Update 3/1/23: There is now also a <a target="_blank" rel="ugc" href="https://civarchive.com/models/14730/airoticarts-vulva-model-lora">LoRA version</a> of this model available, extracted from v1.0.Update 4/2/23: For more examples, we used the <a target="_blank" rel="ugc" href="https://civarchive.com/models/14730/airoticarts-vulva-model-lora">LoRA</a> of this model to help create the vulvas in our art, <a target="_blank" rel="ugc" href="https://www.reddit.com/user/AIroticArt/comments/129x9ff/the_beauty_of_couples_collection_14_aiassisted/?utm_source=share&amp;utm_medium=web2x&amp;context=3">The Beauty of Couples, Collection #14</a>.It's needless to say that standard AI models usually can't generate female genital anatomy very well. They were just not trained on that data. At best, the models might produce the vulval cleft, where the labia majora meet, also called the pudendal cleft, but that is about all. There is so much more to the vulva, this beautiful female organ, which is actually several organs. There are the labia majora and labia minora, the clitoral hood that usually covers the clitoris (or clitoral glans), the urethra, the vagina (and vaginal orifice), the mons pubis, perineum, asshole/anus, etc. But all of these parts are usually hidden or simply absent in present AI models.We wanted to change that, so we trained a model with Dreambooth that specializes in detailed closeups of anatomically correct female genitalia, i.e. all the parts of the vulva, including natural hairy and shaved hairless, wet/moist and dry, open (gaping) and closed, and all different shapes, sizes, and colors of the vulva. And we're giving it back to the community.<h2>Example Prompts</h2>You can simply use "a nude naked woman" or "a nude woman's vulva" in your prompt and get some good results.You may add more details as noted in the caption above, including vulva, pussy, hairy, hairless, shaved, wet, moist, labia majora, labia minora, vagina, clitoral hood, clitoris, ass, asshole, anus, legs spread, butt, indoors, outdoors, skin tone, open, closed, gaping, etc. You may also add the unique instance keyword vulvdet (vulva detail) to more directly specify this training dataset.NOTE: If you download the inpainting model, make sure the filename ends with "-inpainting.ckpt" otherwise you might get errors when loading in AUTOMATIC1111.<h2>Support</h2>If you'd like to show your appreciation for this and help support our work, you can send tips or donations via Bitcoin to our Lightning Address here, <a target="_blank" rel="ugc" href="mailto:grufftoad29@walletofsatoshi.com">grufftoad29@walletofsatoshi.com</a> (not an email address). You may also purchase our fully produced hi-res AI erotic artwork 'photo' sets at our <a target="_blank" rel="ugc" href="https://bentbox.co/airoticart">BentBox page</a>.Find us on <a target="_blank" rel="ugc" href="https://twitter.com/airoticart">Twitter</a> and <a target="_blank" rel="ugc" href="https://airoticart.tumblr.com/">Tumblr</a>, or on Discord as AIroticArt#1653.

AIroticArt's Vulva Model

This is the first version of this model.hash: 0c2b65c4md5: 717393a25bc36e0ee799c19c3dbbacf3Training Dataset and CaptionsHere is what the images and captions used in training were like:<ul><li>60 images, with detailed captions like "a photo of a nude naked woman's vulvdet, vulva, pussy, shaved, hairless, labia majora, labia minora, clitoral hood, moist, wet, goosebumps, ass, anus, asshole"</li></ul>Training Parameters<ul><li>Dreambooth training (Shivam)</li><li>60 images, manually edited for clarity</li><li>512x512 resolution</li><li>BLIP initialized captions, then manually edited to add detail</li><li>DDIM scheduler</li><li>SD 1.5 pruned-emaonly base model</li><li>fp16 precision</li><li>No class/regularization images (no prior preservation)</li><li>4,000 steps (training text encoder 100%)</li><li>LR 2e-06</li></ul>LimitationsFor this model we trained closeup shots mostly, so the model might not be able to produce more wide angle shots of women. Sometimes it still doesn't get the genitalia correct, and may duplicate labia or anus. At times the clitoral hood can look too sharp or rigid or too large. A greater variety of training images, with a variety of different anatomy, settings, poses, and crops, would produce more variety in inferencing. Using class images with prior preservation might allow the model to produce wider angle images. This model was trained mostly on closeups, so might be best used for inpainting fixes (an inpainting version of this model is also available!). Training could be done on more ethnicities. Full precision could be used, as well as the full ema+non-ema base model. These are areas for improvement in future versions of the model.

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