Изображения
RawTherapee
A powerful cross-platform raw photo processing program
★ 4,2 тыс. звёздGPL-3.0
Смотреть руководство →lite.ai.toolkit — проект с открытым исходным кодом из категории «Изображения» от xlite-dev (xlite-dev/lite.ai.toolkit на GitHub). У него 4 439 звёзд на GitHub и 786 форков, он распространяется по лицензии GPL-3.0 и последний раз обновлялся на GitHub 5 сентября 2026.
A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion.
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.
Your images stay on your machine — important for client work and privacy.
The defining trait of this whole category: professional results without monthly fees.
Edits stay reversible; originals are never touched.
Run whole folders through upscalers and converters unattended.
Extensions, scripts, and community presets extend the popular studios far beyond stock.
Self-hosted managers with AI tagging, face recognition, and deduplication.
Download the source and move into the project folder.
git clone https://github.com/xlite-dev/lite.ai.toolkit.git
cd lite.ai.toolkitEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at xlite-dev/lite.ai.toolkit with 786 forks. Check the repo's contributors and recent commits to see how active maintenance is.
GPL-3.0 — free to use, but derivative works must stay open.
For generation: a polished studio interface. For enhancement: a dedicated upscaler. For libraries: a photo manager.
With the right open checkpoints, absolutely — the interface matters less than the model you load.
Mostly yes under MIT/Apache/GPL — but verify each license, especially for client deliverables.
A powerful cross-platform raw photo processing program
Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
Stable Diffusion with Core ML on Apple Silicon
ControlNet — the original conditional control for diffusion models: steer Stable Diffusion with edges, depth, pose and scribbles instead of prompts alone, Apache-2.0
The ultimate training toolkit for finetuning diffusion models
Kandinsky 2.2 — multilingual text-to-image latent diffusion with ControlNet, inpainting and image fusion
Другие проекты из категории «Изображения» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если lite.ai.toolkit вам не подходит.
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
Соседние проекты из категории «Изображения» в каталоге, ближайшие по числу звёзд к lite.ai.toolkit — продолжайте изучать полку по обе стороны от него.
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, a…
OmniGen: one unified model for text-to-image, editing, subject-driven and identity-preserving generation
AI 助手全套开源解决方案，自带运营管理后台，开箱即用。集成了 ChatGPT, Azure, ChatGLM,讯飞星火，文心一言等多个平台的大语言模型。支持 MJ AI 绘画，Stable Diffusion AI 绘画，微博热搜等插件工具。采用 Go + Vue3 + element-plus 实现。
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
A powerful cross-platform raw photo processing program
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.