Изображения
SwarmUI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, a…
★ 4,6 тыс. звёздMIT
Смотреть руководство →Stable-Diffusion — проект с открытым исходным кодом из категории «Изображения» от FurkanGozukara (FurkanGozukara/Stable-Diffusion на GitHub). У него 2 772 звезды на GitHub и 371 форк, он распространяется по лицензии GPL-3.0 и последний раз обновлялся на GitHub 2 октября 2026.
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tut…
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.
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.
Edits stay reversible; originals are never touched.
Run whole folders through upscalers and converters unattended.
Download the source and move into the project folder.
git clone https://github.com/FurkanGozukara/Stable-Diffusion.git
cd Stable-DiffusionEvery 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 FurkanGozukara/Stable-Diffusion with 371 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.
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.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
A general fine-tuning kit geared toward image/video/audio diffusion models.
Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
Create LoRA training datasets in the browser — Flux 2, Qwen, Nano Banana
Другие проекты из категории «Изображения» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Stable-Diffusion 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 Stable-Diffusion — продолжайте изучать полку по обе стороны от него.
Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
InfiniteYou (InfU) — flexible photo recrafting on FLUX that preserves your identity (ICCV 2025 Highlight)
Kandinsky 2.2 — multilingual text-to-image latent diffusion with ControlNet, inpainting and image fusion
Generate clean 2D game sprites and animation atlases from one drawing — a Codex/Claude skill and Python CLI
A general fine-tuning kit geared toward image/video/audio diffusion models.
CUT — contrastive unpaired image-to-image translation in PyTorch, faster and lighter than CycleGAN (ECCV 2020)
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.