SANA-WM
SANA-WM is NVlabs/Sana's camera-controlled world model family. FlashDreams
includes the chunk-causal streaming release, exposed through the
cam2v-sana-wm-streaming application, and the full-sequence bidirectional
release, exposed as a programmatic pipeline configuration.
Quick Start
Cam2V
uv sync --package flashdreams-sana-wm --inexact
uv run --no-sync flashdreams-run-v2 cam2v-sana-wm-streaming \
--mode webrtc --host 0.0.0.0 --port 8089 -- --example-data
Demo Presets
Cam2V
| Preset | Description |
|---|---|
cam2v-sana-wm-streaming |
Chunk-causal SANA-WM at 1280 x 704 with ten 24-frame blocks by default. |
Developer Details
- PyTorch: 2.9 or newer.
- Precision: BF16 by default. FP8 Stage-1/refiner inference is available on
Hopper or newer GPUs (
sm_90+), and FP4 is available on Blackwell (sm_100+). These upstream precision flags belong toSANA-WM_streaming.
Performance (Outdated)
The charts below compare steady-state generation latency per produced chunk for
FlashDreams SANA-WM_streaming and the official SANA-WM_streaming
implementation under matched settings. Warmup runs and the first decoded chunk
are excluded from the headline metric. These GB300 latency runs show the
official implementation faster than FlashDreams for BF16, FP8, and FP4.
In these charts, Official Impl means the pinned NVlabs/Sana upstream
implementation measured by the FlashDreams benchmark harness under matched
settings. It is not the SANA-WM 80-scene benchmark result published by the
model authors.
All charts use the same demo image/prompt, w-80,dw-40,w-80,aw-40
action path, 241 requested frames, one discarded warmup run, and three measured
runs. The benchmark runs recorded FlashDreams commit bd0816e and upstream
commit 6298508.
Bidirectional variant
SANA-WM_bidirectional renders a complete clip in one pass from a first frame,
prompt, and camera trajectory. It has no registered V2 application slug; use
the lower-level pipeline configuration:
The bidirectional model is available as a pipeline configuration:
from sana_wm.config import PIPELINE_SANA_WM_BIDIRECTIONAL
pipeline = PIPELINE_SANA_WM_BIDIRECTIONAL.setup().to("cuda").eval()
This is the integration's lower-level pipeline configuration.
Bidirectional profiling benchmark
The BF16 chart below compares steady-state in-process generation latency per
generated clip for FlashDreams SANA-WM_bidirectional and the official
SANA-WM_bidirectional implementation under matched settings on one NVIDIA
GB300 GPU. FlashDreams measured 34,182.39 ms per clip versus 56,932.83 ms for
the official implementation.
In this chart, Official Impl means the pinned NVlabs/Sana upstream
implementation measured by the FlashDreams benchmark harness under matched
settings. It is not the SANA-WM 80-scene benchmark result published by the
model authors.
Samples

Citation
If you use SANA-WM, please cite the original SANA work:
@misc{xie2024sana,
title={SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers},
author={Enze Xie and Junsong Chen and Junyu Chen and Han Cai and Haotian Tang and Yujun Lin and Zhekai Zhang and Muyang Li and Ligeng Zhu and Yao Lu and Song Han},
year={2024},
eprint={2410.10629},
archivePrefix={arXiv},
primaryClass={cs.CV}
}