ComfyUI Course - Learn ComfyUI From Scratch | Full 5 Hour Course (Ep01)

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. The 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. 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