Update README.md

README.md

@@ -11,12 +11,12 @@ Language: **English**
 
 ## Instructions
 
- The dependencies and installation are basically the same as the [**original model**](https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2).
+ The dependencies and installation are basically the same as the [**base model**](https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2).
 
  We provide two types of trained LoRA weights for you to test.
  
  Then download the model using the following commands:
-
+ 
 ```bash
 cd HunyuanDiT
 # Use the huggingface-cli tool to download the model.
@@ -26,6 +26,7 @@ huggingface-cli download Tencent-Hunyuan/HYDiT-LoRA --local-dir ./ckpts/t2i/lora
 python sample_t2i.py --prompt "青花瓷风格，一只猫在追蝴蝶"  --no-enhance --load-key ema --lora-ckpt ./ckpts/t2i/lora/porcelain --infer-mode fa
 ```
 
+
 ## Training
 
 We provide three types of weights for fine-tuning LoRA, `ema`, `module` and `distill`, and you can choose according to the actual effect. By default, we use `ema` weights. 
@@ -36,7 +37,6 @@ If multiple resolution are used, you need to add the `--multireso` and `--reso-s
 
 If you want to train LoRA with HunYuanDiT v1.1, you could add `--use-style-cond`, `--size-cond 1024 1024` and `--beta-end 0.03`.
 
-
 ```bash
 model='DiT-g/2'                                                   # model type
 task_flag="lora_porcelain_ema_rank64"                             # task flag