File size: 2,617 Bytes
d4bf135 d13f989 d4bf135 865308b d4bf135 865308b d4bf135 865308b d4bf135 865308b d4bf135 865308b d4bf135 865308b d4bf135 865308b d4bf135 865308b d4bf135 865308b d4bf135 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
license: gpl-3.0
pipeline_tag: image-to-image
library_name: diffusers
base_model:
- stabilityai/stable-diffusion-2
---
# 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**.
---
## 🔍 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 — 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
---
## 📦 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**:
➡️ [ComfyUI-RMBG on GitHub](https://github.com/1038lab/ComfyUI-RMBG)
This custom node integrates SDMatte into ComfyUI workflows, enabling high-quality interactive matting inside a visual pipeline.
### 🔄 Latest Update
**Version:** `v2.9.0`
**Date:** `2025-08-18`
📄 [Read the update changelog](https://github.com/1038lab/ComfyUI-RMBG/blob/main/update.md#v290-20250818)
---
## 🙌 Credits and Attribution
### 📚 Original Work
- **Authors**: vivoCameraResearch Team
- **Model Repository**: [Hugging Face – LongfeiHuang/SDMatte](https://huggingface.co/LongfeiHuang/SDMatte)
- **Official Code**: [GitHub – vivoCameraResearch/SDMatte](https://github.com/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.
---
|