All language subtitles for 1. What we do in the next Lectures

Let's take a quick look what we do over the next lectures to make sure that we have a good AI influencer

that looks similar in all pictures.

So first things first we use stable diffusion.

Stable diffusion is simply a diffusion model.

And in the next lecture we take a closer look what stable diffusion is.

And we use stable diffusion because it is entirely free.

There are a lot of options how to use stable diffusion.

There is Leonardo AI.

That's something I really, really like.

There are a lot of Colab notebooks.

They are a little bit tricky to use.

There's also comfy UI, there's automatic 1111.

Most of them are not that simple to use.

You need to install Python and so on.

But we will take the shortcut.

We will take cod because cod is what is in my mind one of the easiest ways to use stable diffusion.

Stable diffusion is simply the model that allows us to make our pictures so stable.

Diffusion is the diffusion model and Cod is simply the platform we will use Laura's, we will use seeds,

we will use checkpoints and and different models to make perfect pictures that look similar.

Like I said, if the pictures are not that perfect, we will use a technique that's called face swap.

We will use Google Colab to swap our faces, and after that process we will have consistent pictures.

They are nearly perfect after this.

So that's what we do over the next lectures.

First we take a look what exactly is stable diffusion.

So what is a diffusion model and how it works.

Then we take a closer look.

So what are Laura's, what are seeds, what are checkpoints.

And so on.

We make our pictures and we use perfect prompt engineering for our pictures.

We make our influencer in different environments.

And then the fun stuff begins.

Because after that we will use Google Colab and make some face swaps.

So have fun over the next lectures.

And first we take a closer look what stable diffusion exactly is and how the diffusion model works,

because we need this for the prompt engineering later.