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Original file line number Diff line number Diff line change
Expand Up @@ -409,8 +409,8 @@ def __call__(
latent_model_input = np.concatenate([latents] * 2) if do_classifier_free_guidance else latents
# concat latents, mask, masked_image_latnets in the channel dimension
latent_model_input = self.scheduler.scale_model_input(torch.from_numpy(latent_model_input), t)
latent_model_input = np.concatenate([latent_model_input, mask, masked_image_latents], axis=1)
latent_model_input = latent_model_input.cpu().numpy()
latent_model_input = np.concatenate([latent_model_input, mask, masked_image_latents], axis=1)

# predict the noise residual
timestep = np.array([t], dtype=timestep_dtype)
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