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@@ -20,7 +20,7 @@ It was trained on 32x32 terrain images from 265 melee maps including original Bl
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  To run the demo with the ability to generate map files directly/with more coherence, use this notebook on Colab:
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- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/wdcqc/WaveFunctionDiffusion/blob/remaster/WaveFunctionDiffusion_Demo.ipynb)
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  In addition to Dreambooth, a custom VAE model (`AutoencoderTile`) is trained to encode and decode the latents to/from tileset probabilities ("waves") and then generated as Starcraft maps.
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  To run the demo with the ability to generate map files directly/with more coherence, use this notebook on Colab:
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+ https://colab.research.google.com/github/wdcqc/WaveFunctionDiffusion/blob/remaster/WaveFunctionDiffusion_Demo.ipynb
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  In addition to Dreambooth, a custom VAE model (`AutoencoderTile`) is trained to encode and decode the latents to/from tileset probabilities ("waves") and then generated as Starcraft maps.
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