Training LoRa locally not working
Today I wanted to try training a LoRa locally on my pc. I have never done this before, so I followed the instructions found here and used the OneTrainer package for StabilityMatrix.
The test was for a SDXL LoRa with about 25 images, 50 epoch, very very minimal. Since my device is not particularly impressive, I did not expect to even complete the test... but I did expect some results, enough to have an idea on how much time was needed for a full training session.
And then, after several hours in which my pc supposedly 'worked', I read on the console:
epoch: 0%| | 0/50 [00:00<?, ?it/s]
A quick check on the OneTrainer window told me that it was 'Starting epoch/caching', further confirming that it did nothing at all while I waited. And I have no idea why.
What (probably very obvious thing) did I miss?
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The complete text of the console is as follows:
No module named 'triton', continuing without triton
Clearing cache directory workspace-cache/run! You can disable this if you want to continue using the same cache.
No backup found, continuing without backup...
C:\D\AI art\0 - StabilityMatrix-win-x64 - Package manager\Data\Packages\OneTrainer\venv\lib\site-packages\tensorboard\default.py:30: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
import pkg_resources
Fetching 17 files: 100%|██████████| 17/17 [00:00<?, ?it/s]
Loading pipeline components...: 71%|███████▏ | 5/7 [00:01<00:00, 5.38it/s]TensorFlow installation not found - running with reduced feature set.
Serving TensorBoard on localhost; to expose to the network, use a proxy or pass --bind_all
TensorBoard 2.20.0 at http://localhost:6006/ (Press CTRL+C to quit)
Loading pipeline components...: 100%|██████████| 7/7 [00:18<00:00, 2.67s/it]
Selected layers: 722
Deselected layers: 72
Note: Enable Debug mode to see the full list of layer names
C:\D\AI art\0 - StabilityMatrix-win-x64 - Package manager\Data\Packages\OneTrainer\modules\util\CustomGradScaler.py:14: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.
super().__init__()
epoch: 0%| | 0/50 [00:00<?, ?it/s]
enumerating sample paths: 100%|██████████| 1/1 [00:00<00:00, 66.71it/s]