M3C1 DIFFUSION - IMAGE GENERATOR

Powered by the Nano Banana API + Next.js - UPDATED TO RUN NANO BANANA PRO (gemini-3-pro-image-preview)

This app allows architects and designers to generate consistent AI-based architectural images including alternate views, diagrams and model studies, from one or more reference images.

Built for creative workflows at M3C1

Features

• Custom AI pipeline using Nano Banana API + Gemini multimodal models

• Image-to-Image consistency for architectural references

• Multiple prompt presets (angles, diagrams, axonometric views, details, etc.)

• Seed control (deterministic outcomes are in test)

• Automatic ZIP export of all generated outputs

• Next.js frontend for quick experimentation and visual feedback

How It Works

• Upload one or more reference images of your project.

• Choose from a set of predefined prompts (35mm, 50mm, model, sketch, diagram, etc.).

• Optionally define a global or per-prompt random seed.

• Generate images via Nano Banana API.

• Download all results in a single ZIP - filenames include seed + prompt name.

Installation

Install Node.js

Before starting the project, make sure Node.js is installed on your computer.

Download it from the official website https://nodejs.org/

• Recommended version v22.21.0
• Keep the default options;
• Check “Add to PATH” so you can use Node from the terminal.

After installation, you can verify it by running:

node -v
npm -v

Clone the repository

• Download the folder directly, or install Git: https://git-scm.com/downloads
• Open Command Prompt (cmd), PowerShell or Git Bash, then clone the repository:

git clone https://github.com/marcellacarone/m3c1-nano.git

• Enter m3c1-nano folder and install dependencies:

cd m3c1-nano

npm install

• Install the new Gemini SDK:

npm install @google/genai

• Run the app:

npm run dev

• Then visit http://localhost:3000

Configuration

To configure your app, you must have a PAID GEMINI API KEY for nano banana, associated to a google cloud project and with billing setup. Probably you can get initial free credits to use it.

• Create an API key in Google AI Studio: https://aistudio.google.com

After, follow the steps:

• create a LOCAL file .env.local in the root folder
• this file should contain your API KEY:

GEMINI_API_KEY=INSERT-YOUR-KEY-HERE

Authors

Marcella Carone | @marcellacarone

@m3c1.com.br | São Paulo, Brazil