InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning

Understand

Recent advances in personalized image generation allow a pre-trained text-to-image model to learn a new concept from a set of images.

• However, existing personalization approaches usually require heavy test-time finetuning for each concept, which is time-consuming and difficult to scale.
• We propose InstantBooth, a novel approach built upon pre-trained text-to-image models that enables instant text-guided image personalization without any test-time finetuning.
• We achieve this with several major components.