Hello everyone, welcome to our course. This is a comprehensive, beginner-to-expert course focused on StableDiffusion. Whether you've had experience with AI image generation or used any AI image generation tools before, you can easily learn from this course.
Read more
Hello everyone, welcome to our course. This is a comprehensive, beginner-to-expert course focused on StableDiffusion. Whether you've had experience with AI image generation or used any AI image generation tools before, you can easily learn from this course.
Hello everyone, welcome to our course. This is a comprehensive, beginner-to-expert course focused on StableDiffusion. Whether you've had experience with AI image generation or used any AI image generation tools before, you can easily learn from this course.
I'll teach you how to use Google Colab to generate Stable Diffusion images. We'll explore a crucial concept—prompt, what it is, how it's structured, and how to create a good prompt. We'll start with the basics of prompt and progress to advanced prompts, learning about lighting, rendering, and special prompt techniques. Next, we'll dive into what StableDiffusion is and how to deploy it locally, learning about its features and some incredibly useful extension modules. We'll also learn how to use third-party models and train your own model. You'll be able to create characters in any pose, add realistic and adjustable lighting, create your own fashion models and swap their outfits, transform ordinary street scenes into cyberpunk-style artwork, generate exquisite interior designs from an empty room, quickly swamp character's faces, and use ChatGPT to help us create high-quality prompts, among many other valuable skills. By the end of this course, and with the proficient application of the techniques taught, you'll confidently create almost any artwork you can imagine and apply them to your projects.
Fasten your seatbelt and get ready. Let's get started.
What's inside
Learning objectives
- A systematic course to teach you how to write professional prompts and master the fundamentals of ai painting
- Acquire all the relevant skills to become an ai artist
- Control your character's pose, swap outfits, adjust lighting direction, and everything in your scene
- Transform ordinary streetscapes into cyberpunk masterpieces
- Create refined interior designs from simple sketches
- Train your own model
- Use chatgpt to work for you and greatly improve work efficiency
- A systematic course to teach you how to write professional prompts and master the fundamentals of ai painting
- Acquire all the relevant skills to become an ai artist
- Control your character's pose, swap outfits, adjust lighting direction, and everything in your scene
- Transform ordinary streetscapes into cyberpunk masterpieces
- Create refined interior designs from simple sketches
- Train your own model
- Use chatgpt to work for you and greatly improve work efficiency
Syllabus
Introduction
Course Overview
Your first AI Image
Congratulations on taking the first step in the world of AI art! This is your first lecture, and to ensure quick results, we're going to show you how to try out various AI image generation models for free. In the upcoming lectures, you will learn two ways to deploy Stable Diffusion in the cloud, and then finally, we'll get to local deployment for free, and how to troubleshoot any issues you may encounter along the way.
If you ever find that any of the links stop working, just send me a message, and I'll try to update it as soon as I can.
Read more
Syllabus
Congratulations on taking the first step in the world of AI art! This is your first lecture, and to ensure quick results, we're going to show you how to try out various AI image generation models for free. In the upcoming lectures, you will learn two ways to deploy Stable Diffusion in the cloud, and then finally, we'll get to local deployment for free, and how to troubleshoot any issues you may encounter along the way.
If you ever find that any of the links stop working, just send me a message, and I'll try to update it as soon as I can.
In this lecture, we're going to learn about a professional tool, which is also the main tool for this whole course. We'll start by showing you how to run it online, and then in section 4, we'll teach you how to install it locally for free.
If you encounter problems while using Colab, then the runpod introduced in this lecture will be a great alternative. I will show you how to run Stable Diffusion on runpod and demonstrate how to download other third-party models.
In this lecture, we're going to talk about how Diffusion models actually work. After this, you'll have a pretty good overview of the AI image generation process, which will help you learn faster and understand what all the different parts of the web UI do in later lectures. this is also setting the stage for the ComfyUI section we're going to add in the future.
If you understood the last lecture, then this image-to-image part will be really easy to grasp. These two lectures are very important, so don't skip them. If you're still confused about anything, feel free to send me a message : )
Before moving on, watch this video to get an overview of what's coming up. This will help you maximize your learning and get the most out of the course.
The prompt is one of the key elements at the heart of AI art. If you don't know how to write a proper prompt and simply resort to copying and pasting prompts from others, you might encounter several challenges on your journey to becoming an AI artist. As you may have heard, "Good Artists Copy; Great Artists Steal." AI art creation shares many similarities with traditional art, such as drawing inspiration, borrowing ideas, and most importantly-- practice.
While using the "git pull" command to keep the web UI up to date can be beneficial in terms of accessing new features and bug fixes, it's important to consider potential issues that might arise from new versions. Just like with the latest versions of Apple's iPhone software, there can be unforeseen bugs or compatibility issues.
We will talk about how to resolve some common issues encountered when deploying StableDiffusion locally.
If you find that the webui is generating images too slowly, or if you're encountering problems while deploying the webui, such as issues with git or python, you can use Forge, which we're introducing here, to solve these problems. This is because its one-click installation package already includes git and python. I hope this allows all of you to freely use Stable Diffusion to generate images!
After I finished recording this course, there was an update to the web UI of "Automatic1111." The interface now has some minor differences in appearance compared to what was covered in the course, but the core functionalities remain largely unchanged.
This lecture is mainly for those who have already used Stable Diffusion before. If you're a complete beginner, I recommend finishing the current section first before diving into this one. If you don't quite understand the VAE or Lightning model mentioned here, feel free to skip ahead and continue with the later content. I'll keep adding more lectures like this to help you learn more.
