diff --git a/README.md b/README.md
index e6a964c..5b158db 100644
--- a/README.md
+++ b/README.md
@@ -33,6 +33,9 @@
|--------------------------------------------------|-------------------------------------------------------|---------------------------------------------|---------------------------------------------------|
| 
| 
| 
| 
|
+## 🤗 Community Contribution Leaderboard
+1. By [@visualbruno](https://github.com/visualbruno)
+ - ComfyUI-Hunyuan3d-2-1: https://github.com/visualbruno/ComfyUI-Hunyuan3d-2-1
## ☯️ **Hunyuan3D 2.1**
diff --git a/hy3dshape/README-zh.md b/hy3dshape/README-zh.md
deleted file mode 100644
index b526a7e..0000000
--- a/hy3dshape/README-zh.md
+++ /dev/null
@@ -1,47 +0,0 @@
-# Hunyuan3D-2.1-Shape
-
-
-# 训练
-
-我们会展示小数据集上DiT的训练全流程
-
-## 数据预处理
-
-渲染和水密化参考[链接](tools/README.md)，最终得到如下结构
-
-``` yaml
-dataset/preprocessed/{uid}
-├── geo_data
-│ ├── {uid}_sdf.npz
-│ ├── {uid}_surface.npz
-│ └── {uid}_watertight.obj
-└── render_cond
- ├── 000.png
- ├── ...
- ├── 023.png
- ├── mesh.ply
- └── transforms.json
-```
-
-我们提供了一个8个case(均来自Objaverse-XL)预处理后的结果在 tools/mini_trainset，可以直接用于过拟合训练
-
-
-
-## 启动训练
-
-我们提供了可供参考的训练配置文件和启动脚本（默认单机8卡deepspeed训练），用户根据需要自行修改。
-
-配置文件
-```
-configs/dit-from-scratch-overfitting-flowmatching-dinog518-bf16-lr1e4-1024.yaml
-```
-启动脚本
-
-```
-export node_num=1
-export node_rank=0
-export master_ip=0.0.0.0 # set your master_ip
-export config='configs/dit-from-scratch-overfitting-flowmatching-dinog518-bf16-lr1e4-1024.yaml'
-export output_dir='output_folder/dit/overfitting'
-bash scripts/train_deepspeed.sh $node_num $node_rank $master_ip $config $output_dir
-```
\ No newline at end of file
diff --git a/hy3dshape/README.md b/hy3dshape/README.md
index d7b864e..c81fc15 100644
--- a/hy3dshape/README.md
+++ b/hy3dshape/README.md
@@ -45,10 +45,17 @@ configs/hunyuandit-mini-overfitting-flowmatching-dinog518-bf16-lr1e4-512.yaml
Launch Script
```
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+export num_gpu_per_node=8
+
export node_num=1
export node_rank=0
export master_ip=0.0.0.0 # set your master_ip
-export config=configs/hunyuandit-mini-overfitting-flowmatching-dinog518-bf16-lr1e4-512.yaml
-export output_dir=output_folder/dit/overfitting
-bash scripts/train_deepspeed.sh $node_num $node_rank $master_ip $config $output_dir
-```
\ No newline at end of file
+
+# export config=configs/hunyuandit-finetuning-flowmatching-dinol518-bf16-lr1e5-4096.yaml
+# export output_dir=output_folder/dit/fintuning_lr1e5
+export config=configs/hunyuandit-mini-overfitting-flowmatching-dinol518-bf16-lr1e4-4096.yaml
+export output_dir=output_folder/dit/overfitting_depth_16_token_4096_lr1e4
+
+bash scripts/train_deepspeed.sh $node_num $node_rank $num_gpu_per_node $master_ip $config $output_dir
+```
diff --git a/hy3dshape/configs/hunyuandit-mini-overfitting-flowmatching-dinol518-bf16-lr1e4-4096.yaml b/hy3dshape/configs/hunyuandit-mini-overfitting-flowmatching-dinol518-bf16-lr1e4-4096.yaml
index 62cae73..bc3ec2a 100644
--- a/hy3dshape/configs/hunyuandit-mini-overfitting-flowmatching-dinol518-bf16-lr1e4-4096.yaml
+++ b/hy3dshape/configs/hunyuandit-mini-overfitting-flowmatching-dinol518-bf16-lr1e4-4096.yaml
@@ -1,6 +1,6 @@
name: "HunyuanDiT flowmatching; VAE: 4096 token length; ImageEncoder: DINO-v2 Large; ImageSize: 518"
-# oversitting successfully cost 68G memory under current settings
-# you can adjust model arch or batch_size according to your GPU memory
+# Overfitting successfully cost 68G memory under current settings
+# You can adjust model arch or batch_size according to your GPU memory
training:
steps: 10_0000_0000