Nvidia's 100KB image model trains in 4 minutes
Nvidia researchers just unveiled Perfusion, a lightweight personalization method for text-to-image models that takes up only 100KB. Developed with Tel-Aviv University, it trains in four minutes and uses "Key-Locking" to keep an object's visual identity while avoiding overfitting. Why it matters: It delivers results comparable to multi-gigabyte models like DreamBooth while taking up virtually no disk space.