download the YAML or use the diffusers mirror woweenie/pretty-girls-next-door-v5.1
use a webui that supports v-pred, turn on ZTSNR betas, and use CFG Rescale=0.7 (InvokeAI with diffusers link recommended because it handles this for you
use NON-K samplers (ZTSNR does not work with Karras)
Using an entirely custom dataset, almost all manually captioned. Focus is on softcore and erotica, rather than porn per se. It's really great at doing erotic images of fully-clothed women. It can definitely do nudes, but it's more like z1shy or m3t-4rt than 4tkg4ller14 or "porn" porn. V5 now with all new training methods, highest quality yet.
Your prompt should be something like: "a photo of a woman with large breasts and a pretty face. front view, upper body shot. wearing a camisole. 85mm, f/3.5" Scroll down for an indepth prompting instructions.
Download the Config too (.yaml file) or you'll get black images. Or use the Diffusers mirror with Invokeai or Comfy: woweenie/pretty_girls_next_door_v4.0
This model is horny and will produce nudity without prompting. Add "naked" to the negative prompt if you don't want NSFW output.
This is a SD2 model (with OpenCLIP VIT-L/14 text encoder), so prompting is more like SDXL than SD1.5 - write sentences, keep the negative simple. Use the samples as a guide.
Recommended settings: stochastic sampler ("SDE" or "Ancestral" eg DPM++ 2M SDE or Euler A), 50 steps, CFG 6-10, size 640x896
Recommended negative prompt: as short as possible, start with "corpse, 3d render"
See below for the full guide it's from v1 but is still mostly correct.
You can get big quality imporvement in the normal way, by stating camera settings eg "canon eos" or "analog lens" or "film grain" or "100mm, f/3.5" (experiemnt with different numbers).
You can also get a big quality improvement by adding a random person's name, use Behind The Name's random name generator to make up some fake names for you. Changing the nationality of the name changes what the person looks like. They don't have to be real names, I also notice improvemetn just typing "a photo of ufailhk fnlkiha wearing a t-shirt" instead of "a photo of a woman wearing a t-shirt"
Pose is the hardest thing to prompt right. this is because it is ambiguous, depending on the camera angle as well as the pose, so you can get better poses by also prompting a view angle eg "front view", "rear view" etc.
if the pose still looks like a scrambled combination of multiple poses, try putting the mixed up poses in negative, so let's say you want "lying on her back" and it keeps drawing her butt but her head on backwards then that's because it's confused and trying to also (wrongly) render her "lying on her stomach" at the same time - so put that in negative to stop it.
this works for other poses too, one pose in positive and one in negative helps to make it solid
you can also add a view prompt to negative for views you don't want that it is still trying to make
you can also use "group" in negative prompt or "modernist garbage" which helps to fix the pose sometimes
Negative Prompt: try with empty first.
if she looks dead use "corpse",
if she looks like a 3d render use "daz3d" or "3d" or "render",
if she looks like exaggerated anime proportions or too smooth skin use "anime".
if she has extra arms or legs, or missing arms or legs use "group".
if the photo looks like it is from a cheap 1980s camera use "instamatic" "snapshot" "vintage" etc
if the pose or expression is boring (like a mail-order catalog) try adding some of these: "fashion" "magazine" "advertisement" "catalog"
if she looks like trash try "hooker" or if the whole picture is gritty try "brushstrokes"
Jokers: "lumpy", "modernist garbage", "sketch", "draft", "ugly" (but risks sameface), "grimace"
Sometimes a gen is bad because of a word in negative, and its harder to tell which one so best to keep negative short unless you like to go through and try deleting the words one by one to find the bad one.
