app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load Stable Diffusion pipeline (open source)
pipe = StableDiffusionPipeline.from_pretrained(
    "runwayml/stable-diffusion-v1-5", 
    torch_dtype=torch.float32
)

# Force CPU (free Spaces usually don’t allow GPU)
pipe.to("cpu")

def generate_image(prompt):
    image = pipe(prompt, guidance_scale=7.5).images[0]
    return image

# Gradio UI for testing
demo = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter your prompt"),
    outputs=gr.Image(label="Generated Image"),
    title="Stable Diffusion Text-to-Image",
    description="Enter a prompt and generate an image using Stable Diffusion."
)

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