# Flux Kontext Lora API

> Eagarthóireacht íomhá Kontext dev a lódálann LoRAs saincheaptha do stíleanna nó brandaí

Cuireann sé an íomhá ag `image_url` in eagar de réir `prompt`, agus cuireann sé `loras` amháin nó níos mó i bhfeidhm trína gcumasc le chéile. Cuireann sé roghanna `resolution_mode` ar fáil lena n-áirítear match_input, leibhéil `acceleration`, 10 go 50 céim agus suas le 4 aschur. Is é png an t-aschur réamhshocraithe.

- Model id: `flux-kontext-lora`
- Made by: Black Forest Labs
- Category: Image Editing
- Output: image
- Estimated price per run: $0.07 / image (cheapest run $0.07 (70 API credits))
- Run: `POST https://api.doitong.com/v1/run/flux-kontext-lora`
- Quote: `POST https://api.doitong.com/v1/quote/flux-kontext-lora`
- Docs page: https://doitong.com/ga/developers/models/flux-kontext-lora

## Pricing

Price: **$0.07 / 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 $0.07 = 70 API credits (1 image × 70 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-lora` 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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | URL íomhá le haghaidh eagarthóireachta, le leithead agus airde teoranta do 14142px an ceann agus am istigh 20 soicind. |
| `prompt` |  | string | yes |  |  | Leid ina gcuirtear síos ar na hathruithe íomhá. |
| `num_inference_steps` |  | integer | no | `30` | 10 – 50 | Líon na gcéimeanna tátail atá le rith. |
| `seed` |  | integer \| null | no |  |  | Síol le haghaidh íomhánna in-atáirgthe: cruthaíonn leid agus síol comhionanna íomhá chomhionann nuair nach n-athraítear leagan na samhla. |
| `guidance_scale` |  | number | no | `2.5` | 0 – 20 | Neart cloí leis an leid agus íomhánna á roghnú, léirithe mar CFG (Classifier Free Guidance). |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Líon na n-íomhánna a iarrtar don ghiniúint. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Seiceáil sábháilteachta, a thugann íomhánna dubha ar ais in áit aon íomhánna a mharcáiltear mar neamhshábháilte. Cumasaíonn true an tseiceáil; díchumasaíonn false í do chuntais údaraithe amháin, agus seiceáiltear iarratais gan údarú ar aon nós. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png` | Formáid comhaid na híomhá deiridh. |
| `loras` |  | array of object {path, scale} | no | `[]` |  | LoRAanna a dtáirgeann a n-éifeacht chomhcheangailte an íomhá ghinte, gan teorainn ar líon na gceann a sholáthraíonn tú. |
| `loras[].path` |  | string | yes |  |  | Suíomh na meáchain LoRA, sonraithe mar URL nó cosán. |
| `loras[].scale` |  | number | no | `1` | 0 – 4 | Iolraitheoir a chuirtear i bhfeidhm ar mheáchan an LoRA sula gcumasaítear é sa tsamhail bhunúsach. |
| `acceleration` |  | enum (string) | no | `none` | `none`, `regular`, `high` | Luasghéarú giniúna, agus socruithe níos airde ag laghdú an ama a theastaíonn chun torthaí a ghiniúint. |
| `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` | Roghnaigh conas a chinneann eagarthóireacht íomhá taifeach an aschuir: déanann `match_input` iarracht toisí an ionchuir a choinneáil ach déanann sé iad a choigeartú chun riachtanais na samhla a chomhlíonadh, lena n-áirítear iolraithe de 16 agus teorainneacha méide tacaithe. I gcás fhormhór na n-úsáidí, moltar `auto` mar úsáideann sé na taifigh ar ar cuireadh an tsamhail oiliúint, agus roghnaíonn sé an méid réamhshainithe is fearr do chóimheas gné an ionchuir. Tá cúpla cóimheas gné shoiléir ar fáil freisin. |

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-lora?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-lora?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-lora", 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-lora",
      "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-lora",
  "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": 70,
    "usd": "0.07",
    "charged": 70,
    "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} | Eolas comhaid do na híomhánna ginte. |
| `timings` | object |  |
| `seed` | integer | Síol giniúint íomhá, lena n-áirítear an luach a roghnaíodh go randamach mura raibh síol san ionchur; murach sin, athúsáideann sé an luach soláthraithe. |
| `has_nsfw_concepts` | array of boolean | Léiríonn sé cibé acu an bhfuil coincheapa NSFW le feiceáil sna híomhánna ginte. |
| `prompt` | string | Leid a úsáidtear le linn giniúint íomhá. |

## Related models

- [Flux Kontext Lora · Text to Image](https://doitong.com/developers/models/flux-kontext-lora/text-to-image.md) (`flux-kontext-lora/text-to-image`): $0.035 / megapixel
- [Flux Kontext Lora · Inpaint](https://doitong.com/developers/models/flux-kontext-lora/inpaint.md) (`flux-kontext-lora/inpaint`): $0.035 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $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
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image
- [Seedream 5.0 Pro Edit](https://doitong.com/developers/models/bytedance/seedream/v5/pro/edit.md) (`bytedance/seedream/v5/pro/edit`): from $0.0675 / run of output image

## Links

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