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Nov 30 โ€ข 25 tweets โ€ข 11 min read
Thread time ๐Ÿงต

Here's how to precisely design a small building in a game (such as an isometric bunker) by fine-tuning #StableDiffusion

This example was inspired by #RedAlert, which I spent countless hours on (in 96-97 - pls don't call me old ๐Ÿ˜…)

CC scenario.gg
Style-consistency is paramount when it comes to designing #game assets.

I trained a fine-tune using @Scenario_gg (alpha), using 16 images (below), inspired by the Red Alert/Command & Conquer buildings.

Fun fact: I generated them all in... @midjourney.
I actually generated more than 200 buildings (and even some vehicles), from which I picked a smaller dataset, keeping enough variability within a certain consistent style.

I will keep the remaining data for new trainings in the coming days :)
Once the model was trained, I tried a few simple prompts to evaluate which type of isometric buildings it could generate.

Such as... a nuclear plant (not really in the original training dataset)
Or a factory
A soviet bunker.
A radar dome.
A garage...
A refinery.
And finally... the bunker. An easy example, in the style of a "pillbox" in Command & Conquer.

This board was generated using #img2img, from one initial image (to the right, from the original training dataset).
I tried other "shapes" for a bunker, such as the ones below (taking the โ€œfactoryโ€œ image as the input data to img2img)

It worked too, but maybe not as well as the one above.
So I re-trained the model with two differences > reducing the dataset to 12 images (to increase the consistency, at the risk of lowering the variability). I also set the text encoder at 50% (vs. 100%)

And it worked much better. Here's a first bunker (tower-shaped)
Back to the "pillbox" shape.
The pillbox looked good, so I customized it as if it was a soviet bunker.

"isometric bunker, realistic, soviet flag, red, video game".

Boom done.
Of course, there has to be the "allied" counterpart.

"isometric bunker, realistic, USA flag, blue, allied, video game"
I changed the original image to generate bunker with a wider angle (and some structures around).

"isometric bunker, realistic, video game".

That's it. 3 words, a good fine-tune, a curated image (for img2img) and the possibilities are just infinite.
Close-up views

"Dataset engineering" >>> "prompt engineering"
Another img2img, another shape, another style... but the same "Command and Conquer-like" universe.
And another style of bunker or "command tower".

For this img2img batch, I used an ATC tower as an input (right)

The #AI transformed the control tower into a vertical bunker (and kept some of the original visual features)
I even explored other buildings, such as a #lighthouse, always in the same style (generated from the fine-tune)
This is just infinitely powerful. ESPECIALLY for artists with all the creativity, knowledge, and culture of gaming art.

Once you master different features (training finetunes, prompts, img2img, inpainting...), then the possibilities are just endless.
I predict game #studios will end up managing hundreds (if not thousands) of finetuned models, which will undergo some validation process before being used in production by various teams (artists, developers, designers, marketers...)
And if you still doubt it, this is a quick example of the SAME concept and methodology, but this time applied to the "Fallout" video game (post-apocalyptic #RPG)

A radar dome.
A radar dish/antenna.
A decaying building, etc etc.

If you like this concept, RT this thread, give us a follow (@Scenario_gg), or get on the waitlist (scenario.gg) ๐Ÿš€

We start rolling out in 10-15 days and after.

And let us know what you'd like to see next!

๐Ÿค

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More from @emmanuel_2m

Nov 21
Isometric mini-worlds. Done โœ…

#AI #StableDiffusion @Scenario_gg - scenario.gg
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Nov 20
How game artists can explore more creative options with #AI, using their own art, in their own style.

A short (and yet powerful) example with @DanielPlaychain ๐Ÿงต

#AI #gaming #game #artist #StableDiffusion
.@DanielPlaychain is the Chief Creative Officer @playchain_ (Web3 gaming).

He has posted some awesome game art on his @ArtStationHQ - check it out: artstation.com/danieljohnsen
Daniel and I worked on a specific dataset of stylized characters (a style exploration, made a few years ago).

I focused on the characters below (removed the weapons, beast, and badges) and trained a finetune using @Scenario_gg on 7 images.
Read 14 tweets
Nov 19
100 #AI-generated droids, and they're cute.

Created in 15 minutes with @Scenario_gg
Some close-ups examples are below ๐Ÿ‘‡

Like โค๏ธ if you like it, RT ๐Ÿ” if you want more of it ๐Ÿ˜‡.

scenario.gg
#AI #StableDiffusion #gaming #GameAssets
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Nov 19
Who wants some monstrously cute isometric gingerbread houses? ๐Ÿ ๐Ÿญ

I'm cooking a few hundred of them with @Scenario_gg (scenario.gg) and #StableDiffusion.

100% #AI-generated.

Tks @bcjordan for the inspiration.

Some more examples below ๐Ÿ‘‡
Read 4 tweets
Nov 19
New finetune coming ๐Ÿš€๐Ÿš€

"Cute isometric house". An infinity of them.

Do you have some ideas so I can test it further? (fire station, temple, beach cabin...)

๐Ÿ™๐Ÿซถ๐Ÿ™
Big Ben... ๐Ÿ‡ฌ๐Ÿ‡ง
Indian temple... ๐Ÿ‡ฎ๐Ÿ‡ณ
Read 4 tweets
Nov 18
121 little characters with pointy ears. A small village.

All 100% designed with #AI.

Men, women, kids, soldiers, wizards, goblins, etc. All created in less than one hour, while keeping a solid style consistency.

Thread ๐Ÿงต

#StableDiffusion #Dreambooth #Gaming @Scenario_gg
I bought a pack of characters with pointy ears. They made me think of the goblins in Harry Potter (but more human-like)

I trained a finetune using @Scenario_gg (internal alpha) and started prompting (calling them "persons").

At first, you get this, but then the fun begins.๐Ÿ‘‡
A basic prompt, no modifier ("a person")

All are perfectly consistent (the clothes, the ears, the accessories). There are some variations, though.
Read 15 tweets

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