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Song Han

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Preprint Sep 2026

LongLive-Plug: Once-for-All Distillation for Video Generation

Video diffusion models are increasingly developed into specialized models for diverse downstream tasks, and this development often includes a distillation stage, for example to accelerate sampling or to improve long-video generation. This stage is typically repeated for every specialized model. We introduce LongLive-Pl...

Shuai Yang, Luo-Zhou Wang, Wei Huang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

d-OPD: Future-Aware On-Policy Distillation for Block Diffusion Language Models

Large language models (LLMs) typically generate text autoregressively (AR), predicting one token at a time. Block diffusion language models (dLLMs) instead generate blocks sequentially while denoising multiple tokens in parallel within each block, offering a promising way to accelerate generation. Rather than training...

Rui-Tao Liu, Qing-Hao Hu, Song Han · 0 citations
#artificial intelligence Preprint Sep 2026

Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge

Video diffusion models are rapidly scaling and exhibiting enhanced generation capabilities. Among these recent advancements, MiniMax-H3 stands out as a highly capable, production-level open-source model. However, its 33-billion parameters and multi-step iterative denoising process introduce substantial computational ov...

Yi-Tong Li, Jin-Cheng Yu, Jun-Song Chen et al. · 0 citations
Jul 2026

Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification

This paper introduces training-free Sol-Attn (Sparsifying online attention), which unifies dynamic routing, sparse computation, and approximation correction in a single online-softmax pass, achieving a better accuracy-efficiency trade-off in sparse attention.

Haopeng Li, Yitong Li, Junsong Chen et al. · 2 citations
Jul 2026

SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation

This work introduces SANA-Video 2.0, a hybrid video diffusion transformer instantiated at 5B and 14B scales under a unified architecture that recovers softmax-level expressiveness at substantially reduced cost, unlocking scalable long, high resolution video generation.

Junsong Chen, Jincheng Yu, Yitong Li et al. · 1 citation · ⚡1

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