def get_cond(self, prompt: List[str]) -> dict:
        """
        Get the conditioning information for the model.

        Args:
            prompt (List[str]): The text prompt.

        Returns:
            dict: The conditioning information
        """
        cond = self.encode_text(prompt)
        neg_cond = self.text_cond_model['null_cond']
        return {
            'cond': cond,
            'neg_cond': neg_cond,
        }

        Get the conditioning information for the model.

        Args:
            prompt (List[str]): The text prompt.

        Returns:
            dict: The conditioning information
        
trellis/pipelines/trellis_text_to_3d.py