画像
Insightface
State-of-the-art 2D and 3D Face Analysis Project
★ 29.9k スターCustom (check repo)
ガイドを見る →BiRefNetは、ZhengPeng7が公開しているオープンソースの画像プロジェクトです（GitHub: ZhengPeng7/BiRefNet）。GitHubスターは4,245、フォークは336で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年9月2日です。
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
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.
LibreAIカタログに掲載された画像プロジェクトの中で最もスターの多いもの — BiRefNetが合わなかった場合に検討したい、現実的な候補リストです。
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
PhotoCraft — a clean-room Photoshop reimplementation in pure Rust: layers, masks, adjustment layers, type, vectors, brushes and real PSD files, offline, MIT / Apache-2.0
Focus on prompting and generating
カタログの中でBiRefNetとスター数が近い画像プロジェクト — 前後の棚もそのまま見て回れます。
OmniGen: one unified model for text-to-image, editing, subject-driven and identity-preserving generation
A powerful cross-platform raw photo processing program
A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion.
Simple GTK Paint Program
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, a…
Run Stable Diffusion on Android Devices with Snapdragon NPU acceleration. Also supports CPU/GPU inference.