# Wan-2.2 Text-to-Video A14B API

> A14B teaksta-video 480p gitta 720p bohtosiiguin, guokte stivrejummamuddo ja eaktodáhtolaš interpolášuvnnain

Ráhkada video teavsttalaš `prompt`-a vuođul. `num_frames` manná 17 gitta 161 rádjái, `frames_per_second` 4 gitta 60 rádjái, ja `resolution` lea 480p, 580p dahje 720p 16:9, 9:16 dahje 1:1-formáhtas. Guokte stivrejumi árvvu, `acceleration`-heivehus ja film- dahje rife-interpolášuvdna (okta interpolerejuvvon rámma standárdan) leat olamuttus.

- Model id: `wan/v2.2-a14b/text-to-video`
- Made by: Alibaba
- Category: Text 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/text-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/text-to-video`
- Docs page: https://doitong.com/se/developers/models/wan/v2.2-a14b/text-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/text-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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Teakstačilgehusat, mat stivrejit video-ráhkadeami. |
| `negative_prompt` |  | string | no | `` |  | Negatiiva bivdda mii geavahuvvo video ráhkadeamis. |
| `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. |
| `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 | `16:9` | `16:9`, `9:16`, `1:1` | Boađus-video aspektarátio, 16:9 dahje 9:16. |
| `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 | `4` | 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. |

## 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.ru/v1/run/wan/v2.2-a14b/text-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.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/text-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.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",
}

# 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/text-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/text-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/v2.2-a14b/text-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"
  },
  "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": "A close-up of a young woman smiling gently in the rain, raindrops glistening on her face and eyelashes. The video captures the delicate details of her expression and the water droplets, with soft light reflecting off her skin in the rainy atmosphere.",
    "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 v2.2 A14B](https://doitong.com/developers/models/wan/v2.2-a14b/image-to-video.md) (`wan/v2.2-a14b/image-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 Text to Video](https://doitong.com/developers/models/alibaba/wan-3.0/text-to-video.md) (`alibaba/wan-3.0/text-to-video`): from $0.05 / second
- [FLUX 3 Max Text to Video](https://doitong.com/developers/models/blackforestlabs/flux-3-max/text-to-video.md) (`blackforestlabs/flux-3-max/text-to-video`): from $0.0425 / second of output video
- [Grok Imagine Video 1.5 Text to Video](https://doitong.com/developers/models/xai/grok-imagine-video/v1.5/text-to-video.md) (`xai/grok-imagine-video/v1.5/text-to-video`): from $0.08 / second
- [Kling 3.0 Pro Text to Video](https://doitong.com/developers/models/kling-video/v3/pro/text-to-video.md) (`kling-video/v3/pro/text-to-video`): from $0.112 / second

## Links

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