# Google Gemini 3.1 Flash Lite Image — Text To Image

> Access the Nano Banana Lite API for ultra-fast Gemini 3.1 Flash-Lite image generation. Low-latency, cost-effective multimodal vision AI for high-scale apps.

## Overview

- **Endpoint**: `POST https://gptproto.com/api/v3/google/gemini-3.1-flash-lite-image/text-to-image`
- **Result URL**: `GET https://gptproto.com/api/v3/predictions/{result_id}/result` — the submit response also returns the authoritative URL in `data.urls.get`
- **Model ID**: `gemini-3.1-flash-lite-image`
- **Vendor**: Google
- **Scene**: `text-to-image`
- **Category**: text-to-image
- **Modalities**: input text → output image
- **Playground**: https://gptproto.com/model/google/gemini-3.1-flash-lite-image
- **API documentation**: https://docs.gptproto.com
- **Other scenes of this model**: `image-edit` — same auth, different endpoint path and input schema

## Authentication

Every request needs a GPTProto API key in the `Authorization` header. Create one at https://gptproto.com/dashboard/api-key, then export it:

```bash
export GPTPROTO_API_KEY="your-api-key"
```

Header: `Authorization: Bearer $GPTPROTO_API_KEY` (plus `Content-Type: application/json` on POST).

## Pricing

Platform price by tier (USD, already includes the GPTProto discount):

- **1k** — $0.0202 per run

Price range: $0.0202 – $0.0202 per generation.

Prices may change. The model page always shows the live price: https://gptproto.com/model/google/gemini-3.1-flash-lite-image

## API Information

The API is asynchronous: POST the endpoint to create a prediction, then poll its result URL until `status` is `completed` or `failed`.

### Input Schema

The endpoint accepts the following JSON body parameters:

- **`prompt`** (`string`, _required_):
  The positive prompt for the generation.

- **`aspect_ratio`** (`enum`, _optional_):
  The aspect ratio of the generated media.
  - Default: `16:9`
  - Options: 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9

- **`size`** (`string`, _optional_):
  The size of the output image.
  - Default: `1k`

- **`output_formart`** (`enum`, _optional_):
  The format of the output image.
  - Default: `png`
  - Options: png, jpeg

- **`enable_base64_output`** (`enum`, _optional_):
  If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
  - Default: `false`
  - Options: true, false

- **`enable_sync_mode`** (`enum`, _optional_):
  If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
  - Default: `false`
  - Options: true, false

**Required Parameters Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle"
}
```

**Full Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "aspect_ratio": "16:9",
  "size": "1k",
  "output_formart": "png",
  "enable_base64_output": false,
  "enable_sync_mode": false
}
```

### Output Schema

Both submit and poll return the same envelope:

- **`data.id`** (`string`): Prediction id. Use it as `result_id` when polling for the result.
- **`data.status`** (`string`): One of `created`, `running`, `completed`, `failed`. See Status Values below.
- **`data.outputs`** (`array of string`): Generated files. Empty until `status` is `completed`; then it holds the output URLs (or base64 strings when the model exposes a base64 option).
- **`data.urls.get`** (`string`): Authoritative result URL for this prediction. Prefer it over building the poll URL yourself.
- **`data.error`** (`string | null`): Failure reason when `status` is `failed`, otherwise `null`.
- **`data.executionTime`** (`integer`): Total processing time in milliseconds.
- **`data.timings.inference`** (`integer`): Model inference time in milliseconds.
- **`data.hasNsfwContents`** (`array of boolean`): Per-output moderation flags.
- **`message`** (`string`): `success` on a normal response, otherwise the error message.
- **`code`** (`integer`): Business status code. `200` means the request was accepted.

