MAISI missing labels for conditioning maisi-rflow with vista3D pseudo labels

I’m training a pre-trained maisi-rflow model to generate new images conditioned on segmentation masks generated with vista3D.

In MAISI-data is written that the pseudo-labels can be produced using VISTA3D. I’m using MONAI bundle. Both MAISI and VISTA3D have labels IDs from 1 to 132 as can be compared in this two links:
1.https://github.com/Project-MONAI/tutorials/blob/main/generation/maisi/configs/label_dict.json
2. https://github.com/Project-MONAI/VISTA/blob/main/vista3d/data/jsons/label_dict.json
However, when I follow the MAISI inference tutorial and download the provided pseudo-labels, I see the label 200=body which does not exist in VISTA3D. As a result, when I condition maisi-rflow on my masks that only include IDs up to 132, generation quality degrades due to the missing label.

Which model or pipeline should I use to produce complete pseudo-labels compatible with maisi-rflow conditioning? Below are examples of generated images.

リンクされているMAISIとVISTA3Dのlabel_dict.jsonファイルを比較し、MAISIの推論チュートリアルと、そこで提供されている擬似ラベルを確認してください。200=bodyラベルの起源をたどり、maisi-rflowの条件付けと互換性のある完全なラベルを生成するモデルまたはパイプラインを特定してください。対応しているラベルマッピングと生成経路が文書化または修正されれば完了です。