- This event has passed.
Mastering Generative Art with ComfyUI
Saturday May 17 @ 8:00 pm – 10:00 pm BST
A Complete Training Series for Digital Artists
Presented by Vladimir Chopine | Hosted by Digital Art Live
Learn the Power of Node-Based Generative Art
ComfyUI is a free, open-source interface for generating AI art using Stable Diffusion. But unlike most tools that give you little control, ComfyUI is entirely visual, modular, and made for artists who want flexibility without needing to code. This course shows you how to confidently use it to create images, animation, and even your own custom workflows — no tech background required.
What’s Possible with ComfyUI
Imagine turning a simple text prompt into a cinematic landscape, animating your characters with just a few clicks, or creating stunning 360° VR art that surrounds your viewer. With ComfyUI, you’re not just generating images—you’re designing full creative pipelines. Want to create AI-enhanced videos? Swap faces? Stylize a series with LoRAs? Even begin experimenting with 3D forms using Trellis workflows? ComfyUI makes it all possible—and this course gives you the foundation to do it confidently. While we focus on the essentials, we’ll stay flexible—if you’re curious about something specific, we’re ready to adapt the live sessions to support your creative goals.
Free Introductory Event – Saturday, 17th May 2025
Experience the course before enrolling. This live session includes key content from Module 1 and a live walkthrough of how ComfyUI works.
What you’ll learn in the free session:
- What generative AI is (and isn’t)
- How image generation works using diffusion models
- Why ComfyUI is ideal for creators who want control and flexibility
- What makes a good prompt — and how to improve your results
Date: Saturday, 17th May 2025
Duration: Approx 1.5 hours
Time: 20:00 BST (London)
Premium Ticket
Premium ticket for the event includes:-
- Event HD Recording
- Bonus Content : Stable Diffusion and ControlNet Introduction (1.5 hours)
Below: FramePack — one of the most powerful AI tools you can use within ComfyUI for creating long videos with stunning quality and minimal GPU usage (only 6GB VRAM needed).
Is This Course for You?
This course is for you if:
- You’ve tried AI tools but feel overwhelmed by tech jargon
- You want to create high-quality art without relying on websites with limited options
- You don’t have a high-end GPU and need an affordable way to run Stable Diffusion
This course helps you accomplish:
- Learning how to get clean, consistent results with Stable Diffusion
- Animating your AI images or exploring stylized video
- Working confidently in ComfyUI without needing Python knowledge
What You’ll Learn in the Full Course
- Installing ComfyUI and getting the right models
- Creating text-to-image and image-to-image workflows
- Using ControlNet, IP-Adapter, and LoRAs for artistic precision
- Upscaling your work with Flux for print or HD video
- Running everything on affordable Cloud GPUs (no expensive hardware required)
- Creating animations with AnimateDiff
- Troubleshooting broken workflows and optimizing performance
- Building your own tools with custom nodes (optional)
- Completing a personal capstone project
Mastering Generative Art with ComfyUI Course
Below: FluxRegionAttention, a powerful tool for achieving precise control over AI-generated images
Full Curriculum
=> Click HERE to see what you’ll learn in Detail
Module 1: Foundations of Generative AI
Learn the principles behind generative AI and how tools like Stable Diffusion work. We’ll explore diffusion models, transformers, latent space, and common terminology. This sets the groundwork for everything that follows — especially for those new to AI-generated art.
Module 2: Getting Started with ComfyUI
Install and launch ComfyUI on your computer (or in the cloud). Learn about the interface, how to load models, and how ComfyUI’s visual node system works. By the end of this module, you’ll be generating your first images and ready to start customizing your prompts.
Module 3: Basic Workflows and Prompting
We’ll guide you through the standard text-to-image generation process, and introduce prompt engineering techniques that make a big difference in results. You’ll also learn how to structure prompts, emphasize key elements, use negative prompts, and optimize generation settings like CFG scale, sampling steps, and seed control.
Module 4 : Advanced Techniques (ControlNet, IP-Adapter, LoRAs)
Take your creative control to the next level. This module introduces tools for precise control over structure, pose, lighting, and style. You’ll learn how to use ControlNet for guiding image content, IP-Adapter for conditioning results with reference images, and LoRAs for applying specific styles or custom characters. You’ll also explore image-to-image workflows and style preservation techniques.
Module 5: High-Quality Image Upscaling with Flux
Learn how to enlarge and enhance your AI-generated images without losing detail. This module covers traditional vs AI upscaling, and focuses on the Flux upscaler—a ControlNet-based model that can enhance detail, texture, and resolution. You’ll build workflows for 2x, 4x, and even multi-stage upscaling suitable for print or large displays.
