mirror of
https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-05 18:09:24 +08:00
add cosyvoice2
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@@ -18,7 +18,7 @@ from hyperpyyaml import load_hyperpyyaml
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from modelscope import snapshot_download
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import torch
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from cosyvoice.cli.frontend import CosyVoiceFrontEnd
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from cosyvoice.cli.model import CosyVoiceModel
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from cosyvoice.cli.model import CosyVoiceModel, CosyVoice2Model
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from cosyvoice.utils.file_utils import logging
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@@ -118,3 +118,35 @@ class CosyVoice:
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logging.info('yield speech len {}, rtf {}'.format(speech_len, (time.time() - start_time) / speech_len))
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yield model_output
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start_time = time.time()
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class CosyVoice2(CosyVoice):
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def __init__(self, model_dir, load_jit=True, load_onnx=False, fp16=True):
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instruct = True if '-Instruct' in model_dir else False
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self.model_dir = model_dir
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if not os.path.exists(model_dir):
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model_dir = snapshot_download(model_dir)
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with open('{}/cosyvoice.yaml'.format(model_dir), 'r') as f:
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configs = load_hyperpyyaml(f)
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self.frontend = CosyVoiceFrontEnd(configs['get_tokenizer'],
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configs['feat_extractor'],
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'{}/campplus.onnx'.format(model_dir),
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'{}/speech_tokenizer_v2.onnx'.format(model_dir),
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'{}/spk2info.pt'.format(model_dir),
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instruct,
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configs['allowed_special'])
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if torch.cuda.is_available() is False and (fp16 is True or load_jit is True):
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load_jit = False
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fp16 = False
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logging.warning('cpu do not support fp16 and jit, force set to False')
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self.model = CosyVoice2Model(configs['llm'], configs['flow'], configs['hift'], fp16)
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self.model.load('{}/llm.pt'.format(model_dir),
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'{}/flow.pt'.format(model_dir),
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'{}/hift.pt'.format(model_dir))
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if load_jit:
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self.model.load_jit('{}/llm.text_encoder.fp16.zip'.format(model_dir),
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'{}/llm.llm.fp16.zip'.format(model_dir),
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'{}/flow.encoder.fp32.zip'.format(model_dir))
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if load_onnx:
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self.model.load_onnx('{}/flow.decoder.estimator.fp32.onnx'.format(model_dir))
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del configs
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