Advanced Stable Diffusion, ComfyUI , FLUX, SDXL UPDATED 2026

Name: Advanced Stable Diffusion, ComfyUI , FLUX, SDXL UPDATED 2026
Rating: 4.1 (226 reviews)

Get Ahead in Design-related Generative AI with ComfyUI, SDXL and Stable Diffusion 1.5 and FLUX.1 Krea (dev)

Created byPixovert Studio

Last updated 4/2026

English

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

Course content

19 sections • 64 lectures • 7h 58m total length

Demonstration - The User Interface is in Your Mind1:58
A brief demonstration of the use of Stable Diffusion and ComfyUI that you can expect to learn on this course
Introduction6:19
Welcome to the course. Course outline and Adjacent Courses,
ComfyUI Cloud vs Local Setup: Managing Models, Templates, Workflows10:55
Purpose
This lecture serves as a conceptual orientation to the ComfyUI ecosystem, focusing on the practical differences between running ComfyUI locally and running it through cloud-based services.
Who it is for
Learners running ComfyUI locally, using Comfy Cloud, or evaluating cloud-based generative AI infrastructure.

Core technical focus
You will examine the structure of the ComfyUI Cloud interface, including the template system, workflow loading mechanisms, and model selection tools. The lecture also explains the importance of model libraries and introduces the concept of model curation for local installations with limited storage.
Key models and systems involved
Stable Diffusion 1.5
Stable Diffusion XL (SDXL)
Stable Diffusion 3.5
ComfyUI workflow templates
Cloud-based GPU infrastructure
Practical outcomes
By the end of the lecture you will understand:
How ComfyUI Cloud organizes templates and workflows
Why Stable Diffusion 1.5 remains an exceptionally important model ecosystem
How Comfy Cloud simplifies model access compared to local installs
How account tiers affect model importing capabilities
Strategic relevance
This foundational understanding ensures that learners can successfully follow the course regardless of whether they run ComfyUI locally or through cloud platforms
Using Juggernaut as an SDXL Style Model in Comfy Cloud2:33
Purpose of lecture
To introduce Juggernaut as the alternative SDXL model for learners who do not have access to DreamShaper in Comfy Cloud.
Who it is for
This lecture is for Comfy Cloud users, especially those on entry-level plans, who need a reliable SDXL model for prompt testing and style-focused image generation.
What you will build / fix / analyze
You will identify the correct checkpoint, understand how to load it into the relevant workflow, and analyze how it compares functionally to DreamShaper for upcoming style projects.
Why it matters technically
Model availability is often constrained by cloud account tier, so being able to substitute checkpoints without breaking workflow intent is an essential production skill.
Course Introductory Quiz

Fixing “Missing Resources” & Broken Links in AI Courses2:46
How rapid changes in generative AI lead to deprecation of resources, broken links, and student issues accessing models/content.
The course discusses what to do when resources disappear, the importance of reporting missing items, and how students can contact instructors for resolution.
Installation - Downloading ComfyUI for Stable Diffusion & Git for Windows6:01
This updated lecture provides answers to many questions.
Where to get key downloads needed for ComfyUI and Stable Diffusion 1.5, with an emphasis on safety.
Multiple options are provided for reliability. The same approach will be taken for the main Stable Diffusion model we shall use for this part of the course. Many options = better reliability.
Stable Diffusion Dreamshaper 8 - Download from TensorArt1:30
Download the main Stable Diffusion 1.5 model from recommended site: Tensor Art for a safe and diverse set of models. Rename the model to Dreamshaper_8.safetensor after download completes.
Many options = better reliability.
Stable Diffusion Dreamshaper 8 - Download from Civiti AI1:19
Download the main Stable Diffusion 1.5 model from recommended site: Civit AI for a safe and very large selection of models.
Many options = better reliability.
Installation - Installing ComfyUI to run Stable Diffusion8:12
Installation of the key software and setting up the Stable Diffusion models. This lecture is updated to assist with significant UI changes.
Customizing ComfyUI - Installing a Pinned Version of ComfyUI Manager8:45
ComfyUI has many powerful extensions that you can use to extend, organize, personalize and simplify the software to your hearts content. The powerful and versatile ComfyUI manager is presented here.
The lecture demonstrates how to install a pinned version of the manager for use during the remainder of the course.
ComfyUI Manager - An Introductory Tour8:10
A lightning tour of the capabilities of the ComfyUI Manager.
Working Alongside Automatic 1111 - Sharing Checkpoints and Other Models4:50
How to work with Automatic1111 if you are using this version of Stable Diffusion too.
Stable Diffusion XL

