[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>
This commit is contained in:
BeatSeatandYueqian Lin authored and GitHub committed 2026-05-24 05:42:26 +08:00
1 parent 748470c1fb
commit 28ce618f0e
38 files changed
+7568 -7

No files matched your search

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