Outpainting mk2, prevent generation of a completely random image every time even when global seed is static
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@ -85,8 +85,11 @@ def get_matched_noise(_np_src_image, np_mask_rgb, noise_q=1, color_variation=0.0
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src_dist = np.absolute(src_fft)
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src_dist = np.absolute(src_fft)
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src_phase = src_fft / src_dist
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src_phase = src_fft / src_dist
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# create a generator with a static seed to make outpainting deterministic / only follow global seed
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rng = np.random.default_rng(0)
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noise_window = _get_gaussian_window(width, height, mode=1) # start with simple gaussian noise
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noise_window = _get_gaussian_window(width, height, mode=1) # start with simple gaussian noise
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noise_rgb = np.random.random_sample((width, height, num_channels))
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noise_rgb = rng.random((width, height, num_channels))
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noise_grey = (np.sum(noise_rgb, axis=2) / 3.)
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noise_grey = (np.sum(noise_rgb, axis=2) / 3.)
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noise_rgb *= color_variation # the colorfulness of the starting noise is blended to greyscale with a parameter
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noise_rgb *= color_variation # the colorfulness of the starting noise is blended to greyscale with a parameter
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for c in range(num_channels):
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for c in range(num_channels):
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