Finally, a Beginner-Friendly ControlNet Demo!

ControlNet lets you "pose" AI subjects to better reflect your intended scenes. And now there's a free demo version that even a true beginner can use!

Happy Thursday, everyone!

Some of you may have already come across ControlNet, as it officially launched around February 11.

I know I did, and it looked pretty damn sweet!

But there was one issue: To use ControlNet, you’d have to either install Stable Diffusion locally or find a Google Colab.

Both of those require a bit of technical know-how. Since my Substack is aimed at complete beginners, that wouldn’t fly. It wouldn’t even walk, frankly.

But now there’s finally a demo out that lets even total noobs like us get a feel for what ControlNet is capable of.

Rejoice!

What is ControlNet?

ControlNet is the official implementation of this research paper on better ways to control diffusion models.

It’s basically an evolution of using starting images for Stable Diffusion and can create very precise “maps” for AI to use when generating its output.

So ControlNet can, say, take an iconic image like the Abbey Road…