From b7cff0a7548e5e33f735f06293ba24119fdaa585 Mon Sep 17 00:00:00 2001 From: Kohya S Date: Wed, 4 Sep 2024 21:35:47 +0900 Subject: [PATCH] update README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 84065570..c0acfa1d 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ The command to install PyTorch is as follows: ### Recent Updates Sep 4, 2024: -- T5XXL LoRA is supported in LoRA training. Remove `--network_train_unet_only` and add `train_t5xxl=True` to `--network_args`. CLIP-L is also trained at the same time (T5XXL only cannot be trained). The trained model can be used with ComfyUI. +- T5XXL LoRA is supported in LoRA training. Remove `--network_train_unet_only` and add `train_t5xxl=True` to `--network_args`. CLIP-L is also trained at the same time (T5XXL only cannot be trained). The trained model can be used with ComfyUI. See [Key Features for FLUX.1 LoRA training](#key-features-for-flux1-lora-training) for details. - In LoRA training, when `--fp8_base` is specified, you can specify `t5xxl_fp8_e4m3fn.safetensors` as the T5XXL weights. However, it is recommended to use fp16 weights for caching. - Fixed an issue where the training CLIP-L LoRA was not used in sample image generation during LoRA training.