

So the data set this is trained from is made of images that are or feature geometrics, fractals, kaleidoscopes, or non-Euclidian geometry. Think MC Escher. Chaos.
While testing it I found it quite capable of more.
This collection is a ton of images I made using the lora with minimal prompts and most of them <10% overall prompt weight.
just to test out what it did on its own or with minimal guidance.
It produced mostly what I was aiming for. and by minimal I mean half of these examples I think have prompts with <10 words. at least 20% probably i have <10 characters in the prompt. This was 100% intended as a what does this lora do on its own. there is a smattering of examples with 80-100% prompt weight as well.
all of the images in this collection should open prompt.
From testing; I did find this lora has an affinity for butterflies even if they aren't requested. No butterflies were in the training data.
We recommend using these trigger words when prompting HyperQuark to get the best results:
This is a super cool lora and it also mixes nicely

Comments