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Certification

Certification in ComfyUI Stable Diffusion Workflow Design with LoRA & ControlNet

Get certified in ComfyUI Stable Diffusion workflows. Build and version node workflows, control outputs with LoRA and ControlNet, run text/image jobs on tight VRAM, fix failures fast, and deliver reproducible, production-ready images on deadline.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner · Intermediate
IT and development
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The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Introduction and installation18:57
  2. 02Running a ready-made workflow8:31
  3. 03Nodes and how workflows work44:36
  4. 04Building a workflow from scratch15:36
  5. 05Saving workflows and folder structure11:13
  6. 06Updating and custom nodes17:04
  7. 07Diffusion, KSampler and image-to-image30:55
  8. 08Subgraphs and LoRAs18:49
  9. 09ControlNet basics14:14
  10. 10Checkpoints, AIO and Z-Image20:32
  11. 11FP8, FP16 and GGUF models25:15
  12. 12Batches, styles and multiple prompts14:32
  13. 13LoRA and ControlNet with Z-Image Turbo13:36
  14. 14API nodes15:23
  15. 15Errors and next steps19:47
About the course

ComfyUI Course: Stable Diffusion, LoRA & ControlNet from Scratch (Video Course) is a practical certification that takes you from guessing to building with ComfyUI. In a focused 5 hours, you'll wire real node workflows, control results, and fix issues fast,boosting Increased Productivity, Improved Decision-Making, and Competitive Advantage while helping you future-proof your career and stay adaptable. Enroll now to build reliable text-to-image and image-to-image pipelines, apply LoRA and ControlNet with confidence, and leave with reproducible workflows you can trust.

This certification covers the following topics:

  • The ComfyUI paradigm: node-based AI workflows
  • System setup, VRAM-savvy configuration, and installing ComfyUI
  • Interface tour and node management essentials
  • Core diffusion concepts: latent space, VAE, CLIP, prompts, and guidance
  • Text-to-image workflow anatomy and quality control
  • Image-to-image techniques for precise restyling
  • Samplers and schedulers: dialing in speed, fidelity, and style
  • LoRA: compact style transfer and character consistency
  • ControlNet: structural guidance for pose, edges, and depth
  • Subgraphs and reusable modules for faster pipelines
  • Model management, formats, and folder organization
  • Reproducibility, maintenance, and troubleshooting playbook

Jobs this certification suits

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

Graphic DesignersPhotographersArt Directors3D Artists