diffusers
A modular PyTorch library for state-of-the-art diffusion models to generate images, audio, and 3D molecular structures.
What is diffusers?
🤗 Diffusers is a PyTorch library that provides state-of-the-art pretrained diffusion models for generating images, audio, and 3D molecular structures. It solves the problem of accessing and using advanced generative AI models by offering a modular toolbox that supports both inference and custom training. The library simplifies working with diffusion models through high-level pipelines and interchangeable components.
Machine learning researchers, AI developers, and data scientists working on generative AI projects, particularly those focused on image, audio, or molecular structure generation using diffusion models.
Developers choose 🤗 Diffusers for its comprehensive collection of pretrained models, modular design that balances usability with customizability, and strong community support from Hugging Face. It stands out by offering both simple inference pipelines and low-level components for building custom systems.
Overview
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Use Cases
Best For
- Generating images from text prompts using Stable Diffusion and other models
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