RDBT | MOSS

A SFT LoRA from a personal all-in-one dataset, mainly for digital art and drawings, focusing on lighting, textures. Covered from wallpaper level digital art, to 5-min sketch

LoRA is trained against MOSS base (not SFT). Cover images are also from MOSS base. It works on SFT, but you might need to lower the strength.

Dataset contains ~2k images, handpicked by professional amateur artists. The criteria for evaluation are not visual appeal, but the drawing technique and the level of completion.

There is no fixed trigger words or style tags. All images are captioned by LLM. They are manually collected so there is no metadata. And I'm too lazy to classify them. (Most of the style can't be classified in just few words tbh. It's hard to describe art.). So I used high caption drop rate hoping the model can guide itself from it's high noise steps.

Versions:

(11/7/2026) v0.2:

Won't nuke turbo LoRA and styles anymore. We are in business.

v0.1 (serious bug, misaligned timesteps):

Same dataset as Anima v3.0. This is a test run.

EDIT: timesteps were misconfigured because I changed training tool from diffusion-pipe to ai-tookit, and were porting my patches.

Sharing merges using this model is not allowed. This "restriction" won't affect anyone. It's only aimed at those who steal others' models to sell.