# Wan v2.2 5B · Text to Video API

> Text-to-video mam 5B-Modell: 580p oder 720p, 16:9, 9:16 oder 1:1, optional Frameinterpolatioun

Erstellt e Videoclip aus engem Text-`prompt`. D'Längt gëtt duerch `num_frames` (17 bis 161) an `frames_per_second` (4 bis 60) festgeluecht, mat `resolution` vun 580p oder 720p an den Aspektverhältnisser 16:9, 9:16 oder 1:1. Frameinterpolatioun mat film oder rife kann aktivéiert ginn, an d'Outputqualitéit an de Schreifmodus si konfiguréierbar. Dëst ass d'Variant mat Standard-Guidance a bis zu 50 Inferenz-Schrëtt.

- 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.com/v1/run/wan/v2.2-5b/text-to-video`
- Quote: `POST https://api.doitong.com/v1/quote/wan/v2.2-5b/text-to-video`
- Docs page: https://doitong.com/lb/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.com/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 |  |  | Textinstruktiounen, déi d'Video-Generatioun steieren. |
| `negative_prompt` |  | string | no | `` |  | Negative Prompt bei der Generatioun vun engem Video. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Framezuel fir d'Generatioun, am inklusiven Beräich vun 17–161. |
| `frames_per_second` |  | integer \| null | no | `24` | 4 – 60 | Frame-Rate vum generéierte Video, mat Wäerter vun 4 bis 60; d'Astellung `adjust_fps_for_interpolation` op false behält dëse Rate onverännert. Bei Interpolatioun an `adjust_fps_for_interpolation` op true (Standard) multiplizéiert een dëse Rate mat 1 plus der Zuel vun interpoléierte Frames, fir den definitiven FPS ze kréien. Beispill: 16 FPS mat 1 interpoléierte Frame ginn 32 FPS. |
| `seed` |  | integer \| null | no |  |  | Seed, deen d'Generatioun reproduzéierbar mécht. Wann et op None gesat gëtt, gëtt e Seed zoufälleg gewielt. |
| `resolution` |  | enum (string) | no | `720p` | `580p`, `720p` | Opléisung vum Output-Video, entweder 580p oder 720p. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `16:9`, `9:16`, `1:1` | Aspektverhältnis vum Output-Video, entweder 16:9 oder 9:16. |
| `num_inference_steps` |  | integer | no | `40` | 2 – 50 | Unzuel vun de Sampling-Schrëtt; méi Schrëtt bedeite méi laang Veraarbechtung, awer besser Qualitéit. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Input-Sécherheetskontroll virun der Veraarbechtung, déi nëmmen autoriséiert Konten ausschalte kënnen. Ufroen ouni Autorisatioun ginn ëmmer kontrolléiert; soss aktivéiert true d'Kontroll. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Steiert d'Sécherheetskontroll vum generéierte Video; true aktivéiert eng Kontroll no der Generatioun. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Erlaabt engem Large Language Modell, de Prompt mat Detailer unzereecheren. Dës Erweiderung léisst d'Bedeitung vum Prompt onverännert. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Classifier-free Guidance-Stäerkt; mat steigender Skala gëtt méigleche Qualitéitsverloscht géint eng méi genee Prompt-Entspriechung ofgewiicht. |
| `shift` |  | number | no | `5` | 1 – 10 | Video-Shift-Astellung mat engem erlaabte Beräich vun 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Frame-Interpolatiounsastellung: wielt None, fir d'Interpolatioun ze iwwersprangen, oder gitt de Modell un, deen se ausféiere soll. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 4 | Setzt 0–4 interpoléiert Frames an all Lach tëscht zwee generéierte Frames an. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Schalter fir d'Frame-Rate-Adaptatioun: false behält den ugiwwene FPS, wärend true en duerch 1 plus d'Zuel vun interpoléierte Frames skaliéiert. Also ginn aus 16 FPS bei 1 interpoléierte Frame 32 FPS, wann d'Adaptatioun aktiv ass. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Qualitéitsastellung vum Output-Video, déi mat steigender Astellung méi grouss Dateien géint besser Visualiséierung tauscht. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Video-Schreifmodus, bei deem balanced e Kompromëss tëscht Geschwindegkeet a Qualitéit bitt. Wielt small fir déi klengst Dateien an déi luesst Schreifgeschwindegkeet; méi séiert Schreiwe liwwert Resultater éischter, erstellt awer méi grouss Dateien. |

## 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/v2.2-5b/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.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/v2.2-5b/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.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/v2.2-5b/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.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/v2.2-5b/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.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} | Video-Datei, déi duerch d'Generatioun erstallt gouf. |
| `prompt` | string | Textprompt, dee benotzt gouf, fir de Video ze generéieren. |
| `seed` | integer | Seed-Wäert, deen während der Generatioun applizéiert gouf. |

## 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.com/v1/models/wan/v2.2-5b/text-to-video