# FLUX.1 Kontext [dev] API

> Kontext-bilderedigering med åpne vekter, instruksjonsbasert og med hastighetsinnstilling

Redigerer et bilde fra `image_url` i henhold til en tekstbasert `prompt`. `resolution_mode` kan matche inndataene, velge automatisk eller tvinge et format som 16:9 eller 9:21. `acceleration` tilbyr none, regular eller high, og modellen støtter 10 til 50 trinn og opptil 4 resultater.

- Model id: `flux-kontext/dev`
- Made by: Black Forest Labs
- Category: Image Editing
- Output: image
- Estimated price per run: $0.025 / image (cheapest run $0.025 (25 API credits))
- Run: `POST https://api.doitong.com/v1/run/flux-kontext/dev`
- Quote: `POST https://api.doitong.com/v1/quote/flux-kontext/dev`
- Docs page: https://doitong.com/no/developers/models/flux-kontext/dev

## Pricing

Price: **$0.025 / image**. Estimated from the typical cost of one run, per output (`num_images`). The quote is exactly what the run charges.

The full example input below costs $0.025 = 25 API credits (1 image × 25 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-kontext/dev` 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 som beskriver bilderedigeringene. |
| `image_url` | `image` | string (image URL) | yes |  |  | Bilde-URL for redigering, med bredde og høyde begrenset til 14142px hver og en tidsavbruddsgrense på 20 sekunder. |
| `num_inference_steps` |  | integer | no | `28` | 10 – 50 | Antall inferenssteg som skal kjøres. |
| `seed` |  | integer \| null | no |  |  | Seed for reproduserbare bilder: en identisk prompt og seed gir et identisk bilde når modellversjonen er uendret. |
| `guidance_scale` |  | number | no | `2.5` | 1 – 20 | Styrke for prompt-etterlevelse ved bildeutvalg, uttrykt som CFG (Classifier Free Guidance). |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Antall bilder som etterspørres for generering. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Sikkerhetskontroll som returnerer svarte bilder i stedet for bilder som er flagget som utrygge. true aktiverer kontrollen; false deaktiverer den bare for autoriserte kontoer, mens forespørsler uten autorisasjon kontrolleres uansett. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Format brukt for utdata. |
| `acceleration` |  | enum (string) | no | `none` | `none`, `regular`, `high` | Akselerasjon av genereringen, der høyere innstillinger reduserer tiden som trengs for å generere resultater. |
| `resolution_mode` |  | enum (string) | no | `match_input` | `auto`, `match_input`, `1:1`, `16:9`, `21:9`, `3:2`, `2:3`, `4:5`, `5:4`, `3:4`, `4:3`, `9:16`, `9:21` | Velg hvordan bilderedigering bestemmer utdataoppløsningen: `match_input` forsøker å beholde inndatadimensjonene, men justerer dem etter modellkrav, inkludert multipler av 16 og støttede størrelsesgrenser. For de fleste bruksområder anbefales `auto`, fordi den bruker oppløsningene modellen ble trent på og velger den optimale forhåndsdefinerte størrelsen for inndataenes størrelsesforhold. Noen få eksplisitte størrelsesforhold er også tilgjengelige. |

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": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.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-kontext/dev?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.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-kontext/dev?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.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": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-kontext/dev", 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-kontext/dev",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.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-kontext/dev",
  "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": 25,
    "usd": "0.025",
    "charged": 25,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "width": 1024,
        "height": 768,
        "content_type": "image/jpeg"
      }
    ],
    "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, width, height, content_type} | Filinformasjon for de genererte bildene. |
| `timings` | object |  |
| `seed` | integer | Seed for bildegenerering, inkludert den tilfeldig valgte verdien hvis inndataene utelot en seed; ellers gjentas den oppgitte verdien. |
| `has_nsfw_concepts` | array of boolean | Angir om NSFW-konsepter forekommer i de genererte bildene. |
| `prompt` | string | Prompt brukt under bildegenerering. |

## Related models

- [FLUX.1 Kontext \[max\]](https://doitong.com/developers/models/flux-pro/kontext/max.md) (`flux-pro/kontext/max`): $0.08 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / 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-kontext/dev
- 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-kontext/dev
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/flux-kontext/dev