diff --git a/README.md b/README.md
index 42007e780ea7f62d1832cdd32b8fa6cb8d193c02..909dff0cc5323e1209ce9dcc745c6ccee426f946 100644
--- a/README.md
+++ b/README.md
@@ -10,10 +10,7 @@ PaddleGAN 是一个基于飞桨的生成对抗网络开发工具包.
 
 ### 图片变换
 <div align='center'>
-  <img src='./docs/imgs/A2B.png'>
-</div>
-<div align='center'>
-  <img src='./docs/imgs/B2A.png'>
+  <img src='./docs/imgs/horse2zebra.gif'>
 </div>
 
 ### 妆容迁移
diff --git a/README_en.md b/README_en.md
index ba36a0c1b75167e7f6c2b176ff0694a36d6f8485..1f27baa8f41ff2608002306216e3b69899bbb359 100644
--- a/README_en.md
+++ b/README_en.md
@@ -10,10 +10,7 @@ PaddleGAN is an development kit of Generative Adversarial Network based on Paddl
 
 ### Image Translation
 <div align='center'>
-  <img src='./docs/imgs/A2B.png'>
-</div>
-<div align='center'>
-  <img src='./docs/imgs/B2A.png'>
+  <img src='./docs/imgs/horse2zebra.gif'>
 </div>
 
 
diff --git a/docs/en_US/tutorials/pix2pix_cyclegan.md b/docs/en_US/tutorials/pix2pix_cyclegan.md
index f87a96f4a08887d57e74bd17b46c36b9e6c002cd..818ea8d5e7ce148e51d46583a04356450bb7c0da 100644
--- a/docs/en_US/tutorials/pix2pix_cyclegan.md
+++ b/docs/en_US/tutorials/pix2pix_cyclegan.md
@@ -37,9 +37,12 @@
 
 ## 1.3 Results
 
-![](../imgs/horse2zebra.png)
+![](../../imgs/horse2zebra.png)
 
-[model download](TODO)
+## 1.4 模型下载
+| 模型 | 数据集 | 下载地址 |
+|---|---|---|
+| Pix2Pix_cityscapes  | cityscapes | [Pix2Pix_cityscapes](https://paddlegan.bj.bcebos.com/models/Pix2Pix_cityscapes.pdparams)
 
 
 
@@ -49,7 +52,7 @@
 
    CycleGAN uses unpaired pictures for image translation, input two different images with different styles, and automatically perform style transfer. CycleGAN consists of two generators and two discriminators, generator A is inputting images of style A and outputting images of style B, generator B is inputting images of style B and outputting images of style A. The biggest difference between CycleGAN and pix2pix is that CycleGAN can realize image translation without establishing a one-to-one mapping between the source domain and the target domain.
 
-![](../imgs/cyclegan.png)
+![](../../imgs/cyclegan.png)
 
 ## 2.2 How to use
 
@@ -87,9 +90,13 @@
 
 ## 2.3 Results
 
-![](../imgs/A2B.png)
+![](../../imgs/A2B.png)
 
-[model download](TODO)
+## 2.4 模型下载
+| 模型 | 数据集 | 下载地址 |
+|---|---|---|
+| CycleGAN_cityscapes  | cityscapes | [CycleGAN_cityscapes](https://paddlegan.bj.bcebos.com/models/CycleGAN_cityscapes.pdparams) |
+| CycleGAN_horse2zebra | horse2zebra | [CycleGAN_horse2zebra](https://paddlegan.bj.bcebos.com/models/CycleGAN_horse2zebra.pdparams)
 
 
 # References
diff --git a/docs/en_US/tutorials/psgan.md b/docs/en_US/tutorials/psgan.md
index 2fd5d894962ece0a84a9325ff36451e3e9dc4a74..4b1f723780bf49e71656aefa99c2b88afef07b1a 100644
--- a/docs/en_US/tutorials/psgan.md
+++ b/docs/en_US/tutorials/psgan.md
@@ -10,7 +10,7 @@ This paper is to address the makeup transfer task, which aims to transfer the ma
 
 ## 2. How to use
 ### 2.1 Test
-Pretrained model can be downloaded under following link: [psgan_weight](https://paddlegan.bj.bcebos.com/models/psgan_weight.pkl)
+Pretrained model can be downloaded under following link: [psgan_weight](https://paddlegan.bj.bcebos.com/models/psgan_weight.pdparams)
 
 Running the following command to complete the makeup transfer task. It will geneate the transfered image in the current path when the program running sucessfully.
 
@@ -79,7 +79,7 @@ Notation: In train phase, the `isTrain` value in makeup.yaml file is `True`, but
 
 Model|Dataset|BatchSize|Inference speed|Download
 ---|:--:|:--:|:--:|:--:
-PSGAN|MT-Dataset| 1 | 1.9s/image (GPU:P40) | [model](https://paddlegan.bj.bcebos.com/models/psgan_weight.pkl)
+PSGAN|MT-Dataset| 1 | 1.9s/image (GPU:P40) | [model](https://paddlegan.bj.bcebos.com/models/psgan_weight.pdparams)
 
