Running Stable Diffusion in the cloud
To start, let’s quickly set up our own instance of the Stable Diffusion model in Python code and run an example. For this purpose, we’ll be using Google Colab (https://colab.research.google.com/), a cloud environment that allows you to utilize high-performance Graphics Processing Unit (GPU) computing and large memory resources from your laptop. Colab is free, but you can also pay for higher-availability resources if you desire. The interface resembles the Python Jupyter notebooks (https://jupyter.org/) that you’ve likely used in the past.
Installing dependencies and running an example
Once you’ve set up your Colab account, you just need to install the diffusers package and a few dependencies. Diffusers is a library created by the company Hugging Face (https://huggingface.co/docs/diffusers/index) that provides easy access to a set of state-of-the-art diffusion models (including Stable Diffusion). It utilizes...
