From 959ce5e38f35fa1940c2365fcb1fb2627cffcc42 Mon Sep 17 00:00:00 2001 From: AI Lab <129358391+1038lab@users.noreply.github.com> Date: Wed, 19 Feb 2025 22:12:50 +0800 Subject: [PATCH] Update README.md --- README.md | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 4703bb1..be22da3 100644 --- a/README.md +++ b/README.md @@ -114,6 +114,7 @@ install requirment.txt in the ComfyUI-RMBG folder - Manually download the GroundingDINO models by visiting the [link](https://huggingface.co/1038lab/GroundingDINO), then download the files and place them in the `/ComfyUI/models/grounding-dino` folder. - Manually download the Clothes Segment model by visiting the [link](https://huggingface.co/1038lab/segformer_clothes), then download the files and place them in the `/ComfyUI/models/RMBG/segformer_clothes` folder. - Manually download the Fashion Segment model by visiting the [link](https://huggingface.co/1038lab/segformer_fashion), then download the files and place them in the `/ComfyUI/models/RMBG/segformer_fashion` folder. +- Manually download BiRefNet models by visiting the [link](https://huggingface.co/1038lab/BiRefNet), then download the files and place them in the `/ComfyUI/models/RMBG/BiRefNet` folder. ## Usage ### RMBG Node @@ -207,7 +208,6 @@ SAM is a powerful model for object detection and segmentation, offering: - Precise edge detection and preservation - Excellent handling of fine details - Support for multiple objects in a single image - - Output Comparison - Output with background - Batch output for video @@ -221,6 +221,16 @@ GroundingDINO is a model for text-prompted object detection and segmentation, of - Output Comparison - Output with background - Batch output for video + +## BiRefNet Models +- BiRefNet-general purpose model (balanced performance) +- BiRefNet_512x512 model (optimized for 512x512 resolution) +- BiRefNet-portrait model (optimized for portrait/human matting) +- BiRefNet-matting model (general purpose matting) +- BiRefNet-HR model (high resolution up to 2560x2560) +- BiRefNet-HR-matting model (high resolution matting) +- BiRefNet_lite model (lightweight version for faster processing) +- BiRefNet_lite-2K model (lightweight version for 2K resolution) @@ -247,7 +257,7 @@ GroundingDINO is a model for text-prompted object detection and segmentation, of - GroundingDINO: https://github.com/IDEA-Research/GroundingDINO - Clothes Segment: https://huggingface.co/mattmdjaga/segformer_b2_clothes -- Created by: [1038 Lab](https://github.com/1038lab) +- Created by: [AILab](https://github.com/1038lab) ## License GPL-3.0 License