File size: 834 Bytes
fd52036 01d622b fd52036 01d622b fd52036 9bdd071 210f411 01d622b fd52036 db6ccb7 fd52036 465f3d0 fd52036 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
---
inference: false
---
<br>
<br>
# 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
**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.
|