$\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion
Models by Leveraging CLIP Latent Space
$\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion
Models by Leveraging CLIP Latent Space
Despite the recent advances in personalized text-to-image (P-T2I) generative models, subject-driven T2I remains challenging. The primary bottlenecks include 1) Intensive training resource requirements, 2) Hyper-parameter sensitivity leading to inconsistent outputs, and 3) Balancing the intricacies of novel visual concept and composition alignment. We start by re-iterating the core philosophy of …