app.py

import torch
import spaces
import gradio as gr
from diffusers import StableDiffusionPipeline
import open_clip

pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4").to('cuda')
model, preprocess = open_clip.create_model_from_pretrained('hf-hub:laion/CLIP-ViT-g-14-laion2B-s12B-b42K')
tokenizer = open_clip.get_tokenizer('hf-hub:laion/CLIP-ViT-g-14-laion2B-s12B-b42K')


@spaces.GPU
def generate(prompt):
    return pipe(prompt).images

gr.Interface(
    fn=generate,
    inputs=gr.Text(),
    outputs=gr.Gallery(),
).launch()