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fix flip_aug, alpha_mask, random_crop issue in caching

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Kohya S
2024-09-26 20:51:40 +09:00
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@@ -143,6 +143,8 @@ The majority of scripts is licensed under ASL 2.0 (including codes from Diffuser
- transformers, accelerate and huggingface_hub are updated.
- If you encounter any issues, please report them.
- Fixed a bug in the cache of latents. When `flip_aug`, `alpha_mask`, and `random_crop` are different in multiple subsets in the dataset configuration file (.toml), the last subset is used instead of reflecting them correctly.
- Fixed an issue where the timesteps in the batch were the same when using Huber loss. PR [#1628](https://github.com/kohya-ss/sd-scripts/pull/1628) Thanks to recris!
- Improvements in OFT (Orthogonal Finetuning) Implementation