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  A PyTorch-based Generative Adversarial Network (GAN) for training and generating pixel art images.
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- ## Setup
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  Git clone the pixel repo:
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  ```
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  cd pixel
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  ```
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  Start training with your dataset (in ./data/):
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  ```
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  python trainer.py
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  ```
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  When finished, check the model file (in ./models/) then run the inference:
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  ```
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  python generator.py
 
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  A PyTorch-based Generative Adversarial Network (GAN) for training and generating pixel art images.
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+ ## Setup for model training
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  Git clone the pixel repo:
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  ```
 
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  cd pixel
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  ```
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+ ## Train your model
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+
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  Start training with your dataset (in ./data/):
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  ```
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  python trainer.py
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  ```
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+ ## Interact with the post-trained model
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+
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  When finished, check the model file (in ./models/) then run the inference:
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  ```
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  python generator.py