SANA is NVIDIA Labs open-source codebase for high-resolution image and video generation (9k+ stars, Apache-2.0, PyTorch). Its efficiency comes from two structural changes: linear attention replaces vanilla attention in the transformer, and a deep compression autoencoder compresses images 32x instead of the usual 8x. Official figures: the 0.6B model renders a 1024 image in 0.9 s, roughly one fortieth of FLUX-dev 23 s, while FID improves from 10.15 to 5.61. The series now spans one-step generation, video, world models and streaming editing, and runs 4K in 8 GB of VRAM under 4-bit quantization. No benchmarks reproduced; recorded as unverified.
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