Textual jabber material-to-image モデルの迅速なパーソナライゼーションのためのエンコーダベースの主にドメイン チューニング
TL;DR: We use an encoder to personalize a text-to-image model to new concepts with a single image and 5-15 tuning steps. Abstract Text-to-image personalization aims to teach a pre-trained diffusion model to reason about novel, user provided concepts, embedding them into new scenes guided by natural language prompts. However, current personalization approaches struggle with lengthy…