release training codes and config files.

Author: sczhou

README.md

@@ -143,7 +143,7 @@ python inference_colorization.py --input_path [image folder]|[image path]
 python inference_inpainting.py --input_path [image folder]|[image path]
 ```
 #### Training:
-You can find training commands in training documents: [English](docs/train.md) **|** [简体中文](docs/train_CN.md).
+The training commands can be found in the documents: [English](docs/train.md) **|** [简体中文](docs/train_CN.md).
 
 ### Citation
 If our work is useful for your research, please consider citing:

docs/train.md

@@ -8,7 +8,7 @@
 
 ## Training
 
-#### 👾 Stage I - VQGAN
+### 👾 Stage I - VQGAN
 - Training VQGAN:
   > python -m torch.distributed.launch --nproc_per_node=8 --master_port=4321 basicsr/train.py -opt options/VQGAN_512_ds32_nearest_stage1.yml --launcher pytorch
 
@@ -17,11 +17,11 @@
 
 - If you don't require training your own VQGAN, you can find pre-trained VQGAN and the corresponding code sequence in the folder of Releases v0.1.0: https://github.com/sczhou/CodeFormer/releases/tag/v0.1.0
 
-#### 🚀 Stage II - CodeFormer (w=0)
+### 🚀 Stage II - CodeFormer (w=0)
 - Training Code Sequence Prediction Module:
   > python -m torch.distributed.launch --nproc_per_node=8 --master_port=4322 basicsr/train.py -opt options/CodeFormer_stage2.yml --launcher pytorch
 
-#### 🛸 Stage III - CodeFormer (w=1)
+### 🛸 Stage III - CodeFormer (w=1)
 - Training Controllable Module:
   > python -m torch.distributed.launch --nproc_per_node=8 --master_port=4323 basicsr/train.py -opt options/CodeFormer_stage3.yml --launcher pytorch
 

docs/train_CN.md

@@ -8,7 +8,7 @@
 
 ## 训练
 
-#### 👾 阶段 I - VQGAN
+### 👾 阶段 I - VQGAN
 - 训练VQGAN:
   > python -m torch.distributed.launch --nproc_per_node=8 --master_port=4321 basicsr/train.py -opt options/VQGAN_512_ds32_nearest_stage1.yml --launcher pytorch
 
@@ -17,11 +17,11 @@
 
 - 如果你不需要训练自己的VQGAN，可以在Release v0.1.0文档中找到预训练的VQGAN和对应的密码本序列: https://github.com/sczhou/CodeFormer/releases/tag/v0.1.0
 
-#### 🚀 阶段 II - CodeFormer (w=0)
+### 🚀 阶段 II - CodeFormer (w=0)
 - 训练密码本训练预测模块:
   > python -m torch.distributed.launch --nproc_per_node=8 --master_port=4322 basicsr/train.py -opt options/CodeFormer_stage2.yml --launcher pytorch
 
-#### 🛸 阶段 III - CodeFormer (w=1)
+### 🛸 阶段 III - CodeFormer (w=1)
 - 训练可调模块:
   > python -m torch.distributed.launch --nproc_per_node=8 --master_port=4323 basicsr/train.py -opt options/CodeFormer_stage3.yml --launcher pytorch