ComfyUI Essentials: Image & Video Generation
Welcome to my course teaching generative AI using ComfyUI.
This hands-on guide will help you to create stunning visuals and animations using ComfyUI's powerful, node-based workflow.
The tutorials in this documentation supplement my Image and Video GenAI Course on Udemy and YouTube
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Course Access
There are 2 possible ways to access the video content in this course.
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YouTube Membership : https://www.youtube.com/@sbcode/join
Overview
Learn to generate high-quality images and videos using ComfyUI, a powerful visual interface built around Stable Diffusion and many other popular AI models. Whether you're a digital artist, content creator, creative developer, or AI enthusiast, this course will show you how to turn your ideas into stunning visuals - with no coding required.
This hands-on course walks you through the essentials of ComfyUI, a node-based system that gives you full control over the generative process. You'll start with the basics of text-to-image generation, then move into more advanced workflows like image-to-image, Inpainting, Outpainting, compositing image layers together, installing the ComfyUI manager, improving resolution and quality using ESRGAN, comparing various model checkpoints, Stable Video Diffusion, frame interpolation for smoother motion, understanding canny, depth and OpenPose controlNets, using the IP-Adapter for improved character consistency, extracting ControlNets from Videos, using the AnimateDiff, the Video Helper Suite and ControlNeXt-SVD for extended animation sequences.
You'll gain a solid understanding of how different nodes interact - including samplers, models, prompts, and schedulers - and how to combine them for powerful creative outputs. Along the way, we'll cover best practices for exporting assets for use in creative or commercial projects.
By the end of the course, you'll be able to confidently design and execute complete image and video workflows in ComfyUI.
This course is perfect for learners who want creative control without writing code, and who are ready to move beyond "prompt-only" AI tools into building custom visual workflows that are fast, flexible, and future-ready.