# OmniGen v1 API

> مولد تصویر چندوجهی برای پرامپت‌های متنی، ویرایش، پرو مجازی و صحنه‌های چندنفره با تصاویر مرجع

از یک `prompt` و `input_image_urls` اختیاری تصویر تولید می‌کند؛ تصاویر در متن با برچسب‌هایی مانند <img><|image_1|></img> ارجاع داده می‌شوند. ویرایش، تولید شخصی‌سازی‌شده و پرو مجازی را پوشش می‌دهد. کنترل‌ها شامل شش پیش‌تنظیم `image_size`، `guidance_scale`، `img_guidance_scale`، حداکثر 50 گام و حداکثر 4 تصویر با فرمت jpeg یا png هستند.

- Model id: `omnigen-v1`
- Made by: BAAI
- Category: Text to Image
- Output: image
- Estimated price per run: $0.20 / image (cheapest run $0.20 (200 API credits))
- Run: `POST https://api.doitong.com/v1/run/omnigen-v1`
- Quote: `POST https://api.doitong.com/v1/quote/omnigen-v1`
- Docs page: https://doitong.com/fa/developers/models/omnigen-v1

## Pricing

Price: **$0.20 / image**. Estimated from the typical cost of one run, per output (`num_images`). The quote is exactly what the run charges.

The full example input below costs $0.20 = 200 API credits (1 image × 200 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/omnigen-v1` 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 | yes |  |  | پرامپت هدایت‌کننده تولید تصویر. |
| `input_image_urls` |  | array of image URL | no | `[]` |  | URL تصاویر حاوی مراجع تولید؛ نحو <img><\|image_1\|></img> ورودی اول را مشخص می‌کند و شماره‌های بعدی تصویر، ورودی‌های بعدی را مشخص می‌کنند. |
| `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` | ابعاد تصویر تولیدشده. |
| `num_inference_steps` |  | integer | no | `50` | 1 – 50 | تعداد مراحل استنتاج. |
| `seed` |  | integer \| null | no |  |  | seed برای تصاویر تکرارپذیر: پرامپت و seed یکسان، در صورت ثابت‌بودن نسخه مدل، تصویر یکسانی تولید می‌کنند. |
| `guidance_scale` |  | number | no | `3` | 0 – 20 | میزان پایبندی به پرامپت برای انتخاب تصویر، بیان‌شده به‌صورت CFG (Classifier Free Guidance). |
| `img_guidance_scale` |  | number | no | `1.6` | 0 – 20 | مقیاس راهنمایی تصویر که میزان شباهت مطلوب بین تصویر ورودی و تصویر مرتبطی را که مدل برای نمایش انتخاب می‌کند مشخص می‌کند. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | تعداد تصاویر درخواستی برای تولید. |
| `enable_safety_checker` |  | boolean | no | `true` |  | بررسی ایمنی که به‌جای تصاویر ناامن علامت‌گذاری‌شده، تصاویر سیاه برمی‌گرداند. مقدار true بررسی را فعال می‌کند؛ false آن را فقط برای حساب‌های مجاز غیرفعال می‌کند، در حالی که درخواست‌های بدون مجوز در هر حال بررسی می‌شوند. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | قالب فایل تصویر نهایی. |

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
{
  "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/omnigen-v1?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/omnigen-v1?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/omnigen-v1", 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": "omnigen-v1",
      "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": "omnigen-v1",
  "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": 200,
    "usd": "0.20",
    "charged": 200,
    "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"
      }
    ],
    "timings": {},
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ],
    "prompt": "string"
  },
  "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} | اطلاعات فایل تصاویر تولیدشده. |
| `timings` | object |  |
| `seed` | integer | Seed تولید تصویر، شامل مقدار تصادفی انتخاب‌شده در صورت حذف Seed از ورودی؛ در غیر این صورت، مقدار ارائه‌شده را تکرار می‌کند. |
| `has_nsfw_concepts` | array of boolean | مشخص می‌کند مفاهیم NSFW در تصاویر تولیدشده ظاهر می‌شوند یا خیر. |
| `prompt` | string | پرامپت استفاده‌شده هنگام تولید تصویر. |

## Related models

- [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
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image
- [Nano Banana Pro](https://doitong.com/developers/models/nano-banana-pro.md) (`nano-banana-pro`): from $0.15 / image

## Links

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