app.py

import streamlit as st
from diffusers import DDPMScheduler, UNet2DModel
from PIL import Image
import torch
import numpy as np

import torch
from diffusers import StableDiffusionPipeline

pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = st.text_input('Insert here your prompt')

image = pipe(prompt).images[0]

st.image(image)