parser.add_argument('--voice',type=str,help='Selects the voice to use for generation. See options in voices/ directory (and add your own!) '
'Use the & character to join two voices together. Use a comma to perform inference on multiple voices.',default='random')
parser.add_argument('--preset',type=str,help='Which voice preset to use.',default='standard')
parser.add_argument('--use_deepspeed',type=bool,help='Use deepspeed for speed bump.',default=True)
parser.add_argument('--output_path',type=str,help='Where to store outputs.',default='results/')
parser.add_argument('--model_dir',type=str,help='Where to find pretrained model checkpoints. Tortoise automatically downloads these to .models, so this'
'should only be specified if you have custom checkpoints.',default=MODELS_DIR)
'Use the & character to join two voices together. Use a comma to perform inference on multiple voices.',default='pat')
parser.add_argument('--output_path',type=str,help='Where to store outputs.',default='results/longform/')
parser.add_argument('--preset',type=str,help='Which voice preset to use.',default='standard')
parser.add_argument('--use_deepspeed',type=bool,help='Use deepspeed for speed bump.',default=True)
parser.add_argument('--regenerate',type=str,help='Comma-separated list of clip numbers to re-generate, or nothing.',default=None)
parser.add_argument('--candidates',type=int,help='How many output candidates to produce per-voice. Only the first candidate is actually used in the final product, the others can be used manually.',default=1)
parser.add_argument('--model_dir',type=str,help='Where to find pretrained model checkpoints. Tortoise automatically downloads these to .models, so this'
@ -25,7 +26,7 @@ if __name__ == '__main__':
parser.add_argument('--produce_debug_state',type=bool,help='Whether or not to produce debug_state.pth, which can aid in reproducing problems. Defaults to true.',default=True)