Heres A Hornless Thots To Guide You Through A Quick Walkthrough Of My Three Favorite Big Hat Styles~

here’s a hornless Thots to guide you through a quick walkthrough of my three favorite Big Hat Styles~ it’s not comprehensive but I hope it’s easy to follow ;u; you can spice it up with More Wobbles or different brim shapes/sizes afterwards!

Varying Your Body Types

By me, Sara D. (Heh.)

I think it’s very important for artists to vary the types of bodies they draw! Not only does it add visual interest and diversity, but different body types can enhance your characters! (Plus it’s more realistic; when was the last time you walked down the street and everyone had the same body type?) I know I have a hard time drawing different bodies, especially with men, so I’m making this tutorial to teach myself as well (I’ve heard the best way to cement learning something is to teach someone else).

So! Bodies! I’m going to use women for this tutorial because I feel they have more variety in their bodies. One of the most obvious ways bodies differ is in their amount of fat.

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On average, people store fat mostly in core areas like the bust, the waist, and the hips. It is important to remember that people gain and lose weight differently, and this is true no matter how fat or skinny one gets. However, these are common places people store fat:

The face and neck can be immediate indicators as to how much fat the rest of the body has; when someone loses or gains weight, it’s initially obvious in the face. This is possibly because the eye is (usually) drawn first to the face.

In addition to differences in the amount of body fat, bodies vary vastly in their proportions. The two main ways they differ is skeletally and in fat distribution. The hip to shoulder ratio is skeletal, and someone with wider shoulders might look more powerful or masculine, and someone with wider hips might look more grounded or feminine.

The torso to legs ratio is also a skeletal ratio. Someone with long legs in comparison with their torso might look taller than someone of the same height with a long torso, and they might also look skinnier.

(I say as I finally get some visual variety all up in here.)

Because the hips are also one of the places with the most weight gain in women, large hips can also be a matter of fat distribution. The three main places where the fat ratio really matters is in the bust, the waist and the hips (making up the core of the body).

While men usually carry weight in the belly area, the fat distribution can really vary with women. Some women carry more weight in the bust, some in the belly, and some in the hips/thighs. Some women carry more weight in two areas, like the bust and the hips, the bust and the belly, or the belly and the hips. Some women show no obvious bias to any area and carry weight equally.

[Click here for full size]

Taking into account skeletal ratios, fat distribution patterns, a vast human weight range, muscle tone and age, there are endless permutations of body types. It would be a shame if you used only one!

Oh, and that first image looks really interesting as a gif.

Dungeons and Dragons creatures, generated by neural network

The game Dungeons and Dragons has all sorts of lists of spells and abilities you can use for gameplay. I trained an algorithm called a recurrent neural network to generate more spells - like Barking Sphere, Hold Mouse, and Gland Growth. Then, with a larger set of spells in my training dataset, I trained a better neural net that generated even more - like Song of the Dave, Summon Ass, and Shield of Farts.

It turns out that in addition to spellbooks, Dungeons and Dragons also has monster manuals - books full of the names and descriptions of creatures that adventurers can encounter. Colin Fredricks, who created the RPG Sufficiently Advanced, was kind enough to send me the names of 2,205 creatures from the 2nd edition monster manual. 

As I had hoped, the neural network generated creatures that would probably be pretty awesome.

Owlborn Cat, Stone Vampire Bear Kick Spirit Hatfright Purple Bird Slug, Spectral Wolf, Chromatic Golem, Rain Human, Crystal Hound, Plant Fish, Astro- Wolfworm Ogre, Space Dog, Goblin Serpent Shark Mommy, Greater Giant, Dunebat Cloud of Chaos

It also generated some creatures that you should probably run from until you figure out what they are. (Though Dome Animal might simply be a cool turtle)

Brain, Fire Horse (Spider, Brain Undead Lake Man, Fire Walfablang Fraithwarp, Giant Fish, Sun of Lycanthrope, Wereladoo Pat, Great, Space Shadowstaffer Spectral Woof Greepy Jabberwont Animal, Dome Dwarf, Giant Burglestar Pigaloth Beeple, Desert Wendless Woll Memeball Marraganralleraith

There were 118 dragons in the original dataset, so of course the neural net liked generating new dragons. Some perhaps better-conceived than others.

Dragon, Death Seep Dragon, Purple Fang Dragon, Curple Lard Dragon, Dead Big Dragon Will O’Dragon

And it generated new unicorns!

Unicorn, Fumble Unicorn, Bat Unicorn, Black Willow Unicorn, Sith Sheet

These might be possible misses, though.

Man-Can Barber Beet Skull Feast, Stone Peg, Brown Kurt Durp Snake Golf Vampire, Putter

Enter your email here and I’ll send you a few more creatures that wouldn’t fit in the main post. Including the legendary Bung Dragon!

I’m crowdsourcing a couple more D&D-related datasets - see below!

Also, I thought it would be fun to generate D&D character names for a future project. If you go to this form (no email required), you can enter your character’s name, race, and class. Once I have enough of these, I’ll give them to the neural network and see what happens. Edit: wow, over 10,000 responses so far! (Check them out at this link) Keep them coming!

I’m also collecting character backstories! Submit as many as you like. https://goo.gl/forms/ReInNw0Tz0mwzTLO2 I will post some generated character bios as soon as I can figure out a strategy that works better than this:

There was the prince of the sun. He was raised by the arcane arts and accepted him to become a fire work and the pig of the scorpions. He was in the blood of curious by the world to be a part of the church, really with the bartender.

I jotted down for a friend of mine some tips and notes on how I approach drawing hair, and things I keep in mind while doing so, and thought I’d share. There are loads of other ways to do it, and the learning never stops, so I hope this helps!

there are real reasons why doodles often get more notes than the drawings we spend far more time on.

as beginner and non-professional artists, we have flaws. these flaws become more noticeable the longer we spend on a piece and the more we flesh out the imperfections that we don’t know how to fix. the more effort you put into something, the more obvious it is where you need to improve. just consider the difference between drawing something like this (i’ll use my own art as an example)

and this.

as soon as i added lighting, a background, another character, etc, it became obvious where i rushed it. the lighting is sloppy, the lineart is wonky, etc. that’s why the first drawing got 300 notes and the second one got 50.

another reason why doodles are more popular is that doodles are fun to draw, and fun to look at. compare this

to this

the first one got 60 notes and the second one got 300. it’s because the second one shows more emotion, and because i wasn’t focused on making it look perfect, it’s more fun to look at. there are no distracting flaws or backgrounds - it’s simpler.

so, to summarize: doodles get more notes than finished pieces because 

a. finished pieces from beginner artists are never perfect, and 

b. art is often more pleasing to look at when the artist is not focused on perfection.

there are other reasons but i think these are generally the main ones.

NOTE: one type of fold will rarely appear on its own - they interact with each other quite a bit! for example, spiral folds might define the outline of a pant leg, while the interior folds might be zig-zag folds.

i’m trying to re-learn how to draw clothing, so i made this little guide to the most common shapes of folds that appear. hope it helps someone else too!