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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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0acrylic
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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1asphalt
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End of preview. Expand
in Dataset Viewer.
We generate a high-resolution tileable texture dataset by prompting a pre-trained Stable Diffusion model.
The dataset consists of 130 classes resulting in more than 10,000 unique textures.
More details can be found in our paper.
The generated samples have been curated manually to select only the most relevant textures.
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