Description
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
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Install ComfyUI on Windows 10 and 11
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Learn the basics of using ComfyUI, SDXL, and Stable Diffusion 1.5
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How to use ComfyUI alongside Automatic1111
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Thorough understanding of how to create and evaluate complex ComfyUI workflows
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Super resolution methods to increase image size using ComfyUI methods and models
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Use ControlNet preprocessors to create depth maps and output controls
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Based on knowledge acquired in the course: Learning Generative Artificial Intelligence with SDXL, Stable Diffusion and ComfyUI
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Create your own sustainable release models using model integration
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Modify the hand pose using the Meshgraphomer ControlNet model
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Understanding the use of Control-loras, ControlNets, Loras, Embeddings and T2I adapters in ComfyUI
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Hardware applications of running Stable Diffusion and storing models
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Learn about using generative adversarial networks and CLIP neural networks in stable publishing workflows.
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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
- Teacher : Pixovert Studio
- Language: English
- Level : Intermediate
- Lectures : 59
- Duration : 7 hours and 28 minutes
Course topics
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
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: English
Quality: 720p
The 2025/10 version has increased the number of lessons by 19 and the duration increased by 1 hours 18 minutes compared to 2024/4.
Download link
Downloadly
Rapidgator
File(s) password: www.downloadly.ir
Size
6.14 GB
