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# MoMA Model Card

## Model details

**Model type:**
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.

**Paper or resources for more information:**
+ Project page: https://moma-adapter.github.io/
+ Github: https://github.com/bytedance/MoMA/tree/main
+ Paper: https://arxiv.org/abs/2404.05674
+ Online Demo: https://huggingface.co/spaces/yizhezhu/MoMA_zeroGPU

**Where to send questions or comments about the model:**
https://github.com/bytedance/MoMA/tree/main

## Intended use
**Primary intended uses:**
The primary use is research on personalized image generation tasks.

**Primary intended users:**
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.