# AI Avatar Multi Text API

> Skapar en video där två personer talar från en bild, med ett manus och en vald röst för varje talare

Animerar en bild till ett samtal mellan två personer. Ange `first_text_input` och `second_text_input` som repliker, plus en `prompt`, och välj `voice1` och `voice2` bland de förinställda rösterna. Utdata är 480p eller 720p, med `num_frames` från 41 till 241. Inställningen `acceleration` kan vara none, regular eller high.

- 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/sv/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 |  |  | URL till källbilden, där det valda bildförhållandet avgör om förbehandling behövs: en avvikelse utlöser storleksändring följt av beskärning från mitten. |
| `first_text_input` |  | string | yes |  |  | Text som styr videogenereringsprocessen. |
| `second_text_input` |  | string | yes |  |  | Text som styr videogenereringsprocessen. |
| `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` | Röst som tilldelas den första personen vid talgenerering. |
| `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` | Röst som tilldelas den andra personen vid talgenerering. |
| `prompt` |  | string | yes |  |  | Textinstruktioner som vägleder videogenereringen. |
| `num_frames` |  | integer | no | `191` | 41 – 241 | Antal bildrutor för genereringen, från och med 81 till och med 129. |
| `resolution` |  | enum (string) | no | `480p` | `480p`, `720p` | Upplösning för utdata-video; endast 480p och 720p stöds. |
| `seed` |  | integer | no | `81` | 0 – 4,294,967,295 | Seed som gör genereringen reproducerbar. Om det ställs in på None väljs ett seed slumpmässigt. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Accelerationsnivå som tillämpas under genereringen. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Granskningen kan lättas genom att ange false, om anroparen är behörig. |

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} | Videofil som skapats genom generering. |
| `seed` | integer | Seed-värde som tillämpas under genereringen. |

## 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