def get_cond(self, image: Union[torch.Tensor, list[Image.Image]]) -> dict:
        """
        Get the conditioning information for the model.

        Args:
            image (Union[torch.Tensor, list[Image.Image]]): The image prompts.

        Returns:
            dict: The conditioning information
        """
        cond = self.encode_image(image)
        neg_cond = torch.zeros_like(cond)
        return {
            'cond': cond,
            'neg_cond': neg_cond,
        }

        Get the conditioning information for the model.

        Args:
            image (Union[torch.Tensor, list[Image.Image]]): The image prompts.

        Returns:
            dict: The conditioning information
        
trellis/pipelines/trellis_image_to_3d.py