# FLUX.3 Klein Image Editing API

> FLUX.3 Klein editor na may hanggang 10 reference at opsyonal na object placement gamit ang bounding box

Nag-e-edit o bumubuo ng mga larawan mula sa prompt at 1 hanggang 10 reference sa `image_urls`, na maaaring tukuyin ng prompt ayon sa ayos, gaya ng unang larawan. Maaaring panatilihin, ilipat, baguhin ang laki, alisin o idagdag ng hanggang 32 `bounding_boxes` ang mga object, na pinapangalanan sa prompt ayon sa label. Default na naka-on ang prompt expansion. Nagbabalik ito ng 1 hanggang 4 na larawan sa 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/fil/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 |  |  | Sumulat ng buong caption na naglalarawan sa ninanais na larawan matapos ang pag-edit, at tukuyin ang mga reference ayon sa sequence, gaya ng unang larawan o ikalawang larawan. |
| `enable_prompt_expansion` |  | boolean | no | `true` |  | Pagpapalawak ng prompt sa detalyadong caption bago ang pagbuo, na pinapagana kapag true. Sa pag-edit, ibinabatay ang caption sa mga reference larawan. |
| `seed` |  | integer \| null | no |  |  | Seed para sa nauulit na mga larawan: ang magkaparehong prompt at seed ay gumagawa ng magkaparehong larawan kapag hindi nagbago ang bersyon ng modelo. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Bilang ng larawang hinihingi para sa pagbuo. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Pag-activate ng safety checker; pinapagana ng true ang checking. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | File format ng resultang larawan. |
| `image_urls` | `images` | array of image URL | yes |  | 1 – 10 items | Mga reference larawan na ginagamit sa pag-edit o komposisyon, na limitado sa 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` | Default ang output dimensions sa mga sukat ng unang reference, nililimitahan sa 1 megapixel para sa maraming reference o ina-scale hanggang 4 megapixel para sa iisang reference. Ang tahasang mga sukat ay dapat may bawat side na nasa pagitan ng 256 at 4096 pixels. |
| `bounding_boxes` |  | array of object {label, description, box, source_image_index, source_box, target_box} \| null | no |  | ≤ 32 items | Opsyonal na layout ng object para panatilihin, ilipat, baguhin ang laki, o alisin ang mga reference object, o maglagay ng bagong object. Nagsisimula ang mga coordinate sa (0, 0) sa upper-left corner ng bawat larawan; tukuyin ang mga box gamit ang mga label sa prompt, gaya ng `<dragon>`. |
| `bounding_boxes[].label` |  | string \| null | no |  | ≤ 64 characters | Maikling label ng object para sa box, gaya ng `dragon`; ang default ay `obj_<n>`. Isama ang `<dragon>` sa prompt upang iugnay rito ang mga salita nito; idinaragdag sa scene ang mga box na hindi binanggit sa prompt. |
| `bounding_boxes[].description` |  | string | yes |  | ≤ 500 characters | Object na ire-render sa loob ng box, kasama ang hitsura nito. |
| `bounding_boxes[].box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Placement ng object sa output, na pumapalit sa `source_box`/`target_box` at gumagamit ng parehong placement behavior gaya ng text-to-image. |
| `bounding_boxes[].box.x_min` |  | number | yes |  | 0 – 1 | Kaliwang boundary na ipinahayag kaugnay ng lapad ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].box.y_min` |  | number | yes |  | 0 – 1 | Mataas na boundary na ipinahayag kaugnay ng taas ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].box.x_max` |  | number | yes |  | 0 – 1 | Kanang boundary na ipinahayag kaugnay ng lapad ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].box.y_max` |  | number | yes |  | 0 – 1 | Mababang boundary na ipinahayag kaugnay ng taas ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].source_image_index` |  | integer \| null | no |  | ≥ 0 | Pagpili ng source object: huwag isama para sa bagong object, o tukuyin ang kasalukuyang reference gamit ang index nito sa `image_urls`, na nagsisimula sa 0. |
| `bounding_boxes[].source_box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Lokasyon ng object sa loob ng reference larawan; kailangan ding ibigay ang `source_image_index`. |
| `bounding_boxes[].source_box.x_min` |  | number | yes |  | 0 – 1 | Kaliwang boundary na ipinahayag kaugnay ng lapad ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].source_box.y_min` |  | number | yes |  | 0 – 1 | Mataas na boundary na ipinahayag kaugnay ng taas ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].source_box.x_max` |  | number | yes |  | 0 – 1 | Kanang boundary na ipinahayag kaugnay ng lapad ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].source_box.y_max` |  | number | yes |  | 0 – 1 | Mababang boundary na ipinahayag kaugnay ng taas ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].target_box` |  | object {x_min, y_min, x_max, y_max} \| null | no |  |  | Placement box ng object sa output: kailangan ang parehong box sa paglipat o pagbabago ng laki, habang sa pag-aalis ng reference object ay dapat walang laman ang box na ito. |
| `bounding_boxes[].target_box.x_min` |  | number | yes |  | 0 – 1 | Kaliwang boundary na ipinahayag kaugnay ng lapad ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].target_box.y_min` |  | number | yes |  | 0 – 1 | Mataas na boundary na ipinahayag kaugnay ng taas ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].target_box.x_max` |  | number | yes |  | 0 – 1 | Kanang boundary na ipinahayag kaugnay ng lapad ng larawan, mula 0 hanggang 1. |
| `bounding_boxes[].target_box.y_max` |  | number | yes |  | 0 – 1 | Mababang boundary na ipinahayag kaugnay ng taas ng larawan, mula 0 hanggang 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} | Mga larawang ginawa ng modelo. |
| `timings` | object | Impormasyon sa oras para sa proseso ng pagbuo. |
| `seed` | integer | Seed ng pagbuo para sa unang larawan. |
| `has_nsfw_concepts` | array of boolean | Nagsasaad kung may mga konseptong NSFW sa nabuong mga larawan. |
| `prompt` | string | Prompt na ginagamit sa pagbuo ng larawan. |

## 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