Working with Loras Stable Diffusion 1.512:22
Working with Lora models in Stable Diffusion 1.5
Working with Unorthodox Stable Diffusion SDXL Schemes9:37
A somewhat unorthodox two-stage workflow - non standard, but highly effective
Working with Loras - SDXL18:24
Working with standard new SDXL lora models in ComfyUI
Control-Loras SDXL - an Introduction18:01
Control-loras are a very new innovation - appearing in just the last week and they add a lot of fascinating abilities to SDXL.
Control-Loras SDXL - Depth Map5:47
Control-loras provide a simple and highly effective way of harnessing the power of ControlNets, without the slow downs in speed which sometimes plague ControlNets
Control-Loras SDXL - Recolor5:20
Understanding and using the Recolor Control-lora
Control-Loras SDXL - Sketch5:10
Understanding and using the Sketch Control-lora
Control-Loras SDXL - Remix and Revision7:41
Understanding and using the innovative and original Remix and Revision - lora.

ControlNets SDXL - Introduction6:47
SDXL requires different ControlNets from Stable Diffusion. This video demostrates how it works.
SDXL ControlNet Canny14:15
Understand the Canny ControlNet in SDXL.
SDXL ControlNet Depth Map4:45
Working with Depth maps in SDXL
ControlNets for Stable Diffusion 1.5 Introduction and Setup3:58
An Introduction to ControlNets in Stable Diffusion 1.5
ControlNet SD1.5 - Setup and Scribble, Lineart and Openpose10:59
Setup ControlNets for Scribble, Lineart and OpenPose in Stable Diffusion 1.5
SDXL and Stable Diffusion 1.5 - OpenPose Editor6:33
Getting started with OpenPose editor in ComfyUI
ControlNet Stable Diffusion 1.5 Using Multiple ControlNets4:14
How to use multiple stable diffusion controlnets in ComfyUI
ControlNets for Stable Diffusion 1.5 Depth Map Exercise10:09
Can you construct a depth map controlnet workflow from scratch? Use the starting json to test yourself. The solution (one solution) is show in the ending controlnet in lecture resources. The Zoe Midas Selector is a complete solution with the option to choose from different depth map preprocessors. Allow plenty of time for preprocessors to download and install on first use.

IP Adapters - An Introduction and First Setup9:39
Learn how ip adapters influence image generation in Stable Diffusion using comfy ui, including installing ip adapter models, selecting clip vision models, and using inspiration images to steer outputs.
IP Adapters - Understanding the role of Models7:22
A comprehensive exercise to introduce you to the qualities of IP Adapters in action.
IP Adapters - Discussion of Exercise and Interaction with Checkpoints7:48
Discussion of the previous exercise and getting a more in depth understanding of the IP Adapter models and how they work with the main checkpoints.
IP Adapters - Model Evaluation8:00
A largely analytical lecture exploring the interplay between different IP adapters and different main models.
IP Adaptors - Advanced Style Transfer12:21
Style transfer is a long established technique in artificial intelligence and in this lecture we look at a very advanced method of achieving style transfers

Requirements

An understanding of how to create simple and complex Stable Diffusion prompts
Either 1) A Windows PC with an Nvidia RTX Graphics card with at least 8GB of VRAM, or 2) An online service that permits COMPREHENSIVE use of ComfyUI
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

Description

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!

Who this course is 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
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
Learners who want to understand the evolution of the Stable Diffusion and ComfyUI ecosystems

Advanced Stable Diffusion, ComfyUI , FLUX, SDXL UPDATED 2026

What you'll learn

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Course content

Introduction4 lectures • 22min

Getting Started8 lectures • 42min

ComfyUI Workflow Fundamentals1 lecture • 12min

Managing Downloads of Large Model Files1 lecture • 3min

Working with Loras and Control Loras in SDXL and Stable Diffusion 1.58 lectures • 1hr 22min

Working with ControlNets8 lectures • 1hr 2min

Post Processing1 lecture • 19min

Working with T2I Adaptors and Understanding Auxiliary Downloads1 lecture • 3min

IP Adapters - AI Vision put to Intelligent Use5 lectures • 45min

Achieving Professional Results with Embeddings and 'Textual Inversions'1 lecture • 16min

Requirements

Description

Who this course is for: