Advanced Stable Diffusion with ComfyUI and SDXL

Advanced Stable Diffusion with ComfyUI and SDXL, available at $69.99, has an average rating of 3.7, with 48 lectures, based on 108 reviews, and has 1051 subscribers.

You will learn about Install ComfyUI on Windows 10 and 11 Learn the core aspects of using ComfyUI, SDXL and Stable Diffusion 1.5 How to use ComfyUI alongside Automatic1111 Understanding fully how to create and assess complex ComfyUI Workflows Super resolution methods to increase image sizes using ComfyUI methods and models Use ControlNet Preprocessors to create depth maps and output controls Build on knowledge gain in the course: Learn Generative AI with SDXL, Stable Diffusion and ComfyUI Create your own Stable Diffusion models using model merging Correct hand postures using the Meshgraphomer ControlNet model Understand the use of Control-loras, ControlNets, Loras, Embeddings and T2I Adapters within ComfyUI The hardware practicalities of running Stable Diffusion and storing models Learn about the use of Generative Adverserial Networks and CLIP Neural Networks in the Stable Diffusion workflow Build on knowledge gained during the use of other Stable Diffusion user interfaces ComfySpace – A way of organising workflows, images and models This course is ideal for individuals who are This course is ideal for learners who want to understand the differences between ComfyUI and other versions of Stable Diffusion like Automatic1111 and Invoke or Students wanting to learn the very latest features available for SDXL or Students wanting to learn about the very latest models available for use with ComfyUI, SDXL and Stable Diffusion 1.5 or Creatives with prior experience of ComfyUI who want to expand their skill range It is particularly useful for This course is ideal for learners who want to understand the differences between ComfyUI and other versions of Stable Diffusion like Automatic1111 and Invoke or Students wanting to learn the very latest features available for SDXL or Students wanting to learn about the very latest models available for use with ComfyUI, SDXL and Stable Diffusion 1.5 or Creatives with prior experience of ComfyUI who want to expand their skill range.

Enroll now: Advanced Stable Diffusion with ComfyUI and SDXL

Summary

Title: Advanced Stable Diffusion with ComfyUI and SDXL

Price: $69.99

Average Rating: 3.7

Number of Lectures: 48

Number of Published Lectures: 39

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 41

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

Install ComfyUI on Windows 10 and 11

Learn the core aspects of using ComfyUI, SDXL and Stable Diffusion 1.5

How to use ComfyUI alongside Automatic1111

Understanding fully how to create and assess complex ComfyUI Workflows

Super resolution methods to increase image sizes using ComfyUI methods and models

Use ControlNet Preprocessors to create depth maps and output controls

Build on knowledge gain in the course: Learn Generative AI with SDXL, Stable Diffusion and ComfyUI

Create your own Stable Diffusion models using model merging

Correct hand postures using the Meshgraphomer ControlNet model

Understand the use of Control-loras, ControlNets, Loras, Embeddings and T2I Adapters within ComfyUI

The hardware practicalities of running Stable Diffusion and storing models

Learn about the use of Generative Adverserial Networks and CLIP Neural Networks in the Stable Diffusion workflow

Build on knowledge gained during the use of other Stable Diffusion user interfaces

ComfySpace – A way of organising workflows, images and models

Who Should Attend

This course is ideal for learners who want to understand the differences between ComfyUI and other versions of Stable Diffusion like Automatic1111 and Invoke

Students wanting to learn the very latest features available for SDXL

Students wanting to learn about the very latest models available for use with ComfyUI, SDXL and Stable Diffusion 1.5

Creatives with prior experience of ComfyUI who want to expand their skill range

Target Audiences

This course is ideal for learners who want to understand the differences between ComfyUI and other versions of Stable Diffusion like Automatic1111 and Invoke

Students wanting to learn the very latest features available for SDXL

Students wanting to learn about the very latest models available for use with ComfyUI, SDXL and Stable Diffusion 1.5

Creatives with prior experience of ComfyUI who want to expand their skill range

This is an advancedStable Diffusion course so prior knowledge of ComfyUI and/or Stable diffusion is essential!

