Linum trains Pyramid-JiT text-to-image model for $21K

Linum researchers pressure-tested their Pyramid-JiT pixel-space generative model through a $21,000 training run to evaluate its performance for future video models. The experiment demonstrated that the architecture converges efficiently in pixel space using aggressive token reduction, though the small two-billion-parameter model struggles with complex multi-entity scenes and rendered text. Open article →