Light Concepts
Training data is a collection of various light concepts I enjoy using that are not overly represented in large datasets, trained as a single lora.
ℹ️ LoRA work best when applied to the base models on which they are trained. Please read the About This Version on the appropriate base models and workflow/training information.
I've trained many of these concepts before, generally they are nice to use to enhance the lighting of generations or give interesting effects.
Trained on a large mixed NL and tags dataset, at mixed [1024, 1536] resolutions. Previews are mostly generated at 1024x1536 with a combination of tags and NL prompts.
Concept tags
Not limited to, but collected by works containing:
dispersion
hue shifting
refraction
subsurface scattering
translucent
bioluminescence
caustics
dappled moonlight
glowing hot
ultraviolet lightWorks best in combination with NL if you name a character, describe their basic appearance, and finish with descriptions of light sources and their effects on the scene:
A vibrant and dynamic illustration of Hoshimachi Suisei from Hololive, featuring her squatting in front of a glowing triangular prism.
A beam of white light enters the prism from the left and refracts into a vibrant rainbow on the right. The background is a solid dark grey to emphasize the lighting effects.Description
Trained on Anima Preview 2
Assume that any lora trained on the preview version won't work well on the final version.
Made some small adjustments to the dataset to include more concepts, like "hygge lighting".
First attempt using the same config as v1 on Anima Preview 1
Tried some different approaches for Preview 2 training, but they did not produce better results