# Wan 2.7 Reference to Video API

> Анықтамалық кескіндердегі немесе клиптердегі нысандарды сақтайтын бейне жасайды, бірнеше нысан мен кадрды қолдайды

Міндетті мәтіндік нұсқау мен кейіпкердің немесе нысанның сыртқы бейнесін беретін анықтамалық кескіндер (`reference_image_urls`) және бейнелерден (`reference_video_urls`) бейне генерациялайды. Бірнеше нысаны бар көріністер үшін бірнеше анықтаманы біріктіруге болады. Бес қатынас арақатынасының бірін, 720p немесе 1080p ажыратымдылығын және 2-10 секундты таңдаңыз. Нәтижені біртұтас түсірілімнің орнына бірнеше кадрға бөлу үшін `multi_shots` мәнін true етіп орнатыңыз.

- Model id: `wan/v2.7/reference-to-video`
- Made by: Alibaba
- Category: Reference to Video
- Output: video
- Price per second of your output video: $0.10 / second of output video (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.com/v1/run/wan/v2.7/reference-to-video`
- Quote: `POST https://api.doitong.com/v1/quote/wan/v2.7/reference-to-video`
- Docs page: https://doitong.com/kk/developers/models/wan/v2.7/reference-to-video

## Pricing

Price: **$0.10 / second of output video**. Price per second of your output video: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.50 = 500 API credits (5 s output video × $0.10).

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/wan/v2.7/reference-to-video` 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 characters | Жасалатын бейненің сипаттамасы, 5000 таңбамен шектелген. |
| `reference_image_urls` | `images` | array of image URL \| null | no |  |  | Кейіпкерлердің немесе нысандардың сыртқы көрінісін анықтайтын кескін URL мекенжайлары; әр файл 20 MB көлемімен шектеледі. Бірнеше нысан генерациялау үшін бірнеше анықтамалық кескін беріңіз. |
| `reference_video_urls` |  | array of video URL \| null | no |  |  | Кейіпкерлердің немесе нысандардың сыртқы көрінісі мен қозғалысын анықтайтын бейне URL мекенжайлары; бірнеше бейне беру бірнеше нысанмен генерациялауға мүмкіндік береді. Әр файл 100 MB-тан аспауы және 30 секундтан ұзақ болмауы тиіс. |
| `negative_prompt` |  | string \| null | no |  |  | Бейне қамтымауы тиіс мазмұн, 500 таңбамен шектеледі. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1`, `4:3`, `3:4` | Нәтижедегі бейненің арақатынасы. |
| `resolution` |  | enum (string) | no | `1080p` | `720p`, `1080p` | Нәтижедегі бейненің ажыратымдылық деңгейі. |
| `duration` |  | enum (integer) | no | `5` | `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10` | Генерацияланған бейненің ұзақтығы, секундпен, 2-ден 10-ға дейін. |
| `multi_shots` |  | boolean | no | `false` |  | Кадрлау сегментациясын басқару: әдепкі `false` бір үздіксіз кадр жасайды, ал `true` бірнеше кадрға интеллектуалды сегментациялауды қосады. |
| `seed` |  | integer \| null | no |  |  | Қайта өндіруге болатын нәтижелерді беретін кездейсоқ seed, 0-ден 2147483647-ге дейін. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Кіріс пен шығысты модерациялау әр сұрауда міндетті түрде орындалады, егер есептік жазба иесіне оны өшіруге рұқсат беріліп, опция сөндірілмесе. |

File parameters (`images`, `reference_video_urls`) 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/wan/v2.7/reference-to-video?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/wan/v2.7/reference-to-video?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/wan/v2.7/reference-to-video", 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": "wan/v2.7/reference-to-video",
      "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": "wan/v2.7/reference-to-video",
  "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": 500,
    "usd": "0.50",
    "charged": 500,
    "refunded": 0
  },
  "input": {
    "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,
      "width": 1024,
      "height": 768,
      "fps": 1.0,
      "duration": 5,
      "num_frames": 1
    },
    "seed": 42,
    "actual_prompt": "string"
  },
  "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, width, height, fps, duration, num_frames} | Генерация нәтижесінде алынған бейне файлы. |
| `seed` | integer | Генерация кезінде қолданылатын seed мәні. |
| `actual_prompt` | string \| null | Нұсқауды қайта жазу қосылған кезде нақты қолданылған нұсқау. |

## Related models

- [Wan Text to Video](https://doitong.com/developers/models/wan/v2.7/text-to-video.md) (`wan/v2.7/text-to-video`): from $0.10 / second
- [Wan · v2.7 · Image to Video](https://doitong.com/developers/models/wan/v2.7/image-to-video.md) (`wan/v2.7/image-to-video`): from $0.10 / second
- [Wan · v2.7 · Edit Video](https://doitong.com/developers/models/wan/v2.7/edit-video.md) (`wan/v2.7/edit-video`): from $0.10 / second of output video
- [Wan 3.0 Reference to Video](https://doitong.com/developers/models/alibaba/wan-3.0/reference-to-video.md) (`alibaba/wan-3.0/reference-to-video`): from $0.05 / second
- [Seedance 2.0 Fast Reference to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/reference-to-video.md) (`bytedance/seedance-2.0/fast/reference-to-video`): from $0.113 / second
- [Seedance 2.0 Reference to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/reference-to-video.md) (`bytedance/seedance-2.0/reference-to-video`): from $0.141 / second
- [Alibaba V2.6 · Reference to Video · Flash](https://doitong.com/developers/models/wan/v2.6/reference-to-video/flash.md) (`wan/v2.6/reference-to-video/flash`): from $0.05 / second of output video
- [Happy Horse 1.1 Reference to Video](https://doitong.com/developers/models/alibaba/happy-horse/v1.1/reference-to-video.md) (`alibaba/happy-horse/v1.1/reference-to-video`): from $0.14 / second

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.7/reference-to-video
- 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=wan/v2.7/reference-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wan/v2.7/reference-to-video