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Kohya S
2023-10-29 20:52:43 +09:00
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@@ -249,6 +249,21 @@ ControlNet-LLLite, a novel method for ControlNet with SDXL, is added. See [docum
## Change History ## Change History
### Oct 29, 2023 / 2023/10/29
(To be updated)
- `sdxl_train.py` now supports different learning rates for each Text Encoder.
- Example:
- `--learning_rate 1e-6`: train U-Net only
- `--train_text_encoder --learning_rate 1e-6`: train U-Net and two Text Encoders with the same learning rate (same as the previous version)
- `--train_text_encoder --learning_rate 1e-6 --learning_rate_te1 1e-6 --learning_rate_te2 1e-6`: train U-Net and two Text Encoders with the different learning rates
- `--train_text_encoder --learning_rate 0 --learning_rate_te1 1e-6 --learning_rate_te2 1e-6`: train two Text Encoders only
- `--train_text_encoder --learning_rate 1e-6 --learning_rate_te1 1e-6 --learning_rate_te2 0`: train U-Net and one Text Encoder only
- `--train_text_encoder --learning_rate 0 --learning_rate_te1 0 --learning_rate_te2 1e-6`: train one Text Encoder only
- `sdxl_train.py` で、二つのText Encoderそれぞれに独立した学習率が指定できるようになりました。
- サンプルは上の英語版を参照してください。
### Oct 11, 2023 / 2023/10/11 ### Oct 11, 2023 / 2023/10/11
- Fix to work `make_captions_by_git.py` with the latest version of transformers. - Fix to work `make_captions_by_git.py` with the latest version of transformers.
- Improve `gen_img_diffusers.py` and `sdxl_gen_img.py`. Both scripts now support the following options: - Improve `gen_img_diffusers.py` and `sdxl_gen_img.py`. Both scripts now support the following options: