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Want to learn Stable Diffusion AI? Take this course

Fast AI, Stable Diffusion image, otter in a hat and three piece suit
Image courtesy Fast AI

If you heard about the Stable Diffusion AI release and want to learn how to run it, this new course is for you. Fast.ai is running a course that can take you all the way through learning how to run Stable Diffusion.

“Three years ago we pioneered Deep Learning from the Foundations, an in depth course that started right from the foundations—implementing and GPU-optimising matrix multiplications and initialisations—and covered from scratch implementations of all the key applications of the fastai library,” Fast.ai says.

“This year, we’re going “from the foundations” again, but this time we’re going further. Much further! This time, we’re going all the way through to implementing the astounding Stable Diffusion algorithm.”

This course is for you if you want to learn:

  1. how to really use Stable Diffusion for creating original art
  2. learn key techniques in modern deep learning
  3. craft your own loss functions, initialization methods, multi-model mixups, and more.

How To Take the Stable Diffusion AI Course

Option one is to wait for a free course coming in 2023. Option two: sign up to join the virtual live course through Fast AI’s official academic partner, the University of Queensland (UQ). Let us know what you learn and show us what you create by tagging @croniclepress on social media!

September 28, 2022

About Author

laurakcowan Laura K. Cowan is a tech editor and journalist whose work has focused on promoting sustainability initiatives for automotive, green tech, and conscious living media outlets. A deep study of narrative journalism, storytelling and sustainable technology allows Ms. Cowan to draw out the meaningful stories of best practices from diverse professionals in an exploration of the culture and trends in emerging industries. She is currently Co-Founder and Executive Editor of Midwest tech news blog Cronicle Press. Ms. Cowan’s writing and speaking have appeared with Automobile Quarterly, Writer Unboxed, Inhabitat, CNBC, The Ann Arbor Observer, and The National Society of Newspaper Columnists.


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