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NVIDIA Research Projects avatar

Sana

Linear diffusion transformer models for fast image and video generation

  • AI media
  • AI models and runtimes
View on GitHub
Website

What it is

NVIDIA Labs' codebase and open weights for the SANA family of diffusion models, covering text-to-image, text-to-video, few-step distilled variants, a camera-controllable world model, and streaming video editing. It ships full training and inference pipelines, plus reinforcement-learning post-training recipes and an inference acceleration engine. Researchers and developers use it to generate high-resolution images and 720p video on modest GPUs, or to train and fine-tune their own variants.

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Facts

Stars
9,413 GitHub stars.
9,413

Forks
753
Commits
215
Contributors
24
Language
Python
License
Apache-2.0
Last commit
Oct 19, 2026
On GitHub since
October 2024
First release
March 2025
Platforms
Linux, library
Self-hostable
No
Alternative to
Midjourney, FLUX.1 Pro, Sora
Tags
  • model-training
  • video-generation
  • image-generation
  • reinforcement-learning
  • open-weights
  • model-optimization

Last synced from GitHub on Oct 20, 2026

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What people are saying

Updated Oct 21, 2026
  • Hacker NewsSana high-resolution image and video generation from NVidiaMay 30, 2026 · 2 points · 0 comments (opens Hacker News in a new tab)