 ## 3. Result
 ![](../../imgs/makeup_shifter.png)
diff --git a/docs/imgs/horse2zebra.gif b/docs/imgs/horse2zebra.gif
new file mode 100644
index 0000000000000000000000000000000000000000..93dc63be84c7502dc0d2bd76570858f9e8a7b278
Binary files /dev/null and b/docs/imgs/horse2zebra.gif differ
diff --git a/docs/zh_CN/tutorials/pix2pix_cyclegan.md b/docs/zh_CN/tutorials/pix2pix_cyclegan.md
index 7cbf7441fadd308754c2372766463caa519b660d..5a211306f6be023e202a42f04949a258d7a27b65 100644
--- a/docs/zh_CN/tutorials/pix2pix_cyclegan.md
+++ b/docs/zh_CN/tutorials/pix2pix_cyclegan.md
@@ -40,7 +40,10 @@
 
 ![](../../imgs/horse2zebra.png)
 
-[模型下载](TODO)
+## 1.4 模型下载
+| 模型 | 数据集 | 下载地址 |
+|---|---|---|
+| Pix2Pix_cityscapes  | cityscapes | [Pix2Pix_cityscapes](https://paddlegan.bj.bcebos.com/models/Pix2Pix_cityscapes.pdparams)
 
 
 # 2 CycleGAN
@@ -88,7 +91,11 @@
 
 ![](../../imgs/A2B.png)
 
-[模型下载](TODO)
+## 2.4 模型下载
+| 模型 | 数据集 | 下载地址 |
+|---|---|---|
+| CycleGAN_cityscapes  | cityscapes | [CycleGAN_cityscapes](https://paddlegan.bj.bcebos.com/models/CycleGAN_cityscapes.pdparams) |
+| CycleGAN_horse2zebra | horse2zebra | [CycleGAN_horse2zebra](https://paddlegan.bj.bcebos.com/models/CycleGAN_horse2zebra.pdparams)
 
 
 # 参考：
diff --git a/docs/zh_CN/tutorials/psgan.md b/docs/zh_CN/tutorials/psgan.md
index b4b4510223999d4b4e01db7e21bfb87460b8ade4..6b039606df2e4e9aa57035614236d2c55cc22b1b 100644
--- a/docs/zh_CN/tutorials/psgan.md
+++ b/docs/zh_CN/tutorials/psgan.md
@@ -10,7 +10,7 @@
 
 ## 2. 使用方法
 ### 2.1 测试
-预训练模型可以从如下地址下载: [psgan_weight](https://paddlegan.bj.bcebos.com/models/psgan_weight.pkl)
+预训练模型可以从如下地址下载: [psgan_weight](https://paddlegan.bj.bcebos.com/models/psgan_weight.pdparams)
 
 运行如下命令，就可以完成妆容迁移，程序运行成功后，会在当前文件夹生成妆容迁移后的图片文件。本项目中提供了原始图片和参考供展示使用，具体命令如下所示：
 
@@ -75,7 +75,7 @@ data
 ### 2.3 模型
 Model|Dataset|BatchSize|Inference speed|Download
 ---|:--:|:--:|:--:|:--:
-PSGAN|MT-Dataset| 1 | 1.9s(GPU:P40) | [model](https://paddlegan.bj.bcebos.com/models/psgan_weight.pkl)
+PSGAN|MT-Dataset| 1 | 1.9s(GPU:P40) | [model](https://paddlegan.bj.bcebos.com/models/psgan_weight.pdparams)
 
 ## 3. 妆容迁移结果展示
 
diff --git a/ppgan/apps/psgan_predictor.py b/ppgan/apps/psgan_predictor.py
index 029beb9053023dcbc824ee7dae86a259556a9f95..29fa0e8190a3b03d0ac66490912099d47a6c043b 100644
--- a/ppgan/apps/psgan_predictor.py
+++ b/ppgan/apps/psgan_predictor.py
@@ -53,7 +53,7 @@ def mask2image(mask: np.array, format="HWC"):
     return canvas
 
 
-PS_WEIGHT_URL = "https://paddlegan.bj.bcebos.com/models/psgan_weight.pkl"
+PS_WEIGHT_URL = "https://paddlegan.bj.bcebos.com/models/psgan_weight.pdparams"
 
 
 class PreProcess:
diff --git a/ppgan/engine/trainer.py b/ppgan/engine/trainer.py
index 0e91a8fdf8fc2bf1f8b6a0a1d65fc74d210e2d0b..145480480cb9ffff91ad59970ae0454e1a48c281 100644
--- a/ppgan/engine/trainer.py
+++ b/ppgan/engine/trainer.py
@@ -256,7 +256,7 @@ class Trainer:
         assert name in ['checkpoint', 'weight']
 
         state_dicts = {}
-        save_filename = 'epoch_%s_%s.pkl' % (epoch, name)
+        save_filename = 'epoch_%s_%s.pdparams' % (epoch, name)
         save_path = os.path.join(self.output_dir, save_filename)
         for net_name, net in self.model.nets.items():
             state_dicts[net_name] = net.state_dict()
@@ -275,7 +275,8 @@ class Trainer:
         if keep > 0:
             try:
                 checkpoint_name_to_be_removed = os.path.join(
-                    self.output_dir, 'epoch_%s_%s.pkl' % (epoch - keep, name))
+                    self.output_dir,
+                    'epoch_%s_%s.pdparams' % (epoch - keep, name))
                 if os.path.exists(checkpoint_name_to_be_removed):
                     os.remove(checkpoint_name_to_be_removed)