Udemy – Advanced Stable Diffusion with ComfyUI and SDXL 2024-4

Udemy – Advanced Stable Diffusion with ComfyUI and SDXL 2024-4 Downloadly IRSpace

Apr 17, 2025 - 20:31 Updated: Aug 17, 2025 - 15:25

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Udemy – Advanced Stable Diffusion with ComfyUI and SDXL 2024-4

Advanced Stable Diffusion with ComfyUI and SDXL course. In this tutorial, you’ll learn how to use Stable Diffusion, ComfyUI, and SDXL, three powerful, open-source tools that can generate realistic, artistic images from any text message. You will discover the principles and techniques of hidden diffusion models, a new class of production models that can produce high-quality images in seconds. You’ll also learn how to use ComfyUI, a graphical user interface that lets you design and implement complex Stable Diffusion workflows without coding. And you’ll check out SDXL, the next-generation Stable Diffusion model that can produce images with more detail, clarity and intelligence than ever before. System Requirements: This course will be suitable for students with an Nvidia RTX GPU with at least 8GB of VRAM. At the end of this course, you will be able to:

Create images of anything you can imagine using Stable Diffusion 1.5 and Stable Diffusion XL – SDXL.
Adjust and customize your image generation models using ComfyUI
Create realistic and artistic images using SDXL
Apply your skills in different areas such as art, design, entertainment, education and more

What you will learn in Advanced Stable Diffusion with ComfyUI and SDXL course

Install ComfyUI on Windows 10 and 11
Learn the basics of using ComfyUI, SDXL, and Stable Diffusion 1.5
How to use ComfyUI alongside Automatic1111
Thorough understanding of how to create and evaluate complex ComfyUI workflows
Super resolution methods to increase image size using ComfyUI methods and models
Use ControlNet preprocessors to create depth maps and output controls
Based on knowledge acquired in the course: Learning Generative Artificial Intelligence with SDXL, Stable Diffusion and ComfyUI
Create your own sustainable release models using model integration
Modify the hand pose using the Meshgraphomer ControlNet model
Understanding the use of Control-loras, ControlNets, Loras, Embeddings and T2I adapters in ComfyUI
Hardware applications of running Stable Diffusion and storing models
Learn about using generative adversarial networks and CLIP neural networks in stable publishing workflows.
Build on the knowledge gained while using other Stable Diffusion interfaces

This course is suitable for people who

This course is ideal for learners who want to understand the differences between ComfyUI and other versions of Stable Diffusion such as Automatic1111 and Invoke.
Students who wish to learn the latest features available for SDXL
Students who want to learn about the latest models available for use with ComfyUI, SDXL, and Stable Diffusion 1.5.
Creatives with previous ComfyUI experience who want to expand their skill set

Advanced Stable Diffusion with ComfyUI and SDXL course specifications

Publisher: Udemy
Instructor: Pixovert Studio
Training level: beginner to advanced
Training duration: 6 hours and 10 minutes
Number of courses: 40

Course topics on 6/2024

Advanced Stable Diffusion with ComfyUI and SDXL course prerequisites

An understanding of how to create simple and complex Stable Diffusion prompts
A Windows PC with an Nvidia RTX Graphics card with at least 8GB of VRAM. (Students without an Nvidia GPU can run ComfyUI but will struggle with some course material.)
A beginner’s understanding of the workflow within ComfyUI OR an intermediate understanding of the use of other versions of Stable Diffusion
A good command of English – there are no captions at present on the course
An open-minded approach to art and a real commitment to doing things the ComfyUI way

Udemy – Advanced Stable Diffusion with ComfyUI and SDXL 2024-4