# Wan v2.2 A14B API

> Animerte ovtta stahtalaš gova klippan, eaktodáhtolaš loahpparámmain, rámma-interpoleremiin ja dárkilis sampling-heivehemiin

Rievdada ovtta `image_url`-a ja teavstaprompta videon, ja eaktodáhtolaš `end_image_url` sáhttá mearridit loahpparámma. Boahtos lea 480p, 580p dahje 720p, auto, 16:9, 9:16 dahje 1:1, 17 rájes 161 rámman ja 4 rájes 60 rámma sekundii. Sampling sáhttá heivehuvvot inferensalávkkiiguin, guokte stivrenmeariin, shift:ain, negative prompt:ain ja seed:ain. Rámma-interpoleren lea vejolaš film- dahje rife-válljejumiiguin.

- Model id: `wan/v2.2-a14b/image-to-video`
- Made by: Alibaba
- Category: Image to Video
- Output: video
- Price per second of your output video: from $0.04 / second of output video (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-a14b/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/image-to-video`
- Docs page: https://doitong.com/se/developers/models/wan/v2.2-a14b/image-to-video

## Pricing

Price: **from $0.04 / second of output video** (the lowest tier; the quote prices your exact input). 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.

Price by tier:

- 480p: $0.04 / second of output video
- 580p: $0.06 / second of output video
- 720p: $0.08 / second of output video

The full example input below costs $0.405 = 405 API credits (5.0625 s output video × $0.08 (720p)).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/image-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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | Gáldogovva URL; válljejuvvon govvaráio mearrida dárbbašuvvo go ovdameannudeapmi: eahpeheivehus dagaha sturrodaddama ja dasto guovddáš-govvema. |
| `prompt` |  | string | yes |  |  | Teakstačilgehusat, mat stivrejit video-ráhkadeami. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Rámmaid lohku ráhkadeamis, 17–161 rádjai, goappaš bealit fárus. |
| `frames_per_second` |  | integer \| null | no | `16` | 4 – 60 | Ráhkaduvvon video rámmajohtalus, árvvut 4 gitta 60 rádjai; `adjust_fps_for_interpolation` false:i bidjá dán johtalusa rievdatkeahttá. Interpolášuvnna geavahettiin ja `adjust_fps_for_interpolation` true:in (dan standárdaárvu), máŋge dán johtalusa interpolerejuvvon rámmaid lohkui ovdal go oaččut loahpalaš FPS:a. Ovdamearka: 16 FPS ja 1 interpolerejuvvon rámma šaddá 32 FPS. |
| `negative_prompt` |  | string | no | `` |  | Negatiiva bivdda mii geavahuvvo video ráhkadeamis. |
| `seed` |  | integer \| null | no |  |  | Sádji, mii dahká ráhkadeami reprodukšuvnnalažžan. None bidjan vállje sádji juhkosiid mielde. |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | Boađusvideo resolušuvdna: 480p, 580p dahje 720p. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | Ráhkaduvvon-video proporšuvnnat, automáhtalaččat válljejuvvon sisa-addi gova vuođul go lea 'auto'. |
| `num_inference_steps` |  | integer | no | `27` | 2 – 40 | Sampling-láhtta lohku, mas guhkit barganáigi addá buoret kvalitehta. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Sisaaddi sihkkarvuođadárkkisteapmi ovdal gieđahallama, maid dušše autoriserejuvvon kontot sáhttet čájehit eret. Autorisašuvnna haga jearaldagat dárkkistuvvojit álo; muđui true aktiverii dárkkisteami. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Dárkkista ráhkaduvvon video sihkkarvuođa; true árvu aktiverii ráhkadeami maŋŋá dahkkojuvvon dárkkisteami. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Lohkaduhje modealla sáhttá lasihit bivddii čilgehusaid. Viiddideapmi ii rievdda bivddu mearkkašumi. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Jođánisvuođa heivehus, mas 'regular' lea ávžžuhuvvon válljejupmi. Jođánisvuođa lasiheapmi vuolida kvalitehta vai ráhkadanáigi oanehuvvo. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Classifier-free guidance nanusvuohta, mas kvalitehtamáhca vejolašvuohta lonohallá lagabui bivdda čuovvuma go skála stuorru. |
| `guidance_scale_2` |  | number | no | `3.5` | 1 – 10 | Rávvema skála mii dárkkista man lahka modealla čuovvu bivdda dan nuppi dásis. |
| `shift` |  | number | no | `5` | 1 – 10 | Video shift-heivehus, dárbbašlaš guhkkodat 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Rámma-interpolášuvnna heivehus: vállje None interpolášuvnna guođđimii, dahje meroštal modealla mii dahká dan. |
| `num_interpolated_frames` |  | integer | no | `1` | 0 – 4 | Bija 0–4 interpolerejuvvon rámma juohke gávnnusii guovtti ráhkaduvvon rámma gaskkas. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Rámmajohtalusa heiveheami válljen: false seailluha addojuvvon FPS:a, true skála dan interpolerejuvvon rámma lohkui lasihuvvon ovttain. Nappo 16 FPS šaddá 32 FPS go 1 rámma interpolerejuvvo ja heiveheapmi lea alde. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Boađusvideo kvalitehtaheivehus, mii lasihedje heivehusa vuogi mielde stuorát fiillaid buoret govvii. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Videočájeheami dáhpi, mas balanced addá gávnnusvuođa jođánisvuođa ja kvalitehta gaskkas. Vállje small unnimus fiillaid ja guhkemuš čájeheami várás; jođáneabbo čájeheapmi máhcaha bohtosiid johtileappot muhto ráhkada stuorát fiillaid. |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | URL mii čujuha loahppagova rádjái. |

