NVIDIA · aidanfnv · Jul 15, 2026 · Jul 15, 2026 · Jul 15, 2026 · Jul 16, 2026
diff --git a/docs/source/_static/performance/sana_wm_bidirectional/perf-bf16-gb202.md b/docs/source/_static/performance/sana_wm_bidirectional/perf-bf16-gb202.md
@@ -0,0 +1,5 @@
+# SANA-WM_bidirectional BF16 Benchmark Data (ms)
+
+| device | official | flashdreams |
+| --- | ---: | ---: |
+| GB202 | 101874.59 | 96353.88 |
diff --git a/docs/source/_static/performance/sana_wm_streaming/perf-bf16-gb202.md b/docs/source/_static/performance/sana_wm_streaming/perf-bf16-gb202.md
@@ -0,0 +1,5 @@
+# SANA-WM_streaming BF16 Benchmark Data (ms/chunk)
+
+| device | official | flashdreams |
+| --- | ---: | ---: |
+| GB202 | 1849.65 | 3660.15 |
diff --git a/docs/source/_static/performance/sana_wm_streaming/perf-fp4-gb202.md b/docs/source/_static/performance/sana_wm_streaming/perf-fp4-gb202.md
@@ -0,0 +1,5 @@
+# SANA-WM_streaming FP4 Benchmark Data (ms/chunk)
+
+| device | official | flashdreams |
+| --- | ---: | ---: |
+| GB202 | 1308.22 | 6520.72 |
diff --git a/docs/source/_static/performance/sana_wm_streaming/perf-fp8-gb202.md b/docs/source/_static/performance/sana_wm_streaming/perf-fp8-gb202.md
@@ -0,0 +1,5 @@
+# SANA-WM_streaming FP8 Benchmark Data (ms/chunk)
+
+| device | official | flashdreams |
+| --- | ---: | ---: |
+| GB202 | 1552.48 | 3993.07 |
diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -239,6 +239,13 @@ invocation, the checkpoint source, and the per-implementation knobs.
 
       Camera-controllable image-to-video world model.
 
+   .. grid-item-card:: SANA-WM_streaming
+      :class-card: fd-feature
+      :link: models/sana_wm_streaming
+      :link-type: doc
+
+      Chunk-causal camera-controlled world model.
+
    .. grid-item-card:: FlashVSR
       :class-card: fd-feature
       :link: models/flashvsr
@@ -261,6 +268,14 @@ invocation, the checkpoint source, and the per-implementation knobs.
 
       Bidirectional Cosmos-Predict2 reference implementations (T2V / I2V, 2B).
 
+   .. grid-item-card:: SANA-WM_bidirectional
+      :class-card: fd-feature
+      :link: models/sana_wm_bidirectional
+      :link-type: doc
+
+      Bidirectional camera-controlled world model (Stage-1 DiT + LTX-2
+      refiner, 2.6B).
+
 .. Master toctree: one flat entry per top-level navbar item. Order
    here = order in the navbar.
 

diff --git a/docs/source/models/index.rst b/docs/source/models/index.rst
@@ -28,6 +28,8 @@ Models
    flashvsr
    hy_worldplay
    lingbot_world
+   sana_wm_streaming
+   sana_wm_bidirectional
    wan21
 
 FlashDreams runs a growing family of world and video models (text-to-video,
@@ -138,6 +140,14 @@ uses, and the settings you can tune.
 
       Action- and camera-controllable image-to-video world model.
 
+   .. grid-item-card:: SANA-WM_streaming
+      :class-card: fd-feature
+      :link: /models/sana_wm_streaming
+      :link-type: doc
+
+      Chunk-causal camera-controlled world model with streaming Stage-1,
+      refiner, and VAE paths.
+
 .. container:: fd-eyebrow
 
    Bidirectional Video Generation
@@ -172,6 +182,14 @@ uses, and the settings you can tune.
 
       Bidirectional Cosmos-Predict2 reference implementations (T2V / I2V, 2B).
 
+   .. grid-item-card:: SANA-WM_bidirectional
+      :class-card: fd-feature
+      :link: /models/sana_wm_bidirectional
+      :link-type: doc
+
+      Bidirectional camera-controlled world model (Stage-1 DiT + LTX-2
+      refiner, 2.6B).
+
 .. container:: fd-eyebrow
 
