AI Fashion Image Generator with Nano Banana + n8n workflow

Name: AI Fashion Image Generator with Nano Banana + n8n workflow
Rating: 3.9 (8 reviews)

Build real projects with n8n automation, AI fashion workflows, and APIs to level up your automation skills.

Created byShikhar Verma

Last updated 9/2025

English

What you'll learn

Learn the fundamentals of n8n and understand its role in workflow automation.
Gain hands-on experience installing and configuring n8n on AWS EC2 with Docker and Docker Compose.
Explore and navigate the n8n dashboard to effectively work with different nodes and workflows.
Build AI-powered workflows by integrating n8n with Nano Banana and OpenAI nodes.
Build AI-powered workflows by integrating n8n with Nano Banana and OpenAI nodes.
Design, execute, and automate a complete AI Fashion Image Generator project from input to final image delivery.

Course content

5 sections • 34 lectures • 1h 24m total length

Introduction3:17

Launch Ubuntu EC2 for n8n3:17
Launch an AWS EC2 instance running Ubuntu 24.04 LTS (t2.micro) using the free tier, create a key pair, access via SSH with Mobaxterm, and prepare for installing n8n.
Installing Docker on Ubuntu3:18
Install and configure Docker and Docker Compose on Ubuntu, including setting up the apt repository, verifying installations, and enabling non-sudo access by adding the user to the Docker group.
Step-by-Step: Docker Compose and .env File5:54
n8n Installation via Docker Compose1:48
Launch the n8n server with docker compose up -d, pull the latest image, and verify it runs with docker ps and logs.
Connect to n8n via Browser2:02
Steps to Activate n8n License0:56
Copy the activation key from the email, paste it in the activation key field in settings, and click activate. Activate the license for the community edition and start creating automations.
n8n Dashboard Walkthrough2:52
Nodes in n8n Workflows2:11
Explore node types in n8n workflows, including trigger, processing, logic branches, action, and end, and learn they combine to automate tasks such as sending emails, updating databases, and notifying teams.

Nano Banana Project: Workflow Overview3:10
Design and implement an ai powered fashion image generator using nano banana and n8n workflow to transform uploaded outfits into high quality model photos via image analysis and prompt generation.
Trigger: Form Submission5:06
Upload an Image via an HTTP request2:13
Define HTTP Request Parameters1:47
Image Analysis using the OpenAI Node2:24
Generate API Credentials in OpenAI account2:26
Create an OpenAI account, add a $5 billing credit, generate API keys for text models and image generation, and name the secret key nano banana testing in n8n.
Set the Parameters for the Analyze Image Node2:27
AI Agent: Chat Model + Think Tool2:14
The ai agent analyzes the outfit image to extract color and fabric details, then uses the thing tool and prompt generator to combine user requests with analysis into a prompt.
Configure a prompt in the AI Agent3:43
Integrate Chat Model + Think Tool in AI Agent1:54
Queue Image using HTTP Request (Nano Banana API)2:16
Queue the image by sending the final prompt to the nano banana api via an http post request to felt ai, using an api key in the n8n workflow.
Create an API key on Fal.ai3:20
Run the workflow and verify image on Fal.ai1:59
Fetch Image (HTTP Request)2:44
Insert Wait Node2:30
If Node: Check if image is ready or processing2:09
Get Image via HTTP Request1:06
Send Image via Gmail Node2:58
Configure a Gmail node to send the image, creating OAuth client ID and client secret in Google Cloud Console and signing in to establish the connection.
Configure Gmail Node parameters1:46
Configure Gmail node parameters to send an image by specifying the recipient, subject 'your image is ready,' and an HTML body with an attachment.

Requirements

Basic understanding of cloud platforms (AWS) is helpful but not mandatory.
No prior n8n experience required – everything will be taught step by step.
Familiarity with Docker basics will be an advantage.
A computer with internet access and a willingness to learn workflow automation.

Description

Are you ready to combine automation and AI to create powerful real-world projects? 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

Final check: validate images, nodes, and results

Final Workflow Execution - 1
Final Workflow Execution - 2
Last Lecture

Who this course is for:

Beginners who want to get started with n8n workflow automation.
Developers, freelancers, and tech enthusiasts interested in low-code/no-code automation tools.
Students and professionals looking to integrate AI tools (like Nano Banana, OpenAI, and Falai) with automation workflows.
Cloud and DevOps learners eager to practice hands-on projects with AWS and Docker.
Anyone who wants to build real-world AI-powered projects, such as an AI Fashion Image Generator.

AI Fashion Image Generator with Nano Banana + n8n workflow

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 3min

n8n Basics: An Overview3 lectures • 7min

n8n Installation on AWS – Self-Hosted Guide8 lectures • 22min

AI Fashion Image Generator with Nano Banana19 lectures • 48min

Final check: validate images, nodes, and results3 lectures • 4min

Requirements

Description

Who this course is for: