# Nano Banana Lite API

> Nano Banana فیملی کا ہلکا پھلکا ٹیکسٹ ٹو امیج ماڈل، وسیع پہلو کے تناسب کے انتخاب کے ساتھ

50000 حروف تک کے ٹیکسٹ `prompt` سے 1 سے 4 تصاویر بناتا ہے۔ `aspect_ratio` میں 21:9 سے 1:8 تک کی قدریں، علاوہ ازیں auto، اور png، jpeg یا webp آؤٹ پٹ معاونت یافتہ ہیں۔ اختیاری `system_prompt` انداز کی رہنمائی کرتا ہے، جبکہ `thinking_level` minimal یا high پر سیٹ کیا جا سکتا ہے۔ `seed` پیرامیٹر قابلِ تکرار رنز کی اجازت دیتا ہے۔

- Model id: `google/nano-banana-lite`
- Made by: Google
- Category: Text to Image
- Output: image
- Estimated price per run: $0.043 / image (cheapest run $0.043 (43 API credits))
- Run: `POST https://api.doitong.com/v1/run/google/nano-banana-lite`
- Quote: `POST https://api.doitong.com/v1/quote/google/nano-banana-lite`
- Docs page: https://doitong.com/ur/developers/models/google/nano-banana-lite

## Pricing

Price: **$0.043 / image**. Estimated from the typical cost of one run, per output (`num_images`). The quote is exactly what the run charges.

The full example input below costs $0.043 = 43 API credits (1 image × 43 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/google/nano-banana-lite` 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 | تصویر تخلیق کرنے کے لیے استعمال ہونے والی متنی ہدایات۔ |
| `system_prompt` |  | string | no | `` | ≤ 50000 characters | اختیاری request-wide persona اور output-style guidance، جو Gemini کو system instruction یا OpenAI-compatible providers کو system message کے طور پر بھیجی جاتی ہے۔ قدر خالی ہونے پر اس instruction کے لیے کچھ نہیں بھیجا جاتا۔ |
| `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` | تخلیق شدہ تصویر کا aspect ratio واضح طور پر منتخب کریں، بشمول extreme options 4:1، 1:4، 8:1، 1:8، یا ماڈل کے ذریعے پرامپٹ پر مبنی انتخاب کے لیے "auto" منتخب کریں۔ |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | تخلیق کے لیے مطلوبہ تصاویر کی تعداد۔ |
| `seed` |  | integer \| null | no |  |  | سیڈ کی قدر جو بے ترتیب اعداد کی تخلیق شروع کرتی ہے۔ |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | نتیجہ خیز تصویر کا فائل فارمیٹ۔ |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | content-moderation tolerance کو کم ترین پابندی والی سطح 6 اور سخت ترین سطح 1 کے درمیان مقرر کریں؛ 1 زیادہ تر مواد کو روکتی ہے۔ |
| `limit_generations` |  | boolean | no | `true` |  | تخلیق کی تجرباتی حد جسے فعال کرنے سے معیار متاثر ہو سکتا ہے۔ `True` کے ساتھ، پرامپٹ کے ہر دور میں تخلیق کی تعداد 1 تک محدود رہتی ہے، پرامپٹ میں تصاویر کی تعداد سے متعلق ہدایات اور ماڈل کی بنائی ہوئی درمیانی تصاویر نظر انداز کر دی جاتی ہیں۔ |
| `thinking_level` |  | enum (string) \| null | no |  | `minimal`, `high` | ماڈل کی thinking کو اس سطح پر فعال کرنے اور اس کے خیالات تخلیق میں شامل کرنے کے لیے 'minimal' یا 'high' منتخب کریں؛ سطح مقرر نہ کرنے پر thinking غیر فعال رہتی ہے۔ |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/google/nano-banana-lite?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"
  }'

# 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/google/nano-banana-lite?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"
  }),
});
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 red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/google/nano-banana-lite", 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": "google/nano-banana-lite",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "google/nano-banana-lite",
  "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": 43,
    "usd": "0.043",
    "charged": 43,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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} | ماڈل سے تیار کردہ تصاویر۔ |
| `description` | string | تخلیق شدہ تصاویر کے ساتھ شامل کی جانے والی تفصیل۔ |

## Related models

- [Nano Banana 2 Lite](https://doitong.com/developers/models/google/nano-banana-2-lite.md) (`google/nano-banana-2-lite`): $0.043 / image
- [Nano Banana Lite Edit](https://doitong.com/developers/models/google/nano-banana-lite/edit.md) (`google/nano-banana-lite/edit`): $0.043 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): 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

## Links

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