app.py

import streamlit as st
from diffusers import DiffusionPipeline
import time

# Load the DiffusionPipeline model
pipeline = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo")

# Function to generate and display the image
def generate_and_display_image(prompt):
    # Generate an image based on the prompt
    image = pipeline(prompt)
    # Display the generated image
    st.image(image, caption='Generated Image', use_column_width=True)

# Main app code
st.title('Real-time Image Generation App')

# User input for the prompt with a placeholder
prompt = st.text_input('Enter your prompt', value='', help='Enter your prompt here...')

# Initialize the image display
image_placeholder = st.empty()

# Continuously generate and display the image based on the prompt
while True:
    generate_and_display_image(prompt)
    # Sleep for a short duration to avoid excessive CPU usage
    time.sleep(1)