app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id)
pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")

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

iface = gr.Interface(fn=generate, inputs="text", outputs="image")
iface.launch()