In this course, you’ll learn how to set up and use n8n, a leading workflow automation tool, and integrate it with Nano Banana, OpenAI, and Falai to build an AI Fashion Image Generator. We’ll start with the basics of n8n, guide you through installation on AWS using Docker, and then dive into creating automated workflows step by step. You’ll explore how to connect APIs, configure nodes, and design an end-to-end AI-powered system that generates and delivers fashion images automatically.
By the end of this course, you will have the skills to confidently use n8n for automation, integrate AI tools into workflows, and build innovative projects that showcase the power of combining automation with artificial intelligence.
n8n Basics: An Overview:
- Getting started with n8n
- Introduction to n8n
- Why Use n8n?
- Various Ways to Install n8n
n8n Installation on AWS – Self-Hosted Guide:
- Launch Ubuntu EC2 for n8n
- Installing Docker on Ubuntu
- Step-by-Step: Docker Compose and .env File
- n8n Installation via Docker Compose
- Connect to n8n via Browser
- Steps to Activate n8n License
- n8n Dashboard Walkthrough
- Nodes in n8n Workflows
AI Fashion Image Generator with Nano Banana + n8n workflow:
- Nano Banana Project: Workflow Overview
- Trigger: Form Submission
- Upload an image via an HTTP request
- Define HTTP request parameters
- Image Analysis using the OpenAI Node
- Generate API credentials in your OpenAI account
- Set the parameters for the Analyze Image node
- AI Agent: Chat Model + Think Tool
- Configure a prompt in the AI Agent
- Integrate Chat Model + Think Tool in AI Agent
- Queue Image using HTTP Request (Nano Banana API)
- Create an API key on Falai
- Run the workflow and verify image on Falai
- Fetch Image (HTTP Request)
- Insert Wait Node
- If Node: Check if image is ready or processing
- Get Image via HTTP Request
- Send Image via Gmail Node
- Configure Gmail Node parameters
