NaN showing when training LORA model

It kept stopping at caching latents, and I've uninstalled and reset my PC, but the same problem occurred.

accelerator device: cuda
INFO loading model for process 0/1 train_util.py:4385
INFO load StableDiffusion checkpoint: train_util.py:4341
F:/Kohya/kohya_ss/models/SD-v1.5-pruned.ckpt
2024-04-19 03:02:51 INFO UNet2DConditionModel: 64, 8, 768, False, False original_unet.py:1387
2024-04-19 03:02:56 INFO loading u-net: model_util.py:1009
INFO loading vae: model_util.py:1017
2024-04-19 03:02:58 INFO loading text encoder: model_util.py:1074
INFO Enable xformers for U-Net train_util.py:2660
import network module: networks.lora
2024-04-19 03:02:59 INFO [Dataset 0] train_util.py:2079
INFO caching latents. train_util.py:974
INFO checking cache validity... train_util.py:984
100%|██████████████████████████████████████████████████████████████████████████████████████████| 18/18 [00:00

Start at library/train_util.py:2428, where cache_batch_latents raises the reported error, and trace the call from train_network.py:272 through dataset.cache_latents. Reproduce with the supplied configuration and the named JPEG, then verify that latent caching completes without the NaN error.

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