[Model] Add GLM-TTS text-to-speech model support (#3141)
Signed-off-by: BeatSeat <wendavid552@gmail.com> Signed-off-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com> Co-authored-by: Yueqian Lin <70319226+linyueqian@users.noreply.github.com>
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@@ -19,6 +19,7 @@ list of supported architectures across all modalities, see
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| VoxCPM2 | `openbmb/VoxCPM2` | single (native AR) | ✓ | — | continuation (`--ref-audio` + `--ref-text`) | 48 kHz |
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| CosyVoice3 | `FunAudioLLM/Fun-CosyVoice3-0.5B-2512` | 2 (talker + code2wav) | ✓ | ✓ (`async_chunk: true` default) | — | 22.05 kHz |
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| Fish Speech S2 Pro | `fishaudio/s2-pro` | dual-AR | ✓ | ✓ (`--streaming`) | — | 44.1 kHz |
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| GLM-TTS | `zai-org/GLM-TTS` | 2 (AR + DiT) | ✓ (required) | ✓ | — | 24 kHz |
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| OmniVoice | `k2-fsa/OmniVoice` | 2 (gen + dec) | ✓ | — | voice design (`--instruct`), language (`--lang`) | 24 kHz |
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| Qwen3-TTS | `Qwen/Qwen3-TTS-12Hz-1.7B-{CustomVoice,VoiceDesign,Base}` | 2 (talker + code2wav) | ✓ (Base) | ✓ | 3 task variants (`--query-type`) | 24 kHz |
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| Voxtral TTS | `mistralai/Voxtral-4B-TTS-2603` | varies | ✓ | ✓ | voice presets (`--voice`) | 24 kHz |
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@@ -158,6 +159,35 @@ Streaming requires `async_chunk: true` in the stage config.
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---
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## GLM-TTS
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2-stage TTS pipeline (AR + DiT flow-matching) at 24 kHz. Every request requires reference audio and its transcript for zero-shot voice cloning.
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### Quick start
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```bash
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python examples/offline_inference/text_to_speech/glm_tts/end2end.py \
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--model zai-org/GLM-TTS \
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--text "你好,这是语音合成测试。" \
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--ref-audio /path/to/reference.wav \
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--ref-text "这是参考音频的文本内容。" \
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--output-dir ./output
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```
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### Architecture
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```
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Text → [Stage 0: AR] → Speech Tokens → [Stage 1: DiT + HiFT] → Audio (24 kHz)
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(Llama-based) (32k vocab) (Flow Matching)
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```
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### Notes
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- `--ref-audio` and `--ref-text` are **required** together; GLM-TTS does not support text-only synthesis.
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- Reference audio should be 3-10 seconds.
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- First run may be slow due to lazy loading of WhisperVQ tokenizer and CampPlus ONNX speaker embedder.
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- Default sampling: temperature=1.0, top_k=25, top_p=0.8 (RAS method).
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- The `--model` path should point to the repository root (not `llm/` subdirectory).
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---
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## OmniVoice
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Zero-shot multilingual TTS supporting 600+ languages, with three modes (auto / clone / design).
