app.py

import torch
from diffusers import StableDiffusionPipeline
import gradio as gr

# Load the model
model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.to("cuda")  # Use GPU for better performance

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

# Create a Gradio interface
interface = gr.Interface(
    fn=generate_image,
    inputs="text",
    outputs="image",
    title="Text-to-Image Generator",
    description="Enter a text prompt to generate an image using Stable Diffusion."
)

# Launch the Gradio app
interface.launch()