# FLUX.2 [dev] API

> Offenes FLUX-Modell der zweiten Generierung mit besserer Prompt-Befolgung zu einem niedrigen Preis pro Megapixel.

Das Modell mit offenen Gewichten aus der FLUX.2-Familie. Im Vergleich zu FLUX.1 hält es Anweisungen zu Komposition, Materialien und Beleuchtung zuverlässiger ein und kann einen kurzen Prompt optional vor der Bildgenerierung erweitern. Wählen Sie eine Voreinstellung oder eine benutzerdefinierte Größe, 4 bis 50 Sampling-Schritte und bis zu vier Bilder pro Anfrage; Ausgabe als PNG, JPEG oder WebP.

- 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/de/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 |  |  | Prompt zur Steuerung der Bildgenerierung. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | Prompt-Treue bei der Suche des Modells nach einem verwandten anzuzeigenden Bild, angegeben als Guidance-Skala. |
| `seed` |  | integer \| null | no |  |  | Überschreibung des Generierungs-Seeds; wird der Wert weggelassen, wählt die Generierung zufällig einen Seed. |
| `num_inference_steps` |  | integer | no | `28` | 4 – 50 | Anzahl der auszuführenden Inferenzschritte. |
| `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` | Ausgabebildgröße, begrenzt auf mindestens 512 und höchstens 2048 Pixel je Achse. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Für die Generierung angeforderte Bildanzahl. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Beschleunigungseinstellung für die Bildgenerierung. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Automatische Prompt-Erweiterung: true erweitert den Prompt, um die Ergebnisse zu verbessern. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Dateiformat des resultierenden Bilds. |

## 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} | Vom Modell erzeugte Bilder. |
| `timings` | object |  |
| `seed` | integer | Seed der Bildgenerierung einschließlich des zufällig gewählten Werts, falls die Eingabe keinen Seed enthielt; andernfalls wird der angegebene Wert wiederholt. |
| `has_nsfw_concepts` | array of boolean | Gibt an, ob NSFW-Konzepte in den generierten Bildern vorkommen. |
| `prompt` | string | Während der Bildgenerierung verwendeter Prompt. |

## 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