# Wan · v2.2 A14b · Image to Video · Turbo API

> Turbo A14B تصویر سے ویڈیو، مختصر پیرامیٹر فہرست کے ساتھ: تصویر، پرامپٹ، ریزولوشن اور اختیاری آخری فریم

سادہ image-to-video اینڈ پوائنٹ۔ یہ `image_url` اور `prompt`، نیز اختیاری `end_image_url` لیتا ہے۔ `resolution` 480p، 580p یا 720p اور `aspect_ratio` auto، 16:9، 9:16 یا 1:1 منتخب کریں۔ فریم شمار، رہنمائی اور مرحلہ سیٹنگز ظاہر نہیں کی جاتیں؛ صرف `acceleration`، معیار اور لکھنے کا موڈ قابلِ ترتیب ہیں۔

- Model id: `wan/v2.2-a14b/image-to-video/turbo`
- Made by: Alibaba
- Category: Image to Video
- Output: video
- Price: from $0.05 / video (cheapest run $0.05 (50 API credits))
- Run: `POST https://api.doitong.ru/v1/run/wan/v2.2-a14b/image-to-video/turbo`
- Quote: `POST https://api.doitong.ru/v1/quote/wan/v2.2-a14b/image-to-video/turbo`
- Docs page: https://doitong.com/ur/developers/models/wan/v2.2-a14b/image-to-video/turbo

## Pricing

Price: **from $0.05 / video** (the lowest tier; the quote prices your exact input). Billed once per generated video.

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `resolution` = 580p: $0.075 (75 API credits) / video
- When `resolution` = 720p: $0.10 (100 API credits) / video

The full example input below costs $0.10 = 100 API credits (1 video × 100 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-a14b/image-to-video/turbo` 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 |  |  | ماخذ تصویر کا URL؛ منتخب aspect ratio یہ طے کرتا ہے کہ preprocessing درکار ہے یا نہیں: عدم مطابقت سے resizing کے بعد center crop ہوتا ہے۔ |
| `prompt` |  | string | yes |  |  | ویڈیو تخلیق کی رہنمائی کرنے والی متنی ہدایات۔ |
| `seed` |  | integer \| null | no |  |  | تخلیق کو قابلِ تکرار بنانے والا سیڈ۔ اسے None پر سیٹ کرنے سے سیڈ تصادفی طور پر منتخب ہوتا ہے۔ |
| `resolution` |  | enum (string) | no | `720p` | `480p`, `580p`, `720p` | آؤٹ پٹ ویڈیو ریزولوشن: 480p، 580p، یا 720p۔ |
| `aspect_ratio` |  | enum (string) | no | `auto` | `auto`, `16:9`, `9:16`, `1:1` | تخلیق شدہ ویڈیو کے proportions، 'auto' پر سیٹ ہونے کی صورت میں ان پٹ تصویر سے خودکار طور پر منتخب ہوتے ہیں۔ |
| `enable_safety_checker` |  | boolean | no | `false` |  | پراسیسنگ سے پہلے ان پٹ کی حفاظتی جانچ، جسے صرف مجاز اکاؤنٹس بند کر سکتے ہیں۔ اجازت کے بغیر درخواستوں کی ہمیشہ جانچ ہوتی ہے؛ بصورت دیگر true جانچ فعال کرتا ہے۔ |
| `enable_output_safety_checker` |  | boolean | no | `false` |  | تخلیق کردہ ویڈیو کی حفاظتی جانچ متعین کرتا ہے؛ true رکھنے سے تخلیق کے بعد جانچ فعال ہوتی ہے۔ |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | بڑے ماڈل کو تفصیلات کے ساتھ پرامپٹ بہتر بنانے کی اجازت دیں۔ یہ توسیع فعال کرنے سے پرامپٹ کا مفہوم تبدیل نہیں ہوتا۔ |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular` | Acceleration کی ترتیب؛ 'regular' تجویز کردہ انتخاب ہے۔ Acceleration بڑھانے سے معیار کم ہوتا ہے، مگر تخلیق کا وقت گھٹتا ہے۔ |
| `video_quality` |  | enum (string) | no | `high` | `low`, `medium`, `high`, `maximum` | آؤٹ پٹ ویڈیو کے معیار کی ترتیب؛ قدر بڑھنے پر بڑی فائلوں کے بدلے بہتر بصری نتائج ملتے ہیں۔ |
| `video_write_mode` |  | enum (string) | no | `balanced` | `fast`, `balanced`, `small` | ویڈیو writing موڈ؛ balanced رفتار اور معیار کے درمیان سمجھوتا پیش کرتا ہے۔ سب سے چھوٹی فائلوں اور سست ترین writing کے لیے small منتخب کریں؛ faster writing نتائج جلد لوٹاتا ہے مگر بڑی فائلیں بناتا ہے۔ |
| `end_image_url` | `end_image` | string (image URL) \| null | no |  |  | اختتامی تصویر کی طرف اشارہ کرنے والا URL۔ |

File parameters (`image`, `end_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-a14b/image-to-video/turbo?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-a14b/image-to-video/turbo?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-a14b/image-to-video/turbo", 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/image-to-video/turbo",
      "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-a14b/image-to-video/turbo",
  "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": 100,
    "usd": "0.10",
    "charged": 100,
    "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} | تخلیق سے تیار کردہ ویڈیو فائل۔ |
| `prompt` | string | ویڈیو کی تخلیق کے لیے استعمال ہونے والا متنی پرامپٹ۔ |
| `seed` | integer | تخلیق کے دوران لاگو ہونے والی سیڈ قدر۔ |

## Related models

- [Wan · v2.2 A14b · Text to Video · Turbo](https://doitong.com/developers/models/wan/v2.2-a14b/text-to-video/turbo.md) (`wan/v2.2-a14b/text-to-video/turbo`): from $0.05 / 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
- [MiniMax H3 Image to Video](https://doitong.com/developers/models/minimax/h3/image-to-video.md) (`minimax/h3/image-to-video`): from $0.05 / second
- [Seedance 2.0 Fast Image to Video](https://doitong.com/developers/models/bytedance/seedance-2.0/fast/image-to-video.md) (`bytedance/seedance-2.0/fast/image-to-video`): from $0.113 / second

## Links

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