diff --git a/README.md b/README.md
index f48daf0..38157f2 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,106 @@
-# cartoongan
+# Cartoongan
+
+*author: Shiyu*
+
+
+
+<br />
+
+
+
+## Description
+
+Convert an image into an cartoon image using [`CartoonGAN`](https://github.com/Yijunmaverick/CartoonGAN-Test-Pytorch-Torch).
+
+
+
+<br />
+
+
+
+
+## Code Example
+
+Load an image from path './test.png'. 
+
+ *Write the pipeline in simplified style*:
+
+```python
+import towhee
+
+towhee.glob('./test.png') \
+      .image_decode() \
+      .img2img_translation.animegan(model_name = 'hayao') \
+      .show()
+```
+
+<img src="./results1.png" height="150px"/>
+
+*Write a pipeline with explicit inputs/outputs name specifications:*
+
+```python
+import towhee
+      
+towhee.glob['path']('./test.png') \
+      .image_decode['path', 'origin']() \
+      .img2img_translation.cartoongan['origin', 'hayao'](model_name = 'Hayao') \
+      .img2img_translation.cartoongan['origin', 'hosoda'](model_name = 'Hosoda') \
+      .img2img_translation.cartoongan['origin', 'paprika'](model_name = 'Paprika') \
+      .img2img_translation.cartoongan['origin', 'shinkai'](model_name = 'Shinkai') \
+      .select['origin', 'hayao', 'hosoda', 'paprika', 'shinkai']() \
+      .show()
+```
+
+<img src="./results2.png" alt="results1" height="150px"/>
+
+
+
+<br />
+
+
+
+## Factory Constructor
+
+Create the operator via the following factory method
+
+***img2img_translation.cartoongan(model_name = 'which anime model to use')***
+
+Model options: 
+
+- Hayao
+- Hosoda
+- Paprika
+- Shinkai
+
+
+
+<br />
+
+
+
+## Interface
+
+Takes in a numpy rgb image in channels first. It transforms input into animated image in numpy form.
+
+
+**Parameters:**
+
+​	***model_name***: *str*
+
+​	Which model to use for transfer.
+
+   ***framework***: *str*
+
+​	Which ML framework being used, for now only supports PyTorch.
+
+  ***device***: *str*
+
+​	Which device being used('cpu' or 'cuda'), defaults to 'cpu'.
+
+
+
+**Returns**: *towhee.types.Image (a sub-class of numpy.ndarray)*
+
+​	The new image.
+
 
-2
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diff --git a/cartoongan.py b/cartoongan.py
index 7534f5d..625f710 100644
--- a/cartoongan.py
+++ b/cartoongan.py
@@ -36,10 +36,10 @@ class Cartoongan(NNOperator):
             transforms.ToTensor()
         ])
 
-    @arg(1, to_image_color('RGB'))
+    @arg(1, to_image_color('BGR'))
     def __call__(self, image):
-        img = self.tfms(image).unsqueeze(0)
-        styled_image = self.model(img)
+        image = self.tfms(image).unsqueeze(0)
+        styled_image = self.model(image)
 
         styled_image = numpy.transpose(styled_image, (1, 2, 0))
         styled_image = PImage.fromarray((styled_image * 255).astype(numpy.uint8))
diff --git a/pytorch/model.py b/pytorch/model.py
index 20e274b..ff94d35 100644
--- a/pytorch/model.py
+++ b/pytorch/model.py
@@ -2,6 +2,7 @@ import os
 import torch
 import torch.nn as nn
 import torch.nn.functional as F
+from torch import Tensor
 from pathlib import Path
 
 class Transformer(nn.Module):
@@ -197,4 +198,6 @@ class Model():
         # BGR -> RGB
         output_image = output_image[[2, 1, 0], :, :]
         output_image = output_image.data.cpu().float() * 0.5 + 0.5
+       
         return output_image.numpy()
+    
\ No newline at end of file
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