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import streamlit as st
from diffusers import StableDiffusionPipeline
import torch
from PIL import Image
# Load the stable diffusion model
@st.cache_resource
def load_model():
model_id = "runwayml/stable-diffusion-v1-5"
# Load the model
pipe = StableDiffusionPipeline.from_pretrained(model_id)
# Check if CUDA is available and use it, otherwise fall back to CPU
if torch.cuda.is_available():
pipe = pipe.to("cuda")
else:
pipe = pipe.to("cpu")
return pipe
pipe = load_model()
# Streamlit app title
st.title("Stable Diffusion Image Generator")
# User input for text prompt
prompt = st.text_input("Enter your image prompt:", "")
# Button to generate image
if st.button("Generate Image"):
if prompt:
# Generate the image
with st.spinner("Generating..."):
image = pipe(prompt).images[0]
st.image(image, caption=prompt, use_column_width=True)
# Save the image
image.save(f"{prompt[:50].replace(' ', '_')}.png")
st.success("Image generated successfully!")
else:
st.warning("Please enter a prompt to generate an image.")
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