app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load the Stable Diffusion model from Hugging Face Hub
model_id = "runwayml/stable-diffusion-v1-5"

pipe = StableDiffusionPipeline.from_pretrained(
    model_id,
    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
)
pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")

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

# Gradio UI
demo = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter your prompt"),
    outputs=gr.Image(label="Generated Image"),
    title="Text-to-Image Generator",
    description="Generate images from text using Stable Diffusion (v1-5)."
)

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