import gradio as gr
import torch
from torch import autocast
from diffusers import StableDiffusionPipeline


def get_stable_diffusion_random_image(prompt):
    model_id = "CompVis/stable-diffusion-v1-4"
    device = "cuda"
    pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True)
    pipe = pipe.to(device)
    with autocast("cuda"):
        image = pipe(prompt, guidance_scale=7.5)
        return image


iface = gr.Interface(fn=get_stable_diffusion_random_image, inputs="text", outputs="image")
iface.launch(share=True)