MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Paper
• 2404.05674 • Published
• 15
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.
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