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huanngzh/mv-adapter

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

MV-Adapter Model Card

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**Project Page** | **Paper (ArXiv)** | **Paper (HF)** | **Code** | **Gradio demo**

Create High-fidelity Multi-view Images with Various Base T2I Models and Various Conditions. </div>

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

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6375d136dee28348a9c63cbf/P7ywma2xFX-_SfEj1cJmY.mp4"></video>

Model Details

ModelBase ModelHF WeightsDemo Link
Text-to-MultiviewSD2.1mvadapter_t2mv_sd21.safetensors
Text-to-MultiviewSDXLmvadapter_t2mv_sdxl.safetensorsGeneral / Anime
Image-to-MultiviewSD2.1mvadapter_i2mv_sd21.safetensors
Image-to-MultiviewSDXLmvadapter_i2mv_sdxl.safetensorsDemo
Text-Geometry-to-MultiviewSDXLmvadapter_tg2mv_sdxl.safetensors
Image-Geometry-to-MultiviewSDXLmvadapter_ig2mv_sdxl.safetensors
Image-to-Arbitrary-ViewsSDXL

Usage

Refer to our Github repository.

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}
}