This is an experimental model trained on a private dataset. At the current level of training it can be a bit fussy, but does output decent results every now and then. Trained at 512x512 only.
Not entirely sure how to specify Trigger Words for this model, so apologies. The model was trained with prompts of the form "A photo from the ____ subreddit, ____ quality". Available 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
assholegonewildAvailable qualities:
best
high
mediumI have no specific advise on prompting the model beyond that. The sample images were generated using Euler A or DPM++ SDE Karras with 28 steps at CFG 9, a prompt of the style mentioned above using best quality, and putting only "medium quality" as the negative prompt. Some samples were generated using a mix of subreddits ala "A photo from the ass and cumsluts subreddit, best quality".
Description
5,046,144 samples seen during training
FAQ
Comments (14)
At least 1 prompt for the first render ?
Sorry I'm new here; not sure what you mean. Do you mean an example prompt like the one used to generate the first sample image? If so:
A photo from the cumsluts subreddit, best quality
Negative prompt: medium quality
Steps: 28, Sampler: Euler a, CFG scale: 9, Size: 512x512
For some reason i just get a mess
Not tried yet but it seem to have lots of potential, mostly because of the very short prompt. Could probably work amazingly well with some merging.
Can confirm, just a 50/50 merge with Realistic Vision produces much better results. Still not very flexible, but majorly improved coherency and image quality, while still understanding the different subreddits and allowing you to mix them.
@woobly Great to hear; this is my first fine-tuned model so I know it has lots of problems, but I was hopeful a bit of mixing from smarter people than me could make up for its problems :P
@nutbutter I'll definitely experiment with it more soon. Being able to mix and match subreddits is pretty cool actually, especially since you included some favs of mine. Hopefully merging will be enough to make it more responsive to prompts without losing too much. I did merge a 3rd model into it and was able to get "in a forest" to work consistently, which is some progress, but then I noticed that the face was nearly identical in every image. Either way, great model, I'll let you know if I make any progress :)
@nutbutter i think you should provide the number of steps you trained the model for (not sure if it was mentioned anywhere), mostly because sometimes a model can make a big difference in merging even with a %0 of it in the other, this happens when one of the two is very large... not entirely sure if it's an illusion, but somehow it happened to work many times
sadly cannot test it because of safetensor...hate this- my custom build cant read this...
Then your CuSTom BuILD isn't fit for purpose
a lot of people say its good for inpainting, do i need to put the "-inpainting" part, or just use it without can do just fine? thanks in advance :))
Add NewYorkNines to your training!
The file seems to break, is there another version floating around?
add hairy armpits and bush! V2