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from diffusers import DiffusionPipeline
import spaces
import gradio as gr
import torch

pipe = DiffusionPipeline.from_pretrained("Fucius/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16")
pipe.to('cuda')


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

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