From 5726fde9dbab30914c50de5f5875f034c6b18e2a Mon Sep 17 00:00:00 2001 From: Alex Alves Date: Mon, 14 Sep 2026 20:08:47 +0000 Subject: [PATCH] feat: containerize VoxCPM2 vLLM-Omni deployment --- .containerignore | 7 + .gitignore | 9 + Containerfile | 16 + config/voxcpm2-a10-container.yaml | 23 + pyproject.toml | 7 +- tools/precompute_custom_voice.py | 128 + uv.lock | 4291 +++++++++++++++++++++++++++++ 7 files changed, 4480 insertions(+), 1 deletion(-) create mode 100644 .containerignore create mode 100644 .gitignore create mode 100644 Containerfile create mode 100644 config/voxcpm2-a10-container.yaml create mode 100644 tools/precompute_custom_voice.py create mode 100644 uv.lock diff --git a/.containerignore b/.containerignore new file mode 100644 index 0000000..c596629 --- /dev/null +++ b/.containerignore @@ -0,0 +1,7 @@ +runtime/ +reference-audio/ +*.wav +*.opus +*.pcm +*.safetensors +resposta.headers \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1fe911d --- /dev/null +++ b/.gitignore @@ -0,0 +1,9 @@ +hf-cache/ +runtime/ +voices/ +reference-audio/ +*.wav +*.opus +*.pcm +*.safetensors +resposta.headers \ No newline at end of file diff --git a/Containerfile b/Containerfile new file mode 100644 index 0000000..9afbebc --- /dev/null +++ b/Containerfile @@ -0,0 +1,16 @@ +FROM vllm/vllm-omni:v0.28.0 + +RUN python -m pip install --no-cache-dir \ + voxcpm \ + soundfile \ + httpx \ + ninja + +COPY config/voxcpm2-a10-container.yaml /opt/config/voxcpm2.yaml + +RUN mkdir -p /opt/vllm-omni/examples/online_serving/text_to_speech/voxcpm2 + +COPY tools/precompute_custom_voice.py \ + /opt/vllm-omni/examples/online_serving/text_to_speech/voxcpm2/precompute_custom_voice.py + +CMD ["vllm", "serve", "openbmb/VoxCPM2", "--omni", "--deploy-config", "/opt/config/voxcpm2.yaml", "--host", "0.0.0.0", "--port", "8000"] \ No newline at end of file diff --git a/config/voxcpm2-a10-container.yaml b/config/voxcpm2-a10-container.yaml new file mode 100644 index 0000000..62b0c18 --- /dev/null +++ b/config/voxcpm2-a10-container.yaml @@ -0,0 +1,23 @@ +async_chunk: false +dtype: bfloat16 + +stages: + - stage_id: 0 + devices: "0" + max_num_seqs: 2 + gpu_memory_utilization: 0.9 + kv_cache_memory_bytes: 6442450944 + enforce_eager: true + trust_remote_code: true + enable_prefix_caching: false + max_num_batched_tokens: 4096 + max_model_len: 4096 + custom_voice_dir: /opt/voices + + default_sampling_params: + temperature: 0.0 + top_p: 1.0 + top_k: -1 + max_tokens: 4096 + seed: 42 + repetition_penalty: 1.0 \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 088f6f5..f286387 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,4 +2,9 @@ name = "voxcpm-vllm-poc" version = "0.1.0" requires-python = ">=3.12" -dependencies = [] +dependencies = [ + "httpx>=0.28.1", + "ninja>=1.13.2", + "soundfile>=0.14.0", + "voxcpm>=2.0.3", +] diff --git a/tools/precompute_custom_voice.py b/tools/precompute_custom_voice.py new file mode 100644 index 0000000..c9ffe61 --- /dev/null +++ b/tools/precompute_custom_voice.py @@ -0,0 +1,128 @@ +"""Pre-compute VoxCPM2 custom voice profiles. + +The generated directory can be passed to the server via +``custom_voice_dir`` in ``vllm_omni/deploy/voxcpm2.yaml``. Requests can then +use ``/v1/audio/speech`` with ``voice=""`` and no per-request ref_audio. +""" + +from __future__ import annotations + +import argparse +import json +import sys +from pathlib import Path +from typing import Any + +import torch +from safetensors.torch import save_file + +REPO_ROOT = Path(__file__).resolve().parents[4] +if str(REPO_ROOT) not in sys.path: + sys.path.insert(0, str(REPO_ROOT)) + +from vllm_omni.utils.custom_voice_io import safe_voice_stem # noqa: E402 + +MANIFEST_NAME = "custom_voice_manifest.json" + + +def _load_tts(model: str, device: torch.device): + from vllm_omni.model_executor.models.voxcpm2.voxcpm2_import_utils import import_voxcpm2_core + + VoxCPM = import_voxcpm2_core() + native = VoxCPM.from_pretrained(model, load_denoiser=False, optimize=False) + return native.tts_model.to(device).eval() + + +def _load_manifest(output_dir: Path, model: str) -> dict[str, Any]: + path = output_dir / MANIFEST_NAME + if path.exists(): + return json.loads(path.read_text(encoding="utf-8")) + return { + "schema_version": 1, + "model_type": "voxcpm2", + "model": model, + "voices": {}, + } + + +def _write_voice( + *, + model: str, + output_dir: Path, + voice_name: str, + ref_audio: str, + prompt_text: str | None, + mode: str, + speaker_description: str | None, + device: torch.device, +) -> None: + if mode in ("continuation", "ref_continuation") and not prompt_text: + raise ValueError("--prompt-text is required for continuation/ref_continuation modes") + + tts = _load_tts(model, device) + tensors: dict[str, torch.Tensor] = {} + with torch.inference_mode(): + if mode in ("reference", "ref_continuation"): + tensors["ref_audio_feat"] = tts._encode_wav(ref_audio, padding_mode="right").float().cpu().contiguous() + if mode in ("continuation", "ref_continuation"): + tensors["audio_feat"] = tts._encode_wav(ref_audio, padding_mode="left").float().cpu().contiguous() + + output_dir.mkdir(parents=True, exist_ok=True) + filename = f"{safe_voice_stem(voice_name)}.safetensors" + save_file(tensors, str(output_dir / filename)) + + manifest = _load_manifest(output_dir, model) + entry: dict[str, Any] = { + "name": voice_name, + "file": filename, + "mode": mode, + } + if "ref_audio_feat" in tensors: + entry["ref_audio_feat_len"] = int(tensors["ref_audio_feat"].shape[0]) + if "audio_feat" in tensors: + entry["audio_feat_len"] = int(tensors["audio_feat"].shape[0]) + if prompt_text: + entry["prompt_text"] = prompt_text + if speaker_description: + entry["speaker_description"] = speaker_description + + manifest.setdefault("voices", {})[voice_name] = entry + (output_dir / MANIFEST_NAME).write_text(json.dumps(manifest, indent=2, ensure_ascii=False), encoding="utf-8") + print(f"Wrote {output_dir / filename}") + print(f"Updated {output_dir / MANIFEST_NAME}") + + +def main() -> None: + parser = argparse.ArgumentParser(description="Pre-compute VoxCPM2 custom voice profile") + parser.add_argument("--model", default="openbmb/VoxCPM2", help="VoxCPM2 model path or Hugging Face ID") + parser.add_argument("--voice-name", required=True) + parser.add_argument("--ref-audio", required=True) + parser.add_argument( + "--prompt-text", + default=None, + help="Transcript of ref audio for continuation/ref_continuation modes", + ) + parser.add_argument( + "--mode", + choices=["reference", "continuation", "ref_continuation"], + default="reference", + ) + parser.add_argument("--speaker-description", default=None) + parser.add_argument("--output-dir", required=True) + parser.add_argument("--device", default="cuda" if torch.cuda.is_available() else "cpu") + args = parser.parse_args() + + _write_voice( + model=args.model, + output_dir=Path(args.output_dir), + voice_name=args.voice_name, + ref_audio=args.ref_audio, + prompt_text=args.prompt_text, + mode=args.mode, + speaker_description=args.speaker_description, + device=torch.device(args.device), + ) + + +if __name__ == "__main__": + main() diff --git 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