Lightning Weave improves the accuracy-efficiency frontier of large reasoning models by composing capabilities from accuracy- and efficiency-oriented teachers into a single student through offline distillation.

Lightning OPD 2.0 enables effective cross-teacher on-policy distillation by mitigating style bias through cross-fitted residualization, allowing the SFT data generator and distillation teacher to be chosen independently.

An offline post-training method for Large Reasoning Models that eliminates the need for live teacher during on-policy distillation, achieving a 4.0x higher training speedup while maintaining state-of-the-art performance.

We present LongLive, a frame-level autoregressive (AR) framework for real-time and interactive long video generation. Try LongLive: turning your interactive prompts into long videos-instantly, as you type!

SANA-Sprint is a one-step distilled diffusion model enabling real-time generation; Deployable on laptop GPU; Top-notch GenEval & DPGBench results.

DC-Gen is a general post-training framework that accelerates pre-trained text-to-image diffusion models.