random_interpolation.py

# draw a bunch of samples
def random_walk(png, Gs, cx, cy, cw, ch, step, seeds):
    print(png)
    latents = np.stack(np.random.RandomState(seed).randn(Gs.input_shape[1]) for seed in seeds)
#     images = Gs.run(latents, None, **synthesis_kwargs) # [seed, y, x, rgb]
    
    idx = 0
    for idxx, (l1, l2) in enumerate(zip(latents, latents[1:])):
        print(idxx, '/', len(latents))
        latent = np.stack([l1 * (1-alpha) + l2 * alpha for alpha in np.linspace(0, 1, step)])
        dlatents = Gs.components.mapping.run(latent, None)
        imgs = Gs.components.synthesis.run(dlatents, randomize_noise=False, **synthesis_kwargs)
        for img in imgs:
            img = PIL.Image.fromarray(img, 'RGB')
            img.save(os.path.join(png, '{:05d}.png'.format(idx)))
            idx += 1