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#2 ComfyUI + n8n = Building an AI Image Generation Automation System for $0

Build a zero-cost pipeline by installing ComfyUI on Kaggle's free GPU, connecting via Pinggy tunneling, and linking it with n8n workflows to automatically iterate through Google Sheets prompts for bulk image generation, storage, and notifications. Through 10 chapters over 8 hours, you will practice everything from the ComfyUI node system to REST API conversion and n8n Loop/Webhook integration, reproducing the same results using provided JSON files. Even without programming experience, you will complete a practical automation factory that mass-produces SNS, advertisement, and thumbnail images unattended.

1 learners are taking this course

Level Basic

Course period Unlimited

Kaggle
Kaggle
Content Creation
Content Creation
n8n
n8n
ui
ui
images
images
Kaggle
Kaggle
Content Creation
Content Creation
n8n
n8n
ui
ui
images
images

What you will gain after the course

  • Installing ComfyUI, Tunneling, Configuring Node Workflows, and REST API Conversion in a Free Kaggle GPU Environment

  • Building a Prompt-Iterating Image Generation Pipeline with n8n Loop, Webhook, and Google Sheets Integration

  • T2I/I2I Workflow using LoRA, ControlNet, and Inpaint, with Google Drive Storage and Pushover Notification Automation

Recommended for
these people

Who is this course right for?

  • Marketers and content creators who need to mass-produce SNS, advertisement, and thumbnail images

  • Creators who want to operate an AI image generation pipeline without the burden of GPU costs

  • A beginner who wants to switch from Stable Diffusion WebUI to ComfyUI and learn n8n automation at the same time.

Need to know before starting?

  • Possession of a Google account and a Kaggle account, and basic experience using a web browser

  • Basic operational skills such as uploading and sharing files in Google Sheets and Drive

Hello
This is dakgangjung123

Career Verified

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Courses

Hello! I am a graduate of Sogang University's Computer Science and Engineering department, and I am currently preparing for graduate school.

I fell in love with programming in high school when I happened to start full-stack web development and automated trading using Python.

Since then, I have shared my skills and know-how through various projects and programming tutoring activities. Based on these experiences, I am striving to create lectures that make even those new to programming feel, "Wow, this can be so easy!"

I want to help you learn through practical examples and friendly explanations. Thank you.

Go to GitHub Repository (Click!)

Curriculum

All

59 lectures ∙ (5hr 55min)

Published: 
Last updated: 

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