Monday, March 13, 2023

A Complete Guide to Stable Diffusion for Generative AI

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Hello trend,

This is Satya Mallick from LearnOpenCV.com.

Today's blog post is about Stable Diffusion!

Stable Diffusion is one of the most influential models in Generative AI landscape as well as AI in general. In this blog post, you will learn the details of Stable Diffusion architecture, how it is trained and its applications.

Find out more in the blog post:

Generative AI is the next Big Thing.

The course on Generative AI Art will help you understand the most important tools and techniques for working with Generative AI in Computer Vision. It covers a wide variety of concepts including(but not limited to):

  • Fundamentals of producing AI art: Get a strong understanding of the basics of AI-generated art, and learn how to use the tools and techniques to create your own unique pieces.
  • Prompt engineering: Discover the art and science of crafting prompts that bring out the best in your models and generate stunning creatives. You will learn about negative prompts and the plethora of options available in the tools to generate exactly what you imagine.
  • Model fine-tuning: Learn how to insert your own characters, styles, and objects into your models, and fine-tune them to get the exact results you want using DreamBooth, LoRA, Textual Inversion, and more.
  • Image editing: Know the controlled editing techniques by using available tools to refine and get a perfect output. Like creating a virtual try-on app or a virtual interior designer or a virtual make-up artist.
  • Animating your images: Learn the fundamentals of animating your images, and take your art to the next level.
  • Building your own models: Using Stable Diffusion create your own applications. For example, generating characters for a new movie, creating avatars for yourself or your clients, etc.

Why buy now?

This special Kickstarter deal will never be available again and it's ending soon.

Don't have the time to work on the courses when they launch? You do not have to start a course immediately after its launch. You can decide to start at a later date as you have lifetime access to the course!

If you have any other concerns, just right to us and we'll try to resolve it in the best possible manner.

Cheers,

Satya

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