install wavespeed
import os
from wavespeed import Client
client = Client(api_key=os.environ["WAVESPEED_API_KEY"])
try:
output = client.run(
"bytedance/lipsync/audio-to-video",
{
"audio": "https://example.com/your-audio.mp3",
"video": "https://example.com/your-input.mp4"
},
timeout=3600.0,
poll_interval=2.0,
)
print(output["outputs"])
except Exception as error:
raise SystemExit(f"Generation failed: {error}") from errorLipsync Audio To Video is a ByteDance model for talking-avatar generation, exposed as a REST API on WaveSpeedAI. LipSync turns audio into lifelike talking videos by generating precise lip movements fully synced to input audio. 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-lipsync-audio-to-video.
Lipsync Audio To Video starts at $0.15 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`. 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/bytedance/bytedance-lipsync-audio-to-video.
Average end-to-end generation time on WaveSpeedAI is around 193 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 (ByteDance). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.