# Lyria3 API

> Text-zu-Musik-Modell mit optionalem Bild für die Stimmung sowie Unterstützung für Gesang und Liedtexte

Komponiert einen Musiktitel aus einem Text-`prompt` mit bis zu 5000 Zeichen; Genre, Stimmung, Instrumentierung, Tempo und Gesangsstil können beschrieben werden. Ein optionales `image_url` liefert Inspiration für Stimmung und Thema. Das Ergebnis ist eine MP3-Audiodatei sowie gegebenenfalls ein `lyrics`-Textfeld. Negativ-Prompts werden nicht unterstützt.

- 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/de/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 | Musikgenerierungs-Prompt für Lyria 3, das Gesang und Liedtexte in mehreren Sprachen erzeugen kann. Beschreibe für beste Ergebnisse das gewünschte Genre und die Stimmung sowie Instrumentierung, Tempo und Gesangsstil. |
| `negative_prompt` |  | string | no | `` |  | Negative Prompts sind in Lyria 3 nicht verfügbar. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Optionale musikalische Inspiration über eine Bild-URL, wobei Stimmung und Thema des Bilds die vom Modell erzeugte Musik steuern. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Die Prüfung kann durch Setzen auf false gelockert werden, sofern der Aufrufer dazu berechtigt ist. |

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} | Musikausgabe im MP3-Format. |
| `lyrics` | string \| null | Songtext des Tracks, sofern zutreffend, entweder generiert oder bereitgestellt. |

## 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