Introduction to AI Designer: From Image and Video Production to Automation, ComfyUI + n8n
This is a practical course where you can directly create AI images and videos with ComfyUI and automate repetitive tasks through n8n integration. You can learn everything from utilizing local and cloud GPUs to the latest models, editing, LoRA, and video generation all at once.
I have taken several of Dr. Nam's lectures, and they are always the best. He explains even the smallest details thoroughly for beginners. I don't know when it will be, but I look forward to your next new lecture.~
5.0
박세현
30% enrolled
It’s nice that you explain everything in detail, one step at a time.
5.0
임채영
30% enrolled
It is very helpful because I can understand ComfyUI systematically.
What you will gain after the course
The ability to design ComfyUI workflows that directly control desired results.
Ability to select and utilize the latest AI image generation models
Practical skills for everything from image generation to precision editing
Ability to efficiently utilize low-spec and cloud GPUs
The ability to apply and directly create LoRA
AI video production capability using images and audio
Ability to build AI content pipelines that automate repetitive tasks using ComfyUI and n8n.
COMFYUI · N8N · AI AGENT · AUTOMATION
Beginners Welcome · Hands-on · AI Designer Intro
AI Automation with ComfyUI + n8n
No coding or design background required. Learn AI image and video creation by following along.
For high-quality viewing, please change the YouTube player's Settings → Quality → 2160p.
This course starts from the very moment you install the program. It doesn't matter if you are a developer, a planner, or someone who has never learned design before. Nowadays, regardless of your profession, we live in an era where those who can directly create images and videos with AI have an advantage, and this course is designed to help you take that first step.
GPU
You can practice even without a local GPU.
Don't worry if you don't have a high-spec graphics card.
We will guide you through everything from selecting to using cloud GPU environments like RunPod and Vast.ai.
Instead of purchasing a new expensive computer or subscribing to a separate high-cost monthly service,
you can rent a GPU computer with the desired specifications on an hourly basis only when practicing.
Additionally, the local practice for this course was conducted directly in an NVIDIA GeForce RTX 3070, VRAM 8GB environment.
The explanations are based on configurations and settings that can be followed even without an ultra-expensive graphics card.
Beyond just learning how to draw a single image, we will select and fix only the parts you want, improve the quality, train your own style, and even create videos. And finally, you will learn how to make this entire process run automatically even without you.
!
GPU, VRAM, Quantization... It's okay even if you encounter unfamiliar terms.
Whenever unfamiliar terms appear throughout the lecture, they are explained right then and there with illustrations.
Even if you don't memorize them in advance, you will naturally get the hang of it as you follow along in order.
It includes the actual errors encountered in practice and the process of resolving them.
🎁 Exclusive discount coupons for students provided
Students of this course will receive discount coupons for Dr. Nam's existing courses. Please check the News board of the course for information on eligible courses and coupon issuance.
🌱 This is how you'll build your skills
If you follow these 8 steps in order, even someone who has never performed an installation before will reach this point.
💻
Install first and find the method that fits your computer
It's okay even if you don't have a graphics card or have low specifications. Start by following the installation method suited for your computer and learning how to rent a cloud computer.
Installing ComfyUIRunPodVast.aiCloud GPU
🎨
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Create your first image and understand the principles of how AI generates images
By entering the same prompt into various AI models and comparing the results yourself, you will learn firsthand, "This is when you use this model."
Z-Image TurboQwen ImageFlux.2GGUF Quantization
🔍
Bringing blurry images back to life with clarity
Learn how to upscale low-resolution images to high quality while preserving the original feel of the subject.
UpscalingSeedVR2
🧬
Training AI on my style and characters
Experience everything from using publicly available styles to directly training your own AI model with your own photos and drawings.
LoRACivitaiOstris AI Toolkit
✂️
Precisely editing only the desired parts of a photo
This covers practical editing techniques, such as removing backgrounds, changing clothing colors, and naturally modifying specific selected areas.
InpaintingOutpaintingBackground RemovalControlNet
🗣️
Describing with words and even generating icons
Reduce prompt writing time with AI that describes images and create logos and icons that don't pixelate even when enlarged.
Vision Language ModelGemmaSVG Conversion
🎬
Bringing still photos to life
We will transform still images into naturally moving videos and even create videos where the mouth moves in sync with the voice.
LTX 2.3Image to VideoLip Sync
🤖
Now, making it run automatically even without me
Connect all the processes learned so far into a single system that runs automatically without a single click. Once you reach this point, you are an AI designer.
n8nComfyUI APIAutomation Pipeline
✨
Class notes and practice source templates are provided.
!
Class Notes
Terms related to AI image generation can be difficult to understand for those encountering them for the first time, and since download links for various image generation models and commands can also be challenging for beginners, we highly recommend that you refer to the class notes while taking the course.
✨ Here's what makes this course different
✓It doesn't end with just listening to explanations. You will follow along and build it yourself in every session while watching the screen.
✓It's okay if you don't have a graphics card. We will show you exactly how to rent and use the cloud.
✓This is not a course where you just memorize how to use specific models. We explain the core principles and structure of ComfyUI so that you can build your own workflows even when models and nodes change.
