sparse-lavida-diffusion

Accelerate masked discrete diffusion models by dynamically truncating unnecessary masked tokens while maintaining complete representation through positional information. Use register tokens as compressed representations, implement step-causal attention masks for bidirectional context. Achieve 1.95-2.83× speedups across generation tasks.

Independent GitHub snapshot · Automated classification · Original documentation governs