**Example Response — submit (task accepted)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "gemini-3.1-flash-lite-image",
    "outputs": [],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "hasNsfwContents": [],
    "status": "created",
    "createdAt": "2026-01-01T12:00:00Z",
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  },
  "message": "success",
  "code": 200
}
```

**Example Response — poll (completed)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "gemini-3.1-flash-lite-image",
    "outputs": [
      "https://oss-us.gptproto.com/example/output.png"
    ],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "status": "completed",
    "error": null,
    "executionTime": 12345,
    "timings": {
      "inference": 12000
    },
    "has_nsfw_contents": [],
    "created_at": "2026-01-01T12:00:00Z"
  },
  "message": "success",
  "code": 200
}
```

### Status Values

- `created` — Task accepted. Use `data.id` as `result_id` for polling.
- `running` — Generation is in progress. Keep polling.
- `completed` — Finished successfully. Generated files are in `data.outputs`.
- `failed` — Generation failed. Read `data.error` for the reason.

## Usage Examples

### 1. Submit a request

```bash
curl --request POST "https://gptproto.com/api/v3/google/gemini-3.1-flash-lite-image/text-to-image" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
    "aspect_ratio": "16:9",
    "size": "1k",
    "output_formart": "png",
    "enable_base64_output": false,
    "enable_sync_mode": false
  }'
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/google/gemini-3.1-flash-lite-image/text-to-image"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}
payload = {
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "aspect_ratio": "16:9",
  "size": "1k",
  "output_formart": "png",
  "enable_base64_output": False,
  "enable_sync_mode": False
}

response = requests.request("POST", url, headers=headers, json=payload)
print(response.json())
```

```typescript
const response = await fetch("https://gptproto.com/api/v3/google/gemini-3.1-flash-lite-image/text-to-image", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    prompt: "A tiny origami fox sailing a teacup across a moonlit puddle",
    aspect_ratio: "16:9",
    size: "1k",
    output_formart: "png",
    enable_base64_output: false,
    enable_sync_mode: false,
  }),
});

const data = await response.json();
console.log(data);
```

### 2. Poll until the task finishes

Replace `YOUR_RESULT_ID` with `data.id` from the submit response (or call `data.urls.get` directly), and keep polling every 1–3 seconds while `status` is `created` or `running`.

```bash
result_id="YOUR_RESULT_ID"

curl --request GET "https://gptproto.com/api/v3/predictions/$result_id/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY"
```

```python
import os
import requests

result_id = "YOUR_RESULT_ID"
url = f"https://gptproto.com/api/v3/predictions/{result_id}/result"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}"
}
response = requests.request("GET", url, headers=headers)
print(response.json())
```

```typescript
const result_id = "YOUR_RESULT_ID";
const response = await fetch(`https://gptproto.com/api/v3/predictions/${result_id}/result`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
  },
});

const data = await response.json();
console.log(data);
```

## Example Prompts

- A young foreign man standing on a city rooftop at sunrise, holding a shepherd’s staff, surrounded by small fluffy clouds like sheep, dreamy surreal fantasy, soft pastel sky.
- Wide-angle landscape photograph of a colossal Dyson Sphere mega-structure under construction around a dying blue dwarf star. Millions of geometric solar mirror panels and orbital habitats connected by glowing energy tethers. A massive industrial mining cruiser ship in the foregro…
- Anime still frame, "sakuga" animation style, intense dynamic action shot. A cyber-samurai girl with glowing energy katana clashes mid-air against a massive, multi-limbed biomechanical Oni (demon) atop a crumbling Shibuya 109 building. Explosion debris, broken glass, electrical di…

## HTTP Status Codes

- `400` — malformed body, a parameter or value this model does not accept, or input blocked by the provider's content moderation
- `401` — missing or invalid API key
- `403` — insufficient credits
- `413` — request body too large
- `429` — rate limited; retry with backoff
- `500` — An internal server error occurred
- `502` — An internal server error occurred
- `504` — Gateway timeout — upstream service did not respond in time; retry later

## Additional Resources

- [Model playground](https://gptproto.com/model/google/gemini-3.1-flash-lite-image)
- [API documentation](https://docs.gptproto.com)
- [All models](https://gptproto.com/model)
- [API keys](https://gptproto.com/dashboard/api-key)
- [Platform overview for LLMs](https://gptproto.com/llm-full.txt)
- Any other model: `https://gptproto.com/model/{vendor}/{model}/{scene}/llms.txt`