Build a Team of AI Agents with Nano Banana (Step-by-Step)

Learn how to build powerful AI agent teams with Google’s Nano Banana. Step-by-step tutorial + free API guide. Start building today!

TL;DR

You can build a team of AI agents powered by Google’s Nano Banana (Gemini 2.5 Flash Image Preview) to generate, edit, and iterate images consistently. This guide walks you step-by-step—setting up your dev environment, using the free API, and creating a multi-agent system with a simple UI.

Introduction: Why Nano Banana Changes the Game

Google’s Nano Banana model (Gemini 2.5 Flash Image Preview) is the most consistent AI image editor yet—finally capable of making precise changes without breaking the scene. But instead of just creating single images, you can take it further: build a team of AI agents that collaborate, create image variations, and even edit uploads—all inside a clean web UI.

Let’s break it down step by step.

What is Nano Banana?

Nano Banana is Google’s internal codename for Gemini 2.5 Flash Image Preview, a state-of-the-art AI model for consistent image generation and editing. It allows:

Precision edits (make a cloud bigger without changing the rest of the image)
Batch variations for design brainstorming
Multi-modal input (text + images for edits)

You can access it via OpenRouter or Google AI Studio, often for free (with rate limits).

Why Build Multi-Agent Systems with Nano Banana?

Instead of running one image prompt at a time, you can create multiple AI agents that work in parallel:

Design pipelines: Generate multiple product mockups at once
Creative branching: Explore 4–6 design variations simultaneously
Automated edits: Pass results from one agent to the next for iterative improvement

This approach speeds up ideation, keeps results consistent, and allows you to explore more creative possibilities faster.

Step-by-Step Guide to Building Your AI Agent Team

1. Set Up Your Development Environment

Install Cursor or VS Code
Create a Python virtual environment
Install Flask (for a lightweight UI):


python3 -m venv nanoenv
source nanoenv/bin/activate
pip install flask

2. Get Access to Nano Banana

Go to OpenRouter
Create an account → Generate your API key
Store it securely in a .env file:


OPENROUTER_API_KEY=your_api_key_here

(Security tip: treat API keys like passwords.)

3. Build Your First Agent

Your first agent just generates an image:


import requests, os

api_key = os.getenv("OPENROUTER_API_KEY")
prompt = "A beautiful sunset over the mountains"

response = requests.post(
  "https://openrouter.ai/api/v1/completions",
  headers={"Authorization": f"Bearer {api_key}"},
  json={"model": "google/gemini-2.5-flash-image-preview", "prompt": prompt}
)

# Save as PNG
with open("output.png", "wb") as f:
    f.write(response.content)

4. Scale to Multiple Agents

Instead of one call, create 4 parallel calls for variations.

Use threads or async requests to speed things up.

5. Add a Simple UI

Use Flask to show results in a browser:

Display generated images
Add upload feature for image editing
Build a tree-style variation explorer for branching ideas

Real-World Use Cases

Use Case	Benefit
E-commerce	Auto-generate product mockups + variations
Marketing Teams	Brainstorm campaign visuals in parallel
Designers	Rapid prototyping with consistent scene editing
Content Creators	Generate YouTube thumbnails with multiple styles

Common Pitfalls & How to Avoid Them

Forgetting examples: Always provide examples in your prompt to avoid poor results
Losing context: Use XML or JSON tags for better context engineering
Bloated code: Keep code minimal (“fewer lines of code = better”)
Not testing incrementally: Debug step by step before adding complexity

FAQ (People-Also-Ask Optimization)

Q: Is Nano Banana free to use?
Yes. Google AI Studio provides a free tier with rate limits. Paid tiers offer better uptime.

Q: Can I use Nano Banana without coding?
Yes, but coding unlocks multi-agent systems and automation.

Q: What programming language should I use?
Python is recommended because most API examples and documentation use it.

Q: What makes Nano Banana different from Midjourney or DALL·E?
Its editing consistency is unmatched, making it ideal for iterative workflows.

Just like Nano Banana helps you build a smarter team of AI agents, you can take your content creation process to the next level with powerful AI video creation software. Imagine turning the images and ideas you just generated into engaging videos—without spending hours editing or hiring a full team. Vidatia lets you do exactly that.

Its intuitive tools make it easy to automate content creation, scale your creative workflows, and publish professional-quality videos in any niche or style. Whether you’re showcasing your AI projects, building tutorials, or creating marketing campaigns, Vidatia helps you get results faster and with less effort.

Ready to see it in action? Try Vidatia here and start transforming your ideas into scroll-stopping videos today.

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