# FLUX.1 Kontext [pro] API

> Precyzyjna lokalna edycja z jednego obrazu referencyjnego, na przykład zmiana kolorów, dodawanie obiektów lub przepisywanie tekstu.

FLUX.1 Kontext edytuje pojedynczy obraz wejściowy na podstawie krótkiej instrukcji, pozostawiając resztę obrazu bez zmian, dzięki czemu dobrze sprawdza się przy iteracyjnym retuszu, wariantach produktu i zastępowaniu tekstu na znakach. Opcjonalnie wymusza nowe proporcje obrazu, ulepsza prompt lub ustawia ziarno. Do czterech wyników na żądanie.

- Model id: `flux-pro/kontext`
- Made by: Black Forest Labs
- Category: Image Editing
- Output: image
- Price: $0.04 / image (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.ru/v1/run/flux-pro/kontext`
- Quote: `POST https://api.doitong.ru/v1/quote/flux-pro/kontext`
- Docs page: https://doitong.com/pl/developers/models/flux-pro/kontext

## Pricing

Price: **$0.04 / image**. Billed per generated image (`num_images`, default 1).

The full example input below costs $0.04 = 40 API credits (1 image × 40 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.ru/v1/quote/flux-pro/kontext` 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 sterujący generowaniem obrazu. |
| `seed` |  | integer \| null | no |  |  | Ziarno powtarzalnych obrazów: identyczny prompt i ziarno tworzą identyczny obraz, gdy wersja modelu się nie zmieniła. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 20 | Siła zgodności z promptem przy wyborze obrazu, wyrażona jako CFG (Classifier Free Guidance). |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Liczba obrazów żądanych do wygenerowania. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Format pliku wynikowego obrazu. |
| `safety_tolerance` |  | enum (string) | no | `2` | `1`, `2`, `3`, `4`, `5`, `6` | Ustawienie bezpieczeństwa generowanego obrazu, z tolerancją od maksymalnej swobody przy 5 do maksymalnej restrykcyjności przy 1. |
| `enhance_prompt` |  | boolean | no | `false` |  | Steruje ulepszaniem promptu w celu poprawy wyników. |
| `aspect_ratio` |  | enum (string) \| null | no |  | `21:9`, `16:9`, `4:3`, `3:2`, `1:1`, `2:3`, `3:4`, `9:16`, `9:21` | Proporcje wynikowego obrazu. |
| `image_url` | `image` | string (image URL) | yes |  | ≥ 1 characters | Obraz używany jako prompt dla modelu omni. |

File parameters (`image`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "prompt": "Change the sneaker color to bright red, keep everything else the same",
  "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
}
```

A fuller example:

```json
{
  "prompt": "Change the sneaker color to bright red, keep everything else the same",
  "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
}
```

## 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.ru/v1/run/flux-pro/kontext?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Change the sneaker color to bright red, keep everything else the same",
    "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/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-pro/kontext?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Change the sneaker color to bright red, keep everything else the same",
    "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  }),
});
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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "Change the sneaker color to bright red, keep everything else the same",
    "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-pro/kontext", 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.ru/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-pro/kontext",
      "input": {
        "prompt": "Change the sneaker color to bright red, keep everything else the same",
        "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
      },
      "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-pro/kontext",
  "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": 40,
    "usd": "0.04",
    "charged": 40,
    "refunded": 0
  },
  "input": {
    "prompt": "Change the sneaker color to bright red, keep everything else the same",
    "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  },
  "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Informacje o plikach wygenerowanych obrazów. |
| `timings` | object |  |
| `seed` | integer | Ziarno generowania obrazu, zawierające wartość wybraną losowo, jeśli dane wejściowe nie zawierały ziarna; w przeciwnym razie powtarza podaną wartość. |
| `has_nsfw_concepts` | array of boolean | Wskazuje, czy w wygenerowanych obrazach występują treści NSFW. |
| `prompt` | string | Prompt używany podczas generowania obrazu. |

## Related models

- [FLUX.1 Kontext \[dev\]](https://doitong.com/developers/models/flux-kontext/dev.md) (`flux-kontext/dev`): $0.025 / image
- [FLUX.1 Kontext \[max\]](https://doitong.com/developers/models/flux-pro/kontext/max.md) (`flux-pro/kontext/max`): $0.08 / image
- [FLUX.1 Kontext · Max · Multi](https://doitong.com/developers/models/flux-pro/kontext/max/multi.md) (`flux-pro/kontext/max/multi`): $0.08 / image
- [FLUX.1 Kontext · Max · Text to Image](https://doitong.com/developers/models/flux-pro/kontext/max/text-to-image.md) (`flux-pro/kontext/max/text-to-image`): $0.08 / image
- [FLUX.1 Kontext · Multi](https://doitong.com/developers/models/flux-pro/kontext/multi.md) (`flux-pro/kontext/multi`): $0.04 / image
- [FLUX.1 Kontext · Text to Image](https://doitong.com/developers/models/flux-pro/kontext/text-to-image.md) (`flux-pro/kontext/text-to-image`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image

## Links

- HTML page: https://doitong.com/developers/models/flux-pro/kontext
- 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-pro/kontext
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/flux-pro/kontext