Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 58 Minute(s)
Language
English
Taught by
Pixovert Studio
Rating
Course Overview
Get Ahead in Design-related Generative AI with ComfyUI, SDXL and Stable Diffusion 1.5 and FLUX.1 Krea (dev)
This is an advanced Stable Diffusion course so prior knowledge of ComfyUI and/or Stable diffusion is essential!
Advanced Stable Diffusion with ComfyUI and SDXL and FLUX KREA - UPDATED 2026
In this course, you will learn how to use Stable Diffusion, ComfyUI, and SDXL, three powerful and open-source tools that can generate realistic and artistic images from any text prompt. You will discover the principles and techniques behind latent diffusion models, a new class of generative models that can produce high-quality images in seconds. You will also learn how to use ComfyUI, a graphical user interface that lets you design and execute complex Stable Diffusion workflows without coding. And you will explore SDXL, the next-generation Stable Diffusion model that can generate images with more detail, resolution, and intelligence than ever before.
System Requirements
Course is fine for either an online service able to run a wide variety of ComfyUI models or learners students with an Nvidia RTX GPU with at least 8 GB of VRAM. Setups with less VRAM may or may not be able to complete all the steps outlined in the lectures
By the end of this course, you will be able to:
Generate images of anything you can imagine using Stable Diffusion 1.5 and Stable Diffusion XL - SDXL
Fine-tune and customize your image generation models using ComfyUI
Create photorealistic and artistic images using SDXL
Apply your skills to various domains such as art, design, entertainment, education, and more
This course is suitable for anyone who is interested in AI image synthesis, whether you are someone with prior knowledge of Stable Diffusion and are a beginner in ComfyUI or an Intermediate stage learner of ComfyUI who wants to know and understand more. You don’t need any prior experience or knowledge of coding or machine learning to follow along. All you need is a computer with an Nvidia GPU and an Internet connection.
Don’t miss this opportunity to unleash your creativity and learn from the best in the field. Enroll in this course today and start making your own amazing ComfyAI images!
Course Content
- 19 section(s)
- 64 lecture(s)
- Section 1 Introduction
- Section 2 Getting Started
- Section 3 ComfyUI Workflow Fundamentals
- Section 4 Managing Downloads of Large Model Files
- Section 5 Working with Loras and Control Loras in SDXL and Stable Diffusion 1.5
- Section 6 Working with ControlNets
- Section 7 Post Processing
- Section 8 Working with T2I Adaptors and Understanding Auxiliary Downloads
- Section 9 IP Adapters - AI Vision put to Intelligent Use
- Section 10 Achieving Professional Results with Embeddings and 'Textual Inversions'
- Section 11 Extra Resources
- Section 12 ComfyUI Latent Powers
- Section 13 ComfyUI Desktop Edition - Updated September 2025
- Section 14 Using the Flux Krea Model for High Quality Photographic Portraits
- Section 15 Prompting FLUX Krea in Color in Portraits and Landscapes
- Section 16 FLUX Krea - Key Workflow Techniques & Choosing Sampler and Schedulers in ComfyUI
- Section 17 Hardware Considerations
- Section 18 Updates
- Section 19 Bonus
What You’ll Learn
- Comfy Cloud - A way of using this online service to learn about ComfyUI instead of local hardware, Install ComfyUI on Windows 10 and 11, Learn the core aspects of using ComfyUI, SDXL and Stable Diffusion 1.5, Understanding fully how to create and assess complex ComfyUI Workflows, Use ControlNet Preprocessors to create depth maps and output controls, Use Control Loras to remix and control outputs, Super resolution methods to increase image sizes using ComfyUI methods and models, Build on knowledge gain in the course: Learn Generative AI with SDXL, Stable Diffusion and ComfyUI, Correct hand postures using the Meshgraphomer ControlNet model, How to use ComfyUI alongside Automatic1111, Build on knowledge gained during the use of other Stable Diffusion user interfaces, Create your own Stable Diffusion models using model merging, Understand the use of Control-loras, ControlNets, Loras, Embeddings and T2I Adapters within ComfyUI, Learn about the use of Generative Adverserial Networks and CLIP Neural Networks in the Stable Diffusion workflow, The hardware practicalities of running Stable Diffusion and storing models
Skills covered in this course
Reviews
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UUdemy User
It's a good course, but I feel like there isn't much information. I'd like the lectures to be more comprehensive, with videos, etc.
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PP FT
Great, informative. Great base knowledge. One callout, and I understand this is a challenge with any AI class; some of the models, checkpoints, and nodes are outdated. Very informative; the next step for individuals who want to move beyond beginner-level information. I'm looking forward to the Flux advanced class.
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RRoman Protsyk
The course is generally interesting for a general idea of what ComfyUI is, but all the nodes and models used in the lessons are outdated and no longer relevant. Nobody uses this today. And you will have to learn and understand it all over again.
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MMauro Falomi
no nessuno mi ha detto che non è per Mac
