--- license: apache-2.0 pipeline_tag: text-to-image library_name: diffusion-single-file tags: - Image-to-Image --- # MV-Adapter Model Card
[**Project Page**](https://huanngzh.github.io/MV-Adapter-Page/) **|** [**Paper (ArXiv)**](https://arxiv.org/abs/2412.03632) **|** [**Paper (HF)**](https://hf.co/papers/2412.03632) **|** [**Code**](https://github.com/huanngzh/MV-Adapter) **|** [**Gradio demo**](https://huggingface.co/spaces/VAST-AI/MV-Adapter-I2MV-SDXL) Create High-fidelity Multi-view Images with Various Base T2I Models and Various Conditions.
## Introduction MV-Adapter is a creative productivity tool that seamlessly transfer text-to-image models to multi-view generators. Highlights: - 768x768 multi-view images - work well with personalized models (e.g. DreamShaper, Animagine), LCM, ControlNet - support text or image to multi-view (reconstruct 3D thereafter), or with geometry guidance for 3D texture generation - arbitrary view generation ## Examples ## Model Details | Model | Base Model | HF Weights | Demo Link | | :-------------------------: | :--------: | :------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------: | | Text-to-Multiview | SDXL | [mvadapter_t2mv_sdxl.safetensors](https://huggingface.co/huanngzh/mv-adapter/resolve/main/mvadapter_t2mv_sdxl.safetensors) | [General](https://huggingface.co/spaces/VAST-AI/MV-Adapter-T2MV-SDXL) / [Anime](https://huggingface.co/spaces/huanngzh/MV-Adapter-T2MV-Anime) | | Image-to-Multiview | SDXL | [mvadapter_i2mv_sdxl.safetensors](https://huggingface.co/huanngzh/mv-adapter/resolve/main/mvadapter_t2mv_sdxl.safetensors) | [Demo](https://huggingface.co/spaces/VAST-AI/MV-Adapter-I2MV-SDXL) | | Text-Geometry-to-Multiview | SDXL | | | | Image-Geometry-to-Multiview | SDXL | | | | Image-to-Arbitrary-Views | SDXL | | ## Usage Refer to our [Github repository](https://github.com/huanngzh/MV-Adapter). ## Citation If you find this work helpful, please consider citing our paper: ```bibtex @article{huang2024mvadapter, title={MV-Adapter: Multi-view Consistent Image Generation Made Easy}, author={Huang, Zehuan and Guo, Yuanchen and Wang, Haoran and Yi, Ran and Ma, Lizhuang and Cao, Yan-Pei and Sheng, Lu}, journal={arXiv preprint arXiv:2412.03632}, year={2024} } ```