Stable Diffusion with 🧨 Diffusers

📰 Hugging Face Blog

Stable Diffusion is a text-to-image latent diffusion model that can be used with Hugging Face's Diffusers library

intermediate Published 22 Aug 2022

Action Steps

Install the Diffusers library
Load a pre-trained Stable Diffusion model
Use the model to generate images from text prompts
Fine-tune the model for specific use cases

Who Needs to Know This

Data scientists and AI engineers on a team can benefit from using Stable Diffusion with Diffusers to generate high-quality images from text prompts, and product managers can use this technology to develop innovative applications

Key Insight

💡 Stable Diffusion is a powerful text-to-image model that can be used with the Diffusers library to generate high-quality images

Key Takeaways

Stable Diffusion is a text-to-image latent diffusion model that can be used with Hugging Face's Diffusers library

Full Article

Published Time: 2022-08-22T00:00:00.121Z

# Stable Diffusion with 🧨 Diffusers

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# [](https://huggingface.co/blog/stable_diffusion#stable-diffusion-with-%F0%9F%A7%A8-diffusers) Stable Diffusion with 🧨 Diffusers

Published August 22, 2022

[Update on GitHub](https://github.com/huggingface/blog/blob/main/stable_diffusion.md)

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* [Running Stable Diffusion](https://huggingface.co/blog/stable_diffusion#running-stable-diffusion "Running Stable Diffusion")
* [License](https://huggingface.co/blog/stable_diffusion#license "License")

* [Usage](https://huggingface.co/blog/stable_diffusion#usage "Usage")

* [How does Stable Diffusion work?](https://huggingface.co/blog/stable_diffusion#how-does-stable-diffusion-work "How does Stable Diffusion work?")

* [Writing your own inference pipeline](https://huggingface.co/blog/stable_diffusion#writing-your-own-inference-pipeline "Writing your own inference pipeline")
* [Citation:](https://huggingface.co/blog/stable_diffusion#citation "Citation:")

**Stable Diffusion** 🎨 _...using 🧨 Diffusers_
Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from [CompVis](https://github.com/CompVis

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