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bmaltais 2023-01-16 13:33:17 -05:00
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@ -99,13 +99,14 @@ Once you have created the LoRA network you can generate images via auto1111 by i
## Change history
* 2023/01/15 (v20.2.1):
* 2023/01/16 (v20.2.1):
- Merging latest code update from kohya
- Added `--max_train_epochs` and `--max_data_loader_n_workers` option for each training script.
- If you specify the number of training epochs with `--max_train_epochs`, the number of steps is calculated from the number of epochs automatically.
- You can set the number of workers for DataLoader with `--max_data_loader_n_workers`, default is 8. The lower number may reduce the main memory usage and the time between epochs, but may cause slower dataloading (training).
- Fix loading some VAE or .safetensors as VAE is failed for `--vae` option. Thanks to Fannovel16!
- Add negative prompt scaling for `gen_img_diffusers.py` You can set another conditioning scale to the negative prompt with `--negative_scale` option, and `--nl` option for the prompt. Thanks to laksjdjf!
- Refactoring of GUI code and fixing mismatch... and possibly introducing bugs...
* 2023/01/11 (v20.2.0):
- Add support for max token lenght
* 2023/01/10 (v20.1.1):