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@@ -313,6 +343,10 @@ Available voice presets are listed on the HF model card (`mistralai/Voxtral-4B-T
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``````py
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--8<-- "examples/offline_inference/text_to_speech/fish_speech/end2end.py"
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``````
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??? abstract "glm_tts/end2end.py"
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``````py
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--8<-- "examples/offline_inference/text_to_speech/glm_tts/end2end.py"
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``````
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??? abstract "omnivoice/end2end.py"
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``````py
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--8<-- "examples/offline_inference/text_to_speech/omnivoice/end2end.py"
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@@ -19,6 +19,7 @@ For the full list of supported architectures across all modalities, see
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|---|---|---|---|---|---|
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| CosyVoice3 | `FunAudioLLM/Fun-CosyVoice3-0.5B-2512` | ✓ (`ref_audio`+`ref_text`) | ✓ (PCM stream) | — | — |
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| Fish Speech S2 Pro | `fishaudio/s2-pro` | ✓ (`ref_audio`+`ref_text`) | ✓ (PCM stream) | — | ✓ |
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| GLM-TTS | `zai-org/GLM-TTS` | ✓ (`ref_audio`+`ref_text`, required) | ✓ (PCM stream) | — | ✓ |
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| OmniVoice | `k2-fsa/OmniVoice` | (offline only) | — | — | — |
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| Qwen3-TTS | `Qwen/Qwen3-TTS-12Hz-1.7B-{CustomVoice,VoiceDesign,Base}` | ✓ (Base) | ✓ (PCM + WebSocket) | ✓ (presets + `/v1/audio/voices` upload) | ✓ (standard + FastRTC) |
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| VoxCPM2 | `openbmb/VoxCPM2` | ✓ | ✓ (AudioWorklet via gradio) | — | ✓ |
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@@ -192,6 +193,45 @@ python fish_speech/gradio_demo.py --api-base http://localhost:8091 # if server
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---
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## GLM-TTS
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2-stage TTS (AR + DiT flow-matching) at 24 kHz. Every request requires `ref_audio` + `ref_text`.
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### Launch
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```bash
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vllm serve zai-org/GLM-TTS --omni --trust-remote-code --port 8091
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# or:
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bash examples/online_serving/text_to_speech/glm_tts/run_server.sh /path/to/GLM-TTS
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```
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### Sending requests
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```bash
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# Voice cloning (required)
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python examples/online_serving/text_to_speech/glm_tts/openai_speech_client.py \
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--text "你好,这是语音克隆测试。" \
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--ref-audio file:///path/to/ref.wav \
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--ref-text "这是参考音频的文本内容。"
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# Custom format
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python examples/online_serving/text_to_speech/glm_tts/openai_speech_client.py \
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--text "Hello, this is a voice cloning test." \
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--ref-audio file:///path/to/ref.wav \
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--ref-text "Transcript of the reference audio." \
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--response-format mp3 -o output.mp3
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```
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### Gradio demo
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```bash
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bash examples/online_serving/text_to_speech/glm_tts/run_gradio_demo.sh
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```
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### Notes
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- Output: 24 kHz mono WAV via HiFT vocoder.
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- `ref_audio` + `ref_text` are **required** together on every request. Reference audio should be 3-10 seconds.
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- Voice cloning feature extraction (WhisperVQ, CampPlus, mel) runs on the model side — no external dependency on the serving layer.
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---
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## OmniVoice
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Zero-shot multilingual TTS (600+ languages). Online serving currently exposes **auto voice** only; voice cloning and voice design are available offline.
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@@ -419,6 +459,22 @@ The demo handles voice-preset selection and reference-audio upload. `voxtral_tts
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``````py
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--8<-- "examples/online_serving/text_to_speech/fish_speech/speech_client.py"
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``````
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??? abstract "glm_tts/gradio_demo.py"
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``````py
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--8<-- "examples/online_serving/text_to_speech/glm_tts/gradio_demo.py"
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``````
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??? abstract "glm_tts/openai_speech_client.py"
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``````py
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--8<-- "examples/online_serving/text_to_speech/glm_tts/openai_speech_client.py"
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``````
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??? abstract "glm_tts/run_gradio_demo.sh"
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``````sh
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--8<-- "examples/online_serving/text_to_speech/glm_tts/run_gradio_demo.sh"
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``````
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??? abstract "glm_tts/run_server.sh"
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``````sh
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--8<-- "examples/online_serving/text_to_speech/glm_tts/run_server.sh"
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``````
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??? abstract "omnivoice/run_server.sh"
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``````sh
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--8<-- "examples/online_serving/text_to_speech/omnivoice/run_server.sh"
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