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from denoising_diffusion_pytorch import Unet, GaussianDiffusion, Trainer

if __name__ == '__main__':
    model = Unet(
        dim=64,
        dim_mults=(1, 2, 4, 8)
    )

    diffusion = GaussianDiffusion(
        model,

maciej-adamiak

import cv2
import glob
import numpy as np
import tensorflow as tf


def process_image(image_size, path, preserve_file=False):
    path = path.decode('utf-8')
    image = cv2.imread(path, cv2.IMREAD_UNCHANGED)
    image = cv2.resize(image, (image_size, image_size))

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