app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load a smaller model if running on CPU
model_id = "CompVis/stable-diffusion-v1-4"
pipeline = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32)

device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline.to(device)

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

interface = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter your text prompt"),
    outputs=gr.Image(type="pil"),
    title="Text-to-Image Generator",
    description="Enter a prompt, and the AI will generate an image based on it."
)

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