# Lyria3 API

> 분위기를 위한 선택적 이미지를 입력하고 보컬과 가사를 지원하는 텍스트-투-뮤직 모델

최대 5000자의 텍스트 `prompt`에서 음악 트랙을 작곡하며 장르, 분위기, 악기 구성, 템포 및 보컬 스타일을 설명할 수 있습니다. 선택적 `image_url`은 분위기와 테마에 대한 영감을 제공합니다. 결과는 MP3 오디오 파일이며 해당하는 경우 `lyrics` 텍스트 필드가 포함됩니다. 네거티브 프롬프트는 지원되지 않습니다.

- Model id: `lyria3`
- Made by: Google
- Category: Text to Music
- Output: audio
- Price: $0.04 / request (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/lyria3`
- Quote: `POST https://api.doitong.com/v1/quote/lyria3`
- Docs page: https://doitong.com/ko/developers/models/lyria3

## Pricing

Price: **$0.04 / request**. Billed once per request.

The full example input below costs $0.04 = 40 API credits (1 request × 40 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/lyria3` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | 1 – 5000 characters | Lyria 3용 음악 생성 프롬프트입니다. 여러 언어로 보컬과 가사를 생성할 수 있습니다. 최상의 결과를 얻으려면 악기 구성, 템포, 보컬 스타일과 함께 원하는 장르와 분위기를 설명하세요. |
| `negative_prompt` |  | string | no | `` |  | Lyria 3에서는 네거티브 프롬프트를 사용할 수 없습니다. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | 이미지 URL로 제공하는 선택적 음악적 영감입니다. 이미지의 분위기와 테마가 모델이 만드는 음악을 안내합니다. |
| `enable_safety_checker` |  | boolean | no | `true` |  | 호출자에게 권한이 있으면 false로 설정해 검사를 완화할 수 있습니다. |

File parameters (`image`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/lyria3?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/lyria3?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/lyria3", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.com/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "lyria3",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "lyria3",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 40,
    "usd": "0.04",
    "charged": 40,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "audio": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
      "content_type": "audio/mpeg",
      "file_name": "0-output.mp3",
      "file_size": 1843200
    },
    "lyrics": "Caption: This is a high-energy Progressive House anthem, a subgenre of EDM defined by its massive scale and uplifting melodic content, all polished with a clean, powerful, and wide stereo production aesthetic. The rhythmic foundation is a punchy, heavily compressed four-on-the-floor kick drum, modeled after a classic Roland TR-909, providing a relentless pulse at 128 BPM. Supporting the kick are crisp, bright open hi-hats on the off-beats and a thick clap/snare layer on beats 2 and 4. The harmonic and melodic core is built from multiple synth layers: vast, shimmering supersaw synth pads play a soaring major-key chord progression; a powerful, monophonic sawtooth bassline plays the root notes and is aggressively side-chained to the kick drum to create the genre's signature 'pumping' effect. Above it all, a soaring supersaw lead synth—composed of multiple detuned sawtooth waves to create a thick, wide sound—plays a memorable, uplifting arpeggiated melody. A powerful, clean female vocal delivers the catchy hook, processed with significant hall reverb and delay to make it feel enormous and seamlessly blend with the synths. The entire instrumental bed (pads, lead, bass) is also heavily side-chained to the kick, ensuring every element ducks in volume with each beat to maximize the kick's punch and drive the track forward.\nMosic: 4.5\nBPM: 128.0"
  },
  "outputs": [
    {
      "type": "audio",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp3",
      "content_type": "audio/mpeg",
      "file_size": 1843200,
      "duration": 12,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `audio` | object {url, content_type, file_name, file_size} | MP3 형식의 음악 출력입니다. |
| `lyrics` | string \| null | 해당하는 경우 생성되거나 제공된 트랙 가사입니다. |

## Related models

- [Lyria 3 Pro](https://doitong.com/developers/models/lyria3/pro.md) (`lyria3/pro`): $0.08 / request
- [MiniMax Music 3](https://doitong.com/developers/models/minimax/music-3.md) (`minimax/music-3`): $0.002 / second
- [Lyria 3.5](https://doitong.com/developers/models/google/lyria-3.5.md) (`google/lyria-3.5`): $0.10 / request
- [Lyria2](https://doitong.com/developers/models/lyria2.md) (`lyria2`): $0.10 / run
- [ACE Step](https://doitong.com/developers/models/ace-step.md) (`ace-step`): $0.0002 / second
- [ACE Step Audio Inpaint](https://doitong.com/developers/models/ace-step/audio-inpaint.md) (`ace-step/audio-inpaint`): $0.0002 / second of input audio
- [ACE Step Audio Outpaint](https://doitong.com/developers/models/ace-step/audio-outpaint.md) (`ace-step/audio-outpaint`): $0.0002 / second of output audio
- [ACE Step Audio To Audio](https://doitong.com/developers/models/ace-step/audio-to-audio.md) (`ace-step/audio-to-audio`): $0.0002 / second of input audio

## Links

- HTML page: https://doitong.com/developers/models/lyria3
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=lyria3
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/lyria3