Learn Generative AI with SDXL, Stable Diffusion and ComfyUI

Learn Generative AI with SDXL, Stable Diffusion and ComfyUI, available at $69.99, has an average rating of 4.1, with 37 lectures, based on 112 reviews, and has 611 subscribers.

You will learn about Install ComfyUI and the Stable Diffusion Models Understand SDXL (Stable Diffusion XL) models and workflows Understand the key features of ComfyUI Understand the core features of Stable Diffusion How to use the SDXL Refiner correctly Recognise the important of AI models and interactions between models Develop sophisticated prompts and refine them How to curate your Stable Diffusion models Where to find ComfyUI workflows and how to install them How to use ComfyUI extensions like the ComfyUI manager Using Stable Diffusion to replicate features of Photoshops Generative Fill Working with complex time related prompts Working with multiple stage workflows This course is ideal for individuals who are Designers or AI enthusiasts who want to understand how generative AI plays within the world of art or Existing Stable Diffusion users who want to learn new methods, (but this is NOT a transfer course for A1111 users – Comfy is NOT A1111!) or Artists looking to incorporate generative AI into their set of tools It is particularly useful for Designers or AI enthusiasts who want to understand how generative AI plays within the world of art or Existing Stable Diffusion users who want to learn new methods, (but this is NOT a transfer course for A1111 users – Comfy is NOT A1111!) or Artists looking to incorporate generative AI into their set of tools.

Enroll now: Learn Generative AI with SDXL, Stable Diffusion and ComfyUI

Summary

Title: Learn Generative AI with SDXL, Stable Diffusion and ComfyUI

Price: $69.99

Average Rating: 4.1

Number of Lectures: 37

Number of Published Lectures: 33

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 33

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

Install ComfyUI and the Stable Diffusion Models

Understand SDXL (Stable Diffusion XL) models and workflows

Understand the key features of ComfyUI

Understand the core features of Stable Diffusion

How to use the SDXL Refiner correctly

Recognise the important of AI models and interactions between models

Develop sophisticated prompts and refine them

How to curate your Stable Diffusion models

Where to find ComfyUI workflows and how to install them

How to use ComfyUI extensions like the ComfyUI manager

Using Stable Diffusion to replicate features of Photoshops Generative Fill

Working with complex time related prompts

Working with multiple stage workflows

Who Should Attend

Designers

AI enthusiasts who want to understand how generative AI plays within the world of art

Existing Stable Diffusion users who want to learn new methods, (but this is NOT a transfer course for A1111 users – Comfy is NOT A1111!)

Artists looking to incorporate generative AI into their set of tools

Target Audiences

Designers

AI enthusiasts who want to understand how generative AI plays within the world of art

Existing Stable Diffusion users who want to learn new methods, (but this is NOT a transfer course for A1111 users – Comfy is NOT A1111!)

Artists looking to incorporate generative AI into their set of tools

For Beginner’s who are looking to dive into Generative AI – making images out of text.

ComfyUI is an advanced node-based UI that utilizes Stable Diffusion. It allows you to create customized workflows such as image post-processing or conversions. It is a powerful and modular stable diffusion GUI with a graph/nodes interface. This UI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. It is an extremely powerful Stable Diffusion graphical user interface and the graph/nodes interface is ideal for advanced users as it gives precise control over the diffusion process without any coding being required.

ComfyUI is an amazing tool that can help you achieve your goals with ease and precision. Its advanced features and user-friendly interface make it a top choice for anyone looking to work with Stable Diffusion. Give it a try and see for yourself how it can help you achieve your goals!

System Requirements

A graphics card from Nvidia with at least 4GB of VRAM hugely improves performance of this software.  More video card VRAM than this is recommended.  Running without an Nvidia GPU is possible but will be extremely slow.

Stable Diffusion is a deep learning, text-to-image model that was released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, but it also possesses powerful compositional and post processing potential.

Prompts are at the core of using Stable Diffusion and other Generative AI models.

Prompt engineering is the art of communicating with a generative AI model using natural language. Prompt engineering has been described as the number “one job of the future” at the World Economic Forum and as “an amazingly high-leverage skill and an early example of programming in a little bit of natural language” by Sam Altman, one of the founders of Open AI.

It involves crafting input text that instructs the model on what to do and how to do it, as well as providing, cues, and supporting content to guide the model’s output. Prompt engineering is a valuable skill for constructing intelligent outputs with generative AI, as it can unlock the potential of large language models (LLMs) that have been trained on massive amounts of data.

The course will touch lightly on theory and focus on practicalities, but the theory is always a foundational aspect of the material explored here.

Attention to detail and open-mindedness are essential in Generative AI and both are encouraged throughout the course. The course aims to provide a solid foundational understanding of the software that will act as a launchpad for further exploration.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome and Introduction

Lecture 2: Course Level and Adjacent Courses

Lecture 3: Stable Diffusion XL (SDXL) and ComfyUI

Lecture 4: Demo and Installation

Lecture 5: SDXL 1.0 – Download and Install files

Lecture 6: First Look at SDXL 1.0 – Just what can Stable Diffusion XL Achieve?

Lecture 7: Running Batch Files for GPU and CPU

Lecture 8: (Optional) Installing Additional Versions of Python

Lecture 9: Security Update – IMPORTANT

Chapter 2: Understanding the User Interface

Lecture 1: First Steps

Lecture 2: SDXL – First Steps with Stable Diffusion XL Workflows

Lecture 3: Questions on the Kitten on the Hill

Lecture 4: Template Customization and Answers to Kitten on the Hill Quiz

Chapter 3: AI Models and Workflows

Lecture 1: Model Curation

Lecture 2: Workflow Analysis

Lecture 3: Workflow Inspiration and Non Checkpoint Model Curation

Chapter 4: Sophisticated Workflows

Lecture 1: Enlarging Images and More Sophisticated Workflows

Lecture 2: Exploring SDXL Beta Workflows

Lecture 3: Updating Standalone ComfyUI

Lecture 4: Customizing ComfyUI – Installing the ComfyUI Manager

Lecture 5: Using the ComfyUI Manager

Lecture 6: Customizing ComfyUI – Automatic1111 Styles and Image Preview

Lecture 7: Update Important on Efficiency Nodes for Following Lectures

Lecture 8: Customizing ComfyUI – Custom Scripts for Organising the User Interface

Lecture 9: Customizing ComfyUI – More Efficient Workflows with Efficiency Nodes

Chapter 5: Prompt Engineering

Lecture 1: Prompt Engineering

Lecture 2: Classifier Free Guidance – CFG – and Clip Set Last Layer (Clip Skipping)

Lecture 3: Prompt Engineering – Tricks and Tips

Lecture 4: Prompt Engineering – Advanced Techniques – Time Based Prompts and Composition 1

Chapter 6: ComfyUI Latentpowers

Lecture 1: Generative Fill in Comfy UI

Chapter 7: New Developments

Lecture 1: Updated Python Configuration in ComfyUI Standalone

Lecture 2: A newer faster version of SDXL – Segminds SSD-1B

Lecture 3: ComfySpace – A way of organising workflows, images and models

Instructors

Pixovert Studio
Course Instructor

Rating Distribution

1 stars: 5 votes

2 stars: 9 votes

3 stars: 20 votes

4 stars: 28 votes

5 stars: 50 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!