Space duplicate not Work
Hello. For me, space duplicate of this XTTS on CPU does not work and I get this error message:
runtime error
Exit code: 1. Reason: odel_dir, use_cuda)
File "/usr/local/lib/python3.10/site-packages/TTS/utils/synthesizer.py", line 164, in _load_tts_from_dir
self.tts_model.load_checkpoint(config, checkpoint_dir=model_dir, eval=True)
File "/usr/local/lib/python3.10/site-packages/TTS/tts/models/xtts.py", line 773, in load_checkpoint
checkpoint = self.get_compatible_checkpoint_state_dict(model_path)
File "/usr/local/lib/python3.10/site-packages/TTS/tts/models/xtts.py", line 714, in get_compatible_checkpoint_state_dict
checkpoint = load_fsspec(model_path, map_location=torch.device("cpu"))["model"]
File "/usr/local/lib/python3.10/site-packages/TTS/utils/io.py", line 54, in load_fsspec
return torch.load(f, map_location=map_location, **kwargs)
File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1529, in load
raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, [1mdo those steps only if you trust the source of the checkpoint[0m.
(1) In PyTorch 2.6, we changed the default value of the weights_only argument in torch.load from False to True. Re-running torch.load with weights_only set to False will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
(2) Alternatively, to load with weights_only=True please check the recommended steps in the following error message.
WeightsUnpickler error: Unsupported global: GLOBAL TTS.tts.configs.xtts_config.XttsConfig was not an allowed global by default. Please use torch.serialization.add_safe_globals([TTS.tts.configs.xtts_config.XttsConfig]) or the torch.serialization.safe_globals([TTS.tts.configs.xtts_config.XttsConfig]) context manager to allowlist this global if you trust this class/function.
Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.
Oui, en effet.. je sais que c'est embêtant mais les libraries surtout gradio mais pas que évoluent sans cesse ce qui fait qu'un code être déprécié en quelque mois sur cette plateforme.
Cet espace est buggué depuis plus de 10 mois, je ferai les réparations quand j'aurai le temps.
Cependant si tu veux utiliser le modèle, tu peux télécharger la version windows avec python embedded j'ai fait un post pour ça. Tu peux donc le faire tourner en local sur CPU ou gpu et ça marche bien ça car tout est pré-installé.