LTX-2.3 Lipsync generates talking head videos from audio with synchronized lip movements and natural facial expressions. Built on DiT-based architecture with improved audio-visual alignment quality. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.1per run·~10 / $1
LTX-2.3 Lipsync is an advanced AI model that generates talking head videos from audio and an optional reference image. Built on the LTX-2.3 DiT-based architecture with improved audio-visual quality, it creates realistic lip-synced videos that match your audio input.
Improved quality Enhanced audio-visual alignment with better lip sync accuracy and natural facial movements.
Audio-driven generation Automatically generates video with synchronized lip movements from audio input.
Optional reference image Provide a portrait image to use as the base, or let the model use a default portrait.
Flexible resolution Supports 480p, 720p, and 1080p outputs to balance quality and cost.
Automatic duration Video length automatically matches audio duration (5-20 seconds).
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Audio file URL - duration determines video length (5-20s) |
| image | No | Reference portrait image (optional) |
| prompt | No | Text prompt to guide generation style and motion |
| resolution | No | Output resolution: 480p, 720p (default), or 1080p |
| seed | No | Random seed for reproducibility (-1 for random) |
| Resolution | Best For |
|---|---|
| 480p | Fast previews, iteration, lowest cost |
| 720p | Balanced quality and cost (default) |
| 1080p | Final delivery, maximum detail |
Pricing is based on audio duration (automatically detected):
| Resolution | 5s | 10s | 15s | 20s |
|---|---|---|---|---|
| 480p | $0.10 | $0.20 | $0.30 | $0.40 |
| 720p | $0.15 | $0.30 | $0.45 | $0.60 |
| 1080p | $0.20 | $0.40 | $0.60 | $0.80 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3/lipsync 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 Ltx 2.3 Lipsync below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3/lipsync" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"audio": "https://example.com/your-audio.mp3",
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "720p",
"seed": -1
}'
# 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("wavespeed-ai/ltx-2.3/lipsync", {
"audio": "https://example.com/your-audio.mp3",
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "720p",
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/ltx-2.3/lipsync",
{
"audio": "https://example.com/your-audio.mp3",
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"resolution": "720p",
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputLtx 2.3 Lipsync is a WaveSpeedAI model for talking-avatar generation, exposed as a REST API on WaveSpeedAI. LTX-2.3 Lipsync generates talking head videos from audio with synchronized lip movements and natural facial expressions. Built on DiT-based architecture with improved audio-visual alignment quality. 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/wavespeed-ai/ltx-2.3-lipsync.
Ltx 2.3 Lipsync starts at $0.10 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: `prompt`, `image`, `audio`, `resolution`, `seed`. 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/wavespeed-ai/ltx-2.3-lipsync.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.