pixel

A PyTorch-based Generative Adversarial Network (GAN) for training and generating pixel art images.

Setup for model training

Git clone the pixel repo:

git clone https://github.com/mochiyaki/pixel

Get inside the cloned folder:

cd pixel

Train your model

Start training with your dataset (in ./data/):

python trainer.py

screenshot

  • kick start the training process with defined script

screenshot

  • check the training epoch (currently 50); see the example plot above

Interact with the established model

When finished, check the model file (in ./models/) then run the inference:

python generator.py

screenshot

  • for technical details, please check it out from this repo
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