Cyrillic alphabet in the cache causes this error

[Liteyn]

2024-11-01 13:31:13 INFO t5xxl_max_token_length: 512 flux_train_network_comfy.py:158
2024-11-01 13:31:14 ERROR !!! Exception during processing !!! Unable to load vocabulary from file. execution.py:392
Please check that the provided vocabulary is accessible and not corrupted.
ERROR Traceback (most recent call last): execution.py:393
File
"C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers
\tokenization_utils_base.py", line 2447, in from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers
\models\t5\tokenization_t5.py", line 150, in init
self.sp_model.Load(vocab_file)
File
"C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\sentencepiec
e_init.py", line 961, in Load
return self.LoadFromFile(model_file)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\sentencepiec
e_init_.py", line 316, in LoadFromFile
return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
OSError: Not found:
"C:\Users\Николай.cache\huggingface\hub\models--google--t5-v1_1-xxl\snaps
hots\3db67ab1af984cf10548a73467f0e5bca2aaaeb2\spiece.model": No such file
or directory Error #2

                         During handling of the above exception, another exception occurred:

                         Traceback (most recent call last):
                           File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 323, in
                         execute
                             output_data, output_ui, has_subgraph = get_output_data(obj,
                         input_data_all, execution_block_cb=execution_block_cb,
                         pre_execute_cb=pre_execute_cb)
                                                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         ^
                           File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 198, in
                         get_output_data
                             return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION,
                         allow_interrupt=True, execution_block_cb=execution_block_cb,
                         pre_execute_cb=pre_execute_cb)
                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         ^^^^^^^^^^^^^^^^^^
                           File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 169, in
                         _map_node_over_list
                             process_inputs(input_dict, i)
                           File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 158, in
                         process_inputs
                             results.append(getattr(obj, func)(**inputs))
                                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                           File
                         "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-FluxTrainer\node
                         s.py", line 523, in init_training
                             training_loop = network_trainer.init_train(args)
                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                           File
                         "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-FluxTrainer\trai
                         n_network.py", line 269, in init_train
                             tokenize_strategy = self.get_tokenize_strategy(args)
                                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                           File
                         "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-FluxTrainer\flux
                         _train_network_comfy.py", line 159, in get_tokenize_strategy
                             return strategy_flux.FluxTokenizeStrategy(t5xxl_max_token_length,
                         args.tokenizer_cache_dir)
                                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         ^^^^^^^^^^^^^^^^^^^^^
                           File
                         "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-FluxTrainer\libr
                         ary\strategy_flux.py", line 28, in __init__
                             self.t5xxl = self._load_tokenizer(T5TokenizerFast,
                         T5_XXL_TOKENIZER_ID, tokenizer_cache_dir=tokenizer_cache_dir)
                                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                           File
                         "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-FluxTrainer\libr
                         ary\strategy_base.py", line 44, in _load_tokenizer
                             tokenizer = model_class.from_pretrained(model_id, subfolder=subfolder)
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                           File
                         "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers
                         \tokenization_utils_base.py", line 2213, in from_pretrained
                             return cls._from_pretrained(
                                    ^^^^^^^^^^^^^^^^^^^^^
                           File
                         "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers
                         \tokenization_utils_base.py", line 2251, in _from_pretrained
                             slow_tokenizer = (cls.slow_tokenizer_class)._from_pretrained(
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                           File
                         "C:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers
                         \tokenization_utils_base.py", line 2462, in _from_pretrained
                             raise OSError(
                         OSError: Unable to load vocabulary from file. Please check that the
                         provided vocabulary is accessible and not corrupted.

                INFO     Prompt executed in 1.13 seconds                                                 main.py:138

is there any way to fix this?