Introduction to ComfyUI-3D-Pack
ComfyUI-3D-Pack is an advanced toolset designed to enhance the creation of 3D assets using ComfyUI, making the process as seamless as generating images or videos. This suite is packed with cutting-edge algorithms and models that allow ComfyUI to handle 3D inputs such as mesh and UV textures efficiently. It supports well-known technologies like 3D Gaussian Splatting (3DGS) and NeRF, alongside powerful models including InstantMesh, CRM, and TripoSR.
Installation
Installing ComfyUI-3D-Pack is straightforward. It is available through the ComfyUI-Manager, which facilitates easy installation based on your system setup. Pre-builds are provided for various operating systems such as Windows 10/11 and Ubuntu 22.04. Users must also have configurations like Python 3.10-3.12 and CUDA 11.8 or 12.1 along with Torch 2.3.0 or later. If automatic download and installation do not suffice, a semi-automatic build guide is available. Docker installation is also supported, and additional setup may be required for certain features.
Key Features
ComfyUI-3D-Pack is rich with features that extend the possibilities of 3D asset generation:
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StableFast3D: Converts a single image into a 3D mesh with RGB textures, requiring user agreement to Stability-AI's terms.
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CharacterGen: Produces single front-view characters with arbitrary poses, and it can be refined using the Unique3D workflow.
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Unique3D: This comprehensive process involves stages that transform images into high-resolution multi-view images and finally into 3D meshes with textures.
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Era3D MVDiffusion Model: Converts a single image into six 512x512 multi-view images and normal maps, needing substantial VRAM to run.
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InstantMesh: Turns sparse multi-view images with plain backgrounds into 3D meshes with textures and works effectively with different MVDiffusion models.
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Zero123++ and TripoSR: These models generate multi-view images from single images swiftly and render them into 3D representations.
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Wonder3D: Produces spatially consistent multi-view images and normal maps from a single image.
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Advanced Rendering and Export Options: It includes features for flexible camera positioning, 3DGS and 3D mesh visualization within ComfyUI, and exporting to various 3D file formats.
Roadmap
ComfyUI-3D-Pack is set to evolve with improvements in algorithms for converting 3DGS and NeRF to mesh, incorporating the best Multi-View Stereo (MVS) algorithms, and enhancing camera pose estimation from raw images.
Development and Contribution
Interested developers can contribute by forking the project, making improvements, and submitting them to the dev branch. The project is well-organized, with a clear structure for code and configuration management, facilitating straightforward integration of new features.
Tips
The project includes tips and references for understanding 3D world and camera coordinate systems, which can be crucial when working with 3D assets and transformations in rendering environments like OpenGL (Three.js, Blender).
In summary, ComfyUI-3D-Pack is a powerful and versatile toolset that significantly broadens the capabilities of ComfyUI in 3D asset generation. Its ease of installation, comprehensive features, and roadmap for ongoing improvements make it a promising choice for developers and artists engaged in creating 3D content.