# app.py

import streamlit as st
from diffusers import StableDiffusionPipeline
import torch
from PIL import Image
import io

@st.cache_resource
def load_model():
    # Force CPU-only execution
    pipe = StableDiffusionPipeline.from_pretrained(
        "runwayml/stable-diffusion-v1-5"
    )
    pipe.to("cpu")
    return pipe

st.title("🧠 AI Image Generator (CPU Only)")

prompt = st.text_input("Enter your prompt:", 
                       "A surreal multi-dimensional fractal landscape in vivid colors")

guidance = st.slider("Guidance scale (higher = more creative)", 1.0, 20.0, 7.5)

if st.button("Generate"):
    with st.spinner("Generating on CPU... please wait 2–5 minutes."):
        pipe = load_model()
        image = pipe(prompt, guidance_scale=guidance).images[0]
        st.image(image, caption="Generated Image", use_column_width=True)

        buf = io.BytesIO()
        image.save(buf, format="PNG")
        st.download_button("Download Image", buf.getvalue(), "generated.png", "image/png")