better prompts, about 200k steps more training, better training strategy
no need for complicated CFG rescale or custom beta schedule
pose prompting improvements
added "fetal pose" for lying on her back, curled up with her knees at her shoulders
"supine" is now "lying on her back"
"prone" is now "lying on her stomach"
"recumbent" is now "lying on her side"
full list of pose tags: standing, sitting, kneeling, fetal position, on all fours, squatting, lying on her back, lying on her side, lying on her stomach
can be combined with: closed legs, parted legs, spread legs, crossed legs, one leg raised, both legs raised
better view control
3/4 view is now "angled view", you can use "angled front view" or "angled rear view" ensure front/back view
add "from below", "from above"
full list of view tags: front view, angled front view, side view, angled rear view, rear view, from above, from below, high angle, low angle
improvements to wet skin prompts (try "wet skin", "soapy skin", "wet see-through t-shirt")
full list of trained clothing tags, bold is best: bikini, bikini bottoms, bikini top, blanket, bodysuit, bra, camisole, coat, crop top, crossover top, dress, garters, glasses, goggles, gown, gym shorts, halter top, handbra, hat, hoodie, jacket, jeans, jumper, lace-up top, leggings, lingerie, long pants, long sleeved top, nightgown, off-shoulder top, one piece swimsuit, overalls, pajamas, panties, pantyhose, piece of fabric, robe, scarf, shirt, shorts, skirt, sleeveless top, slip, sneakers, sock, socks, sports bra, sunglasses, sunglasses on her head, sweatpants, t-shirt, tank top, tied shirt, top, undersized bikini, wetsuit
ZTSNR training, needs trained beta
V3 is only available as diffusers -
v3 woweenie/pretty_girls_next_door_v3
v3.1 woweenie/pretty_girls_next_door_v3.1
Trained on 4500 12000 images (v1 dataset attached to download) from well-known soft porn websites, and a low alpha merge with Artius-v21 and Mangled_Merge_v3. Mix of manual captions and LLAVA autocaptions with manual tag guidance. Focus is on natural language prompting and flexibility and precision with clothing and nudity.
All of the samples are made with diffusers. Generation only, no inpainting or img2img. Seeds are CPU ("random number generator source" option in automatic1111 or "generator source" option in vladmandic).
better response to shorter prompts
general image quality improvement
Download the .yaml or you'll get black images. If you want to reproduce the samples use InvokeAI or vladmandic with diffusers backend.
Recommended negative
3d render, ugly, misshapen, corpse, brushstrokes, child
DPM++ SDE Karras, CFG 6-8, 24-36 steps
DPM++ 2M SDE Karras, CFG 6-8, 24-48 steps
DDIM or Euler a, CFG 6-11, 48-96 steps
Recommended settings (V1)
DPM++ 2M SDE Karras, CFG 6, 24 steps or 30 steps
DPM++ SDE Karras, CFG 6, 24 steps or 30 steps
DDIM or Euler a, CFG 6-11, 48-96 steps
The model was trained on multiple sentences separated by full stops, and if you prompt like that you will get more out of it. Eg "a photograph of a woman on the beach, wearing a bikini. beautiful soft rim light, intricate details, 8k."
Start simple. Don't use tag lists, just write something short like "photo of a naked woman at the beach":
To get closer, add more words for skin or body parts, but this can make generation weird:
To fix weirdness add a pose to the prompt:
Bring the face back into frame by prompting it:
You an also change the influence of background details by moving them to a different place in the prompt. If they're closer to the start they will have more influence.
Increase quality with words like "ultra realistic, skin details, skin pores, 8k, intricate details".
"Detailed face" or just "face" improves faces, "eyes" improves eyes, "lips" improves mouth shape.
"Painted eyes" and "cartoon face" in negative help if the eyes look like they're painted on
Long negatives are often worse. Start short and add words as bad things appear. Clean up words that are doing nothing as you go.
Prompt a pose to improve results (try to match what the random seed is drawing on its own)
Prompt leg pose to improve results (try to match what the random seed is drawing on its own)
Sometimes "professional photograph" "stunning photograph" "detailed photograph" help, sometimes they make the image worse.
