Image
SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
★ 2,9 k étoilesAGPL-3.0
Voir le guide →aidea est un projet de image open source, créé par mylxsw (mylxsw/aidea sur GitHub). Il compte 6 938 étoiles sur GitHub et 1 042 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 4 mars 2026.
An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.
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/mylxsw/aidea.git
cd aideaEvery 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 mylxsw/aidea with 1,042 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
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.
A general fine-tuning kit geared toward image/video/audio diffusion models.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
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Black Forest Labs' official inference repo for the FLUX.1 image generation models
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Claude Code skill for cinematic AI image, video and music prompts — 14+ platforms
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.