D
diffusers
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
★34.3kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A deep-learning/diffusion tool in the Data & Infrastructure category, built with Python, open-source
Who made it?Maintained by huggingface team, 34.3K⭐ on GitHub, #48 out of 3133 in Data & Infrastructure
Why does it exist?In the Data & Infrastructure space, deep-learning workflows faced efficiency bottlenecks. diffusers was built by huggingface to address these diffusion challenges.
What can it do?Key use cases: flux, image-generation, image2image
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/huggingface/diffusers | 官网 https://huggingface.co/docs/diffusers
🔗 github.com/huggingface/diffusers | 官网 https://huggingface.co/docs/diffusers
Topics
deep-learningdiffusionfluximage-generationimage2imageimage2videolatent-diffusion-modelspytorchqwen-imagescore-based-generative-modelingstable-diffusionstable-diffusion-diffuserstext2imagetext2videovideo2video