God Pussy 2: Innie - a rare delight. Not so often do you see a girl with such a tucked in look. Super hot. (All images & models are prompted with 18+ descriptions & trained with 18+ models!)

Contact me at aihotgirls@proton.me

Version 2

• Big improvements to overall look, consistency

• Big improvements for txt2img use

• Lowered issues with double butthole (still not perfect, but better)

• Renamed file from 'sd v s gp2 i' to 'GodPussy2 Innie'

• Used a mix of Photoshop and SD to improve training process

  • Create a LoRA, generate images with LoRA, choose best images, Photoshop if needed, retrain new LoRA with those images, repeat

Recommended Settings

• For txt2img: LoRA weight of 0.2-0.4

  • For pussy closeups, this can go all the way up to 0.9 or 1.0

• For img2img: LoRA weight of 0.4-0.6, Denoising strength <=0.5

• Inpainting: use large padding (varies per image size)

  • Masked Content = Original, works better than Fill if base image has an ok vagina already there

• Best models (in order): LazyMix+, Liberty Main, LofiSasha

  • LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. pussy, GodPussy, or AsiansGoneWild) for more variation

• You can also use this LoRA in conjunction with https://civitai.com/models/10364/innies-better-vulva for some variation

Background

I'm a horny dude and I've seen a lot of pussies. I believe they're all unique, like a face. But different pussies also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of pussy types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of pussy you're looking for.

Notes

• I am scrapping the naming conventions (ex. sd v s gp2 i). It's not very intuitive and shaved/unshaved can be accomplished through the prompt or other LoRAs (ex. That's My Bush). Setting an image preview for each LoRA in Additional Networks should be sufficient to know what model you are using

• I upscaled many of the training images using SD and also I used a trick to create multiple training images from the same original image

  • This should result in very consistent, high quality images

• Don't forget to go outside and touch grass