Introduction to Diffusion Models

Introduction to Diffusion Models

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

5 Playgrounds

This course includes

5 Playgrounds
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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. ...Show More

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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