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@@ -11,4 +11,6 @@ There is also an interactive GUI for constructing complete levels out of model-g
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  This model had good performance in our experiments, but it challenging to use because it was trained with
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  lengthy "absence" captions that list various elements that are absent in each game scene. When that information
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- is not supplied, the results can be counterintuitive.
 
 
 
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  This model had good performance in our experiments, but it challenging to use because it was trained with
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  lengthy "absence" captions that list various elements that are absent in each game scene. When that information
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+ is not supplied, the results can be counterintuitive. We recommend
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+ https://huggingface.co/schrum2/MarioDiffusion-MLM-regular0
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+ as a simpler starter model for generating Mario levels.