higgsfield-soul-id

To train a personalized digital avatar, you provide a person's name and multiple face photos to train a custom identity model. This Skill uses Bash scripts to manage the training process and create a face-faithful Soul Character.

Yes, you can use your trained face model for video generation by integrating with higgsfield-generate. It supports identity-faithful video outputs using models like soul_cinematic after the initial training is complete.

Creating a digital twin requires a paid plan, a set of face photos for training, and Bash scripts to execute the training. You provide the photos and a name to generate the personalized identity model.

The best way to generate identity-based content is to first train a Soul Character and then use higgsfield-generate. This workflow supports specific models like text2image_soul_v2 to ensure the output matches the trained identity.

Yes, training a face recognition model for digital avatars requires a paid plan. The Skill leverages Bash scripts for training and management, which are gated behind the paid subscription tier.

Digital avatar training needs multiple photos to accurately capture facial features and build a face-faithful identity model. Providing several images ensures the trained Soul Character generates accurate identity-based content.