Image
MochiDiffusion
Run Stable Diffusion on Mac natively
★ 8,0 k étoilesGPL-3.0
Voir le guide →ai-toolkit est un projet de image open source, créé par ostris (ostris/ai-toolkit sur GitHub). Il compte 12 191 étoiles sur GitHub et 1 548 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 27 septembre 2026.
The ultimate training toolkit for finetuning diffusion models
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.
Self-hosted managers with AI tagging, face recognition, and deduplication.
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.
Download the source and move into the project folder.
git clone https://github.com/ostris/ai-toolkit.git
cd ai-toolkitEvery 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 ostris/ai-toolkit with 1,548 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
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.
With the right open checkpoints, absolutely — the interface matters less than the model you load.
Run Stable Diffusion on Mac natively
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
OneTrainer is a one-stop solution for all your Diffusion training needs.
A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion.
ControlNet — the original conditional control for diffusion models: steer Stable Diffusion with edges, depth, pose and scribbles instead of prompts alone, Apache-2.0
A general fine-tuning kit geared toward image/video/audio diffusion models.
Les autres projets de la catégorie Image avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si ai-toolkit ne vous convient pas.
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
Projets de la catégorie Image proches dans le catalogue, les plus proches en étoiles de ai-toolkit — continuez à explorer de part et d'autre.
kohya_ss — open-source image project on GitHub.
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
darktable is an open source photography workflow application and raw developer
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…
🍌 World's largest Nano Banana Pro prompt library — 10,000+ curated prompts with preview images, 16 languages. Google Gemini AI image generation. Free & open …
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…
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.