# FLUX.2 [dev] API

> ਦੂਜੀ ਪੀੜ੍ਹੀ ਦਾ ਓਪਨ FLUX ਮਾਡਲ, ਜੋ ਘੱਟ ਪ੍ਰਤੀ-ਮੈਗਾਪਿਕਸਲ ਕੀਮਤ 'ਤੇ ਪ੍ਰੌਂਪਟ ਦੀ ਬਿਹਤਰ ਪਾਲਣਾ ਕਰਦਾ ਹੈ।

FLUX.2 ਪਰਿਵਾਰ ਦਾ open-weights ਮੈਂਬਰ। FLUX.1 ਦੇ ਮੁਕਾਬਲੇ ਇਹ ਰਚਨਾ, ਸਮੱਗਰੀ ਅਤੇ ਰੌਸ਼ਨੀ ਸੰਬੰਧੀ ਹਦਾਇਤਾਂ ਨੂੰ ਵਧੇਰੇ ਭਰੋਸੇਯੋਗ ਢੰਗ ਨਾਲ ਕਾਇਮ ਰੱਖਦਾ ਹੈ ਅਤੇ ਚਿੱਤਰ ਬਣਾਉਣ ਤੋਂ ਪਹਿਲਾਂ ਛੋਟੇ ਪ੍ਰੌਂਪਟ ਨੂੰ ਵਿਕਲਪਿਕ ਤੌਰ 'ਤੇ ਵਧਾ ਸਕਦਾ ਹੈ। ਪ੍ਰੀਸੈਟ ਜਾਂ ਕਸਟਮ ਆਕਾਰ, 4 ਤੋਂ 50 ਸੈਂਪਲਿੰਗ ਕਦਮ ਅਤੇ ਹਰ ਬੇਨਤੀ ਲਈ ਵੱਧ ਤੋਂ ਵੱਧ ਚਾਰ ਚਿੱਤਰ ਚੁਣੋ; PNG, JPEG ਜਾਂ WebP ਆਉਟਪੁੱਟ।

- 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/pa/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 |  |  | ਚਿੱਤਰ ਸਿਰਜਣਾ ਨੂੰ ਦਿਸ਼ਾ ਦੇਣ ਵਾਲਾ ਪ੍ਰੌਂਪਟ। |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | ਸੰਬੰਧਿਤ ਦਿਖਾਏ ਜਾਣ ਵਾਲੇ ਚਿੱਤਰ ਦੀ ਮਾਡਲ ਖੋਜ ਲਈ ਪ੍ਰੌਂਪਟ ਅਨੁਕੂਲਤਾ ਸੈਟਿੰਗ, ਗਾਈਡੈਂਸ ਸਕੇਲ ਵਜੋਂ ਪ੍ਰਗਟ ਕੀਤੀ ਗਈ। |
| `seed` |  | integer \| null | no |  |  | ਸਿਰਜਣਾ ਸੀਡ ਓਵਰਰਾਈਡ; ਇਸ ਨੂੰ ਛੱਡਣ ਨਾਲ ਸਿਰਜਣਾ ਬੇਤਰਤੀਬੇ ਤੌਰ 'ਤੇ ਸੀਡ ਚੁਣਦੀ ਹੈ। |
| `num_inference_steps` |  | integer | no | `28` | 4 – 50 | ਚਲਾਏ ਜਾਣ ਵਾਲੇ ਇਨਫ਼ਰੈਂਸ ਕਦਮਾਂ ਦੀ ਗਿਣਤੀ। |
| `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` | ਆਉਟਪੁੱਟ ਚਿੱਤਰ ਦਾ ਆਕਾਰ, ਹਰੇਕ ਧੁਰੀ 'ਤੇ ਘੱਟੋ-ਘੱਟ 512 ਅਤੇ ਵੱਧ ਤੋਂ ਵੱਧ 2048 ਪਿਕਸਲ ਤੱਕ ਸੀਮਿਤ। |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | ਸਿਰਜਣਾ ਲਈ ਮੰਗੀ ਗਈ ਚਿੱਤਰਾਂ ਦੀ ਗਿਣਤੀ। |
| `acceleration` |  | enum (string) | no | `regular` | `none`, `regular`, `high` | ਚਿੱਤਰ ਬਣਾਉਣ ਲਈ ਤੇਜ਼ੀ ਦੀ ਸੈਟਿੰਗ। |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | ਆਟੋਮੈਟਿਕ ਪ੍ਰੌਂਪਟ ਸੁਧਾਰ: true ਪ੍ਰੌਂਪਟ ਦਾ ਵਿਸਤਾਰ ਕਰਕੇ ਨਤੀਜੇ ਸੁਧਾਰਦਾ ਹੈ। |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | ਨਤੀਜੇ ਵਾਲੇ ਚਿੱਤਰ ਦਾ ਫ਼ਾਈਲ ਫਾਰਮੈਟ। |

## 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} | ਮਾਡਲ ਦੁਆਰਾ ਤਿਆਰ ਕੀਤੇ ਚਿੱਤਰ। |
| `timings` | object |  |
| `seed` | integer | ਚਿੱਤਰ-ਸਿਰਜਣਾ ਸੀਡ, ਜਿਸ ਵਿੱਚ ਇਨਪੁੱਟ ਵਿੱਚ ਸੀਡ ਨਾ ਦੇਣ 'ਤੇ ਬੇਤਰਤੀਬ ਚੁਣੀ ਗਈ ਕੀਮਤ ਸ਼ਾਮਲ ਹੁੰਦੀ ਹੈ; ਨਹੀਂ ਤਾਂ ਦਿੱਤੀ ਕੀਮਤ ਦੁਹਰਾਈ ਜਾਂਦੀ ਹੈ। |
| `has_nsfw_concepts` | array of boolean | ਦੱਸਦਾ ਹੈ ਕਿ ਸਿਰਜੇ ਗਏ ਚਿੱਤਰਾਂ ਵਿੱਚ NSFW ਧਾਰਨਾਵਾਂ ਮੌਜੂਦ ਹਨ ਜਾਂ ਨਹੀਂ। |
| `prompt` | string | ਚਿੱਤਰ ਸਿਰਜਣਾ ਦੌਰਾਨ ਵਰਤਿਆ ਜਾਣ ਵਾਲਾ ਪ੍ਰੌਂਪਟ। |

## 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