# Nano Banana Lite API

> Viegls Nano Banana saimes teksta attēla modelis ar plašu malu attiecību izvēli

Izveido no 1 līdz 4 attēliem, izmantojot līdz 50000 rakstzīmēm garu teksta `prompt`. Atbalsta `aspect_ratio` vērtības no 21:9 līdz 1:8, kā arī auto, un png, jpeg vai webp izvadi. Neobligāts `system_prompt` vada stilu, bet `thinking_level` var iestatīt uz minimal vai high. `seed` parametrs nodrošina atkārtojamus izpildījumus.

- 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/lv/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 | Teksta norādes attēla ģenerēšanai. |
| `system_prompt` |  | string | no | `` | ≤ 50000 characters | Neobligātas visam pieprasījumam piemērojamas personības un izvades stila norādes, kas Gemini tiek nodotas kā sistēmas instrukcija vai ar OpenAI saderīgiem nodrošinātājiem kā sistēmas ziņojums. Ja vērtība ir tukša, šai instrukcijai nekas netiek nosūtīts. |
| `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` | Tieši izvēlieties ģenerētā attēla malu attiecību, tostarp galējās opcijas 4:1, 1:4, 8:1, 1:8, vai izvēlieties "auto", lai modelis to noteiktu pēc uzvednes. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Ģenerēšanai pieprasītais attēlu skaits. |
| `seed` |  | integer \| null | no |  |  | Sākumvērtība, kas inicializē nejaušo skaitļu ģenerēšanu. |
| `output_format` |  | enum (string) | no | `png` | `jpeg`, `png`, `webp` | Iegūtā attēla faila formāts. |
| `safety_tolerance` |  | enum (string) | no | `4` | `1`, `2`, `3`, `4`, `5`, `6` | Iestatiet satura moderēšanas toleranci no vismazāk ierobežojošā līmeņa 6 līdz stingrākajam līmenim 1, kas bloķē lielāko daļu satura. |
| `limit_generations` |  | boolean | no | `true` |  | Eksperimentāls ģenerēšanas ierobežojums, kas aktivizēts var ietekmēt kvalitāti. Ar `True` katra uzvednes kārta tiek ierobežota līdz 1 ģenerēšanai, ignorējot attēlu skaita norādes uzvednē un modeļa ģenerētos starpattēlus. |
| `thinking_level` |  | enum (string) \| null | no |  | `minimal`, `high` | Izvēlieties 'minimal' vai 'high', lai aktivizētu modeļa domāšanu attiecīgajā līmenī un iekļautu tās rezultātus ģenerēšanā; ja līmenis nav iestatīts, domāšana paliek atspējota. |

## 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} | Modeļa ģenerētie attēli. |
| `description` | string | Ģenerētajiem attēliem pievienotais apraksts. |

## 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