# Sensenova U1 Infographic API

> تحويل النص إلى صورة مخصص للرسوم المعلوماتية، مع تسع نسب أبعاد واستدلال اختياري قبل الإنشاء

ينتج صورًا بأسلوب الرسوم المعلوماتية من مطالبات تفصيلية تصف التخطيط والأقسام ولوحة الألوان والطباعة والبيانات. تكون نسبة الأبعاد واحدة من تسع إعدادات مسبقة، والافتراضي 16:9. تشمل عناصر التحكم في أخذ العينات `num_inference_steps` (من 10 إلى 100) و`guidance_scale` (من 1 إلى 10) و`timestep_shift`. يشغّل `use_thinking` تمريرة استدلال أولًا ويعيد أثرها.

- Model id: `sensenova-u1-infographic`
- Made by: SenseTime
- Category: Text to Image
- Output: image
- Price: from $0.05 / image (cheapest run $0.05 (50 API credits))
- Run: `POST https://api.doitong.com/v1/run/sensenova-u1-infographic`
- Quote: `POST https://api.doitong.com/v1/quote/sensenova-u1-infographic`
- Docs page: https://doitong.com/ar/developers/models/sensenova-u1-infographic

## Pricing

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

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

- When `use_thinking` = true: $0.06 (60 API credits) / image

The full example input below costs $0.05 = 50 API credits (1 image × 50 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/sensenova-u1-infographic` 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 |  |  | وصف الرسم المعلوماتي المراد توليده؛ للحصول على أفضل النتائج، أدرج تفاصيل الطباعة والبيانات المراد تصورها وتنظيم الأقسام والتخطيط ولوحة الألوان. |
| `aspect_ratio` |  | enum (string) | no | `16:9` | `1:1`, `16:9`, `9:16`, `3:2`, `2:3`, `4:3`, `3:4`, `1:2`, `2:1` | نِسب الصورة، وتكون افتراضيًا 16:9 للتوافق مع معظم تصميمات الرسوم المعلوماتية المخصصة للملصقات أو العروض التقديمية. لا تُدعم إلا النسب المطابقة لفئات الدقة المستخدمة أثناء التدريب. |
| `num_inference_steps` |  | integer | no | `50` | 10 – 100 | عدد خطوات إزالة الضوضاء لمطابقة التدفق. |
| `guidance_scale` |  | number | no | `4` | 1 – 10 | مقياس التوجيه الخالي من المصنّف؛ تؤدي زيادته إلى جعل المخرج أكثر التزامًا بالموجّه. |
| `timestep_shift` |  | number | no | `3` | 1 – 8 | تتعزز أفضلية الخطوات الزمنية المبكرة في أخذ عينات مطابقة التدفق بزيادة عامل إزاحة الخطوة الزمنية هذا. |
| `use_thinking` |  | boolean | no | `false` |  | يتحكم في ما إذا كان chain-of-thought يعمل قبل توليد الصورة؛ ويكون مفعّلًا عند True. |
| `seed` |  | integer \| null | no |  |  | بذرة لصور قابلة لإعادة الإنتاج: ينتج الموجّه والبذرة المتطابقان الصورة نفسها عند عدم تغيير إصدار النموذج. |
| `enable_safety_checker` |  | boolean | no | `true` |  | تنشيط مدقق السلامة؛ تُمكّن true الفحص. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | تنسيق ملف الصورة الناتجة. |

## 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/sensenova-u1-infographic?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/sensenova-u1-infographic?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/sensenova-u1-infographic", 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": "sensenova-u1-infographic",
      "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": "sensenova-u1-infographic",
  "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": 50,
    "usd": "0.05",
    "charged": 50,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "width": 1024,
        "height": 768,
        "content_type": "image/jpeg"
      }
    ],
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string",
    "thinking": "string",
    "timings": {}
  },
  "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 |
|---|---|---|
| `images` | array of object {url, width, height, content_type} | الصورة أو الصور الناتجة عن التوليد. |
| `seed` | integer | قيمة البذرة المستخدمة أثناء التوليد. |
| `has_nsfw_concepts` | array of boolean | يشير إلى ما إذا كانت مفاهيم NSFW تظهر في الصور المُولّدة. |
| `prompt` | string | الموجّه المستخدم لتوجيه التوليد. |
| `thinking` | string \| null | أثر الاستدلال الناتج عن توليد chain-of-thought، وهو متاح مع ضبط `use_thinking` على True؛ ويؤدي تعطيل الإعداد إلى إرجاع `null`. |
| `timings` | object | الوقت المستغرق في كل مرحلة، مقاسًا بالثواني. |

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## Links

- HTML page: https://doitong.com/developers/models/sensenova-u1-infographic
- 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=sensenova-u1-infographic
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/sensenova-u1-infographic