# AI Avatar Multi Text API

> 1枚の画像から、各話者の台本と音声を指定した2人の会話動画を作成します

1枚の画像を2人の会話にアニメーション化します。セリフとして`first_text_input`と`second_text_input`、`prompt`を指定し、プリセット音声から`voice1`と`voice2`を選びます。出力は480pまたは720pで、`num_frames`は41～241です。`acceleration`にはnone、regular、highを指定できます。

- Model id: `ai-avatar/multi-text`
- Made by: Open model
- Category: Lipsync & Avatars
- Output: video
- Estimated price per run: from $0.648 / run (cheapest run $0.648 (648 API credits))
- Run: `POST https://api.doitong.com/v1/run/ai-avatar/multi-text`
- Quote: `POST https://api.doitong.com/v1/quote/ai-avatar/multi-text`
- Docs page: https://doitong.com/ja/developers/models/ai-avatar/multi-text

## Pricing

Price: **from $0.648 / run** (the lowest tier; the quote prices your exact input). Estimated from the typical cost of one run. The quote is exactly what the run charges.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `num_frames` > 191 and `resolution` = 720p: base price × 4.5
- When `num_frames` ≤ 191 and `resolution` = 720p: base price × 2.25
- When `num_frames` > 191 and `resolution` = 480p: base price × 2

The full example input below costs $0.648 = 648 API credits (1 request × 648 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/ai-avatar/multi-text` 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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | ソース画像 URL。選択したアスペクト比によって前処理の要否が決まり、不一致の場合はリサイズ後に中央クロップされます。 |
| `first_text_input` |  | string | yes |  |  | 動画生成プロセスを指示するテキスト。 |
| `second_text_input` |  | string | yes |  |  | 動画生成プロセスを指示するテキスト。 |
| `voice1` |  | enum (string) | no | `Sarah` | `Aria`, `Roger`, `Sarah`, `Laura`, `Charlie`, `George`, `Callum`, `River`, `Liam`, `Charlotte`, `Alice`, `Matilda`, `Will`, `Jessica`, `Eric`, `Chris`, `Brian`, `Daniel`, `Lily`, `Bill` | 音声生成時に Person 1 に割り当てる音声。 |
| `voice2` |  | enum (string) | no | `Roger` | `Aria`, `Roger`, `Sarah`, `Laura`, `Charlie`, `George`, `Callum`, `River`, `Liam`, `Charlotte`, `Alice`, `Matilda`, `Will`, `Jessica`, `Eric`, `Chris`, `Brian`, `Daniel`, `Lily`, `Bill` | 音声生成時に Person 2 に割り当てる音声。 |
| `prompt` |  | string | yes |  |  | 動画生成を導くテキスト指示。 |
| `num_frames` |  | integer | no | `191` | 41 – 241 | 生成時のフレーム数。81 から 129 まで（両端を含む）。 |
| `resolution` |  | enum (string) | no | `480p` | `480p`, `720p` | 出力動画の解像度。480p と 720p のみ対応しています。 |
| `seed` |  | integer | no | `81` | 0 – 4,294,967,295 | 生成を再現可能にするシード。None に設定するとシードをランダムに選択します。 |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | 生成時に適用するアクセラレーションレベル。 |
| `enable_safety_checker` |  | boolean | no | `true` |  | 呼び出し元に権限がある場合、false に設定するとスクリーニングを緩和できます。 |

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
{
  "image": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
  "first_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "second_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
  "first_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "second_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "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/ai-avatar/multi-text?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
    "first_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "second_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "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/ai-avatar/multi-text?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
    "first_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "second_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "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 = {
    "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
    "first_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "second_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "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/ai-avatar/multi-text", 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": "ai-avatar/multi-text",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
        "first_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "second_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "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": "ai-avatar/multi-text",
  "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": 648,
    "usd": "0.648",
    "charged": 648,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/avatar/talking_avatar.jpg",
    "first_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "second_text_input": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    },
    "seed": 42
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | 生成された動画ファイル。 |
| `seed` | integer | 生成時に適用したシード値。 |

## Related models

- [AI Avatar Multi](https://doitong.com/developers/models/ai-avatar/multi.md) (`ai-avatar/multi`): from $0.20 / second of output video
- [AI Avatar Single Text](https://doitong.com/developers/models/ai-avatar/single-text.md) (`ai-avatar/single-text`): from $4.688 / run
- [Kling AI Avatar 2.0 Pro](https://doitong.com/developers/models/kling-video/ai-avatar/v2/pro.md) (`kling-video/ai-avatar/v2/pro`): $0.115 / second of input audio
- [Sync Lipsync 3](https://doitong.com/developers/models/sync-lipsync/v3.md) (`sync-lipsync/v3`): $8.00 / minute of output video
- [VEED Fabric 1.0](https://doitong.com/developers/models/veed/fabric-1.0.md) (`veed/fabric-1.0`): from $0.08 / second of input audio
- [Flashhead](https://doitong.com/developers/models/flashhead.md) (`flashhead`): $0.068 / run
- [Flashtalk](https://doitong.com/developers/models/flashtalk.md) (`flashtalk`): $0.02 / second of input audio
- [Sad Talker](https://doitong.com/developers/models/sadtalker.md) (`sadtalker`): $0.00125 / second of processing time

## Links

- HTML page: https://doitong.com/developers/models/ai-avatar/multi-text
- 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=ai-avatar/multi-text
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/ai-avatar/multi-text