Esthetic Futanari + Trap

Aesthetically beautiful futanari and traps.

TR5.8R (more poses (masturbation, sex) more retro, more realism).

TRW1.56CON Boosty (NEW VERSION - added chastity cage, condom on penis, greatly increased dataset, diversity and stability)

P.P.S. new model Anime Screencap / LORA / PONY DIFFUSION and NEW ERA 3.0 (MODEL) PONY DIFFUSION / SDXL on Boosty

For many arts, combinations of my lore were used, such as: Esthetic 90s style, Esthetic Urushihara Satoshi, Esthetic Lina Inverse (but new version from boosty)

I made a video on how to achieve the same quality or just repeat my art

Lora trained on almost 700 images with manual prompts settings. Few big cocks, mostly medium and small ones in the sample, because models like to make house-sized cocks, I don't like that.

changes in version TRW1.4CC:

• added chastity cage

• The dataset has been more than doubled

• the quantity and quality of anime art has been increased, which should have a positive effect on the “anime” style

• heavily reworked prompting

Eta noise seed delta 31337

Use model VividOrangeMix1.0_NSFW

or OrangeMixAOM3B4

or Abyssorangemix3aom3_aom3a3.safetensors model

or aom3a1

VERSION 5.0R much better with low weights. Use a weight around 0.2-.0.7, 0.8 and up is too "stylized" and too one-sided. Below 0.4 often makes a pussy, but you can try and add some basic key prompts: penis, futanari, otoko no ko, female focus, frenulum, small penis, large penis (carefully, but work), medium penis
flaccid, phimosis - helps with size reduction and do what they say

Negative promts: artist name (necessarily, most of the art with watermarks), (worst quality, low quality, extra digits:1.4), multiple penises, multiple hands, multiple testicles,

just use hires fix as much as your video card is capable of, so as not to give an error, with 8gb of video memory it is 512x768 with hires fix 2, upscaler Latent (nearest-exact) or just Latent (if there are problems with the image), the picture will be much more detailed.

CFG Scale - 5

I used arts mainly: exlic, tofuubear, personalami and many many others

The training took place at a resolution of 512x768, so it makes no sense to use 512x512

Combined with my other LORA

How to use LoRA's in auto1111:

• Update webui (use git pull like here or redownload it)

• Copy the file to stable-diffusion-webui/models/lora

• Select your LoRA like in this video

• Make sure to change the weight (by default it's :1 which is usually too high)

  *Information taken from Lykon

  page on Hugging Face https://huggingface.co/OneRing/TP3.7.safetensors

  Please post your work with or without comments, it will help me improve. Thanks!

  If you like my work, click on the heart above, I will be pleased :3