forked from mrq/tortoise-tts
Fix default output path
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022d330300
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12acac6f77
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@ -15,7 +15,7 @@ if __name__ == '__main__':
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parser.add_argument('--voice_diversity_intelligibility_slider', type=float,
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help='How to balance vocal diversity with the quality/intelligibility of the spoken text. 0 means highly diverse voice (not recommended), 1 means maximize intellibility',
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default=.5)
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parser.add_argument('--output_path', type=str, help='Where to store outputs.', default='../results/')
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parser.add_argument('--output_path', type=str, help='Where to store outputs.', default='results/')
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parser.add_argument('--model_dir', type=str, help='Where to find pretrained model checkpoints. Tortoise automatically downloads these to .models, so this'
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'should only be specified if you have custom checkpoints.', default='.models')
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args = parser.parse_args()
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@ -31,7 +31,7 @@ if __name__ == '__main__':
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parser.add_argument('--textfile', type=str, help='A file containing the text to read.', default="tortoise/data/riding_hood.txt")
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parser.add_argument('--voice', type=str, help='Selects the voice to use for generation. See options in voices/ directory (and add your own!) '
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'Use the & character to join two voices together. Use a comma to perform inference on multiple voices.', default='pat')
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parser.add_argument('--output_path', type=str, help='Where to store outputs.', default='../results/longform/')
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parser.add_argument('--output_path', type=str, help='Where to store outputs.', default='results/longform/')
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parser.add_argument('--preset', type=str, help='Which voice preset to use.', default='standard')
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parser.add_argument('--regenerate', type=str, help='Comma-separated list of clip numbers to re-generate, or nothing.', default=None)
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parser.add_argument('--voice_diversity_intelligibility_slider', type=float,
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