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Stable Diffusion 101 : Beginner's Guide To Building AI Art
Rating: 4.5 out of 5(27 ratings)
106 students

Stable Diffusion 101 : Beginner's Guide To Building AI Art

Learn to build and control this game changing technology to become an AI art wizard
Created byVishal Prem
Last updated 4/2023
English
English [Auto],

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

Course content

5 sections • 16 lectures • 1h 12m total length

  • About Me1:06

    Meet Vishal Prem, a software engineer with expertise in designing and developing applications, big data analytics, and machine learning, who champions accessible artificial intelligence for solving real problems.

  • What You'll Learn2:07

    Explore models and image generation with stable diffusion, master prompt engineering, build your own model in Colab and Drive, and connect with the digital art community.

  • Who This Is For1:26

    Digital artists learn the basics of models and how AI art can elevate their work, even without coding experience. Discover how the technology behind AI art creates unique, innovative pieces.

  • What You Can Do0:57

    Develop your creative expression by making posters, concept art, and gifts. Build an online art portfolio and enhance your Instagram photos while applying design principles through hands-on projects.

  • What You'll Need0:55

    Prepare essential tools: a competent computer with internet, 5–10 GB on Google Drive, a free Hugging Face account created during the course, and a willingness to learn about artificial intelligence.

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

Who this course is for:

  • 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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