# Nano Banana 2.1

> Fast Google image generation and editing with multi-image references.

## Overview

- **Model ID**: `gemini-nano-banana-2.1`
- **Workflow**: `gemini/v2/images`
- **Provider**: Google
- **Category**: Text → Image (image)
- **Output**: One or more image URLs.
- **Tags**: fast, multi-image input, 4k
- **Unified endpoint**: `POST https://api.picsart.com/workflows/v1/models/execute` (model id in the body)
- **Compatibility endpoint**: `POST https://api.picsart.com/workflows/gemini/v2/images/execute` (vendor's own parameters)
- **Execution**: sync (`/execute`) returns the result in one call; async is also available
- **Model page**: https://picsart.com/api-platform/models/gemini-nano-banana-2.1

## Pricing

Rates are in USD. Every row below is an exact rate for the settings it names — the columns are the settings that change the price for this model. Every response reports what was actually charged in `response.usage.credits`.

| Tier | Rate |
| --- | --- |
| 1K | $0.034 / generation |
| 2K | $0.05 / generation |
| 4K | $0.113 / generation |

Published rates. Volume pricing, invoicing and annual agreements: https://picsart.com/api-platform/contact-sales

## Authentication

The SDK and the REST API authenticate with a Picsart API key sent as a bearer token. Create a key in the console at https://picsart.com/api-platform/dashboard/api-keys, keep it in a server-side environment variable, and never ship it in browser code or commit it.

```bash
export PICSART_API_KEY="YOUR_KEY"
```

```http
Authorization: Bearer $PICSART_API_KEY
```

The CLI and the MCP server do not use an API key: `gen-ai login` signs in through the browser once per machine and stores a token locally.

## Interfaces

- **SDK** — `@picsart/ai-sdk` (TypeScript, Node 20+, ESM). Type-safe `ai.generate()` / `ai.generateText()` with per-model parameter types; polls long jobs for you.
- **REST** — the API gateway at `https://api.picsart.com`. Sync `/execute`, or async `/submit` + `/{taskId}/result`.
- **CLI** — `@picsart/gen-ai` (`gen-ai`). Generate from a terminal, quote cost before spending, emit JSON for pipelines.
- **MCP** — the same models inside Claude Code, Cursor, Windsurf and other MCP hosts. Setup: https://picsart.com/gen-ai-mcp/

```bash
npm install @picsart/ai-sdk      # SDK
npm install -g @picsart/gen-ai   # CLI (also drives the MCP server)
```

## Unified API (recommended)

One parameter set, used by the SDK and by REST alike: the names below are what `ai.generate('gemini-nano-banana-2.1', …)` takes, and what goes inside the inner `params` of a REST call. Over REST the model id travels in the body, not the path — one workflow, `v1/models`, fronts the whole catalogue.

### Execution modes

- **Sync** — `POST /workflows/v1/models/execute` returns the result in one call. Only for jobs that finish within ~20 seconds; otherwise it times out.
- **Async** — `POST /workflows/v1/models/submit` returns a task id; poll `GET /workflows/v1/models/{taskId}/result` until `response.status` is `COMPLETED` or `FAILED`. Task statuses: `ACCEPTED` · `IN_PROGRESS` · `COMPLETED` · `FAILED`.
- **SDK** — `ai.generate()` always awaits the finished result; polling is hidden.

### Input parameters

- **`prompt`** (`string`, _required_): Prompt
- **`aspectRatio`** (`string`, _optional_)
  - Default: `"1:1"`
  - Options: `1:1`, `16:9`, `9:16`, `3:4`, `4:3`, `2:3`, `21:9`, `auto`
- **`resolution`** (`string`, _optional_)
  - Default: `"1K"`
  - Options: `1K`, `2K`, `4K`
- **`count`** (`number`, _optional_)
  - Default: `1`
  - Options: `1`, `2`, `4`, `6`, `8`, `10`
- **`seed`** (`number`, _optional_): Seed
  - Range: 0–2147483647 (step 1)
- **`thinkingLevel`** (`string`, _optional_): Thinking
  - Default: `"minimal"`
  - Options: `minimal`, `medium`, `high`
- **`imageUrls`** (`list<string>`, _optional_): Source Images
  - Accepts: image URLs (max 14)

