app.py

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

pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4").to('cuda')
model, _, _ = create_model_and_transforms(
    "ViT-H-14",
    device=torch.device("cpu"),
    pretrained="laion2b_s32b_b79k",
    )


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

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