Bild
stable-diffusion.cpp
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
★ 7,5 Tsd. SterneMIT
Anleitung ansehen →SimpleTuner ist ein Open-Source-Projekt aus der Kategorie Bild von bghira (bghira/SimpleTuner auf GitHub). Es hat 2.931 Sterne auf GitHub und 295 Forks, wird unter der Lizenz AGPL-3.0 veröffentlicht und wurde zuletzt am 1. Oktober 2026 auf GitHub aktualisiert.
A general fine-tuning kit geared toward image/video/audio 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.
Machine learning is baked into the core workflow, not bolted on.
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/bghira/SimpleTuner.git
cd SimpleTunerEvery 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 bghira/SimpleTuner with 295 forks. Check the repo's contributors and recent commits to see how active maintenance is.
AGPL-3.0 — free to use, including over a network, with source-sharing obligations.
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.
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion, Face-Fusion.
Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tut…
C# generative AI SDK — text, image, video and audio via ONNX
Die anderen Projekte der Kategorie Bild mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls SimpleTuner nicht das Richtige ist.
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
Verwandte Projekte der Kategorie Bild im Katalog, die SimpleTuner bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
MyPaint is a simple drawing and painting program that works well with Wacom-style graphics tablets.
Kandinsky 2.2 — multilingual text-to-image latent diffusion with ControlNet, inpainting and image fusion
The Swiss Army Knife of Offline AI. Chat, see, speak, and generate images on your phone or Mac — GGUF LLMs, vision, Whisper speech-to-text, Stable Diffusion,…
Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
OneTrainer is a one-stop solution for all your Diffusion training needs.
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tut…
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.