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https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-05 01:49:25 +08:00
[debug] support flow cache, for sharper tts_mel output
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@@ -50,6 +50,7 @@ class CosyVoiceModel:
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# dict used to store session related variable
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self.tts_speech_token_dict = {}
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self.llm_end_dict = {}
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self.flow_cache_dict = {}
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self.mel_overlap_dict = {}
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self.hift_cache_dict = {}
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@@ -92,13 +93,17 @@ class CosyVoiceModel:
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self.llm_end_dict[uuid] = True
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def token2wav(self, token, prompt_token, prompt_feat, embedding, uuid, finalize=False, speed=1.0):
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tts_mel = self.flow.inference(token=token.to(self.device),
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tts_mel, flow_cache = self.flow.inference(token=token.to(self.device),
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token_len=torch.tensor([token.shape[1]], dtype=torch.int32).to(self.device),
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prompt_token=prompt_token.to(self.device),
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prompt_token_len=torch.tensor([prompt_token.shape[1]], dtype=torch.int32).to(self.device),
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prompt_feat=prompt_feat.to(self.device),
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prompt_feat_len=torch.tensor([prompt_feat.shape[1]], dtype=torch.int32).to(self.device),
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embedding=embedding.to(self.device))
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embedding=embedding.to(self.device),
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required_cache_size=self.mel_overlap_len,
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flow_cache=self.flow_cache_dict[uuid])
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self.flow_cache_dict[uuid] = flow_cache
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# mel overlap fade in out
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if self.mel_overlap_dict[uuid] is not None:
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tts_mel = fade_in_out(tts_mel, self.mel_overlap_dict[uuid], self.mel_window)
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@@ -137,6 +142,7 @@ class CosyVoiceModel:
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this_uuid = str(uuid.uuid1())
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with self.lock:
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self.tts_speech_token_dict[this_uuid], self.llm_end_dict[this_uuid] = [], False
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self.flow_cache_dict[this_uuid] = None
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self.mel_overlap_dict[this_uuid], self.hift_cache_dict[this_uuid] = None, None
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p = threading.Thread(target=self.llm_job, args=(text, prompt_text, llm_prompt_speech_token, llm_embedding, this_uuid))
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p.start()
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