Description
Master Course AI Image Generation Using Stable Diffusion. Image generation using artificial intelligence is a field that is gaining a lot of attention from both technology professionals and people from other fields who want to create their own custom images. The tools used for this purpose are based on advanced and modern techniques of machine learning and computer vision, which can help create new creations with high graphic quality. Creating new images is possible only by sending text descriptions: you ask artificial intelligence (AI) to create exactly the image you want! For example, you can text “cat is reading a book in space” and the AI will generate a visual description accordingly! This technology has gained a lot of attention in recent years and is set to gain popularity in the next few years. There are many tools available for this purpose, and one of the most widely used tools is Stable Diffusion developed by StabilityAI. It is open source, easy to use, fast and capable of generating high-quality images. Since it is open source, the developers have created many plugins that can create an infinite number of images in many different styles. In this course you will learn everything you need to create new images using Stable Diffusion and the Python programming language. See below what this training course is divided into six parts:
- Part 1: The basics of sustainable publishing: intuition about how the technology works and how the first images are created. You will learn the main parameters to achieve different results as well as how to create images with different styles
- Part 2: Rapid Engineering: You will learn how to send the right text so the AI can understand exactly what you want to build.
- Part 3: Training a custom model: How about placing your photos in the most different environments? In this section you will learn how to use your own images and create your own avatar
- Part 4: Image to Image: In addition to creating images by sending text, it is also possible to send images as a starting point for artificial intelligence to generate images.
- Part 5: Inpainting – Exchange Classes: You will learn how to edit images to remove objects or replace them. For example: remove the dog and put a cat in its place
- Part 6: ControlNet: In this part you will apply digital image processing techniques (edge and pose detection) to improve the results.
All implementations in Google Colab are done online and step-by-step with GPU, so you don’t need a powerful computer to get amazing results in seconds! Over 50 lessons and over 6 hours of videos!
What you will learn in the Master AI Image Generation using Stable Diffusion course
-
Understand the principles of static diffusion to create new images
-
Learn how to use static diffusion parameters to get different results
-
Create images using other models provided by the open source community
-
Learn the quick engineering of choosing the best keywords to create the best images
-
How to use negative information to show things that shouldn’t appear in images
-
Use fine-tuning to create your custom model to generate your images
-
Submit primary images for conditional image generation
-
Use inpainting to edit images, remove unwanted elements, or move objects
This course is suitable for those who
- People who want to learn how to draw pictures using artificial intelligence
- People who want to create their own avatar
- computer vision beginners
- Undergraduate and postgraduate students taking courses in computer vision, artificial intelligence, digital image processing, or computer graphics.
Master AI image generation using stable diffusion course specifications
- Publisher: Udemy
- Lecturer: Jones Granatire
- Training level: Beginner to advanced
- Training duration: 6 hours and 53 minutes
- No. of courses: 52
Titles of the Master AI Image Generation using Stable Diffusion course on 11/2023
Prerequisites of Master AI Image Generation using Stable Diffusion course
- Programming logic and Python basics are desirable but not required
- It is possible to follow the course even without technical skills
Course Images
Sample video of the course
installation Guide
After extract, watch with your favorite player.
Subtitles: none
Quality: 720p
download link
File Password: www.downloadly.ir
size
3.2 GB