Image & Design

BrushNet

A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

Status
UnmaintainedNo commits in 617 days.
Last checked
Checked · Oct 14, 2026
License
Open source
Pricing
Free tier · from $0

What it is

BrushNet is an advanced image inpainting model that uses a decomposed dual-branch diffusion process to fill in missing parts of images seamlessly. It offers high-quality results and can be easily integrated into various applications for enhancing image editing capabilities.

BrushNet stands out for its unique decomposed dual-branch diffusion process, offering superior image inpainting quality compared to other models in the same category.

When it fits — and when it doesn’t

A good fit for

  • Developers working on image restoration projects who need high-quality inpainting results

  • Design teams looking to automate and enhance their photo editing workflows with advanced AI tools

Look elsewhere if

  • Projects requiring real-time processing of large volumes of images due to computational demands

  • Applications that require minimal setup time, as BrushNet requires self-hosting and integration effort

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation and examples for complex use cases

    Official repository lacks detailed guides beyond basic usage scenarios

  2. 02

    Performance degradation with high-resolution images

    Processing times increase exponentially with image resolution above 4K

What it does well

  • Decomposed Dual-Branch Diffusion for high-quality inpainting

  • Plug-and-play model for easy integration into applications

  • Highly customizable parameters for different use cases

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up BrushNet

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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BrushNet — tracked on AI Navigator

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