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YouTube

AI Art Explained - How AI Generates Images

Jay Alammar via YouTube

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Overview

Dive into the inner workings of AI image generation models like Stable Diffusion, Midjourney, and DALLE in this comprehensive video tutorial. Explore the components of AI image generators, including text-to-image and image-to-image processes. Discover how reverse diffusion techniques create images from noise and learn about the training process involving diffusion and compression. Understand the crucial role of language models in image generation and how CLIP is trained on both text and images. Gain insights into guiding image generation with text prompts and grasp the fundamental concepts behind this cutting-edge technology.

Syllabus

Introduction
Text-to-image and image-to-image
The components of Stable Diffusion - high-level overview
The three models inside the AI Image Generator
Generating images with reverse diffusion
Images emerging from noise
How the model is trained. 1 - Diffusion
How the model is trained. 2 - Compression
The importance of language models for image generation
How CLIP is trained training on both text and images
Guiding image generation with text prompts
Conclusion

Taught by

Jay Alammar

Reviews

5.0 rating, based on 1 Class Central review

Start your review of AI Art Explained - How AI Generates Images

  • Profile image for Eric Moeszinger
    Eric Moeszinger
    Very well thought out and presented. I loved this presentation and learning a little bit about what makes these AI models tic on the inside.
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