# Wan v2.2 5B · Text to Video API

> Text-to-video yenye modeli ya 5B: 580p au 720p, 16:9, 9:16 au 1:1, na interpolation ya hiari ya fremu

Hutengeneza klipu ya video kutoka kwa `prompt` ya maandishi. Urefu huwekwa na `num_frames` (17 hadi 161) na `frames_per_second` (4 hadi 60), ikiwa na `resolution` ya 580p au 720p na uwiano wa vipimo 16:9, 9:16 au 1:1. Interpolation ya fremu kwa film au rife inaweza kuwashwa, na ubora wa tokeo pamoja na hali ya kuandika faili vinaweza kurekebishwa. Hili ni toleo lenye mwongozo wa kawaida na hadi hatua 50 za inferensi.

- 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/sw/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 |  |  | Maelekezo ya maandishi yanayoongoza uzalishaji wa video. |
| `negative_prompt` |  | string | no | `` |  | Kidokezo hasi kinachotumika wakati wa kutengeneza video. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Idadi ya fremu za uzalishaji, yenye masafa jumuishi ya 17–161. |
| `frames_per_second` |  | integer \| null | no | `24` | 4 – 60 | Kasi ya fremu za video iliyozalishwa, inayokubali thamani kutoka 4 hadi 60; kuweka `adjust_fps_for_interpolation` kuwa false huhifadhi kasi hii bila mabadiliko. Interpolation inapotumika na `adjust_fps_for_interpolation` ikiwa true (chaguo lake chaguomsingi), zidisha kasi hii kwa moja pamoja na idadi ya fremu zilizointerpolatiwa ili kupata FPS ya mwisho. Kwa mfano, 16 FPS yenye fremu 1 iliyointerpolatiwa huwa 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Seed inayofanya uzalishaji uweze kurudiwa. Kuiweka kuwa None huchagua seed bila mpangilio. |
| `resolution` |  | enum (string) | no | `720p` | `580p`, `720p` | Mwonekano wa video ya tokeo, ukiwa 580p au 720p. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Uwiano wa video ya tokeo, ama 16:9 au 9:16. |
| `num_inference_steps` |  | integer | no | `40` | 2 – 50 | Idadi ya hatua za sampuli, ambapo muda mrefu wa uchakataji huleta ubora bora kadiri idadi inavyoongezeka. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Ukaguzi wa usalama wa ingizo kabla ya uchakataji, ambao ni akaunti zilizoidhinishwa pekee zinazoweza kuuzima. Maombi yasiyo na idhini hukaguliwa kila mara; vinginevyo, true huwezesha ukaguzi. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Hudhibiti ukaguzi wa usalama wa video iliyozalishwa; kuweka true huwezesha ukaguzi baada ya uzalishaji. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Ruhusu modeli kubwa ya lugha kuimarisha kidokezo kwa maelezo. Kuwasha upanuzi huu hakubadilishi maana ya kidokezo. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Nguvu ya mwongozo isiyotegemea kiainishaji, ambapo ongezeko la kipimo hubadilisha uwezekano wa kupoteza ubora kwa ulinganifu wa karibu zaidi na kidokezo. |
| `shift` |  | number | no | `5` | 1 – 10 | Mpangilio wa mgeuzo wa video, wenye masafa yanayoruhusiwa ya 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Mpangilio wa interpolation ya fremu: chagua None kuruka interpolation, au bainisha modeli ya kuitekeleza. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 4 | Weka fremu 0–4 zilizointerpolatiwa katika kila pengo kati ya fremu mbili zilizozalishwa. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Kigeuzi cha kurekebisha kasi ya fremu: false huhifadhi FPS iliyotolewa, ilhali true huizidisha kwa moja pamoja na idadi ya fremu zilizointerpolatiwa. Hivyo, 16 FPS huwa 32 FPS wakati fremu 1 imeinterpolatiwa na urekebishaji umewezeshwa. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Mpangilio wa ubora wa video ya tokeo unaobadilisha ukubwa wa faili kwa picha bora zaidi kadiri thamani inavyoongezeka. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Hali ya kuandika video, ambapo balanced hutoa uwiano kati ya kasi na ubora. Chagua small kwa faili ndogo zaidi na uandishi wa polepole zaidi; uandishi wa haraka hurudisha matokeo mapema lakini huunda faili kubwa zaidi. |

## 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} | Faili ya video iliyozalishwa. |
| `prompt` | string | Kidokezo cha maandishi kilichotumika kuzalisha video. |
| `seed` | integer | Thamani ya seed inayotumika wakati wa uzalishaji. |

## 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