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SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer research paper by NVIDIA, 2025

NVIDIA · Sep 29, 2025 · Inference and efficiency · 91 citations · 55 upvotes · unverified

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What it shows

SANA-Video, a small diffusion model, efficiently generates high-resolution, high-quality videos with strong text-video alignment using linear attention and a constant-memory KV cache, achieving competitive performance at a lower cost and faster speed.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Junsong Chen, Yuyang Zhao, Jincheng Yu and 17 more
arXiv
2509.24695 · PDF
Venue
arXiv.org
Citations
91, 9 influential · Semantic Scholar
Upvotes
55 · Hugging Face
Code
github.com/NVlabs/Sana
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 9Sep 25, 2026
Citationsfirst count: 91Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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