In this video, I want to condense as much
information as humanly possible on how to perform AI art generation using just an iPhone, an
iPad, or your Mac, and I want to cover everything from beginner to very advanced topics and make
it hopefully human understandable. We're going to be doing this using an entirely free-to-use
application called Draw Things. The first step is to open up the App Store and download Draw
Things. This application is 100% free and does not have any in-app purchases. It is available
for the iPhone, iPad, and even the Mac. Using any of these devices, you can follow this tutorial.
AI art generation is pretty CPU and GPU intensive, so for anyone using older devices, this may
or may not work. If you are one of the people who actually watched my previous video on AI,
I'm going to cover a lot of the same stuff, but there are some new things. I'll interrupt
myself and skip to the 13-minute mark. I will be using an iPad Pro with the M2 processor.
Pretty much everything you'll see me do, you can replicate on your iPhone, as this application is
fully functional on an iPhone. The user interface on the iPhone will look a little different because
of the constraints of having a smaller screen. The macOS version looks almost identical to the iPad
version. It, of course, has the advantages of a proper file system, so you can import files
easier, and there's a lot more screen space. This video makes use of chapters, so you can
re-reference parts or skip around. Running AI programs is a good way to drain your battery. Oh
high, I hope I said their brand right, they sent me over one of their Gan chargers. They're not
paying me for anything; they just gave me this unit for free and asked if I liked it. Would I
please feature it in one of my videos? So here we are. I haven't had a video where it made more
sense to mention this. I like it because it's smaller than my other 140 W Gan charger. There's
a link in the description if you're curious, and I don't get any money or commission either.
When you first launch the application, you will need to download what is known as a model. If you
click on the model, you'll see quite a few models available, but what we want is to start with SDXL
Refiner. While this downloads, let's talk about what we're downloading because this is really
important, and I don't want to bog down this video with a bunch of boring explanations, but this is
really important stuff. Draw Things is a frontend, or a graphical user interface, for Stable
Diffusion. A model in machine learning, such as Stable Diffusion, is a trained neural
network that has learned to generate images by analyzing extensive sets of images and
text. To translate this back into human, each model uses different source images and
text. Some people create different models based on art styles or content. Some of them are
really good at people, some are general-purpose, some are really good at meme-making, different
styles of illustrations, and some are photorealistic. They also vary quite a bit in
quality. SDXL Refiners is by Stability AI, the people who created Stable Diffusion, and it's very
general-purpose and generally pretty high quality. Okay, we are now done with the boring lecture
part. I hope you have a vague idea of what models are because we're going to be doing
some really cool stuff with them later. Also, you do not need an active internet connection
once you've downloaded the models. Back to Stable Diffusion, right now, the interface looks
kind of confusing, but we can see that there's a default prompt. The text on the screen, the
prompt, is the thing we'd like to see. Right now, the default prompt says, "A samurai walking
towards a mountain, 4K, highly detailed, sharp focus, grayscale." Let's just click generate
and see what we get. This will take some time, so I'm going to fast-forward to the end result.
That's actually a pretty amazing image, honestly. We could continue to use this same prompt and
generate more images that would be similar in nature. If we were to change the prompt,
it would change the content of the images that it's rendering. To reiterate that, if you
type something in and hit generate, it'll spit out an image. That's pretty simple, so let's do
something a lot more advanced. Since we are just talking about models, let's download a different
one. This is done by tapping the model name to bring up the menu. I'm going to scroll down and
download "Realistic Vision version 3." Realistic Vision focuses on rendering images of humans.
Let's skip ahead, and it's downloaded. Now, let's generate an image with the same prompt
again. We got another pretty good image. Now, let's try adding a negative prompt.
Prompts are the results you want to see, and negative prompts are the results you don't
want to see. Pretty easy. Let's try adding some negative prompts to this. I've given it slightly
contradictory information here. I'm asking it to make a person walk towards the mountain
but not face away from the camera. Also, let's remove grayscale. Plus, I'll refine this
just a little bit more. Let's click generate, and the end result is, well, it's not as
cool as the original. It's time to refine this prompt a little more. I want this guy
to be closer up in the frame, so let's say photorealistic and from the waist up. Also, I'd
like it to generate two images instead of one, so let's change that in the right-hand corner.
