Want to support my work or help fund the training of this dataset on other models? Join the Patreon in my profile, and if you do - thank you!

Want SNOFS as a checkpoint instead of a LoKR? https://civarchive.com/models/2416142/snofs-sex-nudes-and-other-fun-stuff-merged

Krea 2 V1.4:

I did some stuff that should help with using SNOFS in combination with other loras. For most generations textures should also be further improved. Still having problems? Use my newly updated photo slider. It works wonderfully without changing identities:
https://civarchive.com/models/2823820/photodetail-slider-for-snofs-krea

Krea 2 V1.3D:

Alright, alright. I figured out a way to greatly restore texture back. It wasn't more training or different settings, and that's all I'm going to say about it. I deserve to have some trade secrets, no? I made it version 1.3D because the D stands for detail. It was actually try F, as in I was totally...frustrated...with how many lengthy tries it took.

Anyways, I had versions that took it further but it tended to have more broken anatomy. So, the same rules still apply if you want something to look like a photo:

Be sure to mention that it's a photo/photograph in the prompt. Do NOT use "photorealistic" or any other term that doesn't actually mean a photo. Krea 2 was trained on a ton of artwork so using any of those types of terms will yeet it back to bad texture.

The same goes for some specific terms. When in doubt, use the words listed below instead of their synonyms.

My two-stage sampler is still handy for multiple reasons:
https://github.com/Auryg/Krea-2-Two-Stage-Sampler

The idea for the two-stage sampler that you can generate without the turbo lora for the first bit, which helps with variation and prompt adherence, and then bump to a second stage with the turbo lora to keep things fast. For the three-stage variation, you can then bump back to doing it without the turbo lora for the last bit if you want to use a negative prompt. You can also generate at a lower resolution to start and then bump it up.

Also, please, for the love of god try SNOFS by itself before you go adding a bunch of other general NSFW loras or models to it that screw up anatomy.

Ideogram:

Ideogram model has been updated, and is available here: https://civarchive.com/models/2781404/sex-nudes-other-fun-stuff-ideogram-snofs

General Information:

SNOFS was trained on natural language (or JSON, for Ideogram), not tags. It will work best if you use full sentences to describe what you want.

Not using ComfyUI/your inference software doesn't support lokr? I've put up a merged version here. You can also use the merged base model to train off of: https://civarchive.com/models/2416142/snofs-sex-nudes-and-other-fun-stuff-flux-2-klein-9b-base-and-distilled

Here's a list of some of the terms that work well:

• anus

• blowjob

• boudoir

• condoms

• deepthroat

• braless

• cowgirl position

• cum

• cunnilingus (be specific and maybe put kissing in the negative prompt)

• deepthroat

• dildo

• doggystyle position

• fingering (anal and vaginal)

• hand in panties

• handjob

• hitachi magic wand

• implied blowjob

• ipcam / nightvision ipcam

• masturbating (might want to put penis in negative prompt, or specify what she's rubbing for women)

• massage

• missionary position

• naked, nude, etc.

• penis

• pregnant (and can specify trimester)

• prone position

• reverse cowgirl position

• sex

• sheer

• snapchat (and caption/text/etc)

• selfie (and mirror selfie)

• spooning position

• strap-on dildo

• tentacles

• licking testicles

• undressing

• vagina

• wet clothes

Depending on the version, the following might work:

• anal sex

• anilingus

But also keep in mind that it was trained on stuff like "her panties are pulled down to her thighs," not "panty pull."

These models are under the following license:

https://huggingface.co/Ashen3/SNOFS

Flux 2 Klein 9b V1.4:

Additional training. Some of the training was done using https://github.com/BuffaloBuffaloBuffaloBuffalo/ai-toolkit-perceptual , training against depth. Considering how much of SNOFS is two people intermingled with close skin colors, it seemed like a novel idea. It did seem to rapidly help with that sort of thing. On the downside, it seemed to create a bit of a texture issue on very close up images. I did some more training after to try to bring that back and was somewhat successful, but I think I'd need to increase the weight decay to really make that happen. Since everything else was in a good state I decided to release as-is. If you do have that texture issue, try adding "goosebumps" as a negative prompt.