✓We don't hide the moments when errors occur. We show the actual process of getting stuck and resolving them exactly as it happens.
✓It always ends with automation. We complete a system that continues to generate results on its own, rather than just a one-time output.
✓All workflows and source code used in the class are provided as course materials.
✓All lectures provide detailed class notes and offer explanations for theories and terminology that may be lacking in the lectures.
AI image and video production, where should you start?
This course was created specifically for these people.
✓
Professionals who want to automate repetitive image tasks
Designers and solo creators who repeatedly perform AI image generation and editing tasks
Marketers and shopping mall operators who need mass content generation
Those who feel limited by prompts alone and want to design the workflow itself
✓ Developers and planners who want to build automated systems
Connecting n8n and ComfyUI for those who want to create an end-to-end automation pipeline
Planners who want to apply AI content creation to actual services or business processes
Those who want to manage cloud GPU costs and design a mass generation system
✓ AI practitioners who want to elevate ComfyUI into a professional tool
Advanced techniques such as LoRA, ControlNet, and upscaling for those who want to apply them to real-world projects
Those who want to expand their pipeline beyond image generation to video generation
Students and entrepreneurs who want to directly productize and commercialize generative AI services
FINAL NOTES
Build your own AI generation pipeline with ComfyUI and n8n from start to finish yourself.
ℹ️ Notes before taking the course
Practice Environment
Operating System: This course was created based on the Windows environment. Although ComfyUI itself can be run on macOS, it may be difficult to follow the course content exactly as some models, custom nodes, and GPU acceleration features may not be compatible. The course does not cover installation or troubleshooting for macOS, and we recommend taking the course on a Windows PC or an NVIDIA GPU-based cloud environment.
Essential Tools: ComfyUI, ComfyUI Manager, RunPod/Vast.ai, n8n, Docker, Ostris AI Toolkit, etc. (Instructions for all will be provided in the course.)
PC Specifications: A standard PC with internet access (8GB VRAM or more recommended if using a local GPU; can be replaced with cloud services if not)
Learning Materials
Provided Materials: ComfyUI workflow JSON for each lecture, n8n workflow examples, and guide for model/node download paths for practice
Structure: Step-by-step learning in the order of Environment Setup → Model Theory → Upscaling/LoRA/Editing → Video Generation → n8n Automation
Prerequisites and Precautions
Familiarity with basic PC usage and terminal (command line) operations will speed up your learning.
Knowing basic Python syntax and API concepts will make the n8n automation practice in the latter part much easier.
While it's helpful to have a basic understanding of AI image generation, the course is structured so that even complete beginners can follow along step-by-step.
The course is practice-oriented and also covers the process of resolving errors encountered in real-world scenarios.
Recommended for these people
Who is this course right for?
Those who have felt the limitations of commercial AI services
Those who want to learn ComfyUI from scratch
Those who want to create AI images and videos themselves
Those who want to automate repetitive content creation
Those who want to integrate ComfyUI and n8n
Practitioners looking to build an AI content production pipeline
Those who want to create their own AI building system
Need to know before starting?
Basic file management in Windows must be possible.
To proceed with the Gemini API hands-on practice, you need a Google account and an API key.
Additional usage fees may apply for cloud GPU practice.
I have taken several of Dr. Nam's lectures, and they are always the best. He explains even the smallest details thoroughly for beginners. I don't know when it will be, but I look forward to your next new lecture.~
I'm so glad you appreciated the lecture content and my intentions behind it. It makes all the hard work I put into creating this lecture feel truly worthwhile. Thank you so much for your kind words and the wonderful rating~!!
Thank you for your kind words and the rating. If you have any questions while taking the course, please feel free to leave them on the Q&A board at any time~~!!
This is an incredible lecture. I’ve had some interest in learning image generation, thinking that I could eventually use it for work and realize my personal fantasies(?). However, I felt overwhelmed about where to start, so time just passed, and it eventually slipped my mind. Then, I saw this course uploaded on Inflearn at such an affordable price, so I decided to take it.
It feels like it’s properly piecing together the scattered bits of knowledge I had picked up here and there on YouTube. You really teach everything step-by-step from the very beginning, so even if you know nothing, you can produce results just by following along. I haven't finished 100% of the course yet, but I feel like once I get a bit more used to it, I'll be able to create the exact results I want.
The world has become such an interesting place. To think that I can turn the fantasies in my head into actual results...
Thank you so much for leaving such a thoughtful review!
When first encountering the field of AI image generation, the terminology and processes can seem complex and overwhelming, and it's easy to get exhausted trying to piece together scattered information from sources like YouTube. That is why, when structuring this course, I put the most effort into ensuring that "even someone with zero prior knowledge could naturally understand everything just by following along in order." I feel truly rewarded knowing that my intentions were well-received.
As you mentioned, the greatest charm and joy of AI image generation lies in directly transforming the imagination and ideas in your head into visual realities. If you continue to follow the remaining lectures step-by-step, you will soon be able to create the wonderful results you desire to your heart's content.
If you have any questions or get stuck while taking the course, please feel free to ask at any time. I will be rooting for you to enjoy the course until the very end and achieve your goals!