VERSION 3.0 UPDATE: This is basically a hybrid of v1.0 and v2.0. Much better skin details over v1.0 without going overboard like I did with v2.0. It has a great balance with both low and high resolutions. Rank 8 (v1.0) - Trained on smooth skin with no texture details (not enough skin detail, especially at lower resolutions, small file size)Rank 32 (v2.0) - Trained on highly detailed skin texture (too much skin detail, especially at higher resolutions, medium file size)Rank 128 (v3.0 - This LoRA) - Trained on both V1/V2 datasets (balanced skin detail, good at all resolutions, large file size) This is a big LoRA since I trained it at rank 128, but it is very powerful and effective even with less training steps compared to prior runs. It also continues to work very well at 1.00 strength when stacking with multiple LoRA's (even when combining with other LoRA's that directly modify the vagina, such as NSFW all-in-ones). I have done a LOT of training/testing with this concept in an attempt to perfect it, and this is the one LoRA checkpoint I keep coming back to since it works so well. So I figure I would share it. Enjoy! -------------------------------------------------- VERSION 2.0 UPDATE: So far the #1 complaint about version 1.0 was that it created extremely smooth skin that lacked details (very plastic/3D looking). I have to admit, I had tunnel-vision when testing that LoRA and actually thought it looked fine. It's possible I did the same here, so you be sure to let me know so I can keep fine-tuning for future updates. I appreciate any feedback, even if it is negative, harsh, or just poking fun at how bad the LoRA is, lol.Anywho, I completely overhauled the original dataset images by meticulously feeding every single one of them through an AI image editor (I used Klein 9B KV with a few good skin-texture/realism detailing LoRA's). I dialed-in each image as best I could (and to match the style of the original as best as possible) and trained at rank 32 (instead of rank 8). I trained to 3,000 steps like V1, but I actually found the 2,000 step version was much better (probably less overfitting). And that is the one I am providing here. I may train well past 3,000 to see if anything improves, and if it does, I'll do a 2.x version update.The quality difference between V1 and V2 is night as day in terms of skin detail, but it's still not perfect. I may have gone a little too far on the skin texture detailing, as things can sometimes look a bit wrinkly or dried out (or like the character has some kind of skin condition). But hey, at least it's better than smooth non-detailed skin, right? Plus you can always adjust it down or up or mess with the samplers/schedulers to get exactly what you want. Euler/simple is the most balanced and euler/beta amps up the skin details. And if you do 12 steps on the sampler (instead of 8), it will add even more skin textures/details (usually too much, but you be the judge of that).So while V2 is a huge improvement on realism/skin detail compared to V1, it is still not at the level of Krea 2 base quality. Maybe that is impossible, I don't know. But I did a lot of A/B testing with my V2 LoRA and the Krea 2 base, and the skin detail/realism was decently close (at least to my eyes). But my LoRA definitely does reduce the level of overall detail compared a baseline Krea 2 sample. Clothes might not be as detailed, there will be less stuff in the backgrounds etc.Give it a try and let me know what you think. I've only done a very limited amount of testing (a few hundred images/prompts), so no doubt I am unaware of a lot of potential downsides (or maybe even some unknown upsides). Either way, for those who really hated that V1 was so smooth and lacked skin details, this should get a little bit closer to what you may want. -------------------------------------------------- Original Post: Krea 2 is an incredible image model, and it's looking more and more like it will be the true successor to Stable Diffusion 1.5/SDXL in terms of mass adoption and post-release training (LoRA's, model finetunes, etc). But the base model and all the other LoRA's (so far) have only focused on the, uh.... roast beef sandwich aspect of the vagina. Lots of wrinkly meat folds (very pronounced inner vulvas). And if that's your thing, I got no beef with you.But for me, I like a cleaner look. Smooth curvy lines that are proportionally plumped up to an aesthetically pleasing degree. Simple, basic, not complex. m99's Labiaplasty LoRA's are, IMO, the golden standard for innies, and I hope they eventually release something for Krea 2. But since training this model is surprisingly fast (and very effective), I thought I would give it a try myself. And I'm honestly shocked at how well this LoRA turned out (at least with the tests I've done so far).Training Info:My training dataset consisted entirely of synthetic images of women that I generated using m99's Labiaplasty LoRA with Stable Diffusion 1.5 (Cyberrealistic) and Flux.2 Klein 9B models. On all the images only the lower body (crotch/butt) were cropped/used, so there should be little (ideally none) influence on character faces/hair/body or even overall model styles or compositions.This should stack with other LoRA's very well, though it will be diluted and will compete when stacking (especially if the other LoRA is also trained on vaginas), so adjust the strength of it and others accordingly to achieve a proper innie. From what I've tried with stacking, it almost always has a positive effect on the vagina even if it doesn't make it a true innie (plumping up the outer lips and reducing the overall inner vulva size). It's actually quite nice and allows for some great vaginal customization in this regard when combining with other vagina LoRA's or all-in-ones.Usage:I did not add a trigger word or any captions to this LoRA. To make it work, just enable and set the strength to whatever works best for you. It is trained at 1.00 strength. If stacking, you may need to adjust it higher (or adjust other LoRA's lower) to get the right results.

Innie Vagina (Puffy Labia Majora)

Hybrid of version 1 and version 2, balancing the best of both. This is not a simple merge, it is a complete retrain and refocus.

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