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# MoMA Model Card |
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## Model details |
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**Model type:** |
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MoMA is an open-source image personalization model. It has new attention layers and a multi-modal large language model fine-tuned from LLaVA-7B. |
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**Paper or resources for more information:** |
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+ Project page: https://moma-adapter.github.io/ |
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+ Github: https://github.com/bytedance/MoMA/tree/main |
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+ Paper: https://arxiv.org/abs/2404.05674 |
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+ Online Demo: https://huggingface.co/spaces/yizhezhu/MoMA_zeroGPU |
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**Where to send questions or comments about the model:** |
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https://github.com/bytedance/MoMA/tree/main |
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## Intended use |
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**Primary intended uses:** |
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The primary use is research on personalized image generation tasks. |
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**Primary intended users:** |
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The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. |
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