# Wan v2.2 5B · Text to Video API

> Text-to-video 5B-málliin: 580p dahje 720p, 16:9, 9:16 dahje 1:1, eaktodáhtolaš rámma-interpoleren

Ráhkada videoklippa teavstapromptas `prompt`. Guhkodat mearriduvvo `num_frames`-ain (17 rájes 161 rádjái) ja `frames_per_second`-ain (4 rájes 60 rádjái), `resolution` lea 580p dahje 720p ja aspektarájohusat 16:9, 9:16 dahje 1:1. Rámma-interpoleren film- dahje rife-modusain sáhttá aktivojuvvot, ja bohtosa kvalitehta ja fiilaskribenmodus sáhttet heivehuvvot. Dát lea standard-stivrenveršuvdna gitta 50 inferensalávkái.

- Model id: `wan/v2.2-5b/text-to-video`
- Made by: Alibaba
- Category: Text to Video
- Output: video
- Price: $0.15 / video (cheapest run $0.15 (150 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-5b/text-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-5b/text-to-video`
- Docs page: https://doitong.com/se/developers/models/wan/v2.2-5b/text-to-video

## Pricing

Price: **$0.15 / video**. Billed once per generated video.

The full example input below costs $0.15 = 150 API credits (1 video × 150 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.ru/v1/quote/wan/v2.2-5b/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 | `24` | 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` | `580p`, `720p` | Boađusvideo resolušuvdna, 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 | `40` | 2 – 50 | 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. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Classifier-free guidance nanusvuohta, mas kvalitehtamáhca vejolašvuohta lonohallá lagabui bivdda čuovvuma go skála stuorru. |
| `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 | `0` | 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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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": 150,
    "usd": "0.15",
    "charged": 150,
    "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 medium shot establishes a modern, minimalist office setting: clean lines, muted grey walls, and polished wood surfaces. The focus shifts to a close-up on a woman in sharp, navy blue business attire. Her crisp white blouse contrasts with the deep blue of her tailored suit jacket. The subtle texture of the fabric is visible—a fine weave with a slight sheen. Her expression is serious, yet engaging, as she speaks to someone unseen just beyond the frame. Close-up on her eyes, showing the intensity of her gaze and the fine lines around them that hint at experience and focus. Her lips are slightly parted, as if mid-sentence. The light catches the subtle highlights in her auburn hair, meticulously styled. Note the slight catch of light on the silver band of her watch. High resolution 4k",
    "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 5b · Text to Image](https://doitong.com/developers/models/wan/v2.2-5b/text-to-image.md) (`wan/v2.2-5b/text-to-image`): $0.016 / image
- [Wan · v2.2 5b · Text to Video · Distill](https://doitong.com/developers/models/wan/v2.2-5b/text-to-video/distill.md) (`wan/v2.2-5b/text-to-video/distill`): $0.08 / video
- [Wan v2.2 5B · Image to Video](https://doitong.com/developers/models/wan/v2.2-5b/image-to-video.md) (`wan/v2.2-5b/image-to-video`): $0.15 / 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
- [LTX 2.5 Pro Text to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/text-to-video/pro.md) (`lightricks/ltx-2.5/text-to-video/pro`): from $0.12 / second

## Links

- HTML page: https://doitong.com/developers/models/wan/v2.2-5b/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/v2.2-5b/text-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/wan/v2.2-5b/text-to-video