# FLUX.3 Klein Image Editing API

> Penyunting FLUX.3 Klein dengan sehingga 10 rujukan dan pilihan penempatan objek menggunakan kotak sempadan

Mengedit atau mengarang imej daripada prompt dan 1 hingga 10 rujukan dalam `image_urls`, yang boleh dirujuk oleh prompt mengikut susunan, seperti imej pertama. Sehingga 32 `bounding_boxes` boleh mengekalkan, mengalih, mengubah saiz, membuang atau menambah objek yang dinamakan dalam prompt melalui label. Pengembangan prompt dihidupkan secara lalai. Ia mengembalikan 1 hingga 4 imej dalam jpeg, png atau webp.

- Model id: `blackforestlabs/flux-3/klein/edit-image`
- Made by: Black Forest Labs
- Category: Image Editing
- Output: image
- Price per run: from $0.008 / run of output image (cheapest run $0.008 (8 API credits))
- Run: `POST https://api.doitong.com/v1/run/blackforestlabs/flux-3/klein/edit-image`
- Quote: `POST https://api.doitong.com/v1/quote/blackforestlabs/flux-3/klein/edit-image`
- Docs page: https://doitong.com/ms/developers/models/blackforestlabs/flux-3/klein/edit-image

## Pricing

Price: **from $0.008 / run of output image** (the lowest tier; the quote prices your exact input). Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.009 = 9 API credits (1 run × $0.009).

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/blackforestlabs/flux-3/klein/edit-image` 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 |  |  | Tulis kapsyen penuh yang menerangkan imej yang dikehendaki selepas penyuntingan, dengan mengenal pasti sebarang rujukan mengikut urutan, seperti imej pertama atau kedua. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Peluasan prompt menjadi kapsyen terperinci sebelum penjanaan, didayakan apabila true. Untuk penyuntingan, kapsyen berasaskan imej rujukan. |
| `seed` |  | integer \| null | no |  |  | Seed untuk imej yang boleh dihasilkan semula: prompt dan seed yang sama menghasilkan imej yang sama apabila versi model tidak berubah. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Bilangan imej yang diminta untuk penjanaan. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Pengaktifan pemeriksa keselamatan; true mendayakan pemeriksaan. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Format fail untuk imej yang terhasil. |
| `image_urls` | `images` | array of image URL | yes |  | 1 – 10 items | Imej rujukan yang digunakan untuk penyuntingan atau komposisi, terhad kepada 10. |
| `image_size` |  | object {width, height} \| enum (string) \| null | no |  | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Dimensi output lalai mengikut imej rujukan pertama, dihadkan kepada 1 megapiksel untuk berbilang rujukan atau diskalakan kepada maksimum 4 megapiksel untuk satu rujukan. Saiz eksplisit mesti mempunyai setiap sisi antara 256 hingga 4096 piksel. |
| `bounding_boxes` |  | array of object {label, description, box, source_image_index, source_box, target_box} \| null | no |  | ≤ 32 items | Susun atur objek pilihan untuk mengekalkan, mengalih, mengubah saiz atau membuang objek rujukan, atau meletakkan objek baharu. Koordinat bermula pada (0, 0) di sudut kiri atas setiap imej; rujuk kotak menggunakan label dalam prompt, seperti `<dragon>`. |
| `bounding_boxes[].label` |  | string \| null | no |  | ≤ 64 characters | Label objek ringkas untuk kotak, seperti `dragon`; lalainya ialah `obj_<n>`. Sertakan `<dragon>` dalam prompt untuk mengaitkan perkataannya dengan kotak; kotak yang tidak disebut dalam prompt ditambahkan ke dalam adegan. |
| `bounding_boxes[].description` |  | string | yes |  | ≤ 500 characters | Objek yang hendak dirender dalam kotak, termasuk rupanya. |
| `bounding_boxes[].box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Peletakan output untuk objek, menggantikan `source_box`/`target_box` dan menggunakan tingkah laku peletakan yang sama seperti teks-ke-imej. |
| `bounding_boxes[].box.x_min` |  | number | yes |  | 0 – 1 | Sempadan kiri yang dinyatakan relatif kepada lebar imej, dari 0 hingga 1. |
| `bounding_boxes[].box.y_min` |  | number | yes |  | 0 – 1 | Sempadan atas yang dinyatakan relatif kepada tinggi imej, dari 0 hingga 1. |
| `bounding_boxes[].box.x_max` |  | number | yes |  | 0 – 1 | Sempadan kanan yang dinyatakan relatif kepada lebar imej, dari 0 hingga 1. |
| `bounding_boxes[].box.y_max` |  | number | yes |  | 0 – 1 | Sempadan bawah yang dinyatakan relatif kepada tinggi imej, dari 0 hingga 1. |
| `bounding_boxes[].source_image_index` |  | integer \| null | no |  | ≥ 0 | Pemilihan sumber objek: abaikan untuk objek baharu, atau kenal pasti rujukan sedia ada menggunakan indeksnya dalam `image_urls`, dikira dari 0. |
| `bounding_boxes[].source_box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Lokasi objek dalam imej rujukan; `source_image_index` juga mesti diberikan. |
| `bounding_boxes[].source_box.x_min` |  | number | yes |  | 0 – 1 | Sempadan kiri yang dinyatakan relatif kepada lebar imej, dari 0 hingga 1. |
| `bounding_boxes[].source_box.y_min` |  | number | yes |  | 0 – 1 | Sempadan atas yang dinyatakan relatif kepada tinggi imej, dari 0 hingga 1. |
| `bounding_boxes[].source_box.x_max` |  | number | yes |  | 0 – 1 | Sempadan kanan yang dinyatakan relatif kepada lebar imej, dari 0 hingga 1. |
| `bounding_boxes[].source_box.y_max` |  | number | yes |  | 0 – 1 | Sempadan bawah yang dinyatakan relatif kepada tinggi imej, dari 0 hingga 1. |
| `bounding_boxes[].target_box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Kotak peletakan output untuk objek: mengalih atau mengubah saiz memerlukan kedua-dua kotak, manakala membuang objek rujukan memerlukan kotak ini dibiarkan tidak ditetapkan. |
| `bounding_boxes[].target_box.x_min` |  | number | yes |  | 0 – 1 | Sempadan kiri yang dinyatakan relatif kepada lebar imej, dari 0 hingga 1. |
| `bounding_boxes[].target_box.y_min` |  | number | yes |  | 0 – 1 | Sempadan atas yang dinyatakan relatif kepada tinggi imej, dari 0 hingga 1. |
| `bounding_boxes[].target_box.x_max` |  | number | yes |  | 0 – 1 | Sempadan kanan yang dinyatakan relatif kepada lebar imej, dari 0 hingga 1. |
| `bounding_boxes[].target_box.y_max` |  | number | yes |  | 0 – 1 | Sempadan bawah yang dinyatakan relatif kepada tinggi imej, dari 0 hingga 1. |

