stable_diffusion.py

import torch
from torch import autocast
from diffusers import StableDiffusionPipeline

model_id = "CompVis/stable-diffusion-v1-4"
device = "cuda"


pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
pipe = pipe.to(device)



prompt = " ".join([subject, setting, style])

with autocast("cuda"):
    image = pipe(prompt, guidance_scale=7.5)["sample"][0]  
    

image.save( prompt + ".png")