Diffusers
Developed by Hugging Face, this library offers pre-trained diffusion models for image, sound, and molecular 3D structure production. The library, which has a modular structure; includes ready pipeline for inference operations, noise timers that offer different speed and quality options, and customizable model components. With its PyTorch-based infrastructure, it allows for both rapid inference and the ability to create your own diffusion systems.
DI
Diffusers
100huggingface · AI / LLM / RAG
STARS34.8K
FORKS7.4K
COMMITS—
CONTRIBUTORS1.1K
VERSIONv0.9.0
UPDATEDyesterday
Diffusionstable-diffusionimage-generationpytorchApache-2.0
Common commercial products in this category: ChatGPT, Claude, Gemini
What can it do?
- Using pre-trained models, you generate images or audio data from text inputs.
- By combining different noise timers and model components, you design your own diffusion systems.
- With the modular toolbox offered by the library, you manage the training and inference processes on diffusion models.
Heads up
- • High number of open issues (1,536)
Verified against README · Oct 26, 2026 · source
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