# Wan · v2.2 5b · Text to Image API

> چھوٹے 5B متن سے تصویر ماڈل میں چھ پری سیٹ سائز، PNG یا JPEG آؤٹ پٹ اور قابلِ ترتیب سیمپلنگ مراحل

ٹیکسٹ `prompt` سے ایک ساکن تصویر بناتا ہے۔ `image_size` کا پری سیٹ منتخب کریں، جیسے square_hd، portrait_16_9 یا landscape_4_3، اور `image_format` کے ذریعے png یا jpeg منتخب کریں۔ سیمپلنگ کو `num_inference_steps` (2 سے 50)، `guidance_scale` (1 سے 10) اور `shift` کے ذریعے ایڈجسٹ کیا جا سکتا ہے، جبکہ `negative_prompt` اور اختیاری پرامپٹ توسیع بھی دستیاب ہیں۔

- Model id: `wan/v2.2-5b/text-to-image`
- Made by: Alibaba
- Category: Text to Image
- Output: image
- Price: $0.016 / image (cheapest run $0.016 (16 API credits))
- Run: `POST https://api.doitong.com/v1/run/wan/v2.2-5b/text-to-image`
- Quote: `POST https://api.doitong.com/v1/quote/wan/v2.2-5b/text-to-image`
- Docs page: https://doitong.com/ur/developers/models/wan/v2.2-5b/text-to-image

## Pricing

Price: **$0.016 / image**. Billed per generated image.

The full example input below costs $0.016 = 16 API credits (1 image × 16 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-image` 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 |  |  | تخلیق کردہ تصویر کی رہنمائی کرنے والی متنی ہدایات۔ |
| `negative_prompt` |  | string | no | `` |  | ویڈیو تخلیق کرتے وقت لاگو ہونے والا منفی پرامپٹ۔ |
| `seed` |  | integer \| null | no |  |  | تخلیق کو قابلِ تکرار بنانے والا سیڈ۔ اسے None پر سیٹ کرنے سے سیڈ تصادفی طور پر منتخب ہوتا ہے۔ |
| `num_inference_steps` |  | integer | no | `40` | 2 – 50 | sampling steps کی تعداد، جس میں تعداد بڑھنے کے ساتھ زیادہ پروسیسنگ وقت کے بدلے بہتر معیار ملتا ہے۔ |
| `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۔ |
| `guidance_scale` |  | number | no | `3.5` | 1 – 10 | Classifier-free guidance کی طاقت، اسکیل بڑھنے کے ساتھ ممکنہ معیار کے نقصان کے بدلے پرامپٹ سے زیادہ قریب مطابقت فراہم کرتی ہے۔ |
| `shift` |  | number | no | `2` | 1 – 10 | تصویر shift کی ترتیب، جس کی مجاز حد 1.0–10.0 ہے۔ |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | تخلیق شدہ تصویر کی dimensions۔ |
| `image_format` |  | enum (string) | no | `jpeg` | `png`, `jpeg` | نتیجے کی تصویر کا فائل فارمیٹ۔ |

## 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-image?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-image?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-image", 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-image",
      "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-image",
  "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": 16,
    "usd": "0.016",
    "charged": 16,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "seed": 42
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "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 |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size} | تخلیق سے تیار کردہ تصویر فائل۔ |
| `seed` | integer | تخلیق کے دوران لاگو ہونے والی سیڈ قدر۔ |

## Related models

- [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 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
- [Qwen Image 3 Text to Image](https://doitong.com/developers/models/alibaba/qwen-image-3/text-to-image.md) (`alibaba/qwen-image-3/text-to-image`): from $0.04 / image
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image

## Links

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