InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation

Understand

In the field of personalized image generation, the ability to create images preserving concepts has significantly improved.

• Creating an image that naturally integrates multiple concepts in a cohesive and visually appealing composition can indeed be challenging.
• This paper introduces "InstantFamily," an approach that employs a novel masked cross-attention mechanism and a multimodal embedding stack to achieve zero-shot multi-ID image generation.
• Our method effectively preserves ID as it utilizes global and local features from a pre-trained face recognition model integrated with text conditions.