# PixVerse Lip Sync

> Re-sync a talking-head video's mouth to a new audio track and get it back at the exact frame size and frame rate you sent, with the speech already muxed in.

## Overview

- **Endpoint**: `https://queue.modelrunner.run/pixverse/lipsync`
- **Model ID**: `pixverse/lipsync`
- **Category**: video-to-video
- **Kind**: inference
- **Tags**: pixverse, pixverse-lipsync, lipsync, lip-sync, video-to-video, dubbing, video-dubbing, talking-head, re-voice, audio-driven, mouth-sync

## Pricing

- **Price**: $0.04 per output second

## Request Lifecycle

This model runs on the ModelRunner **asynchronous queue API** — a single POST does not return the output. Every call requires an `Authorization: Key $MODEL_RUNNER_KEY` header. Run three steps:

1. **Submit** — `POST https://queue.modelrunner.run/pixverse/lipsync` with a JSON body holding the input fields at the top level. The body may also include a reserved top-level `metadata` object — a flat string map (max 16 keys, key ≤64 / value ≤512 chars) stored on the request for your own tagging. It is never sent to the model; filter your request history with `GET https://queue.modelrunner.run/requests?metadata=<url-encoded JSON>` (exact key=value matches, AND-ed). The response carries request handles only (no output yet):

```json
{
  "status": "IN_QUEUE",
  "request_id": "<21-char id>",
  "status_url": "https://queue.modelrunner.run/pixverse/lipsync/requests/<request_id>/status",
  "response_url": "https://queue.modelrunner.run/pixverse/lipsync/requests/<request_id>",
  "cancel_url": "https://queue.modelrunner.run/pixverse/lipsync/requests/<request_id>/cancel"
}
```

2. **Poll status** — `GET <status_url>` until `status` is `COMPLETED`. Possible values are `IN_QUEUE`, `IN_PROGRESS`, `COMPLETED`, `FAILED`, `CANCELLED`. A `FAILED` request responds with HTTP 400 and an `error` field.

3. **Read result** — `GET <response_url>`. Returns the finished request, including the generated `output`:

```json
{ "id": "<request_id>", "status": "COMPLETED", "output": ..., "input": ... }
```

The JavaScript and Python SDKs below perform steps 2–3 for you. In any language without an SDK (Swift, Go, Kotlin, etc.) you must implement the polling loop and the final result fetch yourself — see the cURL example for the full flow.

### Input Schema

- **`audio_url`** (`string`, _required_):
  URL of the speech track the speaker should appear to say. Required. The delivered video carries this track as its soundtrack, so a silent source clip comes back playable. A source clip longer than this track is trimmed to it; there is no setting for the reverse case, where the track outruns the clip. PixVerse documents support for multiple languages and for audio types beyond dialogue — including singing and advertisement reads — and a 60-second maximum on both inputs.

- **`video_url`** (`string`, _required_):
  URL of the source video to re-sync. The result keeps this clip's frame size and frame rate exactly: no rescale and no frame-rate normalisation. Source video running past the end of the audio is trimmed to the speech; there is no setting for the reverse case, where the audio outruns the clip.

### Output Schema

_No `Output` schema properties are available._

## Default Example

**Input**

```json
{
  "audio_url": "https://media.modelrunner.ai/RhJnozRe7Vf3J1mSdbyrh.wav",
  "video_url": "https://media.modelrunner.ai/SFFJHAnFJaG7lFgQ9Ie95.mp4"
}
```

**Output**

```json
"https://media.modelrunner.ai/sS7UhGT2y7wi5WgMlEjAs.mp4"
```
## Usage Examples

### cURL

The queue API is asynchronous: submit the request, poll `status_url` until it is `COMPLETED`, then read the result from `response_url`. Requires `jq`.

```bash
# 1. Submit the request (returns request handles, not the output)
SUBMIT=$(curl --silent --request POST \
  --url https://queue.modelrunner.run/pixverse/lipsync \
  --header "Authorization: Key $MODEL_RUNNER_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "audio_url": "https://media.modelrunner.ai/RhJnozRe7Vf3J1mSdbyrh.wav",
  "video_url": "https://media.modelrunner.ai/SFFJHAnFJaG7lFgQ9Ie95.mp4"
}')

STATUS_URL=$(echo "$SUBMIT" | jq -r '.status_url')
RESPONSE_URL=$(echo "$SUBMIT" | jq -r '.response_url')

# 2. Poll until the request leaves the queue / in-progress state
while true; do
  STATUS=$(curl --silent --url "$STATUS_URL" \
    --header "Authorization: Key $MODEL_RUNNER_KEY" | jq -r '.status')
  echo "Status: $STATUS"
  case "$STATUS" in
    COMPLETED) break ;;
    FAILED|CANCELLED) echo "Request $STATUS"; exit 1 ;;
  esac
  sleep 1
done

# 3. Read the finished request, including the generated output
curl --silent --url "$RESPONSE_URL" \
  --header "Authorization: Key $MODEL_RUNNER_KEY"
```

### JavaScript

```javascript
import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("pixverse/lipsync", {
  input: {
  "audio_url": "https://media.modelrunner.ai/RhJnozRe7Vf3J1mSdbyrh.wav",
  "video_url": "https://media.modelrunner.ai/SFFJHAnFJaG7lFgQ9Ie95.mp4"
}
});

console.log(result.data);
```

### Python

```python
import asyncio
import modelrunner_ai

async def main():
    response = await modelrunner_ai.submit_async(
        "pixverse/lipsync",
        arguments={
  "audio_url": "https://media.modelrunner.ai/RhJnozRe7Vf3J1mSdbyrh.wav",
  "video_url": "https://media.modelrunner.ai/SFFJHAnFJaG7lFgQ9Ie95.mp4"
}
    )
    result = await response.get()
    print(result["output"])

asyncio.run(main())
```

## Additional Resources

- [Playground](https://modelrunner.ai/models/pixverse/lipsync)
- [OpenAPI Schema](https://modelrunner.ai/models/pixverse/lipsync/openapi.json)
- [LLM Instructions](https://modelrunner.ai/models/pixverse/lipsync/llms.txt)