The short and sweat: a furry-centric model merge built around e621 tags.
The long and hard: This is a checkpoint merge of the models HomoSimile Anima + Indigo Void Furry Anima and a custom LoRA consisting of 5473 images scraped from popular e621 posts. The dataset features top-rated posts from every month over the past six years, spanning a wide range of species with a strong emphasis on accurate furry anatomy. Hence the working title of this LoRA was called The Anatomy Problem. I've kept the e621 tags intact for this dataset and as such you'll want to prompt like it's Pony or Illustrious when using this checkpoint. Enjoy!
Recommended Generation Parameters
Sampler: ER SDE
Scheduler: Beta
CFG Scale: 4
Steps: 30–40 (32 recommended)
There are 921~ different artists within this datasetListed in Alphabetical Order of Artists With 5+ Images:
@anchee, @anhes, @arf-fra, @ashraely, @autumn sunrise, @backsash, @blotch, @bonnie bovine, @braeburned, @butterchalk, @catniplewds, @chunie, @clockhands, @clyde wolf, @cobaltsynapse, @codyblue-731, @cooliehigh, @cuteconfy, @daftpatriot, @dagasi, @delki, @dimwitdog, @edjit, @elicitie, @fenn.perrox, @feretta, @fluff-kevlar, @foxinuhhbox, @gewitter, @goonie-san, @hooves-art, @hyattlen, @imprettynormai, @inno-sjoa, @inu-sama, @iztli, @jarlium, @jishinu, @juiceps, @jumpy jackal, @kakhao, @keadanger, @kenket, @kilver, @kraaisha, @lazysnout, @letodoesart, @lichfang, @lockworkorange, @loimu, @lvlirror, @magnetus, @malaika4, @manmosu marimo, @marsccts, @nepentz, @notafurrytho, @oxfort2199, @patto, @personalami, @phenyanyanya, @r3drunner, @reallynxgirl, @ruaidri, @sagaris uwu, @scarf (artist), @scarlet-frost, @schmutzo, @scruffythedeer, @seibear, @sepulte, @seraziel, @sicmop, @sijimmy456, @singafurian, @snowskau, @spaal, @spuydjeks, @ssirrus, @ssssnowy, @swaybat, @the giant hamster, @thesecretcave, @tofu froth, @trmk2, @truegrave9, @twang, @unsavoryimpcat, @waspsalad, @watsup, @whyvern, @wizzikt, @wolfblade, @woolrool, @wugi, @zackary911, @zaush, @zeforge, @zica*(While these artists appear in the training data, their stylistic impact on this checkpoint may vary significantly)


















