Imagen
OneTrainer
OneTrainer is a one-stop solution for all your Diffusion training needs.
★ 3,2k estrellasAGPL-3.0
Ver la guía →diffusers es un proyecto de imagen de código abierto de huggingface (huggingface/diffusers en GitHub). Tiene 34.644 estrellas en GitHub y 7.367 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 2 de octubre de 2026.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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.
Neural models do the heavy lifting behind a simple interface.
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.
Extensions, scripts, and community presets extend the popular studios far beyond stock.
Self-hosted managers with AI tagging, face recognition, and deduplication.
Download the source and move into the project folder.
git clone https://github.com/huggingface/diffusers.git
cd diffusersEvery 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 commandThe library also carries modern descendants of a classic: InstructPix2Pix builds on pix2pix, the original paired image-to-image translation model, whose PyTorch implementation — together with CycleGAN — remains the reference codebase for the field.
It is an open-source project at huggingface/diffusers with 7,367 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
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.
Generation benefits hugely from one; upscalers and photo managers are far lighter.
OneTrainer is a one-stop solution for all your Diffusion training needs.
Multi functional app to find duplicates, empty folders, similar images etc.
kohya_ss — open-source image project on GitHub.
A general fine-tuning kit geared toward image/video/audio diffusion models.
Black Forest Labs' official inference repo for the FLUX.1 image generation models
Run LLMs plus image, video and music generation locally on your phone
Los demás proyectos de Imagen con más estrellas del catálogo de LibreAI: la lista realista de alternativas si diffusers 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 diffusers: sigue explorando a ambos lados.
Real-ESRGAN — practical blind super-resolution for real-world photos and video: restores and upscales degraded images with models trained on pure synthetic data, BSD-3-Clause
ControlNet — the original conditional control for diffusion models: steer Stable Diffusion with edges, depth, pose and scribbles instead of prompts alone, Apache-2.0
Animated sprite editor & pixel art tool (Windows, macOS, Linux)
Multi functional app to find duplicates, empty folders, similar images etc.
AI-Powered Photos App 🌈💎✨
State-of-the-art 2D and 3D Face Analysis Project
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.