# Wan 2.7 Reference to Video API

> Ka hanga ataata e pupuri ana i ngā kaupapa o ngā atahanga, topenga tohutoro rānei, me ngā kōwhiringa kaupapa-maha me ngā pere-maha

Ka whakaputa ataata mai i tētahi tohutohu kuputuhi e hiahiatia ana, me ngā atahanga tohutoro (`reference_image_urls`) me ngā ataata tohutoro (`reference_video_urls`) e kawe ana i te āhua o te kiripuaki, mea rānei. Ka taea te whakakotahi i ngā tohutoro maha mō ngā tirohanga kaupapa-maha. Kōwhiria mai i ngā ōwehenga āhuatanga e rima, te 720p, te 1080p rānei, me te 2 ki te 10 hēkona. Whakaritea `multi_shots` ki true hei wāwāhi i te hua ki ētahi topenga maha, kaua ko tētahi hopunga haere tonu.

- 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/mi/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 | He whakaahuatanga o te ataata hei waihanga, he 5000 pūāhua te mōrahi. |
| `reference_image_urls` | `images` | array of image URL \| null | no |  |  | Ngā URL atahanga e whakaahua ana i te āhua o ngā kiripuaki, taonga rānei; kaua e neke ake ia kōnae i te 20 MB. Hei whakaputa kaupapa maha, tukuna ngā atahanga tohutoro maha. |
| `reference_video_urls` |  | array of video URL \| null | no |  |  | Ngā URL ataata e whakaahua ana i te āhua me te nekehanga o ngā kiripuaki, taonga rānei; mā te tuku i ngā ataata maha ka taea te whakaputa kaupapa maha. Kaua e neke ake ia kōnae i te 100 MB, i te 30 hēkona rānei. |
| `negative_prompt` |  | string \| null | no |  |  | He mea kāore e tika kia kitea i te ataata, ā, kaua e neke ake i te 500 pūāhua. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1`, `4:3`, `3:4` | Te ōwehenga āhuatanga mō te ataata ka puta. |
| `resolution` |  | enum (string) | no | `1080p` | `720p`, `1080p` | Te taumata taumira mō te ataata ka puta. |
| `duration` |  | enum (integer) | no | `5` | `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10` | Te roa o te ataata kua whakaputaina, i roto i ngā hēkona, mai i te 2 ki te 10. |
| `multi_shots` |  | boolean | no | `false` |  | Mana wehewehe hopunga: mā te taunoa false ka whakaputa i tētahi hopunga haere tonu, ā, mā true ka whakahohe i te wehewehe atamai ki ngā hopunga maha. |
| `seed` |  | integer \| null | no |  |  | Te kākano matapōkere mō ngā putanga ka taea te tārua, mai i te 0 ki te 2147483647. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Te āta tirotiro i te tāuru me te putanga, ka whakatinanahia ki ia tono ki te kore e whai mana te pūkete ki te whakakore, ā, kua whakawetohia te kōwhiringa. |

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} | Te kōnae ataata i whakaputaina. |
| `seed` | integer | Te uara kākano i whakamahia i te whakaputanga. |
| `actual_prompt` | string \| null | Te tohutohu i whakamahia tonutia i te wā i whakahohea ai te tuhi anō tohutohu. |

## 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