huanngzh/MV-Adapter
MV-Adapter is a plug-and-play adapter that adapts text-to-image models (SDXL, SD 2.1) into multi-view consistent image generators.

The repository provides the official implementation of MV-Adapter, a diffusion-model-based adapter that enables consistent multi-view image generation from text or single image inputs. It supports SDXL at 768 resolution and can work with LoRA customizations, LCM distilled models, and ControlNet extensions. The project includes training code, model weights on HuggingFace, and datasets (Objaverse-Ortho10View and Objaverse-Rand6View) for research purposes.