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AI Art Explained - How AI Generates Images

Jay Alammar via YouTube

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Overview

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This course provides an accessible explanation of how AI image-generation systems such as Stable Diffusion work. It covers text-to-image and image-to-image generation, diffusion, compression, language and vision models, CLIP, and training with text prompts.

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 2 Class Central reviews

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

  • Profile image for João Ernesto Andrade Salvador
    João Ernesto Andrade Salvador
    Excelente experiência
    Sendo uma área técnica e bom para qualquer estudante em aprender, estes conteúdos.
    Estou ainda assimilar e recapitular os mesmos conteúdos.
  • 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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