# Nano Banana 2 API

> Modeli ya picha ya Gemini ya Google yenye kasi, kutoka rasimu za haraka za 0.5K hadi 4K, ikiwa na uwiano uliokithiri na utafutaji wa wavuti.

Ni ndugu wa Nano Banana Pro aliye mwepesi na wa gharama nafuu zaidi, lakini bado hushughulikia vizuri maandishi kwenye picha na mandhari yenye vitu vingi. Matokeo huanzia hakikisho la 0.5K hadi 4K, yakiwa na uwiano kutoka 1:8 hadi 8:1 kwa mabango na hadithi wima. Utafutaji wa hiari wa wavuti huweka picha katika muktadha wa ukweli wa sasa, na kiwango cha juu cha hiari cha kufikiri hupanga mipangilio changamano kabla ya kuchora. Hadi picha nne kwa ombi.

- Model id: `nano-banana-2`
- Made by: Google
- Category: Text to Image
- Output: image
- Price: from $0.06 / image (cheapest run $0.06 (60 API credits))
- Run: `POST https://api.doitong.com/v1/run/nano-banana-2`
- Quote: `POST https://api.doitong.com/v1/quote/nano-banana-2`
- Docs page: https://doitong.com/sw/developers/models/nano-banana-2

## Pricing

Price: **from $0.06 / 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 `enable_web_search` = true and `thinking_level` = high: by `resolution`, 0.5K: $0.077, 1K: $0.097, 2K: $0.137, 4K: $0.177 / image
- When `enable_web_search` = true: by `resolution`, 0.5K: $0.075, 1K: $0.095, 2K: $0.135, 4K: $0.175 / image
- When `thinking_level` = high: by `resolution`, 0.5K: $0.062, 1K: $0.082, 2K: $0.122, 4K: $0.162 / image

The full example input below costs $0.08 = 80 API credits (1 image × 80 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-2` 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 | Maelekezo ya maandishi yanayotumika kuzalisha picha. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Idadi ya picha iliyoombwa kwa uzalishaji. |
| `seed` |  | integer \| null | no |  |  | Thamani ya mbegu inayoanzisha uzalishaji wa nambari nasibu. |
| `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`, `4:1`, `1:4`, `8:1`, `1:8` | Chagua wazi uwiano wa picha ya picha iliyozalishwa, ikijumuisha chaguo kali 4:1, 1:4, 8:1, 1:8, au chagua "auto" ili modeli ichague kulingana na kidokezo. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Muundo wa faili wa picha inayotokana. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | Weka ustahimilivu wa udhibiti wa maudhui kati ya kiwango kisicho na vizuizi zaidi, 6, na kiwango kikali zaidi, 1, kinachozuia maudhui mengi. |
| `system_prompt` |  | string | no | `` | ≤ 50000 characters | Mwongozo wa hiari wa persona na mtindo wa tokeo kwa ombi lote, unaowasilishwa kwa Gemini kama maagizo ya mfumo au kwa watoa huduma wanaoendana na OpenAI kama ujumbe wa mfumo. Hakuna kinachotumwa kwa maagizo haya thamani ikiwa tupu. |
| `resolution` |  | enum (string) | no | `1K` | `0.5K`, `1K`, `2K`, `4K` | Mwonekano wa picha ya tokeo. |
| `limit_generations` |  | boolean | no | `true` |  | Kikomo cha majaribio cha uzalishaji ambacho kinaweza kuathiri ubora kinapowezeshwa. Kwa `True`, kila mzunguko wa uombaji huzuiwa kuwa uzalishaji 1, kikibatilisha maelekezo ya idadi ya picha kwenye kidokezo na kupuuza picha za kati zilizozalishwa na modeli. |
| `enable_web_search` |  | boolean | no | `false` |  | Kigeuzi cha utafutaji wa wavuti kwa uzalishaji wa picha, kinachoruhusu modeli kujumuisha maelezo ya kisasa yanayopatikana mtandaoni kwenye picha. |
| `thinking_level` |  | enum (string) \| null | no |  | `minimal`, `high` | Chagua 'minimal' au 'high' ili kuwezesha fikra za modeli katika kiwango hicho na kujumuisha fikra zake kwenye uzalishaji; kuacha kiwango bila kuwekwa huweka fikra zimezimwa. |

## Example input

Required parameters only:

```json
{
  "prompt": "A cozy bookshop window at night with a hand-painted sign reading \"Open Late\", warm light, rain on the glass"
}
```

A fuller example:

```json
{
  "prompt": "A cozy bookshop window at night with a hand-painted sign reading \"Open Late\", warm light, rain on the glass",
  "aspect_ratio": "4:5",
  "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-2?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A cozy bookshop window at night with a hand-painted sign reading \"Open Late\", warm light, rain on the glass",
    "aspect_ratio": "4:5",
    "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-2?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A cozy bookshop window at night with a hand-painted sign reading \"Open Late\", warm light, rain on the glass",
    "aspect_ratio": "4:5",
    "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": "A cozy bookshop window at night with a hand-painted sign reading \"Open Late\", warm light, rain on the glass",
    "aspect_ratio": "4:5",
    "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-2", 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-2",
      "input": {
        "prompt": "A cozy bookshop window at night with a hand-painted sign reading \"Open Late\", warm light, rain on the glass",
        "aspect_ratio": "4:5",
        "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-2",
  "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": 80,
    "usd": "0.08",
    "charged": 80,
    "refunded": 0
  },
  "input": {
    "prompt": "A cozy bookshop window at night with a hand-painted sign reading \"Open Late\", warm light, rain on the glass",
    "aspect_ratio": "4:5",
    "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} | Picha zilizozalishwa na modeli. |
| `description` | string | Maelezo yanayoandamana na picha zilizozalishwa. |

## Related models

- [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](https://doitong.com/developers/models/nano-banana-pro.md) (`nano-banana-pro`): from $0.15 / image
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image

## Links

- HTML page: https://doitong.com/developers/models/nano-banana-2
- 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-2
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/nano-banana-2