# FLUX.3 Klein Image Editing API

> Editor FLUX.3 Klein con hasta 10 referencias y colocación opcional de objetos mediante cuadros delimitadores

Edita o compone imágenes a partir de un prompt y de 1 a 10 referencias en `image_urls`, que el prompt puede citar por orden, como la primera imagen. Hasta 32 `bounding_boxes` permiten conservar, mover, cambiar de tamaño, eliminar o añadir objetos, identificados en el prompt mediante una etiqueta. La expansión del prompt está activada de forma predeterminada. Devuelve de 1 a 4 imágenes en jpeg, png o 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.ru/v1/run/blackforestlabs/flux-3/klein/edit-image`
- Quote: `POST https://api.doitong.ru/v1/quote/blackforestlabs/flux-3/klein/edit-image`
- Docs page: https://doitong.com/es/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.ru/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 |  |  | Escribe un pie de foto completo que describa la imagen deseada después de la edición e identifique las referencias por secuencia, como la primera o la segunda imagen. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Ampliación del prompt en un pie de foto detallado antes de la generación, habilitada cuando es true. Para la edición, el pie de foto se basa en las imágenes de referencia. |
| `seed` |  | integer \| null | no |  |  | Seed para obtener imágenes reproducibles: un prompt y una seed idénticos producen una imagen idéntica cuando la versión del modelo no cambia. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Cantidad de imágenes solicitada para la generación. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Activación del comprobador de seguridad; true activa la comprobación. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Formato de archivo de la imagen resultante. |
| `image_urls` | `images` | array of image URL | yes |  | 1 – 10 items | Imágenes de referencia utilizadas para edición o composición, limitadas a 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` | Las dimensiones de salida son, de forma predeterminada, las de la primera referencia, limitadas a 1 megapíxel para varias referencias o escaladas a un máximo de 4 megapíxeles para una sola referencia. Los tamaños explícitos deben tener cada lado entre 256 y 4096 píxeles. |
| `bounding_boxes` |  | array of object {label, description, box, source_image_index, source_box, target_box} \| null | no |  | ≤ 32 items | Diseño opcional de objetos para conservar, mover, cambiar de tamaño o eliminar objetos de referencia, o colocar objetos nuevos. Las coordenadas comienzan en (0, 0), en la esquina superior izquierda de cada imagen; haz referencia a los cuadros mediante etiquetas en el prompt, como `<dragon>`. |
| `bounding_boxes[].label` |  | string \| null | no |  | ≤ 64 characters | Etiqueta breve del objeto para el cuadro, como `dragon`; el valor predeterminado es `obj_<n>`. Incluye `<dragon>` en el prompt para asociar sus palabras al cuadro; los cuadros no mencionados en el prompt se añaden a la escena. |
| `bounding_boxes[].description` |  | string | yes |  | ≤ 500 characters | Objeto que se renderizará dentro del cuadro, incluida su apariencia. |
| `bounding_boxes[].box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Posición de salida del objeto, que reemplaza `source_box`/`target_box` y usa el mismo comportamiento de colocación que texto a imagen. |
| `bounding_boxes[].box.x_min` |  | number | yes |  | 0 – 1 | Límite izquierdo expresado respecto al ancho de la imagen, de 0 a 1. |
| `bounding_boxes[].box.y_min` |  | number | yes |  | 0 – 1 | Límite superior expresado respecto a la altura de la imagen, de 0 a 1. |
| `bounding_boxes[].box.x_max` |  | number | yes |  | 0 – 1 | Límite derecho expresado respecto al ancho de la imagen, de 0 a 1. |
| `bounding_boxes[].box.y_max` |  | number | yes |  | 0 – 1 | Límite inferior expresado respecto a la altura de la imagen, de 0 a 1. |
| `bounding_boxes[].source_image_index` |  | integer \| null | no |  | ≥ 0 | Selección del origen del objeto: omítelo para crear un objeto nuevo o identifica una referencia existente mediante su índice en `image_urls`, empezando a contar desde 0. |
| `bounding_boxes[].source_box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Ubicación del objeto dentro de la imagen de referencia; también debe proporcionarse `source_image_index`. |
| `bounding_boxes[].source_box.x_min` |  | number | yes |  | 0 – 1 | Límite izquierdo expresado respecto al ancho de la imagen, de 0 a 1. |
| `bounding_boxes[].source_box.y_min` |  | number | yes |  | 0 – 1 | Límite superior expresado respecto a la altura de la imagen, de 0 a 1. |
| `bounding_boxes[].source_box.x_max` |  | number | yes |  | 0 – 1 | Límite derecho expresado respecto al ancho de la imagen, de 0 a 1. |
| `bounding_boxes[].source_box.y_max` |  | number | yes |  | 0 – 1 | Límite inferior expresado respecto a la altura de la imagen, de 0 a 1. |
| `bounding_boxes[].target_box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Cuadro de posición de salida del objeto: mover o cambiar de tamaño requiere ambos cuadros, mientras que eliminar un objeto referenciado requiere dejar este cuadro sin establecer. |
| `bounding_boxes[].target_box.x_min` |  | number | yes |  | 0 – 1 | Límite izquierdo expresado respecto al ancho de la imagen, de 0 a 1. |
| `bounding_boxes[].target_box.y_min` |  | number | yes |  | 0 – 1 | Límite superior expresado respecto a la altura de la imagen, de 0 a 1. |
| `bounding_boxes[].target_box.x_max` |  | number | yes |  | 0 – 1 | Límite derecho expresado respecto al ancho de la imagen, de 0 a 1. |
| `bounding_boxes[].target_box.y_max` |  | number | yes |  | 0 – 1 | Límite inferior expresado respecto a la altura de la imagen, de 0 a 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.ru/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.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/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.ru/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.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": "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.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} | Imágenes producidas por el modelo. |
| `timings` | object | Información temporal del proceso de generación. |
| `seed` | integer | Seed de generación para la primera imagen. |
| `has_nsfw_concepts` | array of boolean | Indica si aparecen conceptos NSFW en las imágenes generadas. |
| `prompt` | string | Prompt utilizado durante la generación de imágenes. |

## 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.ru/v1/models/blackforestlabs/flux-3/klein/edit-image