max () iterable argument is empty ？？？

### Custom Node Testing

- [x] I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help)

### Expected Behavior

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### Actual Behavior

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### Steps to Reproduce

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### Debug Logs

```powershell
# ComfyUI Error Report
## Error Details
- **Node ID:** 107
- **Node Type:** InitFluxLoRATraining
- **Exception Type:** ValueError
- **Exception Message:** max() iterable argument is empty

## Stack Trace

File "E:\1.AICG\ComfyUI\execution.py", line 361, 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 "E:\1.AICG\ComfyUI\execution.py", line 236, 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 "E:\1.AICG\ComfyUI\execution.py", line 208, in _map_node_over_list
process_inputs(input_dict, i)

File "E:\1.AICG\ComfyUI\execution.py", line 197, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "E:\1.AICG\ComfyUI\custom_nodes\ComfyUI-FluxTrainer-main\nodes.py", line 634, in init_training
training_loop = network_trainer.init_train(args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "E:\1.AICG\ComfyUI\custom_nodes\ComfyUI-FluxTrainer-main\train_network.py", line 328, in init_train
tokenize_strategy = self.get_tokenize_strategy(args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "E:\1.AICG\ComfyUI\custom_nodes\ComfyUI-FluxTrainer-main\flux_train_network_comfy.py", line 101, in get_tokenize_strategy
_, is_schnell, _, _ = flux_utils.analyze_checkpoint_state(args.pretrained_model_name_or_path)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
```

### Other

_No response_