SDMatte - SafeTensors Models for Interactive Matting

🔍 About SDMatte

✨ 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

📦 Available Models

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

🧩 Built for ComfyUI: ComfyUI-RMBG

🔄 Latest Update

🙌 Credits and Attribution

📚 Original Work

• Authors: vivoCameraResearch Team
• Model Repository: Hugging Face – LongfeiHuang/SDMatte
• Official Code: GitHub – vivoCameraResearch/SDMatte
• Paper: SDMatte: Grafting Diffusion Models for Interactive Matting

📝 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 — making them an attractive solution for interactive matting.