huggingface/diffusers
๐ค Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
โก Executive Summary & Quick Facts
Authoritative Sourcediffusers is diffusers is an open-source project written in Python: ๐ค Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch..
| Repository | huggingface/diffusers โ |
|---|---|
| Primary Category | deep learning |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | โ 34.8K stars ยท โ 7.4K forks ยท #420 globally |
| Maintenance | โ Active (Last commit: Oct 18, 2026) ยท 1,506 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
Star History
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+869
STARS ยท LAST 30 DAYS
29
PER DAY
#94
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +203 | +869 | +2.6K |
| Per day | 29 | 29 | 29 |
| Forks gained | +37 | +148 | +370 |
diffusers gained 869 stars in the last 30 days, about 29 a day, and now has 34.8K. It is about 4 years old and has averaged roughly 8.7K stars a year. It ranks #94 among Python repositories and #420 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#4890
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
diffusers has maintained a continuous presence across global trending indexes, peaking at #4890. Below is the 30-day activity profile:
๐ก Overview
diffusers is an open-source project written in Python: ๐ค Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Engineered for speed, consistency, and developer ease, it solves common hurdles in deep-learning, diffusion, flux. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
State-of-the-art diffusion pipelines that can be run in inference with just a few lines of code.
Interchangeable noise schedulers for different diffusion speeds and output quality.
Pretrained models that can be used as building blocks, and combined with schedulers, for creating your own end-to-end diffusion systems.
๐ฅ Installation
$ pip install --upgrade diffusers[torch]โ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
diffusers coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
๐ฏ Production Use Cases
Production System Integration
Embed diffusers into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
๐ Getting Started
Install diffusers using your package manager: `pip install --upgrade diffusers[torch]`
Initialize your project workspace or configuration file for diffusers.
Import diffusers into your codebase or invoke it directly from your terminal.
Execute your test suite or run `diffusers --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
huggingface/diffusers is currently ranked #420 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #415 | lissy93/web-check | TypeScript | โ 35K | Compare โ |
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| #418 | derailed/k9s | Go | โ 34.8K | Compare โ |
| #419 | binwiederhier/ntfy | Go | โ 34.8K | Compare โ |
| #420 | huggingface/diffusers This Project | Python | โ 34.8K | |
| #421 | yuliskov/SmartTube | Java | โ 34.6K | Compare โ |
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Frequently Asked Questions
What does diffusers do? +
๐ค Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
What language is diffusers written in? +
The primary language is Python. Topics include: deep-learning, diffusion, flux, image-generation, image2image.
Is diffusers actively maintained? +
Yes, the last recorded push was on Oct 18, 2026 with 1,506 open issues being tracked.
How many stars does diffusers have? +
diffusers has 34,753 stars and 7,403 forks on GitHub.
How does diffusers rank among GitHub repositories? +
With 34,753 stars, huggingface/diffusers is ranked #420 globally across all repositories tracked on GitHubRepo and #94 among Python projects.
What license is diffusers distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
