Add SGLang-Omni serving instructions to README

README.md

@@ -140,6 +140,30 @@ See the [Tiny examples](https://github.com/inclusionAI/Ming-3.0-tts#ming-30-tts-
 python tools/preflight_tiny.py --model_path /path/to/Ming-3.0-tts-tiny
 ```
 
+## Serving with SGLang-Omni
+
+[SGLang-Omni](https://sgl-project.github.io/sglang-omni/) serves this checkpoint on one GPU:
+
+```bash
+sgl-omni serve --model-path inclusionAI/Ming-3.0-tts-tiny
+```
+
+Synthesize speech through the OpenAI-compatible endpoint:
+
+```bash
+curl -X POST http://127.0.0.1:8000/v1/audio/speech \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "inclusionAI/Ming-3.0-tts-tiny",
+    "input": "Get the trust fund to the bank early.",
+    "response_format": "wav",
+    "seed": 123
+  }' \
+  --output speech.wav
+```
+
+`response_format` accepts `wav`, `mp3`, `flac`, and `pcm`. For zero-shot voice cloning, pass `ref_audio` (a server-side path or a `data:` URL) together with `ref_text`, the transcript of the reference recording. See the [SGLang-Omni cookbook](https://sgl-project.github.io/sglang-omni/cookbook/ming3_tts.html) for details.
+
 ## Performance
 
 Benchmark comparisons from the [project README](https://github.com/inclusionAI/Ming-3.0-tts#performance).