Module 6: Cloud GPU & Remote Workflows
No powerful GPU? No problem. This hands-on session teaches how to run ComfyUI in the cloud using RunPod or Google Colab. You’ll learn about spinning up cloud GPUs, managing costs, persistent storage, and accessing your models remotely. We provide you with:
By the end, you’ll be able to run any ComfyUI workflow without needing high-end hardware at home.
Module 7: Video Generation with AnimateDiff
Create short animated clips from your AI prompts. You’ll learn how AnimateDiff works, how to generate frame sequences, control motion, and use prompts that guide animation over time. We’ll also explore camera simulation, motion strength, looping, and integrating with ControlNet and IP-Adapter for advanced control.
Module 8: Workflow Optimisation & Troubleshooting
A practical clinic for fixing slow or broken workflows and improving performance. Topics include:
- Using batching, caching, and Flash Attention
- Saving memory with LoRA, VAE tiling, and compression tricks
- Fixing errors like CUDA out of memory or mismatched model inputs
- Debugging with console logs
- Profiling GPU activity
You’ll receive a reusable cheat-sheet and a broken workflow to practice repairs live in-session.
Module 9: Custom Node Development in Python (VIP Session)
For students ready to dive deeper, this module covers how to write your own ComfyUI nodes using Python. You’ll learn how nodes work, how to structure your own inputs and outputs, and how to automate or extend your workflows. Prior coding experience is helpful but not required.
Module 10: Capstone Projects & Portfolio Creation (VIP Session)
Apply what you’ve learned with a personal project that showcases your skills. Whether it’s a character sheet, an animated scene, or a series of stylized images, we’ll guide you through planning, building, and refining your work. You’ll finish with a polished portfolio piece and optional feedback session.
Worried It’s Too Complex?
We understand — AI tools can be intimidating. That’s why this course is built from the ground up for artists, not programmers.
You’ll learn how to confidently generate beautiful artwork in ComfyUI —
Even if you:
- Have never used Stable Diffusion or a node system before
- Don’t know what a LoRA or VAE is yet
- Have limited computer experience or no GPU at all
Every session includes step-by-step instructions, screen-sharing, live Q&A, and downloadable templates. If you get stuck, we’ll help you get unstuck.
Exploring using Trellis , ComfyUI, and various other powerful nodes to create a workflow for transforming 2D images into 3D models.
What Makes This Course Different?
- Taught live by Vladimir Chopine, who has trained thousands of artists across 3D, digital art, and AI workflows
- You’ll receive clear explanations, not technical lectures
- You get immediate feedback during the sessions — not just video replays
- Includes setup guides for both local installs and cloud workflows (no GPU needed)
- You’ll be learning alongside other creative professionals — not just tech users
This course is designed to give you practical mastery — the kind that helps you build an actual workflow, not just watch someone else do it.
Please select groupCourse Duration and Schedule
The ComfyUI course runs over 8 weeks, with one live session each Saturday starting May 24th, 2025.
Each session lasts up to 2 hours, giving you plenty of time for guided walkthroughs, practical exercises, and live Q&A with Vladimir Chopine.
Weekly live sessions begin at:
• 20:00 BST (London)
• 15:00 EDT (New York)
• 12:00 PDT (Los Angeles)
• 13:00 MDT (Salt Lake City)
Recordings will be available after each session in case you can’t attend live.
Standard Access
Includes all 8 core training modules. You’ll get live instruction, downloadable class resources, replays, and full participation in a private forum.
It’s perfect if you want a strong, structured introduction to ComfyUI — and the tools to start building powerful, flexible AI workflows right away.
VIP Access
Want to go deeper, build your own tools, and get personal guidance? Upgrade to the VIP level and receive:
• 2 additional live training sessions (Modules 9 and 10), including custom node development in Python and a project-focused capstone lab
• A one-to-one session with Vladimir, where you’ll get direct help on a personal ComfyUI project, workflow, or goal
This upgrade is ideal for artists, creators, or developers who want to push their ComfyUI skills beyond presets and into custom creative systems.
Course Requirements
- A PC, Mac, or Chromebook
- Python 3.10+ (we provide installation steps)
- Or use RunPod or Google Colab — no GPU required
- Internet access
- Curiosity and willingness to experiment
- No coding experience required for the main modules
Your Instructor: Vladimir Chopine
Vladimir is the founder of GeekAtPlay Studios and has taught digital art, 3D environments, and now AI tools to thousands of artists worldwide. He brings deep experience and clear instruction to help you succeed without needing a technical background.