### Input JSON Schema

The inner `params` object. Over REST it is wrapped as `{ "params": { "model": "<id>", "params": <this> } }`; the SDK takes it directly.

```json
{
  "type": "object",
  "required": [
    "prompt"
  ],
  "properties": {
    "prompt": {
      "type": "string",
      "description": "Prompt"
    },
    "aspectRatio": {
      "type": "string",
      "enum": [
        "1:1",
        "16:9",
        "9:16",
        "3:4",
        "4:3",
        "2:3",
        "21:9",
        "auto"
      ],
      "default": "1:1"
    },
    "resolution": {
      "type": "string",
      "enum": [
        "1K",
        "2K",
        "4K"
      ],
      "default": "1K"
    },
    "count": {
      "type": "number",
      "enum": [
        1,
        2,
        4,
        6,
        8,
        10
      ],
      "default": 1
    },
    "seed": {
      "type": "number",
      "minimum": 0,
      "maximum": 2147483647,
      "multipleOf": 1,
      "description": "Seed"
    },
    "thinkingLevel": {
      "type": "string",
      "enum": [
        "minimal",
        "medium",
        "high"
      ],
      "default": "minimal",
      "description": "Thinking"
    },
    "imageUrls": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uri",
        "description": "image URL"
      },
      "maxItems": 14,
      "description": "Source Images"
    }
  },
  "additionalProperties": false
}
```

### Required parameters example

The required parameters plus the defaults that shape the output, as a REST body:

```json
{
  "params": {
    "model": "gemini-nano-banana-2.1",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed",
      "aspectRatio": "1:1",
      "resolution": "1K"
    }
  }
}
```

### Response

The body is the gateway's status envelope: the output is at `response.result`, next to the task id, its status and the credits charged. Asset models return `url` plus an `items` array of results.

```json
{
  "status": "success",
  "response": {
    "id": "task_abc123",
    "status": "COMPLETED",
    "result": {
      "url": "https://cdn.picsart.com/…/result",
      "items": [
        {
          "url": "https://cdn.picsart.com/…/result"
        }
      ],
      "model": "gemini-nano-banana-2.1"
    }
  }
}
```

What `ai.generate()` / `ai.generateText()` resolve to (the envelope already unwrapped):

```json
{
  "items": [
    {
      "url": "https://cdn.picsart.com/…/result"
    }
  ],
  "model": "gemini-nano-banana-2.1"
}
```

### Usage examples

#### TypeScript (SDK)

```typescript
import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

const result = await ai.generate('gemini-nano-banana-2.1', {
  prompt: "A serene mountain lake at golden hour, ultra detailed",
  aspectRatio: "1:1",
  resolution: "1K"
});

console.log(result.url); // image URL
```

#### cURL (sync)

```bash
curl -X POST 'https://api.picsart.com/workflows/v1/models/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model": "gemini-nano-banana-2.1",
    "params": {
      "prompt": "A serene mountain lake at golden hour, ultra detailed",
      "aspectRatio": "1:1",
      "resolution": "1K"
    }
  }
}'
```

#### CLI

```bash
gen-ai login  # once per machine
gen-ai models info gemini-nano-banana-2.1  # this model's parameters
gen-ai pricing gemini-nano-banana-2.1  # quote before spending credits
gen-ai generate -m gemini-nano-banana-2.1 \
  -p "A serene mountain lake at golden hour" \
  --ar 1:1
```

## Compatibility API (vendor parameters)

Alongside the unified API, the `gemini/v2/images` workflow takes Google's own parameters exactly as the vendor defines them — nothing renamed or reshaped. It is the shortest path onto Picsart for request bodies already written against the vendor; the trade is that a request is written for one vendor, and the result comes back in the vendor's own shape. Same authentication.

- **Endpoint**: `POST https://api.picsart.com/workflows/gemini/v2/images/execute` (sync) · `POST …/submit` + `GET …/{taskId}/result` (async)
- **SDK**: `ai.apis.run('gemini/v2/images', params, { mode })` — params forwarded verbatim

