app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load the pre-trained model from Hugging Face
model_name = "CompVis/stable-diffusion-v1-4"
pipe = StableDiffusionPipeline.from_pretrained(model_name, torch_dtype=torch.float16).to("cuda")

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

# Gradio interface
iface = gr.Interface(
    fn=generate_image,
    inputs="text",
    outputs="image",
    title="Image Generation with Stable Diffusion",
    description="Generate images from text prompts using Stable Diffusion."
)

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