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-# style-transfer-animegan
+# Pipeline: Style Transfer using AnimeGanV2
 
+Authors: filip
+
+## Overview
+
+The pipeline is used to **animate images**. It uses the AnimeGanV2 to cartoonize the images.
+
+## Interface
+
+**Input Arguments:**
+
+- img_path:
+  - the input image path
+  - supported types: `str`
+
+**Pipeline Output:**
+
+The pipeline 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]
+
+## How to use
+
+1. Install [Towhee](https://github.com/towhee-io/towhee)
+
+```bash
+$ pip3 install towhee
+```
+
+> You can refer to [Getting Started with Towhee](https://towhee.io/) for more details. If you have any questions, you can [submit an issue to the towhee repository](https://github.com/towhee-io/towhee/issues).
+
+2. Run it with Towhee
+
+```python
+>>> from towhee import pipeline
+
+>>> img_path = 'path/to/your/image'
+>>> embedding_pipeline = pipeline('filip-halt/style-transfer-animegan')
+>>> embedding = embedding_pipeline(img_path)
+```
+
+## How it works
+
+This pipeline includes one operator: [filip-halt/animegan-style-transfer](https://hub.towhee.io/filip-halt/animegan-style-transfer). This operator stylizes the image.
+
+> Refer [Towhee architecture](https://github.com/towhee-io/towhee#towhee-architecture) for basic concepts in Towhee: pipeline, operator, dataframe.
+
+
+## References
+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.