# Wan v2.2 5B · Image to Video API

> Immaġni għal vidjo b’Wan 2.2 5B, b’għadd flessibbli ta’ frejms, 580p jew 720p, u interpolazzjoni tal-frejms

Janima immaġni (`image_url`) minn `prompt` testwali. `num_frames` ivarja minn 17 sa 161 u `frames_per_second` minn 4 sa 60, f’580p jew 720p. Il-proporzjon tal-aspett jista’ jkun auto, 16:9, 9:16 jew 1:1. L-interpolazzjoni tal-frejms tuża film jew rife, u żżid 0 sa 4 frejms bejn kull par; `video_quality` u `video_write_mode` jikkontrollaw il-kodifikazzjoni.

- Model id: `wan/v2.2-5b/image-to-video`
- Made by: Alibaba
- Category: Image 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/image-to-video`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-5b/image-to-video`
- Docs page: https://doitong.com/mt/developers/models/wan/v2.2-5b/image-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/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 |  |  | URL tal-immaġni tas-sors, bir-ratio tal-aspett magħżul jiddetermina jekk hemmx bżonn ta’ preprocessing: nuqqas ta’ qbil iqanqal ridimensjonar segwit minn crop ċentrali. |
| `prompt` |  | string | yes |  |  | Istruzzjonijiet testwali li jiggwidaw il-ġenerazzjoni tal-vidjo. |
| `num_frames` |  | integer | no | `81` | 17 – 161 | Għadd ta’ frejms għall-ġenerazzjoni, b’firxa inklużiva ta’ 17–161. |
| `frames_per_second` |  | integer \| null | no | `24` | 4 – 60 | Rata tal-frejms tal-vidjo ġġenerat, li taċċetta valuri minn 4 sa 60; l-issettjar ta’ `adjust_fps_for_interpolation` għal false iżomm din ir-rata kif inhi. Meta tintuża l-interpolazzjoni u `adjust_fps_for_interpolation` ikun true (il-valur prestabbilit tiegħu), immultiplika din ir-rata b’wieħed flimkien mal-għadd ta’ frejms interpolati biex tikseb l-FPS finali. Pereżempju, 16 FPS b’frejm interpolat wieħed isiru 32 FPS. |
| `negative_prompt` |  | string | no | `` |  | Prompt negattiv applikat waqt il-ġenerazzjoni ta’ vidjo. |
| `seed` |  | integer \| null | no |  |  | Seed li jagħmel il-ġenerazzjoni riproduċibbli. L-issettjar tiegħu għal None jagħżel seed b’mod każwali. |
| `resolution` |  | enum (string) | no | `720p` | `580p`, `720p` | Riżoluzzjoni tal-vidjo output, jew 580p jew 720p. |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | Proporzjonijiet tal-vidjo ġġenerat, magħżula awtomatikament mill-immaġni tal-input meta jiġu ssettjati għal 'auto'. |
| `num_inference_steps` |  | integer | no | `40` | 2 – 50 | Għadd ta’ passi ta’ kampjunar; għadd ogħla jżid il-ħin tal-ipproċessar iżda jtejjeb il-kwalità. |
| `enable_safety_checker` |  | boolean | no | `false` |  | Verifika tas-sigurtà tal-input qabel l-ipproċessar, li kontijiet awtorizzati biss jistgħu jitfu. Talbiet mingħajr awtorizzazzjoni dejjem jiġu vverifikati; inkella, true jattiva l-verifika. |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | Jikkontrolla l-verifika tas-sigurtà tal-vidjo ġġenerat; true jattiva kontroll wara l-ġenerazzjoni. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Ħalli mudell lingwistiku kbir jarrikkixxi l-prompt bid-dettalji. L-attivazzjoni ta’ din l-espansjoni ma tbiddilx it-tifsira tal-prompt. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Qawwa tal-gwida mingħajr klassifikatur; skala ogħla tqarreb ir-riżultat lejn il-prompt iżda tista’ tnaqqas il-kwalità. |
| `shift` |  | number | no | `5` | 1 – 10 | Setting tal-bidla tal-vidjo, b’firxa permessa ta’ 1.0–10.0. |
| `interpolator_model` |  | enum (string) | no | `film` | `none`, `film`, `rife` | Setting tal-interpolazzjoni tal-frejms: agħżel None biex taqbeż l-interpolazzjoni, jew speċifika l-mudell li jwettaqha. |
| `num_interpolated_frames` |  | integer | no | `0` | 0 – 4 | Daħħal 0–4 frejms interpolati f’kull vojt bejn żewġ frejms iġġenerati. |
| `adjust_fps_for_interpolation` |  | boolean | no | `true` |  | Toggle għall-aġġustament tar-rata tal-frejms: false iżomm l-FPS ipprovdut, filwaqt li true jiskalah b’wieħed flimkien mal-għadd ta’ frejms interpolati. Għalhekk, 16 FPS isiru 32 FPS meta jiġi interpolat frejm wieħed u l-aġġustament ikun attivat. |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | Setting tal-kwalità tal-vidjo output li jiskambja fajls akbar għal viżwali mtejba hekk kif jiżdied is-setting. |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | Modalità tal-kitba tal-vidjo, b’balanced toffri kompromess bejn il-veloċità u l-kwalità. Agħżel small għall-iżgħar fajls u l-iktar kitba bil-mod; kitba aktar mgħaġġla tirritorna r-riżultati qabel iżda toħloq fajls akbar. |

File parameters (`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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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/v2.2-5b/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": 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",
    "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} | Fajl vidjo prodott mill-ġenerazzjoni. |
| `prompt` | string | Prompt testwali użat biex jiġi ġġenerat il-vidjo. |
| `seed` | integer | Valur ta’ seed applikat waqt il-ġenerazzjoni. |

## 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](https://doitong.com/developers/models/wan/v2.2-5b/text-to-video.md) (`wan/v2.2-5b/text-to-video`): $0.15 / video
- [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 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
- [LTX 2.5 Pro Image to Video](https://doitong.com/developers/models/lightricks/ltx-2.5/image-to-video/pro.md) (`lightricks/ltx-2.5/image-to-video/pro`): from $0.12 / second

## Links

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