### Vendor parameters

| Parameter | Type | Required | Default | Details |
| --- | --- | --- | --- | --- |
| `prompt` | `string` | yes | — | Text prompt for image generation |
| `imageUrls` | `string[]` | no | — | Reference image URLs for editing or style reference |
| `aspectRatio` | `string` | no | — | Output aspect ratio. Use "auto" to let the model choose — no aspect ratio is sent to the vendor in that case. · Options: `auto`, `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, `21:9`, `1:4`, `4:1`, `1:8`, `8:1` |
| `imageSize` | `string` | no | — | Output image resolution/quality. Support is model-dependent: gemini-2.5-flash-image and gemini-3.1-flash-lite-image support 1K only; gemini-3-pro-image supports 1K, 2K, 4K; gemini-3.1-flash-image supports 0.5K, 1K, 2K, 4K. Returns 400 unsupported_image_size for any other value. · Options: `0.5K`, `1K`, `2K`, `4K` |
| `model` | `string` | yes | — | Gemini image model · Options: `gemini-2.5-flash-image`, `gemini-3-pro-image`, `gemini-3-pro-image-preview`, `gemini-3.1-flash-image`, `gemini-3.1-flash-lite-image`, `gemini-3.1-flash-image-preview`, `gemini-nano-banana-2.1` |
| `count` | `number` | no | `1` | Number of images to generate (1-5) |
| `seed` | `number` | no | — | Seed for best-effort reproducible output. With count > 1 each image gets its own seed (seed, seed + 1, …) so a batch stays reproducible without returning duplicates. Random when omitted. · 0–2147483647 · e.g. `42` |
| `options` | `object` | no | — | Options controlling safety checks and drive integration |
| └ `safety_checks` | `object` | no | — | Safety check settings |
| └   `enabled` | `boolean` | no | — | Whether to run content moderation. Defaults to true. |
| └ `drive` | `object` | no | — | Save result to Picsart Drive |
| └   `name` | `string` | yes | — | File name in Picsart Drive |
| └   `attributes` | `object` | no | — | Custom attributes to attach to the file |
| └   `folder` | `object` | no | — | Target folder in Picsart Drive |
| └ `inputs_transformation` | `object` | no | — | Input transformation settings |
| └   `downscale_oversized_images` | `boolean` | no | — | Whether to downscale oversized input images. Defaults to false. |
| `thinkingConfig` | `object` | no | — | Configuration for the model's thinking/reasoning capabilities. |
| └ `thinkingLevel` | `string` | no | — | Controls the depth of the model's internal reasoning process. · Options: `MINIMAL`, `LOW`, `MEDIUM`, `HIGH` |
| └ `thinkingBudget` | `number` | no | — | Number of thinking tokens the model should use. Range: 0-24576. Set to 0 to disable thinking. · 0–24576 · e.g. `1024` |

### Example request body

```json
{
  "params": {
    "prompt": "A serene mountain lake at golden hour, ultra detailed",
    "model": "gemini-2.5-flash-image"
  }
}
```

### Usage examples

#### TypeScript (`ai.apis.run`)

```typescript
import { createClient, ApiRunMode } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

// Calls the 'gemini/v2/images' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('gemini/v2/images', {
  prompt: "A serene mountain lake at golden hour, ultra detailed",
  model: "gemini-2.5-flash-image"
}, {
  mode: ApiRunMode.SYNC,
});

console.log(result); // workflow-specific output
console.log(usage?.credits); // amount charged, in $
```

#### cURL (sync)

```bash
curl -X POST 'https://api.picsart.com/workflows/gemini/v2/images/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "prompt": "A serene mountain lake at golden hour, ultra detailed",
    "model": "gemini-2.5-flash-image"
  }
}'
```

### Response

Over HTTP the vendor-shaped result arrives inside the gateway envelope at `response.result`:

```json
{
  "status": "success",
  "response": {
    "id": "wf_abc123",
    "status": "COMPLETED",
    "result": {
      "imageUrls": [
        {
          "url": "https://cdn.picsart.com/…/result.jpg",
          "mimeType": "image/jpeg",
          "driveFile": {}
        }
      ],
      "description": "…"
    }
  }
}
```

`ai.apis.run()` unwraps that envelope and resolves to `{ result, usage }`:

```json
{
  "result": {
    "imageUrls": [
      {
        "url": "https://cdn.picsart.com/…/result.jpg",
        "mimeType": "image/jpeg",
        "driveFile": {}
      }
    ],
    "description": "…"
  }
}
```

## Additional resources

- Model page: https://picsart.com/api-platform/models/gemini-nano-banana-2.1
- Try it: https://picsart.com/api-platform/models/gemini-nano-banana-2.1/playground
- SDK: https://picsart.com/api-platform/models/gemini-nano-banana-2.1/sdk
- REST API (unified): https://picsart.com/api-platform/models/gemini-nano-banana-2.1/api
- Compatibility API (vendor parameters): https://picsart.com/api-platform/models/gemini-nano-banana-2.1/advanced
- Pricing: https://picsart.com/api-platform/models/gemini-nano-banana-2.1/pricing
- This document: https://picsart.com/api-platform/models/gemini-nano-banana-2.1/llms.txt
- All models: https://picsart.com/api-platform/models
- Docs — quickstart https://picsart.com/api-platform/docs/quickstart, authentication https://picsart.com/api-platform/docs/authentication, SDK https://picsart.com/api-platform/docs/sdk, REST https://picsart.com/api-platform/docs/api-reference, CLI https://picsart.com/api-platform/docs/cli, MCP https://picsart.com/api-platform/docs/mcp
- CLI reference: https://picsart.github.io/picsart-mcp-cli-docs/guide/introduction