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OneTrainer
OneTrainer is a one-stop solution for all your Diffusion training needs.
★ 3.2k スターAGPL-3.0
ガイドを見る →diffusersは、huggingfaceが公開しているオープンソースの画像プロジェクトです（GitHub: huggingface/diffusers）。GitHubスターは34,644、フォークは7,367で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月2日です。
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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.
Neural models do the heavy lifting behind a simple interface.
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/huggingface/diffusers.git
cd diffusersEvery 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 commandThe library also carries modern descendants of a classic: InstructPix2Pix builds on pix2pix, the original paired image-to-image translation model, whose PyTorch implementation — together with CycleGAN — remains the reference codebase for the field.
It is an open-source project at huggingface/diffusers with 7,367 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
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.
Generation benefits hugely from one; upscalers and photo managers are far lighter.
OneTrainer is a one-stop solution for all your Diffusion training needs.
Multi functional app to find duplicates, empty folders, similar images etc.
kohya_ss — open-source image project on GitHub.
A general fine-tuning kit geared toward image/video/audio diffusion models.
Black Forest Labs' official inference repo for the FLUX.1 image generation models
Run LLMs plus image, video and music generation locally on your phone
LibreAIカタログに掲載された画像プロジェクトの中で最もスターの多いもの — diffusersが合わなかった場合に検討したい、現実的な候補リストです。
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
カタログの中でdiffusersとスター数が近い画像プロジェクト — 前後の棚もそのまま見て回れます。
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
ControlNet — the original conditional control for diffusion models: steer Stable Diffusion with edges, depth, pose and scribbles instead of prompts alone, Apache-2.0
Animated sprite editor & pixel art tool (Windows, macOS, Linux)
Multi functional app to find duplicates, empty folders, similar images etc.
AI-Powered Photos App 🌈💎✨
State-of-the-art 2D and 3D Face Analysis Project