app.py

import re
import os
import requests
import gradio as gr
from datasets import load_dataset
from PIL import Image
import torch
from torch import autocast

from transformers import pipeline, set_seed
from diffusers import StableDiffusionPipeline

# GPT2
generator = pipeline('text-generation', model='gpt2')
set_seed(42)

generator("Hello world, I'm vizard,", max_length=50, num_return_sequences=3)

# SD v1.4
pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True, revision="fp16", torch_dtype=torch.float16)
pipe = pipe.to(device)
torch.backends.cudnn.benchmark = True