pydantic-ai
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Pixelorama — проект с открытым исходным кодом из категории «Изображения» от Orama-Interactive (Orama-Interactive/Pixelorama на GitHub). У него 10 453 звезды на GitHub и 553 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 2 октября 2026.
Unleash your creativity with Pixelorama, a powerful and accessible open-source pixel art multitool. Whether you want to create sprites, tiles, animations, or…
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/Orama-Interactive/Pixelorama.git
cd PixeloramaEvery 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 Orama-Interactive/Pixelorama with 553 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Mostly yes under MIT/Apache/GPL — but verify each license, especially for client deliverables.
Generation benefits hugely from one; upscalers and photo managers are far lighter.
For generation: a polished studio interface. For enhancement: a dedicated upscaler. For libraries: a photo manager.
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.
Run Stable Diffusion on Mac natively
Animated sprite editor & pixel art tool -- Fork of the last GPLv2 commit of Aseprite
Animated sprite editor & pixel art tool (Windows, macOS, Linux)
Generate clean 2D game sprites and animation atlases from one drawing — a Codex/Claude skill and Python CLI
Другие проекты из категории «Изображения» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Pixelorama 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 Pixelorama — продолжайте изучать полку по обе стороны от него.
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…
Multi-Platform Package Manager for Stable Diffusion
Krita is a free and open source cross-platform application that offers an end-to-end solution for creating digital art files from scratch built on the KDE an…
Animated sprite editor & pixel art tool -- Fork of the last GPLv2 commit of Aseprite
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
Stable Diffusion built-in to Blender
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.