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chore: update README to include --apply_t5_attn_mask requirement for Chroma training #2163

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2025-08-01 23:38:02 +09:00
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@@ -20,7 +20,7 @@ Jul 30, 2025:
- **Breaking Change**: For FLUX.1 and Chroma training, the CFG (Classifier-Free Guidance, using negative prompts) scale option for sample image generation during training has been changed from `--g` to `--l`. The `--g` option is now used for the embedded guidance scale. Please update your prompts accordingly. See [Sample Image Generation During Training](#sample-image-generation-during-training) for details.
- Support for [Chroma](https://huggingface.co/lodestones/Chroma) has been added in PR [#2157](https://github.com/kohya-ss/sd-scripts/pull/2157). Thank you to lodestones for the high-quality model.
- Chroma is a new model based on FLUX.1 schnell. In this repository, `flux_train_network.py` is used for training LoRAs for Chroma with `--model_type chroma`.
- Chroma is a new model based on FLUX.1 schnell. In this repository, `flux_train_network.py` is used for training LoRAs for Chroma with `--model_type chroma`. `--apply_t5_attn_mask` is also needed for Chroma training.
- Please refer to the [FLUX.1 LoRA training documentation](./docs/flux_train_network.md) for more details.
Jul 21, 2025: