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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](https://github.com/mochiyaki/pixel)
## alternatively opt to run `ggc px` with `gguf-connector`
---
# turtle
Flexable backend and frontend applications - pixel 🍕🐢 turtle
* please refer to repo [turtle](https://github.com/mochiyaki/turtle)
## opt to load gguf file and activate the turtle backend with `ggc pz` |