mirror of https://github.com/coqui-ai/TTS.git
small fixes
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@ -593,7 +593,6 @@ class Xtts(BaseTTS):
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cond_free_k=2,
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cond_free_k=2,
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diffusion_temperature=1.0,
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diffusion_temperature=1.0,
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decoder_sampler="ddim",
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decoder_sampler="ddim",
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use_hifigan=True,
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**hf_generate_kwargs,
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**hf_generate_kwargs,
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):
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):
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text = f"[{language}]{text.strip().lower()}"
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text = f"[{language}]{text.strip().lower()}"
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@ -765,7 +764,7 @@ class Xtts(BaseTTS):
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checkpoint_dir=None,
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checkpoint_dir=None,
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checkpoint_path=None,
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checkpoint_path=None,
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vocab_path=None,
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vocab_path=None,
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eval=False,
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eval=True,
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strict=True,
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strict=True,
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use_deepspeed=False,
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use_deepspeed=False,
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):
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):
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@ -777,7 +776,7 @@ class Xtts(BaseTTS):
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checkpoint_dir (str, optional): The directory where the checkpoint is stored. Defaults to None.
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checkpoint_dir (str, optional): The directory where the checkpoint is stored. Defaults to None.
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checkpoint_path (str, optional): The path to the checkpoint file. Defaults to None.
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checkpoint_path (str, optional): The path to the checkpoint file. Defaults to None.
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vocab_path (str, optional): The path to the vocabulary file. Defaults to None.
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vocab_path (str, optional): The path to the vocabulary file. Defaults to None.
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eval (bool, optional): Whether to set the model to evaluation mode. Defaults to False.
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eval (bool, optional): Whether to set the model to evaluation mode. Defaults to True.
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strict (bool, optional): Whether to strictly enforce that the keys in the checkpoint match the keys in the model. Defaults to True.
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strict (bool, optional): Whether to strictly enforce that the keys in the checkpoint match the keys in the model. Defaults to True.
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Returns:
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Returns:
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@ -71,7 +71,7 @@ print("Loading model...")
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config = XttsConfig()
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config = XttsConfig()
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config.load_json("/path/to/xtts/config.json")
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config.load_json("/path/to/xtts/config.json")
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model = Xtts.init_from_config(config)
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model = Xtts.init_from_config(config)
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model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True, use_deepspeed=True)
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model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", use_deepspeed=True)
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model.cuda()
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model.cuda()
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print("Computing speaker latents...")
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print("Computing speaker latents...")
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@ -108,7 +108,7 @@ print("Loading model...")
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config = XttsConfig()
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config = XttsConfig()
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config.load_json("/path/to/xtts/config.json")
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config.load_json("/path/to/xtts/config.json")
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model = Xtts.init_from_config(config)
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model = Xtts.init_from_config(config)
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model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", eval=True, use_deepspeed=True)
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model.load_checkpoint(config, checkpoint_dir="/path/to/xtts/", use_deepspeed=True)
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model.cuda()
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model.cuda()
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print("Computing speaker latents...")
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print("Computing speaker latents...")
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