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"👇
You can add accessories or pose, for example: "A dwarf lord sitting on a throne". You get images with the throne... and the crown.
This is a group of dwarves that bear an axe 🪓 (... supposedly - since none of the pictures in the training dataset had an axe, I'm not getting the best results here)
Here's another group, this time bearing "a sword and a shield". A little bit better.
Here's a group of baby dwarves, on a baby chair
You can play with expressions too. Include "laughing" in the prompt, and you'll get characters like the ones below (male or female, btw)
Of course, I had to try my zombie trick: "a zombie dwarf, trending on Artstation, clash of clans".
Zombify everything.
I made some elves... in the style of the dwarves
Let's not forget img2img. this was a test to reproduce Russel Crowe's famous moment in Gladiator... "Are you not entertained?"
You can change the colors of the clothes simply by adjusting the prompt: green, blue, red... or bare chest
And then there's always the "fun and creative" stuff like having your characters play cricket 🏏, basketball 🏀, curling 🥌 or bobsled 🛷
This is not just about single characters, they can be generated in groups ("Dwarves in a gold mine, detailed, trending on Artstation")
And I could keep going on and on, but some other datasets are waiting :)
While images might not be final, this can accelerate design or prototyping processes. I also see RPG communities using this to build entire worlds "in the style of the game", without erratic prompting.
If you like this thread, please feel free to like/RT or share any thoughts below.
Follow for more explorations on how to use #StableDiffusion and #Dreambooth to accelerate your game creation process 🚀
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 🤯
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).
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.
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
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.
I also used #img2img to instantly generate dozens of variants, "inspired“ by a single original photograph.
This provides consistent assets (similar shape, size, or materials) with some slight variations. It's up to the artist/user to select which one looks best.
Same thing here, using #img2img - however, I prompted "steel chest" instead of "wooden chest"
While it's not 100% perfect, there's still more steel in these chests than in the previous ones.
Also, some of the assets are disjoint or show anomalies. Some fine-tuning is necessary