Let's click generate and skip ahead in time. Inpainting lets us fill in missing pieces to an
image, however, you need an inpainting model, so let's download one. I hope they change this
in future versions of Draw Things, but right now, the grid layout is worthless. I can't read the
full file names, so let's switch to list view and search for the inpainting. This is still not
perfect, but at least now we can see 1.5 versus 2.0. By the time you watch this, some of these
version numbers may have changed, so just keep that in mind. Usually, the newest version is the
best, so I'm going to download the 2.0 version. Draw Things has a few basic image editing
options, and one of them is the erase tool. Click on it and let's erase this guy's face.
Now that I've completely erased his face, it's time to adjust the strength. I could put
this at 100%, and it'd probably do a reasonable job of filling in this guy's head. I am going
to adjust this to 90% because I want it to look somewhat like our samurai. One last step, I'm
going to adjust the text guidance. The on-screen description is a very good explanation. The higher
the text guidance value, the more it will try and follow your prompt. If you want to know more
about it, there's a fantastic article on GetIMG. It can't always do a perfect job. Some models
have inpainting versions, so you can download the matching inpainting version and have much
better results. In this next section, we're going to try to incorporate real-world photos that we've
already taken. I have a picture of my cat, Jeff, in Pixelmator on my iPad, and I'm going to remove
some unwanted stuff from this image. Now that I've saved it, let's import it into Draw Things.
First, let's click the new page to create a new canvas, then click the camera icon so we can
import Jeff's photo from our photo library. I'm going to speed through switching the model,
typing up a description, resizing the image, and then setting the strength to 70%. Now
it's time to finally talk about steps. Get img.src: Time over time, Stable Diffusion
improves the image, but there is a law of diminishing returns. This interactive graphic
explains this better than I can do with words. Get IMG recommends roughly 25 steps. This number
of steps is generally a good balance between quality and time. Each step is essentially
a refinement of the image. The more steps, the more refined the image becomes. However,
after a certain point, the improvements become less noticeable, and you reach a point where
additional steps may not significantly enhance the image. It's important to experiment with
the number of steps to find the sweet spot for your specific image and desired outcome.
I'm going to lower mine to 28. Let's speed through a few more last-second updates, and now
we're ready to generate. While it's not Jeff, it definitely took some inspiration from
him. Now, I like this image, but I wish it just wasn't square. Well, we can fix that.
If you notice when we zoom out, there's still the carpet background from the previous image. I
could use the eraser tool, but it's just easier if I save this image and start a new canvas.
So, let's re-import the generated image. As we previously explored with the samurai, the
inpainting will paint in the missing pieces of the image. Let's resize the image and move back to
inpaint as our model. On second thought, I think I'm going to change the image size just a bit.
I decided to off-center this image slightly so it would render more to the left of the cat. The
final step is to change the strength back to 100%, which might seem counterintuitive, but watch the
results. The results are actually pretty good, except for there's a line in both the images.
I've zoomed in so you can really see it. Since I'm rendering all my images to my iPad,
I can go into a program like Pixelmator and open up the image and start touching it up. In
Pixelmator, I can use tools like the heal tool to remove the line, use the sharpen tool to give
the face a little more detail, and then even go through with the warp tool and give the cat a
bit of a tummy tuck, since this is kind of a weird render. The end result is impressive,
although the cat only has three toes now. Let's revisit models once again, but this
time we're going to download models that aren't included in Draw Things off the internet.
If we click the models, we can then click manage. Realistic Vision 3.0, I know for a fact, has a
later version. I'm going to delete the Realistic Vision 3.0 by clicking the trash can. There are
a lot of options when importing models into Draw Things, and that's unfortunately just a quirk of
Stable Diffusion. I'm not going to go into all of these because it gets really complicated, but just
be aware, some models do require tweaking these settings. The thing we're most interested
in is "Downloaded File." If we click it, we can enter a URL to a model.
