A lightweight way to fine-tune an image model to reproduce a specific subject or style.
LoRA, short for Low-Rank Adaptation, is a lightweight method for fine-tuning an image model so it can reproduce a specific subject, character, or style without retraining the whole model.
LoRAs are one technical approach to consistency: train one on a person or product and the model can generate that subject repeatedly. Modern brand systems abstract this away, letting you save an element and reuse it without managing training yourself.
Teaching a model a specific face, product, or style so it can be generated consistently across many images.
Not with modern tools. Systems like LUNA let you save and reuse an element without manually training or managing LoRAs.