File parameters (`image`, `end_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",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

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

## 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.ru/v1/run/wan/v2.2-a14b/image-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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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/v2.2-a14b/image-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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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.ru/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",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wan/v2.2-a14b/image-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.ru/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/v2.2-a14b/image-to-video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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/v2.2-a14b/image-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": 405,
    "usd": "0.405",
    "charged": 405,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "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
    },
    "prompt": "The white dragon warrior stands still, eyes full of determination and strength. The camera slowly moves closer or circles around the warrior, highlighting the powerful presence and heroic spirit of the character.",
    "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} | Ráhkadeami bokte buvttaduvvon videofiila. |
| `prompt` | string | Teakstabivdda geavahuvvon videoráhkadeapmái. |
| `seed` | integer | Ráhkadeamis geavahuvvon sádjiárvu. |

## Related models

- [Wan · v2.2 A14b · Text to Image](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-image.md) (`wan/v2.2-a14b/text-to-image`): $0.025 / image
- [Wan-2.2 Text-to-Video A14B](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-video.md) (`wan/v2.2-a14b/text-to-video`): from $0.04 / second of output video
- [Wan · v2.2 A14b · Video to Video](https://doitong.com/developers/models/wan/v2.2-a14b/video-to-video.md) (`wan/v2.2-a14b/video-to-video`): from $0.04 / second of output video
- [Wan-2.2 Speech-to-Video 14B](https://doitong.com/developers/models/wan/v2.2-14b/speech-to-video.md) (`wan/v2.2-14b/speech-to-video`): from $0.10 / second of output video
- [Wan 3.0 Image to Video](https://doitong.com/developers/models/alibaba/wan-3.0/image-to-video.md) (`alibaba/wan-3.0/image-to-video`): from $0.05 / second
- [FLUX 3 Max Image to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/image-to-video.md) (`blackforestlabs/flux-3-max/image-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Image to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/image-to-video.md) (`xai/grok-imagine-video/v1.5/image-to-video`): from $0.082 / second
- [Kling 3.0 Pro Image to Video](https://doitong.com/developers/models/kling-video/v3/pro/image-to-video.md) (`kling-video/v3/pro/image-to-video`): from $0.112 / second

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.2-a14b/image-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/v2.2-a14b/image-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan/v2.2-a14b/image-to-video