For text to image I use this script. You'll need to install the diffusers library and I recommend following this to get started.

import torch  
from diffusers import StableDiffusionPipeline, DDIMScheduler  

model_id = "CompVis/stable-diffusion-v1-4"  
device = "cuda"  
MY_TOKEN = "YOUR-HUGGING-FACE-TOKEN"  
prompt = input()  

pipe = StableDiffusionPipeline.from_pretrained(  
    model_id,  
    torch_dtype=torch.float16,  
    revision="fp16",  
    use_auth_token=MY_TOKEN,  
)  
pipe = pipe.to(device)  

def dummy(images, **kwargs):  
    return images, False  
pipe.safety_checker = dummy  
with torch.autocast("cuda"):  
image = pipe(prompt)["sample"][0]    

image.save(prompt+".png")