In this lecture we're going to use the flux model locally. Using the flux model is pretty similar to using regular Stable Diffusion models, it supports text-to-image, image-to-image, and inpainting. It's just that forge doesn't support controlnet for flux yet.
Introduce how to use online services and how to use newest SDXL base model and refiner model on Automatic1111, and compare the effect of refiner model.
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Reviews summary
Comprehensive stable diffusion ai art course
Instructor appears to update content regularly.
Covers wide range from beginner to pro levels.
Starts with basics, suitable for new users.
Focuses on hands-on art creation skills.
Activities
Review Fundamentals of Digital Art
Show steps
Reviewing digital art fundamentals will provide a solid foundation for understanding the artistic principles behind AI image generation, allowing for more informed prompt engineering and creative control.
Browse courses on
Art Theory
Show steps
-
Watch videos on color theory and composition.
-
Practice basic digital painting techniques.
-
Study examples of effective digital art.
Read 'The War of Art' by Steven Pressfield
Show steps
Reading 'The War of Art' will help students overcome creative blocks and develop the discipline needed to master AI art generation.
View
The Daily Pressfield
on Amazon
Show steps
-
Read the book and highlight key passages.
-
Reflect on how the concepts apply to your AI art journey.
-
Identify strategies for overcoming your own resistance.
Prompt Engineering Exercises
Show steps
Practicing prompt engineering will help students develop the skills to effectively communicate their artistic vision to the AI and achieve desired results.
Show steps
-
Experiment with different prompt structures.
-
Iterate on prompts to refine image outputs.
-
Analyze successful prompts from online communities.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Document Your AI Art Workflow
Show steps
Creating documentation will help students solidify their understanding of the Stable Diffusion workflow and identify areas for improvement.
Show steps
-
Record your process for generating an image.
-
Note the prompts, settings, and models used.
-
Reflect on what worked well and what could be improved.
AI Art Portfolio Project
Show steps
Starting a portfolio project will provide students with a tangible goal to work towards and showcase their skills to potential clients or employers.
Show steps
-
Define a theme or style for your portfolio.
-
Generate a series of images that fit the theme.
-
Curate and present your best work in a portfolio format.
Create a Custom LoRA Model
Show steps
Creating a custom LoRA model will allow students to fine-tune Stable Diffusion to generate images in a specific style or with specific characteristics.
Show steps
-
Gather a dataset of images for training.
-
Train a LoRA model using the dataset.
-
Test the LoRA model and refine it as needed.
Read 'Generative AI: The Insights You Need from Harvard Business Review'
Show steps
Reading this book will provide students with a broader understanding of the business implications of AI art and help them identify potential career paths.
View
Hbr's 10 Must Reads on Data Strategy
on Amazon
Show steps
-
Read the book and take notes on key insights.
-
Reflect on how these insights apply to your AI art goals.
-
Identify potential business opportunities in the AI art space.
Review Fundamentals of Digital Art
Show steps
Reviewing digital art fundamentals will provide a solid foundation for understanding the artistic principles behind AI image generation, allowing for more informed prompt engineering and creative control.
Browse courses on
Art Theory
Show steps
- Watch videos on color theory and composition.
- Practice basic digital painting techniques.
- Study examples of effective digital art.
Read 'The War of Art' by Steven Pressfield
Show steps
Reading 'The War of Art' will help students overcome creative blocks and develop the discipline needed to master AI art generation.
View
The Daily Pressfield
on Amazon
Show steps
- Read the book and highlight key passages.
- Reflect on how the concepts apply to your AI art journey.
- Identify strategies for overcoming your own resistance.
Prompt Engineering Exercises
Show steps
Practicing prompt engineering will help students develop the skills to effectively communicate their artistic vision to the AI and achieve desired results.
Show steps
- Experiment with different prompt structures.
- Iterate on prompts to refine image outputs.
- Analyze successful prompts from online communities.
Document Your AI Art Workflow
Show steps
Creating documentation will help students solidify their understanding of the Stable Diffusion workflow and identify areas for improvement.
Show steps
- Record your process for generating an image.
- Note the prompts, settings, and models used.
- Reflect on what worked well and what could be improved.
AI Art Portfolio Project
Show steps
Starting a portfolio project will provide students with a tangible goal to work towards and showcase their skills to potential clients or employers.
Show steps
- Define a theme or style for your portfolio.
- Generate a series of images that fit the theme.
- Curate and present your best work in a portfolio format.
Create a Custom LoRA Model
Show steps
Creating a custom LoRA model will allow students to fine-tune Stable Diffusion to generate images in a specific style or with specific characteristics.
Show steps
- Gather a dataset of images for training.
- Train a LoRA model using the dataset.
- Test the LoRA model and refine it as needed.
Read 'Generative AI: The Insights You Need from Harvard Business Review'
Show steps
Reading this book will provide students with a broader understanding of the business implications of AI art and help them identify potential career paths.
View
Hbr's 10 Must Reads on Data Strategy
on Amazon
Show steps
- Read the book and take notes on key insights.
- Reflect on how these insights apply to your AI art goals.
- Identify potential business opportunities in the AI art space.
Career center
AI Artist
AI Prompt Engineer
Digital Illustrator
Concept Artist
Content Creator
Game Artist
Visual Effects Artist
Graphic Designer
Fashion Designer
Marketing Creative
Art Director
Architectural Designer
Creative Director
Product Designer
Motion Graphics Designer
Reading list
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