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.

Confronta i file label_dict.json collegati di MAISI e VISTA3D e rivedi il tutorial di inferenza di MAISI e i pseudo-label forniti. Traccia l’origine dell’etichetta 200=body e determina quale modello o pipeline produce etichette complete compatibili con il condizionamento di maisi-rflow. Il lavoro è completato quando la mappatura delle etichette supportate e il percorso di generazione sono documentati o corretti.