Let's cancel out of this and go to Safari. Probably the most popular host
of AI models is Hugging Face's Model Hub or another similar platform. I'm not sure how
it's said. From this website, we will search for Realistic Vision. This particular model is
right now version 6.0 beta 1, and if you notice, it also has an inpainting version, but for this
video, we're just going to download version 6. We will do this by clicking the download icon
and then copying the link. For the Mac users, you can just download this file. Now, let's
switch back to Draw Things. We will click "Enter URL" and paste the URL, click continue, and
it'll start downloading. Depending on the model, Draw Things might download supporting files.
Realistic Vision is pretty good at people, so let's just do a quick one of a woman reading a
book in a coffee shop at night, and it's peaceful. The results are pretty good until you look at
the cursed AI hands; it's just a thing with AI. Speaking of cursed, let me draw a not-so-good
picture of my cat Jeff very quickly on my iPad. To my defense, I purposely wanted a bad drawing
for this demo. If I go back to Draw Things, I can import this image, then using one
of the models I already have downloaded, I can then use this as a source image to
generate a new image. After refining my prompt just a little bit and changing the strength
to 80%, I got a pretty good result. There are some striking similarities here because it is
mimicking the pose in this on a flat background. iOS, macOS, and iPadOS all have the ability to
lift objects out of photos. I've already imported my cat Jeff, and we're using the inpainting model.
Apple's ability to lift objects out of photos is impressive, but it's not perfect; it has some
weird edges. So, to correct for this, I'm going to do something that might seem counterintuitive.
I'm going to erase the entire image, then I'm going to scroll down and set the strength to about
25%. The Inpainting 2.0 model isn't that great, but we could always download a different one
and see if we could find one that would produce better results. Maybe we could put the cat
in a better sci-fi background, and probably we'd tweak this strength to be even lower.
Now for our final main topic, and that's LORA or Low Order Rank Adaptation. Think of these
as like expansion packs for Stable Diffusion. LORAs can contain quite a bit of different stuff
like characters, poses, or visual effects. Also, generally speaking, they are a lot smaller than
models. I know of one that's really cool that works with Realistic Vision, and we already
have version 6.0 downloaded. The process is pretty much exactly the same as importing a model.
We are going to go back to the website civa AI, search for Vector illustration, and go to that
LORA. I'm going to copy the URL and then go back to Draw Things and import it by clicking manage
next to the LORA. Mac users again get off easy; they just click download and then can import
the downloaded file. Once it has downloaded, we will click import. Often LORAs need trigger
words. This one is Vector illustration, but if for some reason we forgot it, we can go
back to the website. If I click the info button, I can see the prompts used to generate this
really sweet monster truck. Note the use of the word Vector illustration. I'd like to
see a vector illustration of a palm tree, so we're going to use the prompts Vector
illustration and palm tree. Note that I have the LORA weight set to 100%. When using LORAs,
you have to pay attention to the documentation. Some will recommend settings of like 60% for the
best results. Some have multiple trigger words to produce different types of images. Some were
designed to work really well with a certain model, like this one was trained on Realistic
Vision. The results are pretty cool. There is a lot of trial and error. I tried to
generate pictures of the Oregon coast in Vector art style. Some still came out as photos, and some
did not. There are some topics I didn't touch on, like Samplers, and there's an amazing article
all about the Samplers and how it affects the image quality at stable diffusion art.
If you haven't put it together by now, a lot of those scammy apps on the Mac App Store,
iOS store, and iPad store that let you generate AI images are just using Stable Diffusion. I'm
debating making a full-fledged course on this, but it wouldn't fit under this channel, but I
do have my Patreon, and I could also put it on Udemy or something. That way, people could really
dive in with me because there are a lot of topics I didn't cover, like Control Nets or even making
your own LORAs and training, because this program goes deep. If that's of interest, just let me
know in the comments. And I think that's it.
