Video coming soon
ComfyUI Course - Learn ComfyUI From Scratch | Full 5 Hour Course
All the basics in one long video: install ComfyUI, run and build your first workflows, then use image to image, LoRAs, ControlNet, and Z-Image Turbo with FP8 and GGUF models. Watch this one first.
Good to know: About 5 hours. A card with 6 to 8 GB of VRAM is enough for this episode.
What is inside: 23 chapters
- Course Introduction and Foundations
- ComfyUI Versions, Hardware, and Setup Choices
- Installing ComfyUI (Portable Version)
- First Launch and Interface Overview
- Running a Ready-Made Workflow
- Understanding Nodes and How a Workflow Works
- Building a Workflow From Scratch
- Saving, Exporting, and Importing Workflows
- ComfyUI Folder Structure and Organization
- Updating ComfyUI and Managing Custom Nodes
- Diffusion, KSampler, Image to Image Basics
- Subgraphs
- Using LoRAs in a Workflow
- ControlNet Basics
- Checkpoints, AIO Models, and Z-Image Workflow
- Using Diffusion Models (FP8 or FP16)
- Using GGUF Models
- Batch Generation, Styles, and Multiple Prompts
- Using LoRAs with Z-Image Turbo
- Using ControlNet with Z-Image Turbo
- API Nodes
- Handling Errors and Getting Help in ComfyUI
- How to Continue Learning and What Comes Next





































