Realistic Vaginas - ??????????? 1

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@mods - these images are trained from public images from Reddit (ex. r/innie). Does not violate any ToS. Pls do not remove <3

Innie ????? 1 - a rare delight. Not so often do you see a girl with such a tucked in look. Super hot. (All images & models are prompted with 18+ descriptions & trained with 18+ models!)

Read Me!

TWO VERSIONS (I RECOMMEND USING BOTH):

• InniePussy1 v4: Trained on SD 1.5 base model, compatible with all models

  • USE THIS LORA FOR INITIAL TXT2IMG GENS

  • For txt2img & img2img: LoRA weight between 0.2-0.6 for best results

    • v4 (like v1-v3) is meant to be strong, which lets you mix with other LoRAs (ex. face) much more easily

• InniePussy1 v4 Inpainting: Trained on LazyMix+, the best all around checkpoint for highly-detailed pussies

  • USE THIS LORA FOR INPAINTING AND/OR UPSCALING

  • For txt2img & img2img: LoRA weight between 0.5-1 for best results (higher values can affect the skin texture more)

Version 4 (retrained, new inpainting LoRA)

• InniePussy1 v4

  • HUGE improvements to quality

    • v3 appeared ok at first, but I later realized it was singlehandedly making the image quality horrible. Huge changes to training dataset to fix

  • Revert to SD 1.5 base model (better compatibility across all checkpoint models)

  • Substantial changes to training dataset (replaced all poor quality images)

    • Many pics were edited to make more aesthetic

  • 576x576

  • 1 epoch, 100 repeats, 28 images

    bucket 0: resolution (448, 576), count: 100

    bucket 1: resolution (448, 704), count: 600

    bucket 2: resolution (512, 512), count: 100

    bucket 3: resolution (512, 640), count: 100

    bucket 4: resolution (576, 576), count: 1900 (majority of images were cropped to 1:1 aspect ratio)

  • Removed 'aroused_pussy' tag & related images

  • Tags

    • includes 'front pussy', 'cameltoe' (use in combination with 'standing')

      • pretty weak, only 4 images, mainly just to accommodate various front poses

    • includes 'rear pussy' (use in combination with 'butt', 'ass', 'bending over')

    • includes 'slit_pussy' (notice underscore)

    • includes 'open_pussy' (notice underscore)

• InniePussy1 v4 Inpainting

  • 512x768 (MUST USE 512x768 2:3 ASPECT RATIO FOR BEST RESULTS!)

  • 5 epochs, 25 repeats, 28 images

• Read Recommended Settings and Notes for tips on how to get the best results

Recommended Settings

• NEW: ChilloutMix derived models (ex. MajicMix, PerfectWorld, RevAnimated) occasionally struggle with this LoRA for who knows why, be patient and INPAINT

• NEW: any instance of a perfect line is tagged with 'slit_pussy'

• NEW: any instance with even the slightest opening is tagged with 'open_pussy' (good to put in negative)

• For txt2img: v4 LoRA weight of <=0.6

  • You can generate the composition in txt2img, then edit further with img2img/inpainting with this LoRA or v4 Inpainting LoRA

  • HiRes Upscale: Denoising <=0.3 (higher than 0.3 can result in double ???????? - not what you want). I usually use 0.2

  • Put (fingers:1.5) in negative prompt if you don't wanna deal with stupid fingers

  • For animated models, you may need to raise the weight even more depending on the composition (WARNING: CAREFUL NOT TO GO TOO HIGH, MAY NEGATIVELY IMPACT IMAGE QUALITY), then inpaint for a more perfect result

• For img2img: v4 LoRA weight of 0.4-0.6

• Inpainting: use ??????????1 v4 Inpainting, LoRA weight of 0.5-1

  • Masked Content = Original

  • Inpaint area: Whole Picture for better integration, Only Masked for just masked area - may want to adjust prompt if using Only Masked

  • Padding medium size (ex. 80-100), denoising around 0.2-0.8 depending on how drastic of a change you want (0.45 is a good number)

• Best models: Real Hot Mix, LazyMix+

  • Real Hot Mix is a mix I created to include LazyMix with some other photoreal models

  • LazyMix+ utilizes Subreddit v3, where you can add "A photo from the ____ subreddit, ____ quality" to the prompt (ex. ?????, GodPussy, or AsiansGoneWild) for more variation

Notes

• Tips on getting extremely high-quality results:

  1. Generate large batch in txt2img, set v4 LoRA weight lower for full body pics (somewhere between 0.2-0.6). I use Real Hot Mix for all txt2img gens

     • HIGHLY recommend using ControlNet, I mostly use softedge & openpose for composition, recently started using t2ia color grid as well

  2. Select best pics, crop/edit outside of SD, inpaint as needed (ex. v4 Inpainting LoRA)

  3. Insert edited pic into img2img with same/mostly same prompt, LoRA weight around 0.4-0.6

  4. Denoising between 0.2-0.5, generate

  5. Select best pics, crop/edit outside of SD, inpaint as needed (ex. v4 Inpainting LoRA)

  6. Repeat steps 3-5 as many times as needed

  7. Insert edited pic into img2img with same/mostly same prompt

  8. Denoising between 0.1-0.3, upscale: (1.25x-2x), generate

• Don't forget to go outside and touch grass

Background

I'm a ????? dude and I've seen a lot of ???????. I believe they're all unique, like a face. But different ??????? also have very repeatable looks/themes. The plan is to create a set of LoRAs with categories of ????? types using images of the same model. Eventually it will be like a catalog to select which LoRA for the type of ????? you're looking for.

Contact me at [email protected]

Version 3

• HUGE improvements to quality & realism

• New base model (SD 1.5 --> Real Hot Mix)

• Improved skin textures

• Renamed file from 'GodPussy2 Innie' to '??????????? 1'

• Increased # of training images & steps

• 512x512

• Tags

  • Now includes 'front pussy', 'cameltoe'

  • Now includes 'rear pussy'

  • Now includes 'aroused_pussy' (notice underscore)

  • Now includes 'slit_pussy' (notice underscore)

• Read Recommended Settings and Notes for tips on how to get the best results

Version 2

• Big improvements to overall look, consistency

• Big improvements for txt2img use

• Lowered issues with double ???????? (still not perfect, but better)

• Renamed file from 'sd v s gp2 i' to 'GodPussy2 Innie'

• Used a mix of Photoshop and SD to improve training process

  • Create a LoRA, generate images with LoRA, choose best images, Photoshop if needed, retrain new LoRA with those images, repeat