Introduction To Diffusion Models

Diffusion Models from scratch using PyToch | In depth break down of Stable Diffusion and DALL·E 2

What you'll learn
How Diffusion Models work
Implementation of Diffusion Models from scratch using PyTorch
In depth understanding of inpainting with Diffusion Models
Deep analysis of Stable Diffusion: opening the black box
Making great animations with Diffusion Models
Review of impactful research papers

Requirements
Basic programming knowledge
Basic Machine Learning knowledge

Description
Welcome to this course on Diffusion Models! This course delves into the fascinating world of diffusion models, starting from the initial research paper and advancing to cutting-edge applications such as image generation, inpainting, animations, and more. By combining a theoretical approach, and hands-on implementation using PyTorch, this course will equip you with the knowledge and expertise needed to excel in this exciting field of Generative AI. Why choose this Diffusion Models Course?From Theory to Practice: This course begins by dissecting the initial research paper on diffusion models, explaining the concepts and techniques from scratch. Once you have gained a deep understanding of the underlying principles, we will reproduce results from the initial diffusion model paper, from scratch, using PyTorch. Advanced Image Generation: Building upon the foundational knowledge, we will dive into advanced techniques for image generation using diffusion models. Inpainting and DALL-E-like Applications: Discover how diffusion models can be used for inpainting, enabling you to fill in missing or damaged parts of images with stunning accuracy. After this session, you will have a deep understanding of how inpainting works with models such as Stable Diffusion or DALL-E, and you will have the knowledge needed to modify it to your needs. Animation Mastery: Unleash your creativity and learn how to create captivating animations using diffusion models. Dive into Stable Diffusion: Gain an in-depth understanding of Stable Diffusion and its inner workings by reviewing and analyzing the source code. This will empower you to utilize Stable Diffusion effectively in your own industrial and research projects, beyond just using the API. Stay Informed with Impactful Research: Stay up to date with the latest advancements in diffusion models by reviewing impactful research papers. Gain insights into the cutting-edge techniques and applications driving the field forward, and expand your knowledge to stay ahead of the curve. Register now to access our comprehensive online course on Diffusion Models and learn how this technology can enhance your projects. Don’t miss this opportunity to learn about the latest advances in Generative AI with Diffusion Models!Register now to access our comprehensive online course on Diffusion Models and learn how this technology can enhance your projects. Don’t miss this opportunity to learn about the latest advances in Generative AI with Diffusion Models!

Who this course is for:
To engineers and programmers,To students and researchers,To entrepreneurs, CEOs and CTOs,Machine Learning enthusiast