Master AI Image Generation using Stable Diffusion

Master AI Image Generation using Stable Diffusion
Published 6/2023
Duration: 6h 53m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.52 GB

What you’ll learn
Understand the basic of Stable Diffusion to create new images
Learn how to use Stable Diffusion parameters to get different results
Create images using other models provided by the Open Source community
Learn about Prompt Engineering to choose the best keywords to generate the best images
How to use negative prompts to indicate what should not appear in the images
Use fine-tuning to create your custom model to generate your own images
Send initial images to condition image generation
Use inpainting to edit images, remove unwanted elements or swap objects
Requirements
Programming logic and Python basics are desirable but not required
It is possible to follow the course without having technological skills
Description
: Intuition on how the technology works and how to create the first images. You will also learn about the main parameters to get different results, as well as how to create images with different styles
: You will learn how to send the proper texts so the AI understands exactly what you want to generate
: How about putting your own photos in the most different environments? In this section you will learn how to use your own images and generate your avatars
: You will learn how to edit images to remove objects or swap them. For example: remove the dog and replace it with a cat
: In this section you will implement digital image processing techniques (edge and pose detection) to improve the results
All implementations will be done step by step in Google Colab online with GPU, so you don’t need a powerful computer to get amazing results in a matter of seconds! More than 50 lessons and more than 6 hours of videos!
Who this course is for:
People who want to create their own avatars
Beginners in Computer Vision
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