Imagen
SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
★ 2,9k estrellasAGPL-3.0
Ver la guía →aidea es un proyecto de imagen de código abierto de mylxsw (mylxsw/aidea en GitHub). Tiene 6.938 estrellas en GitHub y 1.042 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 4 de marzo 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
Los demás proyectos de Imagen con más estrellas del catálogo de LibreAI: la lista realista de alternativas si aidea no es lo que buscas.
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
Proyectos de Imagen cercanos en el catálogo, los más próximos en estrellas a aidea: sigue explorando a ambos lados.
SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing
Photo gallery for self-hosted personal servers
MMagic — OpenMMLab's generative-AI toolbox: diffusion, text-to-image, restoration and a model zoo.
Read-only mirror of https://gitlab.gnome.org/GNOME/gimp
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
ByteDance's open-source unified multimodal model for understanding, generation and image editing.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.