Advanced Stable Diffusion with ComfyUI and SDXL

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Pixovert Studio

4:23:04

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1. Introduction

1. Demonstration.mp4

02:27

2.1 How to ask questions on Udemy.html

2. Introduction.mp4

01:55

2. Getting Started

1.1 ComfyUI at Github.html

1.2 Dreamshaper at CivitAI.html

1.3 Official Runway Stable Diffusion 1.5.html

1.4 Stability AI models.html

1.5 Stability AI SDXL Resources.html

1. Installation - Installing the ComfyUI version of Stable Diffusion.mp4

16:11

2.1 Download the Manager.html

2. ComfyUI - Manager and Course Extensions.mp4

14:24

3. Working Alongside Automatic 1111 - Sharing Checkpoints and Other Models.mp4

04:50

3. ComfyUI Workflow Fundamentals

1.1 tut-cyborg girl in city.zip

1. Basic Workflows and Prompts - Stable Diffusion 1.5.mp4

14:44

4. Working with Loras and Control Loras in SDXL and Stable Diffusion 1.5

1.1 Pirate Punk.html

1.2 tut-piratelorasd15.zip

1. Working with Loras Stable Diffusion 1.5.mp4

13:39

2.1 tut-girlfrommirror.zip

2. Working with Unorthodox Stable Diffusion SDXL Schemes.mp4

09:37

3.1 Control-LoRA Model Card.html

3.2 Papercut Lora.html

3.3 tutbronzeclock-paperend.zip

3. Working with Loras - SDXL.mp4

21:46

4.1 Control-LoRA Model Card.html

4.2 tut-contlora-cleopatra.zip

4. Control-Loras SDXL - an Introduction.mp4

21:58

5.1 tut-contlora-depth-queen-end.zip

5. Control-Loras SDXL - Depth Map.mp4

05:47

6. Control-Loras SDXL - Recolor.mp4

05:20

7.1 tut-contlora-sketch-end.zip

7. Control-Loras SDXL - Sketch.mp4

05:10

8.1 tut-contlora-revision-remix.zip

8.2 tut-contlora-revision-simple.zip

8. Control-Loras SDXL - Remix and Revision.mp4

07:41

5. Working with ControlNets

1.1 Growing List of SDXL Controlnets at Huggingface.html

1.2 tut-controlnet-standard-sdxl.zip

1. ControlNets SDXL - Introduction.mp4

06:47

2. SDXL ControlNet Canny.mp4

16:34

3.1 tut-controlnet-depthmap-fs.zip

3. SDXL ControlNet Depth Map.mp4

04:45

4.1 ControlNets at Hugging Face.html

4.2 Try Out Canva.html

4. ControlNets for Stable Diffusion 1.5 Introduction and Setup.mp4

03:58

5.1 ControlNets at Hugging Face.html

5.2 tut-controlnet-15-lineart.zip

5.3 tut-controlnet-15-scribble.zip

5.4 tut-openpose-complex-sd15.zip

5. ControlNet SD1.5 - Setup and Scribble, Lineart and Openpose.mp4

10:59

6.1 tut-controlnet-openposeedit.zip

6. SDXL and Stable Diffusion 1.5 - OpenPose Editor.mp4

06:33

7.1 tut-using-two-controlnets.zip

7. ControlNet Stable Diffusion 1.5 Using Multiple ControlNets.mp4

04:14

8.1 tut-controlnet-depthmap-exerciseend.zip

8.2 tut-controlnet-depthmap-exercisestart.zip

8. ControlNets for Stable Diffusion 1.5 Depth Map Exercise.mp4

15:23

6. Post Processing

1.1 Bad dream and unrealistic dream (negative embeddings).html

1.2 Princess style embed.html

1.3 tut-latent-and-model-upscale.zip

1. Super Resolution using Latent Upscale and Generative Adverserial Networks.mp4

23:51

7. Working with T2I Adaptors and Understanding Auxiliary Downloads

1.1 TencentARCs T2I-Adapters at Hugging Face.html

1. T2i Adaptors for SDXL and Stable Diffusion 1.5 Introduction - Depth Map.mp4

06:14

2. Auxiliary ControlNet Downloads in Stable Diffusion.mp4

02:39

8. Achieving Professional Results with Embeddings and Textual Inversions

1. Embeddings and Textual Inversions in ComfyUI for SDXL and Stable Diffusion 1.5.mp4

15:38

Description

Get Ahead in Design-related Generative AI with ComfyUI, SDXL and Stable Diffusion 1.5

What You'll 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

Who is this 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

What You Need to Know?

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

More details

Description
This is an advanced Stable 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 donâ€™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.

Donâ€™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

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Pixovert Studio

Instructor's Courses

Pixovert specialises in online tutorials, providing courses in creative software and has provided training to millions of viewers. Subject matter includes Canva, the Adobe Creative Cloud – Photoshop, Premiere Pro, After Effects and Lightroom. In addition to this Pixovert covers photography and design related content including Gimp and Darktable, and advice for professions in the creative fields.

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