# FLUX.2 [dev] API

> Megapiksel başına düşük fiyatla daha iyi istem takibi sunan ikinci nesil açık FLUX modeli.

FLUX.2 ailesinin açık ağırlıklı üyesidir. FLUX.1 ile karşılaştırıldığında kompozisyon, malzemeler ve ışıklandırma talimatlarını daha güvenilir biçimde korur ve çizimden önce kısa bir istemi isteğe bağlı olarak genişletebilir. Bir ön ayar veya özel boyut, 4 ile 50 örnekleme adımı ve istek başına en fazla dört görüntü seçin; PNG, JPEG veya WebP çıktısı alın.

- Model id: `flux-2`
- Made by: Black Forest Labs
- Category: Text to Image
- Output: image
- Price: $0.012 / megapixel (cheapest run $0.012 (12 API credits))
- Run: `POST https://api.doitong.com/v1/run/flux-2`
- Quote: `POST https://api.doitong.com/v1/quote/flux-2`
- Docs page: https://doitong.com/tr/developers/models/flux-2

## Pricing

Price: **$0.012 / 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 $0.012 = 12 API credits (1 MP × 12 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` 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 |  |  | Görsel üretimine yön veren istem. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | Modelin görüntülenecek ilişkili bir görsel aramasındaki istem uyumu ayarı; yönlendirme ölçeği olarak ifade edilir. |
| `seed` |  | integer \| null | no |  |  | Üretim seed'i geçersiz kılma değeri; belirtilmemesi, üretimin rastgele bir seed seçmesini sağlar. |
| `num_inference_steps` |  | integer | no | `28` | 4 – 50 | Çalıştırılacak çıkarım adımlarının sayısı. |
| `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` | Çıktı görseli boyutu; her eksende minimum 512 ve maksimum 2048 piksel ile sınırlıdır. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Üretim için istenen görsel sayısı. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Görsel üretimi için hızlandırma ayarı. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Otomatik istem geliştirme: true, sonuçları iyileştirmek için istemin genişletilmesini etkinleştirir. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Ortaya çıkan görselin dosya biçimi. |

## Example input

Required parameters only:

```json
{
  "prompt": "Dutch angle close-up of a mountain climber at dawn, frost on the beard, dramatic rim light, gritty realism"
}
```

A fuller example:

```json
{
  "prompt": "Dutch angle close-up of a mountain climber at dawn, frost on the beard, dramatic rim light, gritty realism",
  "image_size": "landscape_16_9"
}
```

## 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?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Dutch angle close-up of a mountain climber at dawn, frost on the beard, dramatic rim light, gritty realism",
    "image_size": "landscape_16_9"
  }'

# 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?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Dutch angle close-up of a mountain climber at dawn, frost on the beard, dramatic rim light, gritty realism",
    "image_size": "landscape_16_9"
  }),
});
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": "Dutch angle close-up of a mountain climber at dawn, frost on the beard, dramatic rim light, gritty realism",
    "image_size": "landscape_16_9",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-2", 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",
      "input": {
        "prompt": "Dutch angle close-up of a mountain climber at dawn, frost on the beard, dramatic rim light, gritty realism",
        "image_size": "landscape_16_9"
      },
      "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",
  "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": 12,
    "usd": "0.012",
    "charged": 12,
    "refunded": 0
  },
  "input": {
    "prompt": "Dutch angle close-up of a mountain climber at dawn, frost on the beard, dramatic rim light, gritty realism",
    "image_size": "landscape_16_9"
  },
  "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} | Model tarafından oluşturulan görseller. |
| `timings` | object |  |
| `seed` | integer | Görsel üretimi seed'i; girdi seed sağlamadıysa rastgele seçilen değeri içerir, aksi durumda sağlanan değeri tekrarlar. |
| `has_nsfw_concepts` | array of boolean | Üretilen görsellerde NSFW kavramlarının bulunup bulunmadığını belirtir. |
| `prompt` | string | Görsel üretimi sırasında kullanılan istem. |

## Related models

- [FLUX 2 Flash](https://doitong.com/developers/models/flux-2/flash.md) (`flux-2/flash`): $0.005 / megapixel
- [FLUX 2 Lora](https://doitong.com/developers/models/flux-2/lora.md) (`flux-2/lora`): $0.021 / megapixel
- [FLUX 2 Turbo](https://doitong.com/developers/models/flux-2/turbo.md) (`flux-2/turbo`): $0.008 / 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
- 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
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/flux-2