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+# Qwen3-TTS for text-to-speech
+
+## Summary
+
+- Vendor: Qwen
+- Model: `Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice` (and VoiceDesign / Base variants)
+- Task: Text-to-speech with predefined voices, voice design, or voice cloning
+- Mode: Online serving with the OpenAI-compatible `/v1/audio/speech` API
+- Maintainer: Community
+
+## When to use this recipe
+
+Use this recipe when you want a known-good starting point for serving Qwen3-TTS
+models with vLLM-Omni and validate the deployment with the existing TTS client
+examples in this repository.
+
+Qwen3-TTS supports three task types, each backed by a dedicated model checkpoint:
+
+| Task Type     | Model                                    | Description                                                  |
+| ------------- | ---------------------------------------- | ------------------------------------------------------------ |
+| `CustomVoice` | `Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice`  | Predefined speaker voices with optional style/emotion control |
+| `VoiceDesign` | `Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign`  | Generate speech from a natural language voice description     |
+| `Base`        | `Qwen/Qwen3-TTS-12Hz-1.7B-Base`         | Voice cloning from reference audio + transcript              |
+
+Smaller 0.6B variants are also available for `CustomVoice` and `Base`.
+
+## References
+
+- Upstream or canonical docs:
+  [`docs/user_guide/examples/online_serving/qwen3_tts.md`](../../docs/user_guide/examples/online_serving/qwen3_tts.md)
+- Related examples under `examples/`:
+  [`examples/online_serving/qwen3_tts/`](../../examples/online_serving/qwen3_tts/),
+  [`examples/offline_inference/qwen3_tts/`](../../examples/offline_inference/qwen3_tts/)
+- Related issue or discussion:
+  [RFC: add recipes folder](https://github.com/vllm-project/vllm-omni/issues/2645)
+
+## Environment
+
+- OS: Linux
+- Python: 3.10+
+- vLLM / vLLM-Omni: use versions from your current checkout, >=0.20.0
+
+## Command
+
+Start the server from the repository root. Pick the model that matches your
+task type:
+
+```bash
+# CustomVoice (predefined speakers with optional style control)
+vllm serve Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice \
+    --deploy-config vllm_omni/deploy/qwen3_tts.yaml \
+    --omni --port 8091
+
+# VoiceDesign (natural language voice description)
+vllm serve Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign \
+    --deploy-config vllm_omni/deploy/qwen3_tts.yaml \
+    --omni --port 8091
+
+# Base (voice cloning from reference audio)
+vllm serve Qwen/Qwen3-TTS-12Hz-1.7B-Base \
+    --deploy-config vllm_omni/deploy/qwen3_tts.yaml \
+    --omni --port 8091
+```
+
+Alternatively, use the convenience script:
+
+```bash
+./examples/online_serving/qwen3_tts/run_server.sh                  # Default: CustomVoice
+./examples/online_serving/qwen3_tts/run_server.sh VoiceDesign      # VoiceDesign
+./examples/online_serving/qwen3_tts/run_server.sh Base             # Base (voice clone)
+```
+
+The bundled deploy config (`vllm_omni/deploy/qwen3_tts.yaml`) enables async
+chunking for low first-audio latency. For advanced deployment tuning, pass a
+custom deploy config:
+
+```bash
+vllm serve Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice \
+    --deploy-config /path/to/your_qwen3_tts_overrides.yaml \
+    --omni --port 8091 --trust-remote-code
+```
+
+## Verification
+
+**Quick smoke test with curl (CustomVoice):**
+
+```bash
+curl -X POST http://localhost:8091/v1/audio/speech \
+    -H "Content-Type: application/json" \
+    -d '{
+        "input": "Hello, how are you?",
+        "voice": "vivian",
+        "language": "English"
+    }' --output output.wav
+```
+
+**CustomVoice with emotion instruction:**
+
+```bash
+curl -X POST http://localhost:8091/v1/audio/speech \
+    -H "Content-Type: application/json" \
+    -d '{
+        "input": "I am so excited!",
+        "voice": "vivian",
+        "instructions": "Speak with great enthusiasm"
+    }' --output excited.wav
+```
+
+**List available voices:**
+
+```bash
+curl http://localhost:8091/v1/audio/voices
+```
+
+**Using the Python client:**
+
+```bash
+cd examples/online_serving/qwen3_tts
+
+# CustomVoice
+python openai_speech_client.py \
+    --text "Hello, how are you?" \
+    --speaker vivian --language English
+
+# VoiceDesign (requires VoiceDesign model)
+python openai_speech_client.py \
+    --model Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign \
+    --task-type VoiceDesign \
+    --text "Hello world" \
+    --instructions "A warm, friendly female voice"
+
+# Base / voice clone (requires Base model)
+python openai_speech_client.py \
+    --model Qwen/Qwen3-TTS-12Hz-1.7B-Base \
+    --task-type Base \
+    --text "Hello, this is a cloned voice" \
+    --ref-audio /path/to/reference.wav \
+    --ref-text "Transcript of the reference audio"
+```
+
+**Streaming audio (low latency):**
+
+```bash
+curl -X POST http://localhost:8091/v1/audio/speech \
+    -H "Content-Type: application/json" \
+    -d '{
+        "input": "Hello, how are you?",
+        "voice": "vivian",
+        "language": "English",
+        "stream": true,
+        "response_format": "pcm"
+    }' --no-buffer | play -t raw -r 24000 -e signed -b 16 -c 1 -
+```
+
+**Offline inference (no server needed):**
+
+```bash
+python examples/offline_inference/qwen3_tts/end2end.py --query-type CustomVoice
+python examples/offline_inference/qwen3_tts/end2end.py --query-type CustomVoice --streaming
+```
+
+## Notes
+
+- Memory usage: The deploy config allocates `gpu_memory_utilization: 0.3` per stage (talker + code2wav share a single GPU). For the 0.6B variants or constrained GPUs, adjust via `--gpu-memory-utilization`.
+- Key flags: `--omni` is required. `--deploy-config` points to the bundled two-stage pipeline config.
+- Async chunking: Enabled by default in `qwen3_tts.yaml` for streaming-friendly first-audio latency. Streaming requires `stream=true` with `response_format="pcm"`.
+- Task/model matching: Each task type requires its matching model checkpoint. Using a CustomVoice model for a Base (voice clone) request will fail.
+- Known limitations: The server serves one model variant at a time. To switch task types (e.g., CustomVoice to Base), restart the server with the corresponding model.
diff --git a/recipes/README.md b/recipes/README.md
index d59dfcc91..de07d22da 100644
--- a/recipes/README.md
+++ b/recipes/README.md
@@ -29,6 +29,8 @@ recipes/
   Qwen-Image on `1x A100 80GB`, including optional step-wise continuous batching replay
 - [`Qwen/Qwen3-Omni.md`](./Qwen/Qwen3-Omni.md): online serving recipe for
   multimodal chat on `1x A100 80GB`
+- [`Qwen/Qwen3-TTS.md`](./Qwen/Qwen3-TTS.md): text-to-speech serving recipe
+  for Qwen3-TTS (CustomVoice / VoiceDesign / Base) on `1x H100/A100 80GB`
 - [`LTX/LTX-2.md`](./LTX/LTX-2.md): text-to-video and image-to-video serving
   recipe for LTX-2 on `1x H200 141GB`
 - [`Wan-AI/Wan2.2-I2V.md`](./Wan-AI/Wan2.2-I2V.md): image-to-video serving