app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
pipe.to("cpu")

def generate_image(prompt):
    image = pipe(prompt, num_inference_steps=10).images[0]  
    return image

iface = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter a prompt"),
    outputs="image",
    title="AI Image Generator (CPU Version)",
    description="Type a description, and AI will generate an image.",
)

iface.launch()