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Kohya S
2024-02-26 23:29:41 +09:00
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@@ -249,6 +249,13 @@ ControlNet-LLLite, a novel method for ControlNet with SDXL, is added. See [docum
## Change History ## Change History
### Masked loss
`train_network.py` and `sdxl_train_network.py` now support the masked loss. `--masked_loss` option is added.
ControlNet dataset is used to specify the mask. The mask images should be the RGB images. The pixel value 255 in R channel is treated as the mask (the loss is calculated only for the pixels with the mask), and 0 is treated as the non-mask. See details for the dataset specification in the [LLLite documentation](./docs/train_lllite_README.md#preparing-the-dataset).
### Working in progress ### Working in progress
- `train_network.py` and `sdxl_train_network.py` are modified to record some dataset settings in the metadata of the trained model (`caption_prefix`, `caption_suffix`, `keep_tokens_separator`, `secondary_separator`, `enable_wildcard`). - `train_network.py` and `sdxl_train_network.py` are modified to record some dataset settings in the metadata of the trained model (`caption_prefix`, `caption_suffix`, `keep_tokens_separator`, `secondary_separator`, `enable_wildcard`).