Lunara

Discover how Lunara models artistic intelligence with fewer active parameters

Lunara is asking a deceptively simple question: what if artistic intelligence could be modeled with fewer than 10 billion active parameters? Its Diffusion Mixture Transformer architecture, paired with a CAT training algorithm that actively refines its own data through human-inspired feedback, points toward a leaner future for image generation. The early results are compelling, leading aesthetic quality in both automated and blinded human evaluations. This is a thoughtful alternative to brute-force scaling, and it deserves a closer look.