File parameters (`images`) 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",
  "images": [
    "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_urls": [
    "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/blackforestlabs/flux-3/klein/edit-image?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_urls": [
      "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/blackforestlabs/flux-3/klein/edit-image?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_urls": [
      "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_urls": [
        "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/blackforestlabs/flux-3/klein/edit-image", 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": "blackforestlabs/flux-3/klein/edit-image",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "image_urls": [
          "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": "blackforestlabs/flux-3/klein/edit-image",
  "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": 9,
    "usd": "0.009",
    "charged": 9,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "image_urls": [
      "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",
        "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} | Imej yang dihasilkan oleh model. |
| `timings` | object | Maklumat masa untuk proses penjanaan. |
| `seed` | integer | Seed penjanaan untuk imej pertama. |
| `has_nsfw_concepts` | array of boolean | Menunjukkan sama ada konsep NSFW muncul dalam imej yang dijana. |
| `prompt` | string | Prompt yang digunakan semasa penjanaan imej. |

## Related models

- [FLUX.3 Klein](https://doitong.com/developers/models/blackforestlabs/flux-3/klein/text-to-image.md) (`blackforestlabs/flux-3/klein/text-to-image`): from $0.008 / run of output 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
- [FLUX 2 Edit](https://doitong.com/developers/models/flux-2/edit.md) (`flux-2/edit`): $0.012 / megapixel

## Links

- HTML page: https://doitong.com/developers/models/blackforestlabs/flux-3/klein/edit-image
- 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=blackforestlabs/flux-3/klein/edit-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/blackforestlabs/flux-3/klein/edit-image