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Video course · 15 chapters · 289 min · certificate

ComfyUI Course: Stable Diffusion, LoRA & ControlNet from Scratch

Learn ComfyUI from scratch: install and hardware choices, running and building workflows, nodes, saving and folders, custom nodes, diffusion and KSampler, image-to-image, subgraphs, LoRAs, ControlNet, model formats (AIO, FP8/FP16, GGUF), batches and styles, API nodes and troubleshooting.

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What you'll learn

  • Install ComfyUI and choose hardware
  • Run and build workflows from nodes
  • Organize, save and update workflows and custom nodes
  • Understand diffusion, KSampler and image-to-image
  • Use LoRAs, ControlNet and subgraphs
  • Choose model formats and handle errors

Chapters

15 chapters · 289:00
  1. 18:57 01Setup Members Introduction and installation Foundations, ComfyUI versions, hardware and installation.
  2. 8:31 02First run Members Running a ready-made workflow Loading and running a workflow before learning nodes.
  3. 44:36 03Nodes Members Nodes and how workflows work The building blocks of ComfyUI and how they connect.
  4. 15:36 04Build Members Building a workflow from scratch Recreating a workflow from scratch with an analogy.
  5. 11:13 05Organize Members Saving workflows and folder structure Saving, exporting, importing and ComfyUI's folders.
  6. 17:04 06Maintain Members Updating and custom nodes Updating ComfyUI and managing custom nodes.
  7. 30:55 07Core Members Diffusion, KSampler and image-to-image How diffusion works, KSampler settings and image-to-image.
  8. 18:49 08Extend Members Subgraphs and LoRAs Converting nodes to subgraphs and using LoRAs.
  9. 14:14 09Control Members ControlNet basics Guiding generation with an extra image.
  10. 20:32 10Models Members Checkpoints, AIO and Z-Image Model types: checkpoints, all-in-one models and Z-Image.
  11. 25:15 11Models Members FP8, FP16 and GGUF models Diffusion models in FP8/FP16 and GGUF quantized models.
  12. 14:32 12Scale Members Batches, styles and multiple prompts Batch generation, styles and multiple prompts.
  13. 13:36 13Advanced Members LoRA and ControlNet with Z-Image Turbo Using LoRAs and ControlNet with Z-Image Turbo.
  14. 15:23 14API Members API nodes Using API nodes for cloud models inside ComfyUI.
  15. 19:47 15Help Members Errors and next steps Handling common errors and continuing to learn.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Graphic DesignersPhotographersArt Directors3D Artists