SDMatte - SafeTensors Models for Interactive Matting

This repository provides SafeTensors versions of the SDMatte models for interactive image matting, optimized for seamless use with ComfyUI.


πŸ” About SDMatte

SDMatte: Grafting Diffusion Models for Interactive Matting is a state-of-the-art model that leverages the power of diffusion priors to achieve high-precision matting β€” especially around fine details and complex edges.

✨ Key Features

  • Diffusion-Powered: Uses strong priors from diffusion models to extract high-fidelity details
  • Interactive Matting: Visual prompt-driven control for intuitive editing
  • Edge & Texture Focus: Excels in handling challenging edge regions and fine textures
  • Coordinate & Opacity Awareness: Improves matting accuracy with spatial and opacity context

πŸ“¦ Available Models

  • SDMatte.safetensors – Standard version for interactive matting
  • SDMatte_plus.safetensors – Enhanced version with improved performance

🧩 Built for ComfyUI: ComfyUI-RMBG

These models are designed for use with our ComfyUI custom node:
➑️ ComfyUI-RMBG on GitHub

This custom node integrates SDMatte into ComfyUI workflows, enabling high-quality interactive matting inside a visual pipeline.

πŸ”„ Latest Update

Version: v2.9.0
Date: 2025-08-18
πŸ“„ Read the update changelog


πŸ™Œ Credits and Attribution

πŸ“š Original Work

πŸ“ Abstract (from the original paper)

Recent interactive matting methods have shown satisfactory performance in capturing the primary regions of objects, but they fall short in extracting fine-grained details in edge regions. Diffusion models trained on billions of image-text pairs demonstrate exceptional capability in modeling highly complex data distributions and synthesizing realistic texture details, while exhibiting robust text-driven interaction capabilities β€” making them an attractive solution for interactive matting.


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