# FLUX.2 [dev] API

> Model FLUX terbuka generasi kedua dengan pematuhan prompt yang lebih baik pada harga rendah bagi setiap megapiksel.

Ahli keluarga FLUX.2 dengan pemberat terbuka. Berbanding FLUX.1, ia mengekalkan arahan komposisi, bahan dan pencahayaan dengan lebih konsisten serta boleh mengembangkan prompt pendek secara pilihan sebelum melukis. Pilih saiz pratetap atau tersuai, 4 hingga 50 langkah pensampelan dan sehingga empat imej bagi setiap permintaan; output PNG, JPEG atau 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/ms/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 yang memandu penjanaan imej. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | Tetapan pematuhan prompt untuk carian model terhadap imej berkaitan yang hendak dipaparkan, dinyatakan sebagai skala panduan. |
| `seed` |  | integer \| null | no |  |  | Penggantian seed penjanaan; jika ditinggalkan, penjanaan memilih seed secara rawak. |
| `num_inference_steps` |  | integer | no | `28` | 4 – 50 | Bilangan langkah inferens yang perlu dijalankan. |
| `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` | Saiz imej output, terhad kepada minimum 512 dan maksimum 2048 piksel pada setiap paksi. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Bilangan imej yang diminta untuk penjanaan. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Tetapan pecutan untuk menjana imej. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Peningkatan prompt automatik: true mengaktifkan pengembangan prompt untuk memperbaik hasil. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Format fail untuk imej yang terhasil. |

## 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} | Imej yang dihasilkan oleh model. |
| `timings` | object |  |
| `seed` | integer | Seed penjanaan imej, termasuk nilai yang dipilih secara rawak jika input tidak membekalkan seed; jika tidak, nilai yang dibekalkan diulang. |
| `has_nsfw_concepts` | array of boolean | Menunjukkan sama ada konsep NSFW muncul dalam imej yang dijana. |
| `prompt` | string | Prompt yang digunakan semasa penjanaan imej. |

## 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