runtime error
Exit code: 1. Reason: py", line 109, in __init__ self._load_tts_from_dir(model_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 771, 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 1470, 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([XttsConfig])` or the `torch.serialization.safe_globals([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.
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