>画像生成AIのStable Diffusionに数枚の画像を学習させ、AIモデル全体を再学習させて調整(ファインチューニング)を行う手法

>Using only 3-5 images of a user-provided concept, like an object or a style, we learn to represent it through new "words" in the embedding space of a frozen text-to-image model. These "words" can be composed into natural language sentences, guiding personalized creation in an intuitive way. Notably, we find evidence that a single word embedding is sufficient for capturing unique and varied concepts.