BrushNet
A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is BrushNet?
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.
Key differentiator
“BrushNet stands out for its unique decomposed dual-branch diffusion process, offering superior image inpainting quality compared to other models in the same category.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Official repository lacks detailed guides beyond basic usage scenarios
Processing times increase exponentially with image resolution above 4K
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
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
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with BrushNet
Step-by-step setup guide with code examples and common gotchas.