app.py

import gradio as gr
import torch
from diffusers import StableDiffusionPipeline

model_id = "runwayml/stable-diffusion-v1-5"

pipe = StableDiffusionPipeline.from_pretrained(
    model_id,
    torch_dtype=torch.float32
)
pipe = pipe.to("cpu")  # important for free Spaces

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

demo = gr.Interface(
    fn=generate,
    inputs=gr.Textbox(placeholder="Enter your prompt..."),
    outputs="image",
    title="Text to Image Generator"
)

demo.launch()