How to Use Nano Banana 2 Lite: Gemini, Google AI Studio, API & ImagineArt (2026)

How to use Nano Banana 2 Lite spans six primary platforms: Gemini (Google's consumer chatbot), Google AI Studio (fastest no-code prototyping), Google Flow (workflow automation), Gemini API (for developers), Gemini Enterprise Agent Platform (for enterprises), and ImagineArt's AI image generator aggregator platform.

This guide covers step-by-step workflows for each access method, helping you choose the right platform for your workflow. Whether you are exploring concepts in Gemini, prototyping rapidly in Google AI Studio, automating workflows in Google Flow, or building production systems via API, this guide explains how to use Nano Banana 2 Lite on every platform.

How to Use Nano Banana 2 Lite on Gemini

Gemini is Google's consumer-facing chatbot, and it includes access to Nano Banana 2 Lite for image generation within conversations.

Step 1: Access Gemini

Visit gemini.google.com or open the Gemini mobile app. Sign in with your Google account. You now have access to Nano Banana 2 Lite through Gemini's image generation capabilities.

Step 2: Request Image Generation in a Conversation

In any Gemini conversation, ask for an image. Example: "Generate an image of a luxury watch on a marble surface."

Gemini will automatically route your request to Nano Banana 2 Lite and generate the image within the conversation context.

Step 3: Download or Use the Generated Image

Once generated, right-click the image to download or save it. The image remains visible in your conversation history.

When to Use Gemini

• Exploring ideas conversationally
• Generating images while discussing concepts
• Quick prototyping without leaving the chat
• Personal creative projects

Limitations

Gemini does not offer fine-grained control over model selection or advanced parameters. For production workflows, use Google AI Studio, the Gemini API, or ImagineArt instead.

How to Use Nano Banana 2 Lite on Google AI Studio

Google AI Studio is the fastest no-code path from prompt to production, optimized for rapid prototyping and exploration.

Step 1: Access Google AI Studio

Visit aistudio.google.com. Sign in with a Google account. You will see the main interface with a text input area for prompts.

Step 2: Select Nano Banana 2 Lite Model (if not the default)

Google AI Studio defaults to Gemini 3.1 Flash for text. For image generation, the platform automatically routes to the appropriate image model. Confirm Nano Banana 2 Lite is selected for image generation tasks.

Step 3: Enter Your Image Generation Prompt

Type your image generation request. Example: "Create a product image: luxury watch, white marble background, studio lighting, professional photography."

Step 4: Generate

Click "Send," or press Enter. The image generates within 4 to 8 seconds and appears in the conversation.

Step 5: Download and Iterate

Download the generated image. To refine the result, continue the conversation: "Now change the background to wood" or "Generate 3 variations of this product."

Google AI Studio maintains conversation history, making it easy to iterate and refine through multiple generations.

When to Use Google AI Studio

• Fastest path for rapid prototyping
• Iterative refinement through conversation
• Exploring multiple directions quickly
• No setup or configuration required
• Free tier available for exploration

Workflow Example: Product Mockup Generation

1. Prompt: "Generate a product image of a luxury watch on white marble"
2. Google AI Studio generates in 4 seconds
3. Prompt: "Create 3 color variations: gold, silver, black"
4. Google AI Studio generates all 3
5. Prompt: "Now show the same watch on a wooden background"
6. All images stay in the conversation for easy review

How to Use Nano Banana 2 Lite on Google Flow

Google Flow enables workflow automation for teams, integrating Nano Banana 2 Lite into automated business processes, batch generation pipelines, and conditional image generation workflows.

Step 1: Access Google Flow

Visit Google Cloud Console and enable Google Flow for your project. Create a new workflow and grant necessary permissions for image generation.

Step 2: Add Nano Banana 2 Lite Step to Your Workflow

In your Google Flow workflow builder, add a Gemini API step for image generation. Configure the model selector to use Nano Banana 2 Lite (gemini-3.1-flash-lite-image).

Step 3: Set Up Input Parameters

Define workflow inputs: image prompts from previous steps, user submissions, or data sources. Map these inputs to the image generation request.

Step 4: Configure Output and Next Steps

Set the generated image as workflow output. Route images to storage (Google Cloud Storage, Drive), email, Slack notifications, or downstream processing steps.

When to Use Google Flow

• Batch generation workflows triggered by events
• Automated image creation from user submissions
• Integration with CRM or business systems
• Scheduled image generation tasks
• Multi-step workflows combining image generation with other services

Workflow Example: Automated Product Catalog Generation

1. User submits product details via form
2. Google Flow receives submission
3. Nano Banana 2 Lite generates product image from description
4. Image saves to Google Cloud Storage
5. Notification sent to team

For more details on building Google Flow workflows, see our Google Flow automation guide.

How to Use Nano Banana 2 Lite via Gemini API

The Gemini API is for developers building image generation into applications or workflows.

Step 1: Create an API Key

Visit Google AI Studio (aistudio.google.com). Click "Get API Key" in the top right menu. Select "Create API Key in new project." Copy and save your API key securely. Never expose this key in public code or version control.

Step 2: Enable Billing (Optional for Free Tier, Required for Production)

On Google Cloud, set up billing for production use. Nano Banana 2 Lite operates on a token-based, pay-as-you-go model.

Step 3: Install the SDK

Python:

pip install google-generativeai

Node.js:

npm install @google/generative-ai

For other languages, refer to Google's SDK documentation.

Step 4: Make Your First Image Generation Call

Python Example:

import anthropic

client = anthropic.Anthropic(api_key="YOUR_API_KEY")

response = client.messages.create(
model="gemini-3.1-flash-lite-image",
max_tokens=1000,
messages=[
{
"role": "user",
"content": "Generate a product image of a luxury watch on white marble"
}
]
)

image_url = response.content[0].text
print(f"Generated: {image_url}")

Node.js Example:

const { GoogleGenerativeAI } = require("@google/generative-ai");

const client = new GoogleGenerativeAI({
apiKey: process.env.GOOGLE_API_KEY,
});

async function generateImage() {
const response = await client.messages.create({
model: "gemini-3.1-flash-lite-image",
messages: [
{
role: "user",
content: "Generate a product image of a luxury watch on white marble"
}
],
});

const imageUrl = response.content[0].text;
console.log(`Generated: ${imageUrl}`);
}

generateImage();

Step 5: Implement Batch Processing for Production Workflows

For high-volume generation (100+ images), loop through prompts with rate limiting.

prompts = [
"Product: watch on white background",
"Product: watch on wood background",
"Product: watch on marble background",
"Product: watch in lifestyle setting",
"Product: watch in outdoor setting"
]

for prompt in prompts:
response = client.messages.create(
model="gemini-3.1-flash-lite-image",
max_tokens=1000,
messages=[{"role": "user", "content": prompt}]
)
print(response.content[0].text)
time.sleep(1) # Rate limiting to avoid quota issues

When to Use Gemini API

• Building image generation into applications
• Automating high-volume generation workflows
• Integrating with custom systems
• Production applications requiring scale
• Custom error handling and monitoring

How to Use Nano Banana 2 Lite on ImagineArt

ImagineArt's AI image generator platform aggregates Nano Banana 2 Lite alongside Ideogram 4.0, ImagineArt 2.0, and other AI image models, providing a unified interface for multi-model comparison.

Step 1: Access ImagineArt

Navigate to imagine.art and sign in. Open the AI image generator tool.

Step 2: Select Nano Banana 2 Lite from the Model Dropdown

Click the model selector dropdown. Find Nano Banana 2 Lite in the list. Select it.

Step 3: Enter Your Prompt or Upload a Reference Image

Text-to-image: Type your description. Example: "luxury leather watch on marble surface, studio lighting"

Image-to-image: Upload a reference image, then provide an edit prompt.

Step 4: Configure Output Options

• Resolution: 1K (1024×1024) only for Lite. For 2K or 4K, use Nano Banana 2 or Nano Banana Pro.
• Aspect ratio: 1:1 square, 16:9 widescreen, 9:16 vertical
• Quantity: 1-4 for testing; scale to larger batches once the prompt is dialed in

Step 5: Generate and Download

Click Generate. Images appear within 4 to 8 seconds. Download directly from the interface.

When to Use ImagineArt

• Comparing Nano Banana 2 Lite with other generators
• Unified interface for multi-model workflows
• Batch generation with a credit-based system
• Visual comparison between Lite and Nano Banana 2 on the same prompts
• Teams preferring a single interface for all image generation

How to Use Nano Banana 2 Lite Effectively

How to Use Nano Banana 2 Lite Across Platforms

Workflow 1: Idea to Production

1. Explore in Gemini: Have a conversation about your product concept and generate initial images
2. Prototype in Google AI Studio: Refine directions and iterate rapidly
3. Implement in Gemini API: Build automated generation into your production system

Workflow 2: A/B Testing Campaign

1. Draft in Google AI Studio: Generate 10 variations rapidly
2. Compare on ImagineArt: Test Lite variations against Nano Banana 2 on same prompts
3. Deploy via Gemini API: Automate final winner generation at scale

Workflow 3: Automated Batch Generation

1. Prototype in Google AI Studio: Test product generation workflows
2. Implement in Google Flow: Build automated batch generation workflow
3. Monitor via API: Track usage, costs, and performance

Conclusion

How to use Nano Banana 2 Lite: explore conversationally in Gemini, prototype rapidly in Google AI Studio, automate via Gemini API, scale with Enterprise Agent Platform, or compare on ImagineArt.

Each platform serves a different stage in the workflow: exploration → prototyping → production → scale. Start with Google AI Studio for fastest learning, then graduate to the platform matching your production needs. For teams comparing models, use ImagineArt to test Nano Banana 2 Lite alongside Nano Banana 2 and Nano Banana Pro.

Frequently Asked Questions

Which platform should I use to start with Nano Banana 2 Lite?

Start with Google AI Studio for fastest prototyping (no setup, instant access). Once you understand your workflow, graduate to Gemini API or ImagineArt for production.

Can I use Nano Banana 2 Lite images commercially?

Yes. All generated images are yours to use commercially, provided you comply with Google's usage policies.

Which platform is cheapest?

Gemini and Google AI Studio offer a free tier for exploration. Gemini API and Enterprise Platform are pay-as-you-go. ImagineArt uses a credit system. Compare pricing for your expected volume.

How do I choose between Lite and Nano Banana 2?

Use Lite for drafts, exploration, and rapid iteration (4 seconds). Use Nano Banana 2 for final production when detail quality matters (10-15 seconds).

Can I switch between platforms mid-workflow?

Yes. Generate drafts in Google AI Studio, finalize on the Gemini API. Or draft on ImagineArt Lite, refine on ImagineArt Nano Banana 2.

Which platform is best for high-volume batch generation?

Gemini API or Enterprise Agent Platform for automation and scale. Both support batch processing with rate limiting.

Is Google AI Studio suitable for production?

Google AI Studio is designed for prototyping and exploration. For production systems, use Gemini API or the Enterprise Agent Platform.