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 →Fooocusは、lllyasviel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: lllyasviel/Fooocus）。GitHubスターは53,274、フォークは8,627で、GPL-3.0ライセンスの下で公開されています。GitHubでの最終更新は2025年12月1日です。
Focus on prompting and generating
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/lllyasviel/Fooocus.git
cd FooocusIsolate 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.txtGeneration does not have to stay at a desk. local-dream runs Stable Diffusion directly on Android phones — Snapdragon NPU acceleration included — so the whole pipeline fits in a pocket instead of a PC.
For 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 lllyasviel/Fooocus with 8,627 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
Official front-end implementation of ComfyUI
An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts an…
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
Modern AI image lab on Pollinations.ai — models, seeds, history, transparency
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 — Fooocus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
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
カタログの中でFooocus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。
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
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
High performance self-hosted photo and video management solution
AI-Powered Photos App 🌈💎✨
The node-graph powerhouse for precise, professional AI image and video generation.
Animated sprite editor & pixel art tool (Windows, macOS, Linux)