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
- 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
- for technical details, please check it out from this repo
alternatively opt to run ggc px with gguf-connector
turtle
Flexable backend and frontend applications - pixel 🍕🐢 turtle
- please refer to repo turtle