Image
Insightface
State-of-the-art 2D and 3D Face Analysis Project
★ 29.9k starsCustom (check repo)
View guide →[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
BiRefNet is an open-source image project by ZhengPeng7 (ZhengPeng7/BiRefNet on GitHub). It has 4,245 GitHub stars and 336 forks, is released under the MIT license, and was last updated on GitHub on 2 September 2026.
Generation studio, upscaler, background remover, or photo library — match the tool to the task.
Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.
Generation tools need checkpoint files; utilities like upscalers usually bundle everything.
Generate, enhance, or import — then export, share, or keep building your library.
The defining trait of this whole category: professional results without monthly fees.
Your images stay on your machine — important for client work and privacy.
Bring any compatible open checkpoint; you are never locked to one vendor's style.
Single-job tools (upscale, de-background, restore) that do one thing excellently.
Self-hosted managers with AI tagging, face recognition, and deduplication.
Extensions, scripts, and community presets extend the popular studios far beyond stock.
Download the source and move into the project folder.
git clone https://github.com/ZhengPeng7/BiRefNet.git
cd BiRefNetIsolate dependencies so nothing clashes with your other projects.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activateInstall the requirements, then follow the README's launch command (it varies per project).
pip install -r requirements.txtFor generation: a polished studio interface. For enhancement: a dedicated upscaler. For libraries: a photo manager. The guides above narrow it down.
Generation benefits hugely from one; upscalers and photo managers are far lighter.
It is an open-source project at ZhengPeng7/BiRefNet with 336 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Mostly yes under MIT/Apache/GPL — but verify each license, especially for client deliverables.
With the right open checkpoints, absolutely — the interface matters less than the model you load.
Community hubs like CivitAI and Hugging Face host thousands of open checkpoints.
State-of-the-art 2D and 3D Face Analysis Project
Stable Diffusion web UI
Focus on prompting and generating
Point-and-click AI background removal with Segment Anything and BiRefNet
High-performance Nano Banana image platform — Gemini power, up to 4K
ByteDance's open-source unified multimodal model for understanding, generation and image editing.
The most-starred other Image projects in the LibreAI catalogue — the realistic shortlist if BiRefNet is not the right fit.
Stable Diffusion web UI
The node-graph powerhouse for precise, professional AI image and video generation.
High performance self-hosted photo and video management solution
Focus on prompting and generating
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
Free and open — grab the source, star the repo, and start creating.