# Uso API

> مواد کی تصویر اور ایک یا دو اسٹائل تصاویر سے اسٹائل اور موضوع پر مبنی تصویر کی تخلیق

`input_image_urls` میں پہلے مواد کی تصویر، پھر انداز کی تصویر اور اختیاری طور پر انداز کی ایک اضافی تصویر لیتا ہے۔ صرف انداز منتقل کرنے کے لیے پرامپٹ خالی رکھا جا سکتا ہے، اور `negative_prompt` ناپسندیدہ عناصر کو خارج کرتا ہے۔ `keep_size` مواد کی تصویر کی ترتیب اور ابعاد برقرار رکھتا ہے۔ یہ ہر بار 1 سے 4 تصاویر بناتا ہے، جن میں 1 سے 50 مراحل اور PNG یا JPEG آؤٹ پٹ کی سہولت ہے۔

- Model id: `uso`
- Made by: ByteDance
- Category: Image Editing
- Output: image
- Price: $0.10 / megapixel (cheapest run $0.10 (100 API credits))
- Run: `POST https://api.doitong.ru/v1/run/uso`
- Quote: `POST https://api.doitong.ru/v1/quote/uso`
- Docs page: https://doitong.com/ur/developers/models/uso

## Pricing

Price: **$0.10 / megapixel**. Billed per megapixel of output (width × height of every image). Each image is rounded up to a whole megapixel.

The full example input below costs $0.10 = 100 API credits (1 MP × 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/uso` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string | no | `` |  | تخلیق پرامپٹ کا متن؛ صرف style transfer کرنے کے لیے خالی چھوڑیں۔ |
| `input_image_urls` |  | array of image URL | yes |  |  | اس ترتیب والی تصویر URL list: [content_image, style_image, extra_style_image]۔ |
| `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۔ |
| `negative_prompt` |  | string | no | `` |  | خارج کیا جانے والا ناپسندیدہ تصویر content، جس میں elements، styles اور artifacts شامل ہیں۔ |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | Denoising iterations کی تعداد؛ تعداد بڑھنے سے تخلیق کا وقت بڑھتا ہے اور معیار ممکنہ طور پر بہتر ہوتا ہے۔ |
| `guidance_scale` |  | number | no | `4` | 1 – 10 | پرامپٹ کی پابندی کا کنٹرول: نتیجے کو پرامپٹ کے زیادہ مطابق بنانے کے لیے یہ قدر بڑھائیں۔ |
| `keep_size` |  | boolean | no | `false` |  | Processing کے دوران content تصویر کا حجم اور arrangement برقرار رکھیں؛ یہ style transfer کے لیے مفید option ہے۔ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | بیک وقت تخلیق کی جانے والی تصاویر کی تعداد۔ |
| `seed` |  | integer \| null | no |  |  | تخلیق کی randomness کو کنٹرول کرنے والا seed۔ seed دوبارہ استعمال کرنے سے یکساں، قابلِ تکرار نتائج ملتے ہیں۔ |
| `enable_safety_checker` |  | boolean | no | `true` |  | NSFW content کی detection اور filtering فعال کرتا ہے۔ |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | آؤٹ پٹ تصویر کا format: PNG transparency برقرار رکھتا ہے، جبکہ JPEG چھوٹی فائلیں بناتا ہے۔ |

File parameters (`input_image_urls`) 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
{
  "input_image_urls": [
    "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  ]
}
```

A fuller example:

```json
{
  "input_image_urls": [
    "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/uso?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input_image_urls": [
      "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/uso?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "input_image_urls": [
      "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 = {
    "input_image_urls": [
        "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/uso", 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": "uso",
      "input": {
        "input_image_urls": [
          "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": "uso",
  "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": {
    "input_image_urls": [
      "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    ]
  },
  "output": {
    "images": [
      {
        "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,
        "width": 1024,
        "height": 768
      }
    ],
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Style customization، subject customization یا دونوں پر مشتمل تخلیق شدہ تصاویر۔ |
| `seed` | integer | تخلیق کے دوران استعمال ہونے والی seed value۔ |
| `has_nsfw_concepts` | array of boolean | تخلیق شدہ تصاویر پر NSFW detection کے فی تصویر نتائج۔ |
| `prompt` | string | تخلیق کے دوران استعمال ہونے والا پرامپٹ۔ |
| `timings` | object | Stage کے لحاظ سے تقسیم شدہ performance timing measurements۔ |

## Related models

- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Bagel · Edit](https://doitong.com/developers/models/bagel/edit.md) (`bagel/edit`): $0.10 / image
- [Bytedance Seedream V4 Edit](https://doitong.com/developers/models/bytedance/seedream/v4/edit.md) (`bytedance/seedream/v4/edit`): $0.03 / image

## Links

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