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ComfyUI-IG2MV

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Last updated
2025-05-09

This repository introduces a custom node package for ComfyUI that integrates the mvadapter_ig2mv_sdxl.safetensors adapter, which specializes in image-guided multi-view generation. It is specifically designed for generating textures from 3D mesh renders, utilizing position and normal maps as input.

  • Provides nodes to facilitate the use of the mvadapter_ig2mv_sdxl.safetensors adapter within ComfyUI.
  • Requires specific dependencies to function correctly, including ComfyUI-MVAdapter and ComfyUI-Hunyuan3DWrapper.
  • Enforces a strict limitation of six views for input images, ensuring consistent output quality.

Context

This tool enhances ComfyUI by enabling image-guided multi-view generation through the use of a specialized adapter. Its primary function is to produce high-quality textures from 3D models, utilizing position and normal maps to guide the generation process.

Key Features & Benefits

The package includes two main nodes: the Diffusers IG MV Model Makeup, which initializes the necessary diffusion pipeline and loads the adapter, and the Diffusers IG MV Sampler, which executes the sampling using the prepared data. These nodes streamline the workflow by automating the setup and ensuring that the adapter is properly integrated into the ComfyUI environment.

Advanced Functionalities

The tool is built around the mvadapter_ig2mv_sdxl.safetensors adapter, which is optimized for handling exactly six views. This specificity allows for a focused and controlled generation process, ensuring that users can create detailed and coherent textures based on precise input data.

Practical Benefits

By integrating this tool into ComfyUI, users can significantly improve their workflow efficiency when generating textures from 3D mesh renders. The structured approach to using position and normal maps provides enhanced control over the output quality, enabling artists to achieve better results in their projects.

Credits/Acknowledgments

The original authors of this tool and its dependencies are acknowledged, including contributors to the ComfyUI-MVAdapter and ComfyUI-Hunyuan3DWrapper packages. The repository is open source, allowing for community contributions and enhancements.