Sometimes the model gets too close up. Use negative prompt "close up" to fix
Some things are overtrained in the base model, especially "bedroom", so move it further down the prompt or downweight it with [[bedroom]]
Adding words like "face" or "breasts" or "hips" or "knees" brings camera closer to those things (or further out of they're not in frame already)
The first word has a large influence on results. Try "HQ photo", "ultra realistic photo", "professional photo", "digital photo", "detailed photo", "stunning photo", and just "photo"
Adding camera, lens, or film words eg "Canon EOS Rebel, f/11 35mm" or "ektachrome ER film" sometimes helps, but sometimes make the output less nude
If some things are dominating, change the order of words.
Sheer/wet can benefit from "sheer clothing", "see-through", "wet clothing", "visible nipples"
Try "open" clothing, eg "open shirt", "open robe". Also try "unbuttoned" and "unzipped" - "wearing an unzipped one piece swimsuit" is fun.
Increase cleavage with "cleavage" or a longer phrase like "a tank top that shows her cleavage"
To fix cut-off legs or arms put "stump" or "amputee" in negative, or "weird anatomy" or "strange anatomy" or "bad anatomy"
"Good anatomy", "beautiful composition" sometimes helps
pretty face, cute face, beautiful face, ugly face (for negative)
reliable: standing, kneeling, squatting
ok: on all fours, sitting
unreliable: prone (lying on stomach), supine (lying on back), recumbent (lying on side)
large breasts, medium breasts, small breasts, cleavage, cute butt, round butt, broad hips
front view, 3/4 view, side view, rear 3/4 view, rear view, low angle, high angle, overhead shot, medium shot
At the pool, at the beach, at a river, in the shower, in the bath, in a photo studio
legs together, legs apart, legs spread, legs crossed
Whole body: dress, overcoat, robe, bathrobe, pajamas
Top: tank top, t-shirt, shirt, jumper, sports bra, jacket, hoodie, halter top, polo shirt
Bottom: leggings, jeans, skirt, shorts, sarong, socks, sneakers
Swimwear: bikini, bikini top, bikini bottoms, one piece swimsuit, wetsuit
Underwear: bodysuit, bra, panties, nightgown, slip
Face: glasses, sunglasses, hat
duchenne smile, friendly smile, flirty smile, fake smile, polite smile, laughing, confident, distracted, aroused, annoyed, embarrassed, bored, scared, dominating
Wet, mesh, sheer (combine for better effect eg "wet mesh sheer see-through t-shirt"), fishnet, thin, open, unbuttoned, unzipped, undressing, unbuttoning, unzipping
Hairy pussy, shaved pussy, bald pussy, tulip pussy, puffy pussy, curtains pussy, horseshoe pussy
Wet skin, with her arms raised, with her hand on her hip, nipple pokies (unreliable), strap slipping off her shoulder, lifting her shirt, hiding her pussy between her legs
I have updates to the data source planned when I can find some time to work onthem:
Fix prone + front view + low angle + large breasts
Add sports bra rear view
Fix nipple pokies?
Fix undressing?
Dress, long with legs not visible (leg poses under dress)
Sheer sports bra?
Dress/gown rear view
Check for "legs crossed" and "legs together" overlap, and "legs together" "legs apart" overlap
Add bikini + small breasts
Add bodysuit + rear view
Why is "slip" so weirdly close-up?
Sheer + naked? It seems like leaving off "naked" means "sheer" can't draw nipples
Remove natural light?
More wetsuits
Add half-ponytail hair
For now the dataset is attached, please credit me if you use it.
Pretty Girls Next Door is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user woweenie. Derived from the powerful Stable Diffusion (SD 2.0 768) model, Pretty Girls Next Door has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Pretty Girls Next Door is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as character, photorealistic, woman.
With a rating of 0 and over 0 ratings, Pretty Girls Next Door is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Pretty Girls Next Door from here.
To use Pretty Girls Next Door, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Pretty Girls Next Door, check out our crash course in AI image generation.
Go ahead and upload yours!
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