Zephyr is a stylistic LoRA trained on a highly opinionated, handpicked dataset, aiming to produce a half-anime, half-artistic look, ideally with a kind of "crisp" look to it.

Zephyr doesn't require trigger words, as it was trained without captions, and freezes the text encoder weights, meaning that it's applying the aesthetic bias only through the UNet. Considering this, Zephyr shouldn't conflict with other LoRAs.