mvadapter

biali/mvadapter

mvadapter is a text-to-image model from biali. Use it when you need an image from a text prompt. It is set up for diffusion-single-file. The card lists the license as apache-2.0.

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Hugging Face

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At a glance

Task: Text-to-Image
Library: diffusion-single-file
License: apache-2.0
Access: Public
Created: Jul 18, 2026
Updated: Jul 18, 2026
SHA: 29e6a2cf

Model card

From the Hugging Face model README

MV-Adapter Model Card

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

Create High-fidelity Multi-view Images with Various Base T2I Models and Various Conditions.

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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	SD2.1	mvadapter_t2mv_sd21.safetensors
Text-to-Multiview	SDXL	mvadapter_t2mv_sdxl.safetensors	General / Anime
Image-to-Multiview	SD2.1	mvadapter_i2mv_sd21.safetensors
Image-to-Multiview	SDXL	mvadapter_i2mv_sdxl.safetensors	Demo
Text-Geometry-to-Multiview	SDXL	mvadapter_tg2mv_sdxl.safetensors
Image-Geometry-to-Multiview	SDXL	mvadapter_ig2mv_sdxl.safetensors
Image-to-Arbitrary-Views	SDXL

Usage

Refer to our Github repository.

Citation

If you find this work helpful, please consider citing our paper:

@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}
}

Task: Text-to-Image
Library: diffusion-single-file
License: apache-2.0
Created: Jul 18, 2026
Updated: Jul 18, 2026