import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

pipe = StableDiffusionPipeline.from_pretrained(
    "stabilityai/stable-diffusion-2-1",
    torch_dtype=torch.float16
).to("cpu")

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

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