Running a Stable Diffusion pipeline

Now that you have installed all the dependencies, it is time to run a Stable Diffusion pipeline to test whether the environment is correctly set up. You can use any Python editing tool, such as VS Code or Jupyter Notebook, to edit and execute Python code. Follow these steps:

1. Install the packages for Hugging Face Diffusers:

   pip install diffusers

   pip install transformers scipy ftfy accelerate

2. Start a Stable Diffusion pipeline:

   import torch

   from diffusers import StableDiffusionPipeline

   pipe = StableDiffusionPipeline.from_pretrained(

       "runwayml/stable-diffusion-v1-5",

       torch_dtype=torch.float16)

   pipe.to("cuda") # mps for mac

   If you are using a Mac, change cuda to mps. Even though macOS is supported and can generate images using the Diffusers package, its performance is relatively slow. As a comparison, an NVIDIA RTX 3090 can achieve about 20 iterations per second to generate one 512x512...