Update README.md

README.md

@@ -11,4 +11,27 @@ pipeline_tag: text-to-video
 ---
 
 convert TurboWan2.1-T2V-1.3B-480P(https://modelscope.cn/models/TurboDiffusion/TurboWan2.1-T2V-1.3B-480P/summary) to TurboWan2.1-T2V-1.3B-Diffusers<br>
-convert script: https://github.com/IPostYellow/TurboWan_to_Diffusers/blob/main/convert_turbowan21_to_diffusers.py
+convert script https://github.com/IPostYellow/TurboWan_to_Diffusers/blob/main/convert_turbowan21_to_diffusers.py
+
+To use in sglang<br>
+bash server:
+```bash
+sglang serve \
+    --model-path  /path/TurboWan2.1-T2V-1.3B-Diffusers \
+    --dit-cpu-offload false \
+    --text-encoder-cpu-offload false \
+    --image-encoder-cpu-offload false \
+    --vae-cpu-offload false \
+    --pin-cpu-memory false \
+    --num-gpus 1
+```
+
+send request:
+```python
+import requests
+prompt="A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse. She wears sunglasses and red lipstick. She walks confidently and casually. The street is damp and reflective, creating a mirror effect of the colorful lights. Many pedestrians walk about."
+headers = {
+    "Content-Type": "application/json",
+}
+requests.post("http://localhost:3000/v1/videos",headers=headers,json={'prompt': prompt, 'size': '832x480','num_inference_steps':4,'fps':16,'num_frames':81,'negative_prompt':None,'seed':0,})
+```