# FLUX.1 Kontext [pro] API

> Præcise lokale redigeringer fra ét referencebillede, f.eks. ændring af farver, tilføjelse af objekter eller omskrivning af tekst.

FLUX.1 Kontext redigerer ét inputbillede ud fra en kort instruktion, mens resten af billedet forbliver uændret, hvilket gør den pålidelig til iterativ retouchering, produktvariationer og udskiftning af tekst på skilte. Du kan valgfrit gennemtvinge et nyt formatforhold, forbedre prompten eller fastlåse et seed. Op til fire resultater pr. anmodning.

- 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.com/v1/run/flux-pro/kontext`
- Quote: `POST https://api.doitong.com/v1/quote/flux-pro/kontext`
- Docs page: https://doitong.com/da/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.com/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, der styrer billedgenerering. |
| `seed` |  | integer \| null | no |  |  | Seed til reproducerbare billeder: En identisk prompt og seed producerer et identisk billede, når modelversionen er uændret. |
| `guidance_scale` |  | number | no | `3.5` | 1 – 20 | Styrke for prompt-overensstemmelse ved billedvalg, udtrykt som CFG (Classifier Free Guidance). |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Antal billeder, der ønskes genereret. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Filformat for det resulterende billede. |
| `safety_tolerance` |  | enum (string) | no | `2` | `1`, `2`, `3`, `4`, `5`, `6` | Sikkerhedsindstilling for genererede billeder, med en tolerance fra maksimal åbenhed ved 5 til maksimal strenghed ved 1. |
| `enhance_prompt` |  | boolean | no | `false` |  | Styrer promptforbedring for at forbedre resultaterne. |
| `aspect_ratio` |  | enum (string) \| null | no |  | `21:9`, `16:9`, `4:3`, `3:2`, `1:1`, `2:3`, `3:4`, `9:16`, `9:21` | Højde-bredde-forhold for det resulterende billede. |
| `image_url` | `image` | string (image URL) | yes |  | ≥ 1 characters | Billede, der bruges til at give omni-modellen en prompt. |

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.com/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.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-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.com/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.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-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.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} | Filoplysninger for de genererede billeder. |
| `timings` | object |  |
| `seed` | integer | Seed til billedgenerering, inklusive den tilfældigt valgte værdi, hvis inputtet ikke angav en seed; ellers gentages den angivne værdi. |
| `has_nsfw_concepts` | array of boolean | Angiver, om NSFW-koncepter forekommer i de genererede billeder. |
| `prompt` | string | Prompt brugt under billedgenerering. |

## 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.com/v1/models/flux-pro/kontext