-: All right, Stable Diffusion.
What is it good at, what is it bad at?
So the really interesting thing about stable
diffusion is that it's open source.
So I think that that's been a real benefit.
A lot of people have innovated on top of it
and figured out interesting ways to use it.
So you do have to use a GPU graphics card to run it,
but you can actually do that in the cloud,
which is pretty cheap.
Or for free, actually, in Google Colab.
So it's a great way to learn, or if you have an M1 Mac
or M2 Mac, that you can do that as well.
You can use negative prompts, which is helpful.
I think it gives you a bit more control flexibility,
so you can kind of, in this case,
we've got a photograph of astronaut riding a horse,
but we don't want 'em to be in space.
There's also classifier free guidance
that kind of chooses how much the prompt matches,
how much the image matches the prompt,
how creative the AI can be, essentially.
But the really cool thing, I think is Dreambooth.
So that's the ability to train the AI on some concept
or person, like this is a picture of me,
but generated by AI.
I think this is like the most advanced,
like futuristic thing that AI can do at the minute.
It's really cool.
There's some limitations though.
I think technical ability is a big one.
You really have to know how to code
to mess around with this.
I think otherwise you're gonna get confused pretty quickly.
It also takes like a long time to run.
So unless you have powerful computer,
it's gonna be like really difficult for you
to iterate or kind of change anything about it.
Also, runs into problems with faces and hands.
So here's a few generations I've made
where I've run into issues,
although I think fine tuning the model,
like using Dreambooth has definitely helped.
So there's some people have made custom models
that are really good at stock photos, for example.
There's also kind of questionable provenance.
So it's like, initially, it kind of came out
as part of Stability AI,
but then it was actually built by Runway,
which is another AI company.
But it was kind of funded by Stability AI.
But then it was also a team from from Germany,
the LMU Munich.
So I think there were actually some issues
where the model got taken down
from the face for a while
because it was fighting IP breach.
But yeah, I mean, I think it's probably all sorted out
now, but definitely, it's not as clear
in terms of who owns it
and who's responsible for improving it.
But otherwise, I think Stable Diffusion
is really the only AI art tool
that you could really build your business on.
Because it's open source,
you don't need to worry about them blocking anything, right?
Like you can run it on your own computer
and then you can modify it the way that you want.
You can fine tune it with Dreambooth.
So I think that this has got the most commercial value out
of any of the AI models.