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✦ Free & open sourcePhotographers

ComfyUI-RMBG

Advanced ComfyUI background removal and segmentation custom node.

Advanced Segmentation for ComfyUI

Precision background removal and object segmentation using multiple state-of-the-art models.

Free forever · open source · GPL-3.0
✓ Light setup✓ Browser-based✓ Real-time collaboration
7.5
ZEKAI
Essential ComfyUI mask toolkit
Free & open source · Photographers
Ease of setup4
Usefulness9
Maintenance9.5
Community7.5
★ 2,162
GITHUB
Oct 2026
UPDATED
GPL-3.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

ComfyUI-RMBG is a specialized suite of custom nodes designed for complex image masking, background removal, and segmentation tasks directly inside ComfyUI. It suits photographers, compositors, and AI artists needing fine-grained control over subject isolation.

Runs on
Cross-platform
Hosting
Desktop
Languages
Python
License
GPL-3.0

What it is

The node pack integrates multiple heavy-duty segmentation models like RMBG-2.0, SAM3, BiRefNet, and GroundingDINO to handle complex tasks like fashion, hair, transparent objects, and text. It includes tools for image stitching, mask overlaying, resolution selection, and instant GPU VRAM release.

Who it's for

It suits experienced ComfyUI users and digital retouchers who require granular masking capabilities beyond standard tools. It does not suit beginners unfamiliar with node-based workflows or those without dedicated GPU hardware.

Key features

Multiple Segmentation Models

Integrates SAM3, BiRefNet, RMBG-2.0, and GroundingDINO for specialized masking tasks.

Instant VRAM Unloading

Includes a dedicated unload toggle on nodes to instantly release GPU memory after processing.

Specialized Fashion & Objects

Handles intricate isolation requirements like clothing, transparent objects, and text details.

Built-in Image Tools

Provides custom nodes for image comparison, stitching, masking, and resolution selection.

How to start

Up and running in 3 steps

1
Clone or install the ComfyUI-RMBG repository into your ComfyUI custom_nodes directory.
2
Download the required model weights specified by the repository for the models you intend to use.
3
Launch ComfyUI, load a workflow utilizing the new RMBG nodes, and connect your image inputs.
Real talk

Our honest verdict

What's great

  • Combines numerous leading segmentation models into a single ComfyUI interface
  • Includes dedicated VRAM unloading toggles to prevent out-of-memory crashes
  • Supports native Apple Silicon (MPS) GPU acceleration for macOS users
  • Features specialized BiRefNet fine-tunes for transparent objects and text

Where it falls short

  • Requires an existing working installation of ComfyUI to function
  • Downloading and running multiple heavy models like SAM3 and BiRefNet demands substantial VRAM
  • Steep learning curve due to the vast array of node parameters and model options
Cost

Pricing & license

The tool is entirely free to use under its open-source license. The only cost is running it yourself on local GPU hardware capable of handling deep learning segmentation models.

Paid work

Open remote AI-training roles

876 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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📄 Free PDF: ComfyUI-RMBG for Photographers
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Questions

FAQ

What ComfyUI version is required?

You should run a recent version of ComfyUI to ensure full compatibility with newer nodes and transformers dependencies.

Can I run this on Mac hardware?

Yes, the tool supports native Apple Silicon (MPS) GPU acceleration for macOS users.

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