# Nano Banana Pro Edit API

> Yüzleri ve ürünleri koruyarak, 4K'ya kadar fotoğrafları düz dildeki talimatlarla düzenler veya birleştirir.

Nano Banana Pro'nun düzenleme modu: bir veya daha fazla görüntü verin ve arka planı değiştirme, bir kişiyle ürünü tek sahnede birleştirme, stili değiştirme veya tabeladaki metni düzeltme gibi değişikliği açıklayın. Düzenlemeler boyunca kimlikleri ve ayrıntıları sabit tutar. Herhangi bir yaygın en-boy oranında 1K, 2K veya 4K çıktı, isteğe bağlı web daynaklandırması ve istek başına en fazla dört sonuç sunar.

- 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/tr/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 | Görsel düzenlemeye yönelik metin talimatları. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Üretim için istenen görsel sayısı. |
| `seed` |  | integer \| null | no |  |  | Rastgele sayı üretimini başlatan seed değeri. |
| `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` | Sonuç görselinin en-boy oranı. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Ortaya çıkan görselin dosya biçimi. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | İçerik denetimi toleransını en az kısıtlayıcı seviye olan 6 ile çoğu içeriği engelleyen en katı seviye olan 1 arasında ayarlar. |
| `image_urls` | `images` | array of image URL | yes |  |  | Düzenleme veya görselden görsele üretim için kaynak görselleri tanımlayan URL'ler. |
| `system_prompt` |  | string | no | `` | ≤ 50000 characters | Gemini'ye sistem talimatı, OpenAI uyumlu sağlayıcılara ise sistem mesajı olarak iletilen, istek genelinde isteğe bağlı persona ve çıktı stili yönlendirmesi. Değer boş olduğunda bu talimat için hiçbir şey gönderilmez. |
| `resolution` |  | enum (string) | no | `1K` | `1K`, `2K`, `4K` | Çıktı görselinin çözünürlüğü. |
| `limit_generations` |  | boolean | no | `true` |  | Deneysel üretim sınırı: `True` etkinleştirildiğinde istemdeki görsel sayısı talimatlarını geçersiz kılar ve her istem turunu 1 üretimle sınırlar. |
| `enable_web_search` |  | boolean | no | `false` |  | Görsel üretimi için web araması anahtarı; modelin çevrimiçi bulunan güncel bilgileri görsele katmasını sağlar. |

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} | Düzenleme sonucunda oluşan görseller. |
| `description` | string | Üretilen görsellere eşlik eden açıklama. |

## 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