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

The course will be suitable for 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 Curriculum

Chapter 1: Introduction

Lecture 1: Demonstration – The User Interface is in Your Mind

Lecture 2: Introduction

Lecture 3: Course Level and Adjacent Courses

Lecture 4: Preparing for the Course

Chapter 2: Getting Started

Lecture 1: Installation – Installing the ComfyUI version of Stable Diffusion

Lecture 2: Security Update – IMPORTANT

Lecture 3: ComfyUI – Manager and Course Extensions

Lecture 4: Working Alongside Automatic 1111 – Sharing Checkpoints and Other Models

Chapter 3: ComfyUI Workflow Fundamentals

Lecture 1: Basic Workflows and Prompts – Stable Diffusion 1.5

Chapter 4: Working with Loras and Control Loras in SDXL and Stable Diffusion 1.5

Lecture 1: Working with Loras Stable Diffusion 1.5

Lecture 2: Working with Unorthodox Stable Diffusion SDXL Schemes

Lecture 3: Working with Loras – SDXL

Lecture 4: Control-Loras SDXL – an Introduction

Lecture 5: Control-Loras SDXL – Depth Map

Lecture 6: Control-Loras SDXL – Recolor

Lecture 7: Control-Loras SDXL – Sketch

Lecture 8: Control-Loras SDXL – Remix and Revision

Chapter 5: Working with ControlNets

Lecture 1: ControlNets SDXL – Introduction

Lecture 2: SDXL ControlNet Canny

Lecture 3: SDXL ControlNet Depth Map

Lecture 4: ControlNets for Stable Diffusion 1.5 Introduction and Setup

Lecture 5: ControlNet SD1.5 – Setup and Scribble, Lineart and Openpose

Lecture 6: SDXL and Stable Diffusion 1.5 – OpenPose Editor

Lecture 7: ControlNet Stable Diffusion 1.5 Using Multiple ControlNets

Lecture 8: ControlNets for Stable Diffusion 1.5 Depth Map Exercise

Chapter 6: Post Processing

Lecture 1: Super Resolution using Latent Upscale and Generative Adverserial Networks

Chapter 7: Working with T2I Adaptors and Understanding Auxiliary Downloads

Lecture 1: Auxiliary ControlNet Downloads in Stable Diffusion

Chapter 8: IP Adapters – AI Vision put to Intelligent Use

Lecture 1: IP Adapters – Style Transfer and Stylish ControlNet

Chapter 9: Achieving Professional Results with Embeddings and 'Textual Inversions'

Lecture 1: Embeddings and Textual Inversions in ComfyUI for SDXL and Stable Diffusion 1.5

Chapter 10: Extra Resources

Lecture 1: Using Third Party SDXL Model Cardos XL

Lecture 2: Introduction to Stable Video Diffusion

Chapter 11: ComfyUI Latent Powers

Lecture 1: Generative Fill in Comfy UI – Advanced Methods

Lecture 2: Generative Fill in Comfy UI – CLIP Segmentation Methods with CLIPSeg

Lecture 3: Generative Fill in Comfy UI – Smoothing Fills with Latent Masking

Lecture 4: Model Merging Basics

Lecture 5: Model Merging for Inpainting – Subtract and Add Method

Lecture 6: Fixing Hands in Stable Diffusion 1.5 with Meshgraphomer ControlNet

Chapter 12: Artistic Exploration

Chapter 13: Hardware Considerations

Lecture 1: Hardware for Data Storage

Lecture 2: Hardware Upgrades

Instructors

Pixovert Studio
Course Instructor

Rating Distribution

1 stars: 9 votes

2 stars: 6 votes

3 stars: 11 votes

4 stars: 31 votes

5 stars: 51 votes

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