Adds MPS support for Apple Silicon
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@ -14,8 +14,12 @@ def main():
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parser.add_argument("--model_dir", type=str, default="checkpoints", help="Path to the model directory. Default is 'checkpoints'")
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parser.add_argument("--fp16", action="store_true", default=True, help="Use FP16 for inference if available")
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parser.add_argument("-f", "--force", action="store_true", default=False, help="Force to overwrite the output file if it exists")
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parser.add_argument("-d", "--device", type=str, default=None, help="Device to run the model on (cpu, cuda, mps)." )
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args = parser.parse_args()
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if len(args.text.strip()) == 0:
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print("ERROR: Text is empty.")
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parser.print_help()
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sys.exit(1)
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if not os.path.exists(args.voice):
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print(f"Audio prompt file {args.voice} does not exist.")
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parser.print_help()
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@ -33,19 +37,26 @@ def main():
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sys.exit(1)
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else:
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os.remove(output_path)
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try:
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import torch
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if not torch.cuda.is_available():
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print("WARNING: CUDA is not available. Running on CPU may be slow.")
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except ImportError:
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print("ERROR: PyTorch is not installed. Please install it first.")
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sys.exit(1)
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if args.device is None:
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if torch.cuda.is_available():
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args.device = "cuda:0"
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elif torch.mps.is_available():
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args.device = "mps"
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else:
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args.device = "cpu"
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args.fp16 = False # Disable FP16 on CPU
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print("WARNING: Running on CPU may be slow.")
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from indextts.infer import IndexTTS
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tts = IndexTTS(cfg_path=args.config, model_dir=args.model_dir, is_fp16=args.fp16)
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tts.infer(audio_prompt=args.voice, text=args.text, output_path=output_path)
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tts = IndexTTS(cfg_path=args.config, model_dir=args.model_dir, is_fp16=args.fp16, device=args.device)
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tts.infer(audio_prompt=args.voice, text=args.text.strip(), output_path=output_path)
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if __name__ == "__main__":
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main()
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@ -17,16 +17,29 @@ from indextts.vqvae.xtts_dvae import DiscreteVAE
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from indextts.utils.front import TextNormalizer
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class IndexTTS:
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def __init__(self, cfg_path='checkpoints/config.yaml', model_dir='checkpoints', is_fp16=True):
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self.cfg = OmegaConf.load(cfg_path)
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if torch.cuda.is_available():
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def __init__(self, cfg_path='checkpoints/config.yaml', model_dir='checkpoints', is_fp16=True, device=None):
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"""
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Args:
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cfg_path (str): path to the config file.
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model_dir (str): path to the model directory.
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is_fp16 (bool): whether to use fp16.
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device (str): device to use (e.g., 'cuda:0', 'cpu'). If None, it will be set automatically based on the availability of CUDA or MPS.
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"""
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if device is not None:
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self.device = device
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self.is_fp16 = False if device == 'cpu' else is_fp16
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elif torch.cuda.is_available():
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self.device = 'cuda:0'
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self.is_fp16 = is_fp16
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elif torch.mps.is_available():
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self.device = 'mps'
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self.is_fp16 = is_fp16
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else:
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self.device = 'cpu'
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self.is_fp16 = False
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print(">> Be patient, it may take a while to run in CPU mode.")
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self.cfg = OmegaConf.load(cfg_path)
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self.model_dir = model_dir
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self.dtype = torch.float16 if self.is_fp16 else None
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self.stop_mel_token = self.cfg.gpt.stop_mel_token
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