Изображения
sygil-webui
Stable Diffusion web UI
★ 7,9 тыс. звёздAGPL-3.0
Смотреть руководство →pydantic-ai — проект с открытым исходным кодом из категории «Изображения» от pydantic (pydantic/pydantic-ai на GitHub). У него 20 391 звезда на GitHub и 2 854 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 3 октября 2026.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
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.
Large language models drive its smartest features, locally or via API.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Single-job tools (upscale, de-background, restore) that do one thing excellently.
Bring any compatible open checkpoint; you are never locked to one vendor's style.
Your images stay on your machine — important for client work and privacy.
The defining trait of this whole category: professional results without monthly fees.
Download the source and move into the project folder.
git clone https://github.com/pydantic/pydantic-ai.git
cd pydantic-aiEvery 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 pydantic/pydantic-ai with 2,854 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
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.
Stable Diffusion web UI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, a…
MyPaint is a simple drawing and painting program that works well with Wacom-style graphics tablets.
Tencent's HunyuanImage-3.0 — a powerful native multimodal model for image generation.
ByteDance's open-source unified multimodal model for understanding, generation and image editing.
OmniGen: one unified model for text-to-image, editing, subject-driven and identity-preserving generation
Другие проекты из категории «Изображения» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если pydantic-ai 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 pydantic-ai — продолжайте изучать полку по обе стороны от него.
Rembg is a tool to remove images background
SAM 2 — Meta's Segment Anything Model 2: promptable segmentation for images and video, Apache-2.0
The classic PyTorch implementation of CycleGAN and pix2pix for image-to-image translation
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Make images smaller using best-in-class codecs, right in the browser.
Stable Diffusion with Core ML on Apple Silicon
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.