Emm Profile picture
Nov 8 12 tweets 4 min read
Okay, I believe this is the most INSANE set of assets I've designed so far with #StableDiffusion. Just ready for an excellent #RPG! Who wants some potions?

Take a look at the first selection below... the complete thread + how-to are coming in about 2-3 hours

#AI for #Gaming
Thread updated - enjoy! Would love to hear people's thoughts

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More from @emmanuel_2m

Nov 10
I've explored a reliable method to create high-quality, style-consistent #game assets w. #StableDiffusion

We're just scratching the surface here & I believe this can become a very potent creation tool (like a "@Procreate on AI-steroids"🤔)

A demonstration with... spellbooks 🧵
Spellbooks are another ubiquitous asset in heroic #fantasy games, tabletop games, D&D, etc.

However (like for potions), the Unity/Unreal asset stores have limited choice, and most assets have a rather simplistic design.

Here's how #AI can solve such a situation. Image
At first, I generated a set of 38 "random" spellbooks, which I used to train a finetune model of Stable Diffusion (Dreambooth). It took 1 hr.

I then explored a set of possibilities with simple prompts and or limited modifiers (intricate, detailed, beautiful, 3D render...) ImageImage
Read 24 tweets
Nov 8
I designed the most incredible pack of potions with #AI (and nothing but AI - #StableDiffusion)

Mega-thread 🧵

Follow the exploration below, esp. if you're in the #gaming industry (Game dev, Game Artist, Creative Director, etc.) Content production is about to be transformed 🤯 ImageImage
The gaming industry always needs a lot of new content. 40% of their budget is in the art assets.

Take potions, a ubiquitous prop in RPG games.

Below are some of the “most popular” potion packs available on the Unity asset store (similar sets are on the Unreal marketplace). ImageImageImageImage
And these are some of the potions found on Artstation.

They look much more elaborate, and some designs are highly creative. However, there are only 740 results for the “potion” query, which seems limited. Image
Read 26 tweets
Nov 7
I've done a first pass on the dwarves, and they're fun.

This proves again that #AI / #StableDiffusion is a fantastic tool for designing and creating #game assets... when adequately fine-tuned.

Here's some of the exploration, so far - 🧵
The model was trained on just 11 pictures (!), with only 1500 training steps, which tuned out to be quick (20 min).

As before, the first step is to "explore“ the model with a few generic prompts. The goal is to find the modifiers that will keep a consistent style going forward.
Once the "stable modifiers" are found, it's time to select some of the best output and remove the background when needed.

"A dwarf, detailed, trending on Artstation, Clash of Clans"👇
Read 16 tweets
Nov 6
Working on a set of dwarves now, and this one will be killer.

Stay (fine)tuned.

#StableDiffusion #AI #Gaming
Huh ok. Maybe not. Let's change the prompt a little bit, I guess.
Me likey
Read 4 tweets
Nov 6
Sharing additional thoughts on #StableDiffusion to create #gaming content & #game assets 🧵

My last exploration was on golems; this one is with "Space Marines-like" heavy infantry.

This was a fun creation with lots of learnings 👨‍💻. Feel free to like/RT if you find it useful 🚀
1/ First (as mentioned before - ) > curate a training dataset (such as pictures of figurines) to feed a #Dreambooth finetune.

Once the model is ready, compare different generic prompts (e.g. "low-poly," "3D rendering“, "ultra-detailed," "pixel art," etc.)
2/ Once a prompt looks good, keep the modifiers (in this case: "3D rendering, highly detailed, trending on Artstation").

And start iterating around variations, such as colors (or pose). Don't over-engineer it, to keep the consistency. You should get this:
Read 15 tweets
Nov 5
Let’s keep using #StableDiffusion to design or create #game assets, quickly and consistently.

In 15 min, generated an army of golems with similar shapes and sizes, but various “materials” (lava, rock, water, ice, forest, sand, gold…).

No in-painting is needed. Thread 🧵
Step 1 (as in my previous examples with chests - ), I made a Dreambooth finetune w. just 11 pics.

As soon as the model was trained, the first step was randomly generating a large set of images w. a simple prompt ("golem, detailed, realistic, 3D rendering")
Each golem can be extracted by removing the images' backgrounds (reco: @photoroom_app).

Some of the designs are amazing. However, the golems all look very similar to each other. Let's separate them into categories.
Read 14 tweets

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