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# DreamBooth model for Starcraft:Remastered terrain
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This is a Stable Diffusion model fine-tuned on Starcraft terrain images on the Space Platform tileset with DreamBooth. It can be used by
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It was trained on 32x32 terrain images from 265 melee maps including original Blizzard maps and those downloaded from scmscx.com and broodwarmaps.
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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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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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# DreamBooth model for Starcraft:Remastered terrain
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This is a Stable Diffusion model fine-tuned on Starcraft terrain images on the Space Platform tileset with DreamBooth. It can be used by adding the `instance_prompt`: **isometric scspace terrain**
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It was trained on 32x32 terrain images from 265 melee maps including original Blizzard maps and those downloaded from scmscx.com and broodwarmaps.net.
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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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