Details on the code used to produce and use this model are available at:
https://github.com/schrum2/MarioDiffusion
That repo has instructions to check out this model and apply it to the generation of Super Mario Bros. level scenes. There is also an interactive GUI for constructing complete levels out of model-generated scenes.
This model makes use of https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5 as a text embedding model for use with diffusion to generate Mario levels. Negative guidance was used during training to allow the inclusion of negative prompts.
To see a model using Alibaba-NLP/gte-large-en-v1.5 that does not use negative guidance, see https://huggingface.co/schrum2/MarioDiffusion-GTE-single-regular0. To see a model that uses negative guidance with a simple token-based transformer model for text embedding, see https://huggingface.co/schrum2/MarioDiffusion-MLM-negative0.
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