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This five-hour course is aimed at people who want to understand why a workflow works rather than copying one. It opens with what ComfyUI is and how diffusion-based generation works, then moves into nodes, building a workflow step by step, and saving and importing workflows. No coding knowledge is needed, according to the description.
The chapter list runs through checkpoints, GGUF models, batch generation with multiple prompts, and LoRA and ControlNet use, with later chapters on Z-Image Turbo and API nodes. Chapter 22 covers handling errors and getting help.
This ComfyUI course for beginners teaches you how to use ComfyUI from scratch, starting with the fundamentals and building a real understanding of how AI image generation works locally.
This ComfyUI course is approximately 5 hours long and is designed for visual thinkers who want to understand workflows instead of copying them blindly.
In this episode, you’ll learn what ComfyUI is, how diffusion-based image generation works, how nodes connect, and how to confidently navigate and build workflows step by step. No coding knowledge is required.
This course focuses on clarity, logic, and fundamentals, so you can use ComfyUI without feeling lost or overwhelmed.
If this course helps you understand ComfyUI, subscribe to the channel for future episodes where we go deeper into workflows, models, ControlNet, LoRAs, and advanced techniques.
Feel free to like, comment, and ask questions, they help shape the next episodes.
Get ComfyUI Easy Installer from here https://github.com/Tavris1/ComfyUI-Easy-Install
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📥 Free Workflows, cloud tools, help, and membership: https://pixaroma.com/
▶️ Full ComfyUI course https://workflows.pixaroma.com/comfyui-course/
short comfyui intro for beginners
https://youtube.com/watch?v=8l8nYfU81nA
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#comfyui #comfyuicourse #comfyuitutorial
Chapters:
00:00:00 Chapter 1 – Course Introduction and Foundations
00:03:29 Chapter 2 – ComfyUI Versions, Hardware, and Setup Choices
00:07:04 Chapter 3 – Installing ComfyUI (Portable Version)
00:13:36 Chapter 4 – First Launch and Interface Overview
00:18:57 Chapter 5 – Running a Ready-Made Workflow
00:27:28 Chapter 6 – Understanding Nodes and How a Workflow Works
01:12:04 Chapter 7 – Building a Workflow From Scratch
01:27:40 Chapter 8 – Saving, Exporting, and Importing Workflows
01:34:23 Chapter 9 – ComfyUI Folder Structure and Organization
01:38:53 Chapter 10 – Updating ComfyUI and Managing Custom Nodes
01:55:57 Chapter 11 – Diffusion, KSampler, Image to Image Basics
02:26:52 Chapter 12 – Subgraphs
02:34:25 Chapter 13 – Using LoRAs in a Workflow
02:45:41 Chapter 14 – ControlNet Basics
02:59:55 Chapter 15 – Checkpoints, AIO Models, and Z-Image Workflow
03:20:27 Chapter 16 – Using Diffusion Models (FP8 or FP16)
03:31:34 Chapter 17 – Using GGUF Models
03:45:42 Chapter 18 - Batch Generation, Styles, and Multiple Prompts
04:00:14 Chapter 19 – Using LoRAs with Z-Image Turbo
04:05:52 Chapter 20 – Using ControlNet with Z-Image Turbo
04:13:50 Chapter 21 - API Nodes
04:29:13 Chapter 22 – Handling Errors and Getting Help in ComfyUI
04:43:11 Chapter 23 – How to Continue Learning and What Comes Next
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