How would I make a procedurally generated desktop background on Linux?
user
Here's a script to do so:
```
import numpy as np
from PIL import Image

def generate_background():
    # Generate a random array of RGB values
    rgb = np.random.randint(0, 256, size=(1080, 1920, 3), dtype=np.uint8)
    
    # Create an image from the array
    img = Image.fromarray(rgb)
    
    # Save the image to disk
    img.save("background.jpg")
    
    # Set the image as your desktop background
    # Replace "feh" with your preferred tool for setting the desktop background
    # on your Linux system
    !feh --bg-fill background.jpg

if __name__ == "__main__":
    generate_background()

```
assistant
This just generates random noise. 

Could you provide a procedural generation algorithm that will generate a mountain terrain with blue skies dotted with white, fluffy clouds?
user
Here is a program to generate images based on your custom prompt "a mountain terrain with blue skies dotted with white, fluffy clouds".

1) Install packages on your selected python interpreter
```
pip install diffusers==0.12.1 torch==1.13.1

```

2) Now we are ready to create a stable diffusion pipeline
```
import torch as T
from difusers import StableDiffusionPipeline as SDP

# define pipeline and prompt
prompt = "a mountain terrain with blue skies dotted with white, fluffy clouds"
pipeline = SDP.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=T.float16)
pipeline = pipeline.to("cuda")

```

3) use the instantiated pipeline object to generate an image and save it in the current directory
```
# generate and save image
image = pipeline(prompt).images[0]
image.save("./" + prompt + ".png")

```

This program uses runwayml/sable-diffusion-v1-5 from huggingface and is implemented in torch, if you want me to switch to different versions please let me know !
assistant