Imagem
SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
★ 2,9 mil estrelasAGPL-3.0
Ver o guia →aidea é um projeto de imagem de código aberto de mylxsw (mylxsw/aidea no GitHub). Tem 6.938 estrelas no GitHub e 1.042 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 4 de março de 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.
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
Black Forest Labs' official inference repo for the FLUX.1 image generation models
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Claude Code skill for cinematic AI image, video and music prompts — 14+ platforms
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.