Halide, a rank-96 DoRA for Krea 2, trained on 19,500 images.

The dataset includes anime/, cinematic movie stills, photos, 3D/SFM, and AI-gen from older models. It is captioned with a mix of tags and full sentences. Dataset gathering, tooling, and training took months of work, much of it built before Krea 2 even released. Trained at home locally with onetrainer.

It's not pure , but since that was Krea 2's weak point it got the most focus. Concepts and positions it was trained on:
Standing

Cowgirl


/
Lotus position
Reverse Lotus position
DP/
(lots of different kinks)
Pronebone
/
Sidefuck

/
Some like , magic wand/hitachi etc


Standing carry

Prompt with tags or sentences. For photos say photograph, raw photo, video still, (not photorealistic); for film-style try cinematic movie still. see the gallery.

For concepts and words normally associated with anime/booru the model can sometimes drift towards realistic-anime / 2.5D / 3D-looking images. It can help to use a two stage ksampler: first stage with the raw model and a cfg above 1 and a negative prompt. Some of my gallery images contain that 2x ksampler workflow I used, with toggle on/off.