-: Hey, let's talk about DALL-E3's
capabilities and limitations.
So first, the capabilities.
One thing it's really good at is...
rephrase.
One thing it's really good at is,
that you can talk to the model directly
or you can ask it to change certain things
about the image, it's gonna rewrite the prompt
and then regenerate the image.
So quite useful for iterating in natural language.
Makes it much more accessible.
It also has inpainting, so you can select certain
parts of the image and just prompt for those,
and that makes it much easier, if you already
have an image you like, you can improve it,
which is really helpful.
Finally, you have access via an API.
You can call DALL-E programmatically, and that
helps you scale some of the use cases you need.
The limitations are that it has limited functionality,
like none of these things are possible.
You don't have weighted terms,
you don't have any control over the parameters.
You don't have a way to fine tune it.
Like for example, this is an image from
Simple Diffusion where I fine tuned it on my face.
It could make a picture of me.
You can't do any of that in DALL-E.
The other thing that I don't really like about it,
is it tends to make the images more cartoony.
It can try and do realism, but it doesn't do
a very good job of it compared
to Stable Diffusion or Midjourney.
The other big problem, this is what a lot of people
see, is that the content moderation is excessive.
You can't create images of public figures.
You can't use artists that appeared
in the past 100 years.
So it really limits what you can do with the model.
But overall, it's a very good model.
It's very good at specifically placing
different objects, different parts of the image.
It seems to understand a little bit more how
to place text in image as well.
But because of the limitations,
I don't know anyone who's seriously using
it in production for anything important.