[Model] Add native SANA-Video 2B T2V and I2V support (#5508)

Signed-off-by: leo <92263211+napleon-liu@users.noreply.github.com>
Signed-off-by: leo <92263211+liuyao0322@users.noreply.github.com>
Signed-off-by: liuyao0322 <yaoliu548926@gmail.com>
Co-authored-by: leo <92263211+napleon-liu@users.noreply.github.com>

docs/user_guide/examples/offline_inference/image_to_video.md

@@ -4,8 +4,8 @@ Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inf
 
 
 This example demonstrates how to generate videos from images using Wan2.2,
-LTX-2, and HunyuanVideo-1.5 Image-to-Video models with vLLM-Omni's
-offline inference API.
+LTX-2, HunyuanVideo-1.5, and SANA-Video Image-to-Video models with
+vLLM-Omni's offline inference API.
 
 ## Local CLI Usage
 
@@ -66,9 +66,49 @@ python image_to_video.py \
 See the [LTX-2 recipe](../../../../recipes/LTX/LTX-2.md) for all checkpoints,
 pipeline selection, T2V, defaults, and advanced options.
 
+### SANA-Video-2B
+
+SANA checkpoints identify their upstream T2V pipeline in `model_index.json`.
+Select the native I2V implementation explicitly:
+
+```bash
+python image_to_video.py \
+  --model Efficient-Large-Model/SANA-Video_2B_480p_diffusers \
+  --model-class-name SanaImageToVideoPipeline \
+  --image cherry_blossom.jpg \
+  --prompt "Cherry blossoms sway in the breeze as petals drift past the camera." \
+  --negative-prompt "blurry, low quality, temporal artifacts" \
+  --height 480 \
+  --width 832 \
+  --num-frames 81 \
+  --num-inference-steps 50 \
+  --guidance-scale 6.0 \
+  --extra-body '{"motion_score": 30}' \
+  --fps 16 \
+  --seed 42 \
+  --output sana_video_i2v_480p.mp4
+```
+
+For the 720p checkpoint, use
+`Efficient-Large-Model/SANA-Video_2B_720p_diffusers` with
+`--height 704 --width 1280`. The native I2V path supports both checkpoint
+variants: the 480p checkpoint uses the Wan VAE, while the 720p checkpoint uses
+the LTX-2 Video VAE.
+
+For SANA-Video, 81 frames at 16 FPS is the standard checkpoint request
+(approximately five seconds), not minute-scale long-video generation.
+Minute-scale SANA generation requires the separate LongSANA/LongLive
+autoregressive workflow, which this pipeline does not implement.
+
+See the [SANA-Video recipe](../../../../recipes/NVIDIA/SANA-Video-2B.md) for
+online serving, backend boundaries, and the tested hardware profile.
+
 Key arguments:
 
-- `--model`: Model ID (I2V-A14B for MoE, TI2V-5B for unified T2V+I2V, or LTX-2).
+- `--model`: Model ID or local path (for example Wan I2V/TI2V, LTX-2, or
+  SANA-Video).
+- `--model-class-name`: Explicit pipeline override. SANA-Video I2V requires
+  `SanaImageToVideoPipeline`.
 - `--image`: Path to input image (required).
 - `--prompt`: Text description of desired motion/animation.
 - `--height/--width`: Output resolution (auto-calculated from image if not set).

docs/user_guide/examples/offline_inference/text_to_video.md

@@ -16,6 +16,8 @@ For backend selection and SageAttention usage, see the [Diffusion Attention Back
 | `Lightricks/LTX-2` | 512x768 | 121 | 40 | video 3.0 / audio 7.0 | Model-dependent |
 | `hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_t2v` | 480x832 | 121 | 50 | 6.0 | 1×A100 80GB |
 | `hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_t2v` | 720x1280 | 121 | 50 | 6.0 | FP8 + VAE tiling required |
+| `Efficient-Large-Model/SANA-Video_2B_480p_diffusers` | 480x832 | 81 | 50 | 6.0 | BF16 DiT + FP32 Wan VAE |
+| `Efficient-Large-Model/SANA-Video_2B_720p_diffusers` | 704x1280 | 81 | 50 | 6.0 | ~23.6 GiB |
 
 ## Local CLI Usage
 
@@ -122,6 +124,31 @@ python text_to_video.py \
   --output quick_test.mp4
 ```
 
+### SANA-Video-2B
+
+```bash
+python text_to_video.py \
+  --model Efficient-Large-Model/SANA-Video_2B_480p_diffusers \
+  --model-class-name SanaVideoPipeline \
+  --prompt "A cinematic tracking shot of a sailboat crossing the ocean at sunset." \
+  --height 480 \
+  --width 832 \
+  --num-frames 81 \
+  --num-inference-steps 50 \
+  --guidance-scale 6.0 \
+  --extra-body '{"motion_score": 30}' \
+  --fps 16 \
+  --output sana_video_480p.mp4
+```
+
+For the 720p checkpoint, switch the model to
+`Efficient-Large-Model/SANA-Video_2B_720p_diffusers`, use
+`--height 704 --width 1280`, and write to a different output path. SANA-Video
+accepts `motion_score`, `clean_caption`, and `use_resolution_binning` through
+`--extra-body`. For image-to-video, use the shared
+`examples/offline_inference/image_to_video/image_to_video.py` example with
+`--model-class-name SanaImageToVideoPipeline` and `--image <path>`.
+
 ## Key Arguments
 
 ### Common