Efficient 5B/14B video model generating up to 720p on a single GPU, with visible artifacts. Not yet released but earlier Sana models were.
NVIDIA's 5B and 14B hybrid linear-attention video diffusion transformers generating up to 720p on a single GPU.
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Sana Video 2 at a glance
- What is Sana Video 2?
- Sana Video 2 is a model from Nvidia. NVIDIA's 5B and 14B hybrid linear-attention video diffusion transformers generating up to 720p on a single GPU.
- Who makes Sana Video 2?
- Sana Video 2 is made by Nvidia.
- Does Sana Video 2 work in the EU?
- Unverified. No explicit evidence found. The model appears to be a research release without a confirmed public download or service. Last verified 14 Nov 2026.
- How much does Sana Video 2 cost?
- Pricing unknown. No release, pricing or access terms found on the provided pages.
- Where was Sana Video 2 shown?
- In 1 creator video by AI Search. Most recently by AI Search on 26 Jul 2026, at 37:12 in “Claude Opus 5, GPT 6 hack, Flux 3, new Gemini, quantum breakthrough, new Qwen: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
SANA-Video 2.0 is a video diffusion transformer from NVIDIA Research (Efficient AI Team and Singapore Lab), released as a project page and paper. It comes in 5B and 14B parameter sizes under one architecture and targets video generation up to 720p on a single GPU. It is the successor to earlier SANA models. Some sources refer to it as "Sana Video 2"; the official name is SANA-Video 2.0.
The architecture combines gated linear attention with periodic gated-softmax "anchor" layers at a 3:1 ratio. Block Attention Residuals pass block summaries into later linear layers. The models are trained from scratch rather than linearized from pretrained models. The authors report a VBench score of 84.30 at 480p in 13.2 s on one H100 (40 steps). They also report a compiled DiT forward pass 3.2× faster than a full-softmax baseline at 720p/60s. With Sol-Engine optimizations (kernel fusion, caching, sparse attention), the 5B pipeline reportedly reaches 13.06 s for a 5 s 720p clip, which the authors say is 120× faster than Wan 2.2-A14B on one H100.
The provided pages do not give a code, weights or demo link. A YouTube reviewer said it was not yet released, though earlier SANA models were, and noted visible artifacts in the samples. Availability, license and pricing are therefore unconfirmed.
- 5B and 14B parameter hybrid video diffusion transformers
- Up to 720p generation on a single GPU
- Hybrid linear-softmax attention at a 3:1 ratio with Block Attention Residuals
- Reported VBench 84.30 at 480p in 13.2 s on one H100
- Sol-Engine optimizations: kernel fusion, caching, sparse attention
- Trained from scratch rather than linearizing pretrained models
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