Should we change the parameters for personalization_config in the yaml config file?

[xiankgx]

In the config file configs/stable-diffusion/v1-finetune_unfrozen.yaml,

    personalization_config:
      target: ldm.modules.embedding_manager.EmbeddingManager
      params:
        placeholder_strings: ["*"]
        initializer_words: ["sculpture"]
        per_image_tokens: false
        num_vectors_per_token: 1
        progressive_words: False

Should the parameters here be changed, especially placeholder_strings and initializer_words? I'm guessing that it should not be necessary since we are not introducing any new learned embedding as in Textual Inversion.

Please enlighten me. Thank you.