Stable Diffusion 101 : Beginner'S Guide To Building Ai Art
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 689.82 MB | Duration: 1h 12m
Learn to build and control this game changing technology to become an AI art wizard[/center]
What you'll 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
Requirements
No Programming Experience Needed
High End Laptops Are Definitely Not Needed
A Google Drive Account With At Least 5GB Of Space
Description
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
Overview
Section 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
Section 2: Basics And Setup
Lecture 6 The Basics
Lecture 7 Setting Up Google Colab And Hugging Face
Lecture 8 Building Your First Digital Art
Section 3: Controlling Stable Diffusion
Lecture 9 Learn To Configure The Settings
Lecture 10 Prompt Engineering
Lecture 11 Building A Piece Of Art : My Personal Process
Lecture 12 Loading Different Model Versions
Section 4: Building Your Own Model
Lecture 13 Building The Dataset
Lecture 14 Training Your Model
Lecture 15 Building Art With Your Custom Model
Section 5: Conclusion
Lecture 16 Congratulations!
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
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