Изображения
StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
★ 8,9 тыс. звёздAGPL-3.0
Смотреть руководство →photoview — проект с открытым исходным кодом из категории «Изображения» от photoview (photoview/photoview на GitHub). У него 6 540 звёзд на GitHub и 491 форк, он распространяется по лицензии AGPL-3.0 и последний раз обновлялся на GitHub 1 октября 2026.
Photo gallery for self-hosted personal servers
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.
Ships with container support, so you can run it with a single compose file and predictable dependencies.
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/photoview/photoview.git
cd photoviewEvery 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 photoview/photoview with 491 forks. Check the repo's contributors and recent commits to see how active maintenance is.
AGPL-3.0 — free to use, including over a network, with source-sharing obligations.
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.
Multi-Platform Package Manager for Stable Diffusion
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
A powerful cross-platform raw photo processing program
A self-hosted open source photo management service
High performance self-hosted photo and video management solution
Open-source alternative to the popular AI photo editor — all local
Другие проекты из категории «Изображения» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если photoview 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 photoview — продолжайте изучать полку по обе стороны от него.
An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.
Read-only mirror of https://gitlab.gnome.org/GNOME/gimp
SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing
ByteDance's open-source unified multimodal model for understanding, generation and image editing.
MMagic — OpenMMLab's generative-AI toolbox: diffusion, text-to-image, restoration and a model zoo.
A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling…
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.