Loading extensions:
Loaded extension: callback_save_generation_ffmpeg
Loaded extension: callback_save_generation_musicgen_ffmpeg
Loaded extension: empty_extension
Loaded 2 callback_save_generation extensions.
Loaded 1 callback_save_generation_musicgen extensions.
2023-11-27 21:36:53 | INFO | fairseq.tasks.text_to_speech | Please install tensorboardX: pip install tensorboardX
2023-11-27 21:36:53 | WARNING | xformers | WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.0+cu118 with CUDA 1108 (you have 2.0.0+cpu)
    Python  3.10.11 (you have 3.10.13)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details
2023-11-27 21:36:53 | WARNING | xformers | Triton is not available, some optimizations will not be enabled.
This is just a warning: No module named 'triton'
Failed to load rvc demo
No module named 'rvc_beta'
Starting Gradio server...
Gradio interface options:
  inline:               False
  inbrowser:            True
  share:                False
  debug:                False
  enable_queue:         True
  max_threads:          40
  auth:                 None
  auth_message:         None
  prevent_thread_lock:  False
  show_error:           False
  server_name:          0.0.0.0
  server_port:          None
  show_tips:            False
  height:               500
  width:                100%
  favicon_path:         None
  ssl_keyfile:          None
  ssl_certfile:         None
  ssl_keyfile_password: None
  ssl_verify:           True
  quiet:                True
  show_api:             True
  file_directories:     None
  _frontend:            True
Running on local URL:  http://0.0.0.0:7860
Loading Bark models
        - Text Generation:               GPU: Yes, Small Model: No
        - Coarse-to-Fine Inference:      GPU: Yes, Small Model: No
        - Fine-tuning:                   GPU: Yes, Small Model: No
        - Codec:                         GPU: Yes
C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\huggingface_hub\file_download.py:147: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\Tom_N. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
  warnings.warn(message)
Traceback (most recent call last):
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\gradio\routes.py", line 437, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\gradio\blocks.py", line 1352, in process_api
    result = await self.call_function(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\gradio\blocks.py", line 1077, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\tts-generation-webui\src\bark\clone\tab_voice_clone.py", line 225, in generate_voice
    full_generation = get_prompts(wav_file, use_gpu)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\tts-generation-webui\src\bark\clone\tab_voice_clone.py", line 87, in get_prompts
    semantic_prompt = get_semantic_prompt(path_to_wav, device)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\tts-generation-webui\src\bark\clone\tab_voice_clone.py", line 81, in get_semantic_prompt
    semantic_vectors = get_semantic_vectors(path_to_wav, device)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\tts-generation-webui\src\bark\clone\tab_voice_clone.py", line 46, in get_semantic_vectors
    hubert_model = _load_hubert_model(device)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\tts-generation-webui\src\bark\clone\tab_voice_clone.py", line 26, in _load_hubert_model
    hubert_model = CustomHubert(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\bark_hubert_quantizer\pre_kmeans_hubert.py", line 60, in __init__
    checkpoint = torch.load(checkpoint_path, map_location=device)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 797, in load
    with _open_zipfile_reader(opened_file) as opened_zipfile:
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 283, in __init__
    super().__init__(torch._C.PyTorchFileReader(name_or_buffer))
RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory
Downloading HuBERT custom tokenizer
quantifier_hubert_base_ls960.pth: 100%|██████████████████████████████████████████████| 104M/104M [05:26<00:00, 319kB/s]
Downloaded tokenizer
Traceback (most recent call last):
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\gradio\routes.py", line 437, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\gradio\blocks.py", line 1352, in process_api
    result = await self.call_function(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\gradio\blocks.py", line 1077, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\tts-generation-webui\src\bark\clone\tab_voice_clone.py", line 198, in load_tokenizer
    _load_tokenizer(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\tts-generation-webui\src\bark\clone\tab_voice_clone.py", line 66, in _load_tokenizer
    tokenizer = CustomTokenizer.load_from_checkpoint(
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\bark_hubert_quantizer\customtokenizer.py", line 119, in load_from_checkpoint
    model.load_state_dict(torch.load(path, map_location=map_location))
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 809, in load
    return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 1172, in _load
    result = unpickler.load()
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 1142, in persistent_load
    typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 1116, in load_tensor
    wrap_storage=restore_location(storage, location),
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 1083, in restore_location
    return default_restore_location(storage, map_location)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 217, in default_restore_location
    result = fn(storage, location)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 182, in _cuda_deserialize
    device = validate_cuda_device(location)
  File "C:\Users\Tom_N\Desktop\one-click-installers-tts-6.0\installer_files\env\lib\site-packages\torch\serialization.py", line 166, in validate_cuda_device
    raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.