# FLUX 2 Lora API

> تحويل النص إلى صورة باستخدام FLUX 2 يطبّق ما يصل إلى 3 أوزان LoRA مخصصة للنمط أو المظهر المضبوط دقيقًا

يولّد صورًا من موجّه مع تطبيق أوزان LoRA المحددة في `loras`، بحد أقصى 3، بصيغة URL أو معرّف مستودع أو مسار. تشمل عناصر التحكم `guidance_scale` (من 0 إلى 20)، ومن 4 إلى 50 خطوة استدلال، ومستوى `acceleration`، مع خيار توسيع الموجّه. ينتج ما يصل إلى 4 صور بصيغة jpeg أو png أو webp.

- Model id: `flux-2/lora`
- Made by: Black Forest Labs
- Category: Text to Image
- Output: image
- Price: $0.021 / megapixel (cheapest run $0.021 (21 API credits))
- Run: `POST https://api.doitong.com/v1/run/flux-2/lora`
- Quote: `POST https://api.doitong.com/v1/quote/flux-2/lora`
- Docs page: https://doitong.com/ar/developers/models/flux-2/lora

## Pricing

Price: **$0.021 / 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 $0.021 = 21 API credits (1 MP × 21 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/flux-2/lora` 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 |  |  | الموجّه الذي يوجّه توليد الصورة. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | إعداد الالتزام بالموجّه لبحث النموذج عن صورة مرتبطة لعرضها، معبرًا عنه بمقياس توجيه. |
| `seed` |  | integer \| null | no |  |  | تجاوز بذرة التوليد؛ يتيح حذفها للتوليد اختيار بذرة عشوائيًا. |
| `num_inference_steps` |  | integer | no | `28` | 4 – 50 | عدد خطوات الاستدلال المطلوب تنفيذها. |
| `image_size` |  | object {width, height} \| enum (string) | no | `landscape_4_3` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | حجم صورة المخرج، مقيد بحد أدنى 512 وحد أقصى 2048 بكسل على كل محور. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | عدد الصور المطلوب توليده. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | إعداد تسريع توليد الصور. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | تحسين الموجّه تلقائيًا: تمكّن true توسيع الموجّه لتحسين النتائج. |
| `enable_safety_checker` |  | boolean | no | `true` |  | فحص السلامة، الذي يعيد صورًا سوداء بدلًا من أي صور مصنفة على أنها غير آمنة. تُمكّن القيمة true الفحص؛ وتعطله false للحسابات المخولة فقط، بينما تُفحص الطلبات من دون تخويل على أي حال. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | تنسيق ملف الصورة الناتجة. |
| `loras` |  | array of object {path, scale} | no | `[]` |  | طبّق ما يصل إلى 3 أوزان LoRA عبر إدراج مواقعها كعناوين URL أو معرّفات مستودعات HuggingFace أو مسارات محلية. |
| `loras[].path` |  | string | yes |  |  | موقع أوزان LoRA، محدد كعنوان URL أو معرّف مستودع HuggingFace بصيغة owner/repo أو مسار محلي. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | عامل القياس المطبق على LoRA، ويتراوح من 0.0 إلى 4.0. |

## 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/flux-2/lora?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/flux-2/lora?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/flux-2/lora", 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": "flux-2/lora",
      "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": "flux-2/lora",
  "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": 21,
    "usd": "0.021",
    "charged": 21,
    "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",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200,
        "width": 1024,
        "height": 768
      }
    ],
    "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, content_type, file_name, file_size, width, height} | الصور الناتجة عن النموذج. |
| `timings` | object |  |
| `seed` | integer | بذرة توليد الصورة، بما في ذلك القيمة المختارة عشوائيًا إذا لم يتضمن المدخل بذرة؛ وإلا تكرر القيمة المقدمة. |
| `has_nsfw_concepts` | array of boolean | يشير إلى ما إذا كانت مفاهيم NSFW تظهر في الصور المُولّدة. |
| `prompt` | string | الموجّه المستخدم أثناء توليد الصورة. |

## Related models

- [FLUX 2 Flash](https://doitong.com/developers/models/flux-2/flash.md) (`flux-2/flash`): $0.005 / megapixel
- [FLUX 2 Turbo](https://doitong.com/developers/models/flux-2/turbo.md) (`flux-2/turbo`): $0.008 / 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
- [FLUX 2 Edit](https://doitong.com/developers/models/flux-2/edit.md) (`flux-2/edit`): $0.012 / megapixel
- [FLUX 2 Flash Edit](https://doitong.com/developers/models/flux-2/flash/edit.md) (`flux-2/flash/edit`): $0.005 / megapixel
- [FLUX 2 Lora Edit](https://doitong.com/developers/models/flux-2/lora/edit.md) (`flux-2/lora/edit`): $0.021 / megapixel
- [FLUX 2 Pro Edit](https://doitong.com/developers/models/flux-2-pro/edit.md) (`flux-2-pro/edit`): $0.105 / run

## Links

- HTML page: https://doitong.com/developers/models/flux-2/lora
- 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=flux-2/lora
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/flux-2/lora