metadata
license: mit
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
- kick start the training process with defined script
- training epoch above; see the example plot below
Interact with the post-trained model
When finished, check the model file (in ./models/) then run the inference:
python generator.py
- for technical details, please check it out from this repo