feat: OuteTTS 엔진 추가(개인용/비상업 CC-BY-NC, 한국어)

- Qwen2 500M + WavTokenizer, torch cu128 GPU, 전용 venv 워커(8003)
- 한국어 프리셋 4종(male/female), 속도·피치 librosa 후처리
- transformers 4.49로 torchvision 강제 import 회피, soundfile 저장
- scenema-audio는 VRAM 24GB+/Gemma12B 게이트로 8GB GPU에선 불가 → 미포함

outetts_worker/requirements.txt

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+# OuteTTS 워커 (torch cu128 은 Dockerfile 에서 별도 설치)
+outetts==0.3.3
+transformers==4.49.0
+soundfile
+librosa
+fastapi==0.115.6
+uvicorn==0.30.0

outetts_worker/worker.py

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+"""OuteTTS 0.2-500M 한국어 합성 워커 (전용 venv, 개인용/비상업 CC-BY-NC).
+
+- Qwen2 기반 500M LM + WavTokenizer 코덱, torch cu128 GPU 사용
+- 한국어 프리셋 화자 4종(male_1/2, female_1/2)
+- 속도/피치는 librosa 후처리(OuteTTS 자체 speed 파라미터 없음)
+"""
+from __future__ import annotations
+
+import io
+
+import numpy as np
+import soundfile as sf
+
+try:
+    import librosa
+except Exception:  # pragma: no cover
+    librosa = None
+
+from fastapi import FastAPI
+from fastapi.responses import Response
+from pydantic import BaseModel
+
+import outetts
+
+VOICES = ["female_1", "female_2", "male_1", "male_2"]
+
+_interface = None
+_speakers: dict = {}
+
+
+def get_interface():
+    global _interface
+    if _interface is None:
+        cfg = outetts.HFModelConfig_v1(
+            model_path="OuteAI/OuteTTS-0.2-500M", language="ko"
+        )
+        _interface = outetts.InterfaceHF(model_version="0.2", cfg=cfg)
+    return _interface
+
+
+def get_speaker(name: str):
+    if name not in _speakers:
+        _speakers[name] = get_interface().load_default_speaker(name=name)
+    return _speakers[name]
+
+
+app = FastAPI(title="OuteTTS Worker")
+
+
+class SynthReq(BaseModel):
+    text: str
+    voice: str = "female_1"
+    speed: float = 1.0
+    pitch: float = 0.0
+
+
+@app.on_event("startup")
+def _startup() -> None:
+    get_speaker("female_1")
+
+
+@app.get("/health")
+def health() -> dict:
+    get_interface()
+    return {"status": "ok", "voices": VOICES}
+
+
+@app.post("/synth")
+def synth(req: SynthReq) -> Response:
+    text = (req.text or "").strip()
+    if not text:
+        return Response(content="empty text", status_code=400)
+
+    it = get_interface()
+    voice = req.voice if req.voice in VOICES else "female_1"
+    speaker = get_speaker(voice)
+    speed = float(max(0.5, min(2.0, req.speed)))
+    pitch = float(max(-12.0, min(12.0, req.pitch)))
+
+    out = it.generate(
+        text=text,
+        temperature=0.1,
+        repetition_penalty=1.1,
+        max_length=4096,
+        speaker=speaker,
+    )
+    audio = out.audio.cpu().numpy().reshape(-1).astype(np.float32)
+    sr = int(out.sr)
+
+    if librosa is not None:
+        if abs(speed - 1.0) > 1e-3:
+            try:
+                audio = librosa.effects.time_stretch(audio, rate=speed).astype(np.float32)
+            except Exception:
+                try:
+                    audio = librosa.effects.time_stretch(audio, speed).astype(np.float32)
+                except Exception:
+                    pass
+        if abs(pitch) > 1e-3:
+            audio = librosa.effects.pitch_shift(audio, sr=sr, n_steps=pitch)
+
+    buf = io.BytesIO()
+    sf.write(buf, audio, sr, format="WAV", subtype="PCM_16")
+    buf.seek(0)
+    return Response(content=buf.read(), media_type="audio/wav")