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MrForExample/ComfyUI-3D-Pack

An extensive node suite that integrates advanced 3D input processing and asset generation into ComfyUI using cutting-edge AI algorithms and models.

Core Features

Enables 3D input processing (Mesh & UV Texture) within ComfyUI workflows.

Utilizes advanced algorithms like 3DGS and NeRF for 3D generation.

Integrates powerful models such as PartCrafter and Hunyuan3D_2.1.

Supports single image to 3D mesh generation with part segmentation.

Facilitates scene image to multiple 3D part meshes generation.

Quick Start

git clone https://github.com/MrForExample/ComfyUI-3D-Pack.git && cd ComfyUI-3D-Pack && python install.py

Detailed Introduction

ComfyUI-3D-Pack is a comprehensive node suite designed to significantly enhance ComfyUI's capabilities for 3D asset creation. It empowers users to process diverse 3D inputs, including meshes and UV textures, by leveraging state-of-the-art AI algorithms like 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF). The suite integrates powerful pre-trained models such as PartCrafter and Hunyuan3D, enabling functionalities from single-image 3D mesh reconstruction with part segmentation to complex scene generation. This project aims to streamline and democratize 3D asset generation within the ComfyUI ecosystem, making it as accessible and efficient as image and video synthesis.