# STYLE2PAINTS

**Repository Path**: hiekay/STYLE2PAINTS

## Basic Information

- **Project Name**: STYLE2PAINTS
- **Description**: STYLE2PAINTS 是新一代的线稿上色 AI ，可根据用户上传的自定义色彩给线稿进行上色
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 33
- **Created**: 2018-01-14
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# STYLE2PAINTS 2.1: the Best Anime Colorization AI!

**First of all, why not spend 5 minutes to try it yourself!**

[WebAPP: PaintsTransfer](http://paintstransfer.com)

The AI can paint on a sketch according to a given specific color style.

The AI can create its own color style to paint on a sketch.

The AI can transfer illustrations' style.

# Tutorial

[Tutorial001(BiliBili)](https://www.bilibili.com/video/av17537429/)

# Results with Hints

**We are the most accurate anime colorization AI to obey your hints!**

*All results below are achieved with one reference image and some human hints.*

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/001.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/002.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/003.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/011.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/004.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/005.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/006.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/007.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/008.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/009.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/010.png)

# Results without Hints

**We are the most creative anime colorization AI without your hints!**

*All results below are achieved **WITHOUT** any reference image or human hints.*

**IMPORTANT: Here the only inputs is one sketch.**

**IMPORTANT: NO human hint and NO reference is involved!**

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/012.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/013.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/014.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/015.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/016.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/017.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/018.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/019.png)

![web_preview](https://raw.githubusercontent.com/lllyasviel/style2paints/master/tempfile/020.png)

# Launch Server

*you need a python 3.5/3.6 GPU environment with cuda.*

    pip install tensorflow_gpu
    pip install keras
    pip install bottle
    pip install gevent
    pip install h5py
    pip install opencv-python
    pip install scikit-image
    git clone https://github.com/lllyasviel/style2paints.git
    (Then you need to download all models from our Google Drive and put these into 'server' folder.)
    cd style2paints/server
    python server.py

# Models

Currently, we reserve all rights about all these models. 

We use Google Drive to upload models:

    https://drive.google.com/open?id=1fWi4wmNj-xr-nCzuWMsN2rcm0249_Aem
    
Current model list of the 8 neural networks:

    base_head.net
    dull_head.net
    gate_head.net
    line_head.net
    base_neck.net
    clear_tail.net
    noise_tail.net
    base_reader.net

# Training Datasets

1. The recommended training dataset of illustrations is the 400k images from [nico-opendata](https://nico-opendata.jp/en/seigadata/index.html)

2. The recommended training sketches is from [sketchKeras](https://github.com/lllyasviel/sketchKeras)

# Community

QQ Group ID: 184467946

## Acknowledgements

Thanks a lot to TaiZan. This project could not be achieved without his great help.