Stable Diffusion 101 : Beginner's Guide To Building AI Art
Stable Diffusion 101 : Beginner's Guide To Building AI Art, available at $64.99, has an average rating of 4.45, with 16 lectures, based on 26 reviews, and has 98 subscribers.
You will learn about Get a basic understanding of how AI Generation Tools Work Unlike using Midjourney or Dall-E, Learn to build on your personal tool and resources Learn how to create different styles by using publicly available models Learn how to customise a model with Dreambooth to create personal art pieces Learn more about the community and how to keep upto date with new developements This course is ideal for individuals who are Professionals looking to enhance their content like Digital Artists, Instagram Influencers etc. or Beginner Python Developers, Curious Engineers and Enthusiasts or People who like being part of a creative community It is particularly useful for Professionals looking to enhance their content like Digital Artists, Instagram Influencers etc. or Beginner Python Developers, Curious Engineers and Enthusiasts or People who like being part of a creative community.
Enroll now: Stable Diffusion 101 : Beginner's Guide To Building AI Art
Summary
Title: Stable Diffusion 101 : Beginner's Guide To Building AI Art
Price: $64.99
Average Rating: 4.45
Number of Lectures: 16
Number of Published Lectures: 16
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- Get a basic understanding of how AI Generation Tools Work
- Unlike using Midjourney or Dall-E, Learn to build on your personal tool and resources
- Learn how to create different styles by using publicly available models
- Learn how to customise a model with Dreambooth to create personal art pieces
- Learn more about the community and how to keep upto date with new developements
Who Should Attend
- Professionals looking to enhance their content like Digital Artists, Instagram Influencers etc.
- Beginner Python Developers, Curious Engineers and Enthusiasts
- People who like being part of a creative community
Target Audiences
- Professionals looking to enhance their content like Digital Artists, Instagram Influencers etc.
- Beginner Python Developers, Curious Engineers and Enthusiasts
- People who like being part of a creative community
During this course, we will explore the fascinating world of AI models in depth, with a particular focus on image generation. We will start by building a strong foundation of knowledge around the basics of AI models, including their history, development, and applications. From there, we will dive deeper into the specifics of AI image generation, learning how to use different publicly available models to create stunning pieces of art.
But that’s not all! We will also delve into the exciting process of building your own model using Stable Diffusion. Whether you want to create a model that mimics your unique art style or generates images based on your personal photos, we will guide you through the process of bringing your vision to life.
You will have the opportunity to work on several projects that will allow you to put your new skills into practice. These projects will range from basic image generation to more complex tasks, such as creating a model that generates images based on a particular theme or style.
A major aspect of this course is that everything used in the course will be on your personal accounts and personal workspaces. You will build the workflows in google colab, store the trained models in your google drive and be able to use them from there. This give you much more freedom and control than trying to use something based on subscriptions or payments. This is critical if you plan to use your personal photos in order to generate the art.
Finally, we will connect you with the larger digital art community, allowing you to share your work, get feedback from others, and discover new artists and techniques. By the end of this course, you will have developed a deep understanding of AI models and their applications, as well as a newfound appreciation for the beauty and power of digital art.
All Music Used In This Course Is Music by ComaStudio from Pixabay
Course Curriculum
Chapter 1: Introduction
Lecture 1: About Me
Lecture 2: What You'll Learn
Lecture 3: Who This Is For
Lecture 4: What You Can Do
Lecture 5: What You'll Need
Chapter 2: Basics And Setup
Lecture 1: The Basics
Lecture 2: Setting Up Google Colab And Hugging Face
Lecture 3: Building Your First Digital Art
Chapter 3: Controlling Stable Diffusion
Lecture 1: Learn To Configure The Settings
Lecture 2: Prompt Engineering
Lecture 3: Building A Piece Of Art : My Personal Process
Lecture 4: Loading Different Model Versions
Chapter 4: Building Your Own Model
Lecture 1: Building The Dataset
Lecture 2: Training Your Model
Lecture 3: Building Art With Your Custom Model
Chapter 5: Conclusion
Lecture 1: Congratulations!
Instructors
-
Vishal Prem
A Born Engineer With a Master's Degree In Big Data Analytics
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 5 votes
- 4 stars: 2 votes
- 5 stars: 18 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!
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