v4.0
Trained with only img2img dataset (52 images) and double as long (20 epochs). Works better with more elaborate prompts. Still have problems with glitchy anatomy.

v3.0
This one is actually just merge of two prewious (v1.5 from civit trainer and v2 with low dimentions).
Results are better, though it appears that process of merging two tensors together even without any modifications (pure math, mimiking what happens inside of lora loader) still hinders quality. I suppose such is the price for compacting everything into one file instead of two separate.
If you want better results, use specified loras separately.

v2.0
This ona was trained on my machine with ai-toolkit trainer.
Set dimention and alpha to 4, used same dataset and 500 steps.

Better holds general pose, but, expectedly, fails with details.

General
Main idea of this lora is to generate pictures of fisting, when arm is almost all the way inside of another person (preferrably - elbow not visible and shoulder close to hole). Still laking, but already able to generate good images. And only similar one I managed to fine on this site is this one from user @HaydenHoosk but it is specifically tailored for generating furries (not my style, deffinetly).

LoRA is trained with semi-syntetic dataset. Halve is made by passing real images from "orange youtube" through depth+openpose controlnets and other halve was generated with my supervision. I am still new in this field, so I don't quite understand wich settings of trainer and qualities of dataset impact what, but I will be improwing this model in the future.

If anyone has good explanations or observations, I will be wery glad to hear them in the comments.