# FLUX.2 [dev] API

> Otrās paaudzes atvērtais FLUX modelis ar labāku uzvedņu ievērošanu un zemu cenu par megapikseli.

FLUX.2 saimes modelis ar atvērtajiem svariem. Salīdzinājumā ar FLUX.1 tas uzticamāk ievēro kompozīcijas, materiālu un apgaismojuma instrukcijas un pēc izvēles var izvērst īsu uzvedni pirms attēla zīmēšanas. Izvēlieties iestatītu vai pielāgotu izmēru, 4 līdz 50 paraugu ģenerēšanas soļus un līdz četriem attēliem vienā pieprasījumā; PNG, JPEG vai WebP izvade.

- 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/lv/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 |  |  | Uzvedne, kas vada attēla ģenerēšanu. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | Modeļa meklēšanas uzvednes ievērošanas iestatījums saistīta attēla parādīšanai, izteikts kā vadības mērogs. |
| `seed` |  | integer \| null | no |  |  | Ģenerēšanas sēklas aizstāšana; ja tā nav norādīta, ģenerēšana izvēlas sēklu nejauši. |
| `num_inference_steps` |  | integer | no | `28` | 4 – 50 | Veicamo secināšanas darbību skaits. |
| `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` | Izvades attēla izmērs, katrai asij ierobežots no 512 līdz 2048 pikseļiem. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Ģenerēšanai pieprasītais attēlu skaits. |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | Attēlu ģenerēšanas paātrinājuma iestatījums. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Automātiska uzvednes uzlabošana: true iespējo uzvednes paplašināšanu rezultātu uzlabošanai. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Iegūtā attēla faila formāts. |

## 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} | Modeļa ģenerētie attēli. |
| `timings` | object |  |
| `seed` | integer | Attēla ģenerēšanas sēkla, tostarp nejauši izvēlētā vērtība, ja ievadē sēkla nebija norādīta; pretējā gadījumā atkārto norādīto vērtību. |
| `has_nsfw_concepts` | array of boolean | Norāda, vai ģenerētajos attēlos parādās NSFW koncepcijas. |
| `prompt` | string | Attēla ģenerēšanas laikā izmantotā uzvedne. |

## 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