Image Fusion Processor
Accepts local face and ID images for fusion via a ComfyUI server, saving the merged results locally.
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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.
Características Principales
- Acts as an MCP server for interaction with MCP clients
- 1 GitHub stars
- Performs face and ID image fusion using ComfyUI
- Integrates with ComfyUI via specified plugins and models
- Saves fused image results locally
- Configurable affine transformation for precise target area mapping
Casos de Uso
- Automating the process of combining face and identification document images.
- Integrating advanced ComfyUI-based image manipulation into custom applications or workflows.
- Generating composite images for various personal or professional purposes requiring face-to-background blending.
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