This is an updated version of Subreddit V3 (https://civarchive.com/models/5308/subreddit-v3), an experimental model trained on a private dataset. Compared to V3, this one can be more easily controlled, gives decent results more consistently, and slightly expands the list of known subreddits. Don't expect the super photorealistic perfection from those top tier models, but hopefully this model is fun to play around with.
Version 6 builds on top of Version 5 by adding aesthetic scores to all the prompts during training. You should now be able to specify your desired aesthetic using "best aesthetic", "normal aesthetic", or "bad aesthetic". This version was trained on more data, 500k images this time, and trained for slightly longer.
Version 5 is now trained at a base resolution of 640x640, along with aspect ratio bucketing into the following resolutions: 448x832, 448x896, 512x768, 576x704, 640x640, 704x576, 768x512, 832x448, 896x448.
The model was trained with prompts of the form "Some kind of caption for the image, r/subreddit, reddit, best quality, normal aesthetic". It knows "best", "high", and "medium" quality. Quality is based on the image's popularity in the dataset. Aesthetic is based on the LAION aesthetic tagger. The model knows the following subreddits:
gonewild
nsfw
RealGirls
cumsluts
LegalTeens
collegesluts
AsiansGoneWild
pussy
milf
adorableporn
ass
Nude_Selfie
pawg
boobs
celebnsfw
bigasses
juicyasians
latinas
GodPussy
Amateur
xsmallgirls
18_19
Gonewild18
asshole
workgonewild
nsfwcosplay
palegirls
paag
asstastic
Upskirt
TooCuteForPorn
TinyTits
FitNakedChicks
altgonewild
traps
FemBoys
GWCouples
Boobies
CuteLittleButts
GirlswithGlasses
assholegonewild
PetiteGoneWild
BDSMYou can mix subreddits by specifying multiple.
Description
Trained for 10,000,000 samples
FAQ
Comments (16)
amazing model!Great work!Trained for 10,000,000 samples!
no love for hairy women? ;_;
Sorry, not intentional, I just used popular subs for these small experiments.
@nutbutter all ok, perhaps in a future version ;)
may they wither and disappear xD
@nutbutter It actually does hairy pussies really well. Unless OP is talking about leg hair/underarm hair.
@MachineMinded was more about the included subreddits
hmm, why not add tags from blip2/clip/wd? I love the datset/idea and enjoyed v3 but the responsieveness would be improved i think, maybe that is my fault though and my prompts suck, idk
This new version uses BLIP2 captions
@nutbutter i'm dumb and must've missed that, sorry, thank you.
Would you like to demonstrate more sample images?I want to refer to the prompt word.
Hi, interesting model! I'm interested in trying a similar experiment. Can you quickly give the name of the methods/tools you used?
No specific tools other than big balls of python to download, build the dataset, and finetune. Captions are by BLIP2 in this version. Is there anything specific you wanted to know?
@nutbutter joepenna, diffusers or what do you use for fine-tuning?
@malcolmrey Diffusers and a custom training script
@nutbutter by custom you mean you've changed it? :)
I'm currently in a speed learning course of python myself :-)