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V11 release

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bmaltais 2022-11-27 09:57:07 -05:00
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README.md
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@ -139,4 +139,11 @@ Refer to this url for more details about finetuning: https://note.com/kohya_ss/n
- Added minimum/maximum resolution specification when using Aspect Ratio Bucketing (min_bucket_reso/max_bucket_reso option).
- Added extension specification for caption files (caption_extention).
- Added support for images with .webp extension.
- Added a function that allows captions to learning images and regularized images.
- Added a function that allows captions to learning images and regularized images.
* 11/27 (v11) update:
- DiffUsers 0.9.0 is required. Update as `pip install -U diffusers[torch]==0.9.0` in the virtual environment.
- The way captions are handled in DreamBooth has changed. When a caption file existed, the file's caption was added to the folder caption until v10, but from v11 it is only the file's caption. Please be careful.
- Fixed a bug where prior_loss_weight was applied to learning images. We apologize for the inconvenience.
- Compatible with Stable Diffusion v2.0. Add the --v2 option. If you are using 768-v-ema.ckpt or stable-diffusion-2 instead of stable-diffusion-v2-base, add --v_parameterization as well. Learn more about other options.
- Added options related to the learning rate scheduler.
- You can download and use DiffUsers models directly from Hugging Face. In addition, DiffUsers models can be saved during training.

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train_db_fixed.py
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