OneTrainer: Problem with updated version and the config + train.bat you provided.

I've been using the OneTrainer config and train.bat that mal provided for training Z-Image Turbo loras and it's been great. No issues. Earlier today I updated OneTrainer in any attempt to try training Z-Image base loras and now the config doesn't work at all. The command window throws up the error below then sits there doing nothing. This is above what I know so any help in sorting this would be great appreciated.

Error:

enumerating sample paths: 100%|█████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 999.83it/s]

caching: 100%|█████████████████████████████████████████████████████████████████████████| 10/10 [00:01<00:00, 5.76it/s]

caching: 100%|█████████████████████████████████████████████████████████████████████████| 10/10 [00:03<00:00, 2.56it/s]

caching: 100%|█████████████████████████████████████████████████████████████████████████| 10/10 [00:03<00:00, 2.64it/s]I:\OneTrainer\OneTrainer\venv\Lib\site-packages\torch\_dynamo\variables\functions.py:1692: UserWarning: Dynamo detected a call to a `functools.lru_cache`-wrapped function. Dynamo ignores the cache wrapper and directly traces the wrapped function. Silent incorrectness is only a *potential* risk, not something we have observed. Enable TORCH_LOGS="+dynamo" for a DEBUG stack trace.

torch._dynamo.utils.warn_once(msg)

W0219 15:07:32.007000 27248 venv\Lib\site-packages\torch\fx\experimental\symbolic_shapes.py:6833] [0/1] _maybe_guard_rel() was called on non-relation expression Eq(s50, s81) | Eq(s81, 1)

W0219 15:07:34.216000 27248 venv\Lib\site-packages\torch\fx\experimental\symbolic_shapes.py:6833] [0/2] _maybe_guard_rel() was called on non-relation expression Eq(s50, s81) | Eq(s81, 1)

I:\OneTrainer\OneTrainer\venv\Lib\site-packages\torch\_inductor\lowering.py:1988: UserWarning: Torchinductor does not support code generation for complex operators. Performance may be worse than eager.

warnings.warn(

W0219 15:07:40.787000 27248 venv\Lib\site-packages\torch\_inductor\utils.py:1613] [0/2] Not enough SMs to use max_autotune_gemm mode

UPDATE: I found some different configs on mal's HF page and tried again, letting it run in the background. It appears to have started training for Z-Image base. So hold on before replying and let's see how it goes.
Definitely took longer to start than before the update.