gradio_interface.py

import torch
from diffusers import StableDiffusionPipeline
import gradio as gr

model_id = "CompVis/stable-diffusion-v1-4"
pipe = StableDiffusionPipeline.from_pretrained(model_id)
pipe = pipe.to("cpu")  # Use CPU instead of CUDA

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

demo = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Text Prompt"),
    outputs="image",
    title="AI Image Generator",
    description="Generate images from text prompts using Stable Diffusion."
)

if __name__ == "__main__":
    demo.launch()