Ai Fashion Image Generator With Nano Banana + N8N Workflow

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

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.

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 OverviewGetting started with n8nIntroduction to n8nWhy Use n8n?Various Ways to Install n8nn8n Installation on AWS – Self-Hosted GuideLaunch Ubuntu EC2 for n8nInstalling Docker on UbuntuStep-by-Step: Docker Compose and .env Filen8n Installation via Docker ComposeConnect to n8n via BrowserSteps to Activate n8n Licensen8n Dashboard WalkthroughNodes in n8n WorkflowsAI Fashion Image Generator with Nano Banana + n8n workflowNano Banana Project: Workflow OverviewTrigger: Form SubmissionUpload an image via an HTTP requestDefine HTTP request parametersImage Analysis using the OpenAI NodeGenerate API credentials in your OpenAI accountSet the parameters for the Analyze Image nodeAI Agent: Chat Model + Think ToolConfigure a prompt in the AI AgentIntegrate Chat Model + Think Tool in AI AgentQueue Image using HTTP Request (Nano Banana API)Create an API key on FalaiRun the workflow and verify image on FalaiFetch Image (HTTP Request)Insert Wait NodeIf Node: Check if image is ready or processingGet Image via HTTP RequestSend Image via Gmail NodeConfigure Gmail Node parametersFinal check: validate images, nodes, and resultsFinal Workflow Execution - 1Final Workflow Execution - 2Last Lecture

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: n8n Basics: An Overview

Lecture 2 Introduction to n8n

Lecture 3 Why Use n8n?

Lecture 4 Various Ways to Install n8n

Section 3: n8n Installation on AWS – Self-Hosted Guide

Lecture 5 Launch Ubuntu EC2 for n8n

Lecture 6 Installing Docker on Ubuntu

Lecture 7 Step-by-Step: Docker Compose and .env File

Lecture 8 n8n Installation via Docker Compose

Lecture 9 Connect to n8n via Browser

Lecture 10 Steps to Activate n8n License

Lecture 11 n8n Dashboard Walkthrough

Lecture 12 Nodes in n8n Workflows

Section 4: AI Fashion Image Generator with Nano Banana

Lecture 13 Nano Banana Project: Workflow Overview

Lecture 14 Trigger: Form Submission

Lecture 15 Upload an Image via an HTTP request

Lecture 16 Define HTTP Request Parameters

Lecture 17 Image Analysis using the OpenAI Node

Lecture 18 Generate API Credentials in OpenAI account

Lecture 19 Set the Parameters for the Analyze Image Node

Lecture 20 AI Agent: Chat Model + Think Tool

Lecture 21 Configure a prompt in the AI Agent

Lecture 22 Integrate Chat Model + Think Tool in AI Agent

Lecture 23 Queue Image using HTTP Request (Nano Banana API)

Lecture 24 Create an API key on Fal.ai

Lecture 25 Run the workflow and verify image on Fal.ai

Lecture 26 Fetch Image (HTTP Request)

Lecture 27 Insert Wait Node

Lecture 28 If Node: Check if image is ready or processing

Lecture 29 Get Image via HTTP Request

Lecture 30 Send Image via Gmail Node

Lecture 31 Configure Gmail Node parameters

Section 5: Final check: validate images, nodes, and results

Lecture 32 Final Workflow Execution - 1

Lecture 33 Final Workflow Execution - 2

Lecture 34 Last lecture

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.