I Built an AI Virtual Try-on Agent With N8N for Dropshipping

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Summary ⤵️
This video demonstrates how to build an N8N automation that scrapes garment listings from AliExpress and generates AI images of models wearing those items for dropshipping businesses.
The workflow combines APIFY scrapers for data collection, Google Sheets for information storage, and FAL.AI's virtual try-on technology to create realistic product images without hiring real models.

CHAPTERS ⤵️
0:00 - Introduction
0:26 - Problem Statement
0:42 - Solution Overview
1:32 - Automation Flow
2:02 - Step-by-Step Explanation
2:05 - N8N Platform Setup
2:36 - Using APIFY Scrapers
5:18 - Configuring Google Sheets Integration
7:30 - Setting Up FAL.AI for Virtual Try-On
14:12 - Live Demo
16:23 - Business Use Case & Selling the Automation
17:42 - Conclusion & Call to Action

IMPORTANT RESOURCES LINKS ⤵️
1. N8N: https://n8n.io/
2. Apify Scraper Used: https://console.apify.com/actors/xYHAh66JcxDGnzs4G/
3. Fal.ai Model: https://fal.ai/models/fal-ai/kling/v1-5/kolors-virtual-try-on/playground

ABOUT MYSELF ⤵️
If this is your first view—hi, I’m Vibhu!
TL;DR: I'm a full stack software engineer deeply passionate about tech and AI. With that passion, I founded a tech agency called Stellardevs, where we build powerful, scalable tech solutions for businesses. From landing pages and eCommerce sites to AI automations using n8n, Make.com, Zapier, and fully custom solutions (code or no-code)—we’ve got you covered. Today, a lot of people talk about automation, but very few have real-world, practical success making money with it. This channel is me chiming in and showing you what real systems that generate real revenue actually look like.

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