Update README.md

README.md

@@ -38,6 +38,36 @@ FastWan2.1-T2V-1.3B-Diffusers is built upon Wan-AI/Wan2.1-T2V-1.3B-Diffusers. It
   - [1 Node/GPU debugging finetuning script](https://github.com/hao-ai-lab/FastVideo/blob/main/scripts/distill/v1_distill_dmd_wan_VSA.sh)
   - [Slurm training example script](https://github.com/hao-ai-lab/FastVideo/blob/main/examples/distill/Wan2.1-T2V/Wan-Syn-Data-480P/distill_dmd_VSA_t2v_1.3B.slurm)  
   - [Inference script](https://github.com/hao-ai-lab/FastVideo/blob/main/scripts/inference/v1_inference_wan_dmd.sh)
+```python
+# install FastVideo and VSA first
+git clone https://github.com/hao-ai-lab/FastVideo
+pip install -e .
+cd csrc/attn
+git submodule update --init --recursive
+python setup_vsa.py install
+
+num_gpus=1
+export FASTVIDEO_ATTENTION_BACKEND=VIDEO_SPARSE_ATTN
+export MODEL_BASE=FastVideo/FastWan2.1-T2V-1.3B-Diffusers
+# export MODEL_BASE=hunyuanvideo-community/HunyuanVideo
+# You can either use --prompt or --prompt-txt, but not both.
+fastvideo generate \
+    --model-path $MODEL_BASE \
+    --sp-size $num_gpus \
+    --tp-size 1 \
+    --num-gpus $num_gpus \
+    --height 480 \
+    --width 848 \
+    --num-frames 81 \
+    --num-inference-steps 3 \
+    --fps 16 \
+    --prompt-txt assets/prompt.txt \
+    --negative-prompt "Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards" \
+    --seed 1024 \
+    --output-path outputs_video_dmd/ \
+    --VSA-sparsity 0.8 \
+    --dmd-denoising-steps "1000,757,522"
+```
 - Try it out on **FastVideo** — we support a wide range of GPUs from **H100** to **4090**, and also support **Mac** users!
 
 ### Training Infrastructure