Don't round noise mask.
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@ -28,7 +28,6 @@ def prepare_noise(latent_image, seed, noise_inds=None):
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def prepare_mask(noise_mask, shape, device):
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def prepare_mask(noise_mask, shape, device):
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"""ensures noise mask is of proper dimensions"""
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"""ensures noise mask is of proper dimensions"""
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noise_mask = torch.nn.functional.interpolate(noise_mask.reshape((-1, 1, noise_mask.shape[-2], noise_mask.shape[-1])), size=(shape[2], shape[3]), mode="bilinear")
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noise_mask = torch.nn.functional.interpolate(noise_mask.reshape((-1, 1, noise_mask.shape[-2], noise_mask.shape[-1])), size=(shape[2], shape[3]), mode="bilinear")
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noise_mask = noise_mask.round()
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noise_mask = torch.cat([noise_mask] * shape[1], dim=1)
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noise_mask = torch.cat([noise_mask] * shape[1], dim=1)
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noise_mask = comfy.utils.repeat_to_batch_size(noise_mask, shape[0])
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noise_mask = comfy.utils.repeat_to_batch_size(noise_mask, shape[0])
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noise_mask = noise_mask.to(device)
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noise_mask = noise_mask.to(device)
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