This course provides theoretical and hands-on expertise in creating images from noise using stable diffusion models and the Diffusers library.
Beginner
11 Lessons
2h
Certificate of Completion
This course provides theoretical and hands-on expertise in creating images from noise using stable diffusion models and the Diffusers library.
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This course includes
This course includes
Course Overview
In this course, you’ll gain practical insight into the theoretical concepts associated with diffusion models, complemented by hands-on expertise in creating images from noise and training neural networks for effective image sampling. You’ll start with the introduction to generative models, specifically focusing on how diffusion models fall under this category. You’ll dive deep into the intricacies of diffusion models, exploring their workings, architecture, and the theoretical foundations supporting them. ...
TAKEAWAY SKILLS
Artificial Intelligence
Transformer Models
Modeling And Simulation
Image Manipulation
What You'll Learn
An understanding of the fundamental concepts and principles underlying diffusion models
Working knowledge of theoretical concepts associated with diffusion models
Hands-on experience in leveraging state-of-the-art diffusion models available to perform various tasks using the Diffusers library
Working knowledge of how diffusion models work, their needs, and benefits
Hands-on experience in image generation, neural network training, and sampling
What You'll Learn
An understanding of the fundamental concepts and principles underlying diffusion models
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Course Content
Course Overview
Getting Started
Image Creation from Scratch
Wrapping Up
Appendix
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