fix(backend): prevent unbounded memory accumulation over consecutive TTS generations (#923)

This commit is contained in:
devangkantharia
2026-10-04 00:01:18 +00:00
committed by capy-ai-staging[bot]
parent 63f09455ef
commit 38389db82b
8 changed files with 88 additions and 60 deletions
+14 -13
View File
@@ -184,20 +184,21 @@ class ChatterboxTurboTTSBackend:
logger.info("[Chatterbox Turbo] Generating (English)")
wav = self.model.generate(
text,
audio_prompt_path=ref_audio,
temperature=0.8,
top_k=1000,
top_p=0.95,
repetition_penalty=1.2,
)
with torch.inference_mode():
wav = self.model.generate(
text,
audio_prompt_path=ref_audio,
temperature=0.8,
top_k=1000,
top_p=0.95,
repetition_penalty=1.2,
)
# Convert tensor -> numpy
if isinstance(wav, torch.Tensor):
audio = wav.squeeze().cpu().numpy().astype(np.float32)
else:
audio = np.asarray(wav, dtype=np.float32)
# Convert tensor -> numpy
if isinstance(wav, torch.Tensor):
audio = wav.squeeze().cpu().numpy().astype(np.float32)
else:
audio = np.asarray(wav, dtype=np.float32)
sample_rate = getattr(self.model, "sr", None) or getattr(self.model, "sample_rate", 24000)