# Nano Banana Pro Edit API

> Menyunting atau menggabungkan foto dengan arahan bahasa biasa, sambil mengekalkan wajah dan produk, sehingga 4K.

Mod penyuntingan Nano Banana Pro: berikan satu atau lebih imej dan huraikan perubahan, seperti menukar latar belakang, menggabungkan seseorang dan produk dalam satu pemandangan, menukar gaya atau membetulkan teks pada papan tanda. Ia mengekalkan identiti dan butiran secara konsisten merentas suntingan. Output pada 1K, 2K atau 4K dalam sebarang nisbah aspek biasa, pembumian web pilihan, sehingga empat hasil bagi setiap permintaan.

- Model id: `nano-banana-pro/edit`
- Made by: Google
- Category: Image Editing
- Output: image
- Price: from $0.15 / image (cheapest run $0.15 (150 API credits))
- Run: `POST https://api.doitong.com/v1/run/nano-banana-pro/edit`
- Quote: `POST https://api.doitong.com/v1/quote/nano-banana-pro/edit`
- Docs page: https://doitong.com/ms/developers/models/nano-banana-pro/edit

## Pricing

Price: **from $0.15 / image** (the lowest tier; the quote prices your exact input). Billed per generated image (`num_images`, default 1).

Price rules (the first rule that matches the input wins; a parameter you leave out counts as its default):

- When `resolution` = 4K and `enable_web_search` = true: $0.315 (315 API credits) / image
- When `resolution` = 4K: $0.30 (300 API credits) / image
- When `enable_web_search` = true: $0.165 (165 API credits) / image

The full example input below costs $0.15 = 150 API credits (1 image × 150 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/nano-banana-pro/edit` 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 |  | 3 – 50000 characters | Arahan teks untuk menyunting imej. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Bilangan imej yang diminta untuk penjanaan. |
| `seed` |  | integer \| null | no |  |  | Nilai seed yang memulakan penjanaan nombor rawak. |
| `aspect_ratio` |  | enum (string) \| null | no | `auto` | `auto`, `21:9`, `16:9`, `3:2`, `4:3`, `5:4`, `1:1`, `4:5`, `3:4`, `2:3`, `9:16` | Nisbah bidang untuk imej yang terhasil. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Format fail untuk imej yang terhasil. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | Tetapkan toleransi penyederhanaan kandungan antara tahap paling kurang ketat, 6, dan tahap paling ketat, 1, yang menyekat kebanyakan kandungan. |
| `image_urls` | `images` | array of image URL | yes |  |  | URL yang mengenal pasti imej sumber untuk penyuntingan atau penjanaan imej-ke-imej. |
| `system_prompt` |  | string | no | `` | ≤ 50000 characters | Panduan persona dan gaya output pilihan yang meliputi seluruh permintaan, dihantar kepada Gemini sebagai arahan sistem atau kepada penyedia serasi OpenAI sebagai mesej sistem. Tiada apa-apa dihantar untuk arahan ini apabila nilainya kosong. |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K`, `4K` | Resolusi untuk imej output. |
| `limit_generations` |  | boolean | no | `true` |  | Had penjanaan percubaan: mendayakan `True` menggantikan sebarang arahan bilangan imej dalam prompt dan mengehadkan setiap pusingan prompting kepada 1 penjanaan. |
| `enable_web_search` |  | boolean | no | `false` |  | Suis carian web untuk penjanaan imej, yang membolehkan model memasukkan maklumat terkini yang ditemui dalam talian ke dalam imej. |

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": "Put this white sneaker on a sunlit marble pedestal in a minimalist gallery, keep the shoe exactly as it is",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  ]
}
```

A fuller example:

```json
{
  "prompt": "Put this white sneaker on a sunlit marble pedestal in a minimalist gallery, keep the shoe exactly as it is",
  "images": [
    "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  ],
  "resolution": "1K"
}
```

## 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/nano-banana-pro/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Put this white sneaker on a sunlit marble pedestal in a minimalist gallery, keep the shoe exactly as it is",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
    ],
    "resolution": "1K"
  }'

# 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/nano-banana-pro/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "Put this white sneaker on a sunlit marble pedestal in a minimalist gallery, keep the shoe exactly as it is",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
    ],
    "resolution": "1K"
  }),
});
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": "Put this white sneaker on a sunlit marble pedestal in a minimalist gallery, keep the shoe exactly as it is",
    "images": [
        "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
    ],
    "resolution": "1K",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/nano-banana-pro/edit", 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": "nano-banana-pro/edit",
      "input": {
        "prompt": "Put this white sneaker on a sunlit marble pedestal in a minimalist gallery, keep the shoe exactly as it is",
        "images": [
          "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
        ],
        "resolution": "1K"
      },
      "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": "nano-banana-pro/edit",
  "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": 150,
    "usd": "0.15",
    "charged": 150,
    "refunded": 0
  },
  "input": {
    "prompt": "Put this white sneaker on a sunlit marble pedestal in a minimalist gallery, keep the shoe exactly as it is",
    "images": [
      "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
    ],
    "resolution": "1K"
  },
  "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
      }
    ],
    "description": "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 terhasil daripada pengeditan. |
| `description` | string | Perihalan yang mengiringi imej yang dijana. |

## Related models

- [Nano Banana Pro](https://doitong.com/developers/models/nano-banana-pro.md) (`nano-banana-pro`): from $0.15 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / 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
- [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
- [Gemini 2.5 Flash Image · Edit](https://doitong.com/developers/models/gemini-25-flash-image/edit.md) (`gemini-25-flash-image/edit`): $0.0398 / image
- [Gemini 3 Pro Image Preview · Edit](https://doitong.com/developers/models/gemini-3-pro-image-preview/edit.md) (`gemini-3-pro-image-preview/edit`): from $0.15 / image

## Links

- HTML page: https://doitong.com/developers/models/nano-banana-pro/edit
- 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=nano-banana-pro/edit
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/nano-banana-pro/edit