Stable-Diffusion
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tut…
stable-diffusion.cpp est un projet de image open source, créé par leejet (leejet/stable-diffusion.cpp sur GitHub). Il compte 7 514 étoiles sur GitHub et 849 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 27 septembre 2026.
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
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.
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.
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.
Download the source and move into the project folder.
git clone https://github.com/leejet/stable-diffusion.cpp.git
cd stable-diffusion.cppEvery 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 commandEfficiency matters even more on a phone than on a desktop. local-dream applies the same thinking to Android, running Stable Diffusion on Snapdragon NPUs alongside ordinary phone CPUs and GPUs.
It is an open-source project at leejet/stable-diffusion.cpp with 849 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.
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tut…
stable diffusion webui colab
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…
Black Forest Labs' official inference repo for the FLUX.1 image generation models
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Scriptable command-line image and animation generator for Stable Diffusion
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Run Stable Diffusion on Mac natively
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.