# AnimeGanV2 Style-Transfer Operator

Authors: filip

## Overview

AnimeGanV2 is a style transfer net that transforms images to looking like they fit in an anime movie.

## Interface

```python
__init__(self, model_name: str, framework: str = 'pytorch')
```

**Args:**

- model_name:
  - which weights to use for inference.
  - supports 'celeba', 'facepaintv1', 'facepaitv2', 'hayao', 'paprika', 'shinkai'
- framework:
  - the framework of the model
  - supported types: `str`, default is 'pytorch'

```python
__call__(self,  image: 'towhee.types.Image')
```

**Args:**

- image:
  - the input image
  - supported types: `towhee.types.Image`

**Returns:**

The Operator returns a tuple `Tuple[('styled_image', numpy.ndarray)]` containing following fields:

- styled_image:
  - styled photo
  - data type: `numpy.ndarray`
  - shape: (3, x, x)
  - format: RGB
  - values: [0,1]

## Requirements

You can get the required python package by [requirements.txt](./requirements.txt).


## Reference

Jie Chen, Gang Liu, Xin Chen
"AnimeGAN: A Novel Lightweight GAN for Photo Animation."
ISICA 2019: Artificial Intelligence Algorithms and Applications pp 242-256, 2019.