Text-to-image generation explained

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Welcome to Hidden Layers - a series where we’ll show you how advanced ML algorithms from Google Research work in a way that’s easy to understand and accessible. In this episode, we get a behind-the-scenes look at how text-to-image models like Imagen and Parti operate. Watch this video to learn about the science behind these models and more!

Resources:

Chapters:
0:00 - Intro
0:40 - What is the science behind text-to-image models
2:23 - What is diffusion?
2:40 - What are the different architectures and approaches?
3:00 - What is an auto-regressive approach?
4:46 - What is the AI Test Kitchen?

  1. Google Research
  2. What are text-to-image models
  3. getting started with text-to-image models
  4. how to text-to-image models work
  5. science behind text-to-image models
  6. how does parti work
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Комментарии
Автор

Best explanation I’ve seen hands down. I’ll link to this in my next episode

sotasearcher
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Super excited for this series! Thanks Laurence and the Google Research team!

MakiVillano
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This is a mind-blowing video . I am lost for words. Thanks for it

gufrankanat
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This is an excellent overview of state-of-the-art text-to-image generation. I can’t wait for the next episodes of Hidden Layers.

I hope you will cover more generative AI topics.

kevinbuehler
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Great explanation. Much appreciated! :)

AnthonyTurnham
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Lets go, super excited for this. Lawrence for the win!

neelmishra
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Thank you for putting this together, very helpful 😃

GeorgeZoto
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AI Test Kitchen is not available in India. Please make it available.

itsachyutkrishna