Running Stable Diffusion with Python
Stable Diffusion is a deep learning model that can generate pictures. In essence, it is a program in which you can provide input (such as a text prompt) and get back a tensor that represents an array of pixels, which, in turn, you can save as an image file. There’s no requirement that you must use a particular user interface. Before any user interface is available, you are supposed to run Stable Diffusion in code.
In this tutorial, we will see how you can use the diffusers library from Hugging Face to run Stable Diffusion.
After finishing this tutorial, you will learn
- How to install the
diffuserslibrary and its dependencies - How to create a pipeline in
diffusers - How