This is an anime character face generator implemented in Tensorflow.

Given some text descriptions, the model is capable to generate some anime character faces that fit the descriptions.

The model is mixed with conditional Deep Convolutional Generative Adversarial Networks (DCGAN) and Least Squares Generative Adversarial Networks (LSGAN).

The training data are images of anime character faces.

They are better to be squared, since those images will be resized to 64*64.

For example:

Due to the storage limit of Github, only 200 pictures are uploaded as samples.

More training data can be downloaded here.

Thanks to En-Yu Fan for collecting the training data.

Given text descriptions, the model will generate corresponding images with size 64*64.

For example:

Description	Image
blue hair red eyes
pink hair green eyes
black hair yellow eyes

First, put your training data under ./faces/.

Second, please clone skip-thoughts and put it under ./model/.

Third, put your Tensorflow model under ./model/DCGAN/ if any.

The directory structure under ./model/ will be ./model/skip-thoughts/ and ./model/DCGAN/.

python3 DCGAN.py --train

After executing the following commands, the images will be generated under ./samples/.

python3 DCGAN.py --generate -t [Description File] -n [# image per description]

• [Description File]: A text file that contains descriptions. See description.txt as an example.

• [# image per description]: Number of images that will be generated per desciprtion. Recommended number: 1.

The code is modified from text-to-image.