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, 1280] 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 light

Works 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.