Magic Insert: Style-Aware Drag-and-Drop

Researchers at Google have introduced Magic Insert, a novel method enabling the drag-and-drop of subjects from one image to another with different styles, resulting in realistic and style-aware insertions. The approach involves two key components: style-aware personalization and realistic object insertion in stylized images. By fine-tuning a text-to-image diffusion model and adapting it to the target style, Magic Insert outperforms traditional methods like inpainting. The team also developed a dataset called SubjectPlop to aid evaluation and future advancements in this field. Additionally, the method incorporates Bootstrap Domain Adaptation to enhance the model's ability to generalize across diverse artistic styles. Results showcase the effectiveness and versatility of Magic Insert in various scenarios, from photorealistic scenes to cartoons and paintings. The approach allows for attribute modifications and trade-offs between editability and fidelity, offering a new level of flexibility and creativity in image manipulation.