    Super-resolution

diff --git a/docs/source/models/sana_wm_bidirectional.rst b/docs/source/models/sana_wm_bidirectional.rst
@@ -0,0 +1,171 @@
+.. SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+.. SPDX-License-Identifier: Apache-2.0
+..
+.. Licensed under the Apache License, Version 2.0 (the "License");
+.. you may not use this file except in compliance with the License.
+.. You may obtain a copy of the License at
+..
+.. http://www.apache.org/licenses/LICENSE-2.0
+..
+.. Unless required by applicable law or agreed to in writing, software
+.. distributed under the License is distributed on an "AS IS" BASIS,
+.. WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+.. See the License for the specific language governing permissions and
+.. limitations under the License.
+
+SANA-WM_bidirectional
+===================================
+
+.. container:: fd-cta-row
+
+   .. button-link:: https://nvlabs.github.io/Sana/
+      :color: primary
+
+      Project page
+
+   .. button-link:: https://arxiv.org/abs/2410.10629
+      :color: primary
+
+      arXiv paper
+
+   .. button-link:: https://huggingface.co/Efficient-Large-Model/SANA-WM_bidirectional
+      :color: primary
+
+      Checkpoint
+
+   .. button-link:: https://github.com/NVlabs/Sana
+      :color: primary
+
+      Official code
+
+``SANA-WM_bidirectional`` is the full-sequence, camera-controlled
+`NVlabs/Sana <https://github.com/NVlabs/Sana>`_ world model release. Given a
+first frame, a text prompt, and a camera trajectory, it renders a video clip in
+a single bidirectional pass. FlashDreams runs it through the
+``sana-wm-bidirectional`` runner with a native Stage-1 DiT and an LTX-2 refiner.
+
+The sibling streaming release has a separate model card:
+:doc:`sana_wm_streaming`.
+
+Requirements
+------------
+
+- **PyTorch**: >= 2.9.
+- **Precision**: BF16 by default. The FlashDreams runner also exposes opt-in
+  FP8 and FP4 execution paths, but the upstream-vs-FlashDreams benchmark for
+  ``SANA-WM_bidirectional`` is BF16-only because upstream
+  ``SANA-WM_bidirectional`` does not support those precision flags.
+
+Installation
+------------
+
+.. code-block:: bash
+
+   # from the repo root
+   uv sync --package flashdreams-sana-wm --extra dev
+
+Running the method
+------------------
+
+Launch the ``sana-wm-bidirectional`` runner with a first-frame image, a prompt,
+and a camera trajectory:
+
+.. code-block:: bash
+
+   uv run flashdreams-run sana-wm-bidirectional \
+       --image-path ../Sana/asset/sana_wm/demo_0.png \
+       --prompt-path ../Sana/asset/sana_wm/demo_0.txt \
+       --camera-path ../Sana/asset/sana_wm/demo_0_pose.npy \
+       --intrinsics-path ../Sana/asset/sana_wm/demo_0_intrinsics.npy \
+       --num-frames 161 \
+       --output-dir outputs/sana_wm_bidirectional_bf16
+
+The demo image, prompt, camera, and intrinsics files ship with the
+``SANA-WM_bidirectional`` release; equivalent inputs with matching shapes work
+as well.
+
+Optional inputs and knobs
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+- ``--intrinsics-path`` is optional. When omitted, intrinsics are derived from
+  the first-frame size, assuming a centered principal point and a horizontal
+  field of view of ``--intrinsics-hfov-deg``.
+- ``--camera-path`` can be replaced by an ``--action`` DSL string:
+
+  .. code-block:: bash
+
+     uv run flashdreams-run sana-wm-bidirectional \
+         --image-path my_frame.png \
+         --prompt "a scene description; describe the world's own motion" \
+         --action "w-100,dw-60,w-101" \
+         --num-frames 161 \
+         --output-dir outputs/mine
+
+- ``--no-refiner True`` runs Stage-1 only, for diagnostics.
+
+To inspect all supported CLI arguments and their default values, run:
+
+.. code-block:: bash
+
+   uv run flashdreams-run sana-wm-bidirectional --help
+
+What to expect
+--------------
+
+- **Model checkpoint**: pulled from
+  ``huggingface.co/Efficient-Large-Model/SANA-WM_bidirectional`` on first run.
+- **First launch**: a few minutes for download and warmup; subsequent launches
+  reuse local caches.
+- **Outputs**: ``outputs/<output-dir>/sana-wm-bidirectional.mp4``.
+
+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 GB202,
+FlashDreams measured 96,353.88 ms per clip versus 101,874.59 ms for the
+official implementation.
+
+In this chart, ``Official Impl`` means the pinned NVlabs/Sana upstream
+implementation measured by the FlashDreams parity harness under matched
+settings. It is not the SANA-WM 80-scene benchmark result published by the
+model authors.
+
+.. raw:: html
+
+   <figure class="benchmark-figure-wrap">
+     <div
+       id="sana-wm-bidirectional-bf16-benchmark-chart"
+       class="benchmark-figure"
+       data-benchmark-md-url="../_static/performance/sana_wm_bidirectional/perf-bf16-gb202.md"
+       data-benchmark-series="official:Official Impl:#3b82f6;flashdreams:FlashDreams:#76B900"
+       data-chart-aria-label="SANA-WM bidirectional BF16 benchmark chart"
+     ></div>
+     <figcaption>
+       <p class="model-footnote">
+         This chart shows steady-state in-process generation latency per generated clip in milliseconds for a
+         121-frame full-pipeline BF16 run (Stage-1 DiT + LTX-2 refiner + SANA VAE decode).
+         The measured row used one NVIDIA GB202 GPU, one live warmup generation, and three measured generations.
+         Model construction, checkpoint loading, video writing, and frame dumps are outside the timing boundary.
+         The upstream checkout was pinned to commit 6298508.
+       </p>
+     </figcaption>
+   </figure>
+  <script src="../_static/js/benchmark_chart.js"></script>
+
+Citation
+--------
+
+If you use SANA-WM, please cite the original SANA work:
+
+.. code-block:: bibtex
+
+   @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}
+   }