huggingface/diffusers
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
45/100Image
Stars33,669
Forks6,990
LanguagePython
LicenseApache-2.0
Overview
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Best for
- Evaluating diffusers for Python AI workflows.
- Comparing a GitHub project with 33,669 stars and current repository activity.
Pros
- diffusers has visible GitHub traction with 33,669 stars. Topics: deep-learning, diffusion, flux.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
diffusers should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
Install
pip install --upgrade diffusers[torch]conda install -c conda-forge diffuserspipconda