Изображения
pydantic-ai
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
★ 20,4 тыс. звёздMIT
Смотреть руководство →aseprite — проект с открытым исходным кодом из категории «Изображения» от aseprite (aseprite/aseprite на GitHub). У него 39 858 звёзд на GitHub и 9 165 форков, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 30 сентября 2026.
Animated sprite editor & pixel art tool (Windows, macOS, Linux)
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/aseprite/aseprite.git
cd asepriteEvery 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 aseprite/aseprite with 9,165 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Custom — check the repo for commercial-use terms.
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.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
Animated sprite editor & pixel art tool -- Fork of the last GPLv2 commit of Aseprite
Free, fast AI background remover for Windows, macOS, Linux and Android
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
Другие проекты из категории «Изображения» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если aseprite 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 aseprite — продолжайте изучать полку по обе стороны от него.
AI-Powered Photos App 🌈💎✨
Real-ESRGAN — practical blind super-resolution for real-world photos and video: restores and upscales degraded images with models trained on pure synthetic data, BSD-3-Clause
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Focus on prompting and generating
ControlNet — the original conditional control for diffusion models: steer Stable Diffusion with edges, depth, pose and scribbles instead of prompts alone, Apache-2.0
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.