# FLUX.1 Kontext [pro] API

> Ediziuns localas precisas a partir d'in sulet maletg da referenza, sco midar colurs, agiuntar objects u riscriver text.

FLUX.1 Kontext modifitgescha in sulet maletg d'input d'in'instruziun curta, laschond il rest da la maletg intact, quai che fa el fidabel per retuschadas iterativas, variaziuns da products e remplazzar text sin tavlas. Opziunalmain, imponi ina nova relaziun d'aspect, meglierescha il prompt u fixescha in seed. Fin a quatter resultats per dumonda.

- 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/rm/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 che gida la generaziun dal maletg. |
| `seed` |  | integer \| null | no |  |  | Semenza per maletgs reproducibels: in prompt ed ina semenza identics produceschan il medem maletg sch'è la versiun dal model invariada. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 20 | Furza d'aderenza al prompt per la selecziun dal maletg, exprimida sco CFG (Classifier Free Guidance). |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Dumber da maletgs dumandà per la generaziun. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Format da datoteca dal maletg final. |
| `safety_tolerance` |  | enum (string) | no | `2` | `1`, `2`, `3`, `4`, `5`, `6` | Configuraziun da segirezza dal maletg generà, cun ina toleranza che va da la permissivitad maximala a 5 fin a la severitad maximala a 1. |
| `enhance_prompt` |  | boolean | no | `false` |  | Controlla il meglierament dal prompt per meglierar ils resultats. |
| `aspect_ratio` |  | enum (string) \| null | no |  | `21:9`, `16:9`, `4:3`, `3:2`, `1:1`, `2:3`, `3:4`, `9:16`, `9:21` | Relaziun d'aspect dal maletg resultà. |
| `image_url` | `image` | string (image URL) | yes |  | ≥ 1 characters | Maletg utilisà per dar il prompt al model 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} | Infurmaziuns da la datoteca per ils maletgs generads. |
| `timings` | object |  |
| `seed` | integer | Seed da la generaziun dal maletg, inclusa la valur tschernida casualmain sche l'input n'ha betg furnì in seed; autramain repeta la valur furnida. |
| `has_nsfw_concepts` | array of boolean | Inditgescha sche concepts NSFW cumparan en ils maletgs generads. |
| `prompt` | string | Prompt utilisà durant la generaziun dal maletg. |

## 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