Accepts local face and ID images for fusion via a ComfyUI server, saving the merged results locally.
Sponsored
This Python-based MCP server facilitates automated face and ID image fusion by acting as an intermediary between client applications and a powerful ComfyUI backend. Users can submit local face and ID photos, which the server then dispatches to a pre-configured ComfyUI instance (requiring specific plugins like APersonMaskGenerator and models such as flux-fill) for the complex fusion process. The final, merged images are then saved directly to a specified local directory, streamlining workflows for identity verification, content creation, or similar applications.
Key Features
01Acts as an MCP server for interaction with MCP clients
021 GitHub stars
03Performs face and ID image fusion using ComfyUI
04Integrates with ComfyUI via specified plugins and models
05Saves fused image results locally
06Configurable affine transformation for precise target area mapping
Use Cases
01Automating the process of combining face and identification document images.
02Integrating advanced ComfyUI-based image manipulation into custom applications or workflows.
03Generating composite images for various personal or professional purposes requiring face-to-background blending.
