Image
OneTrainer
OneTrainer is a one-stop solution for all your Diffusion training needs.
★ 3.2k starsAGPL-3.0
View guide →// image · huggingface/diffusers
diffusers
diffusers is an open-source image project by huggingface (huggingface/diffusers on GitHub). It has 34,644 GitHub stars and 7,367 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
★ 34.6k stars⑂ 7.4k forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- huggingface/diffusers
- GitHub stars
- 34,644
- Forks
- 7,367
- License
- Apache-2.0
- Last updated on GitHub
- 2 October 2026
- Category
- Image
- Listing
- Full install guide
- Official site
- Official site
// how it works
How it works
- Choose the right tool
Generation studio, upscaler, background remover, or photo library — match the tool to the task.
- Install it your way
Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.
- Add models if needed
Generation tools need checkpoint files; utilities like upscalers usually bundle everything.
- Create or organize
Generate, enhance, or import — then export, share, or keep building your library.
// features
Why people love it
Deep learning inside
Neural models do the heavy lifting behind a simple interface.
No subscriptions
The defining trait of this whole category: professional results without monthly fees.
Non-destructive
Edits stay reversible; originals are never touched.
Batch processing
Run whole folders through upscalers and converters unattended.
Extensible ecosystems
Extensions, scripts, and community presets extend the popular studios far beyond stock.
Smart photo libraries
Self-hosted managers with AI tagging, face recognition, and deduplication.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/huggingface/diffusers.git cd diffusers - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Generate concept art and illustrations.
- Upscale and restore old photos.
- Remove backgrounds in bulk for product shots.
- Self-host a Google-Photos-style library.
The 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.
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// faq
Questions, answered
Who maintains diffusers?
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.
Is diffusers free for commercial use?
Apache 2.0 licensed — commercial use allowed with attribution.
Can they match Midjourney quality?
With the right open checkpoints, absolutely — the interface matters less than the model you load.
Are they free for commercial work?
Mostly yes under MIT/Apache/GPL — but verify each license, especially for client deliverables.
Do I need a powerful GPU?
Generation benefits hugely from one; upscalers and photo managers are far lighter.
// keep exploring
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View guide →// alternatives
Alternatives in Image
The most-starred other Image projects in the LibreAI catalogue — the realistic shortlist if diffusers is not the right fit.
- Stable Diffusion Webui★ 165.2k
Stable Diffusion web UI
- ComfyUI★ 136.0k
The node-graph powerhouse for precise, professional AI image and video generation.
- Immich★ 115.5k
High performance self-hosted photo and video management solution
- PhotoCraft★ 73.2k
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
- Fooocus★ 53.3k
Focus on prompting and generating
// more in image
More in Image
Nearby Image projects in the catalogue, closest in stars to diffusers — keep exploring the shelf either side of it.
- Real-ESRGAN★ 37.1k
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★ 34.1k
ControlNet — the original conditional control for diffusion models: steer Stable Diffusion with edges, depth, pose and scribbles instead of prompts alone, Apache-2.0
- aseprite★ 39.9k
Animated sprite editor & pixel art tool (Windows, macOS, Linux)
- czkawka★ 33.9k
Multi functional app to find duplicates, empty folders, similar images etc.
- PhotoPrism★ 40.3k
AI-Powered Photos App 🌈💎✨
- Insightface★ 29.9k
State-of-the-art 2D and 3D Face Analysis Project
Get diffusers
Free and open — grab the source, star the repo, and start creating.