This skill allows users to train a face-faithful identity model that can be reused across all Soul-powered generations. It is intended for developers looking to create accurate identity representations in their applications.
$ npx skills add https://github.com/higgsfield-ai/skills --skill higgsfield-soul-idHiggsfield Soul Character lets you train a personalized identity model from face photos that can be reused across all Soul-powered image and video generations. The skill captures a person's appearance into a reusable reference ID, which is then passed to generation models like text2image_soul_v2 or soul_cinematic_studio. Training requires 5–20 face photos from varied angles and lighting, and returns a reference ID for downstream use. This solves the problem of maintaining consistent identity across multiple generated outputs without manual face-swapping. Developers building avatar systems, digital twin applications, or identity-consistent content pipelines benefit most.
Execute the installation command to add the skill and follow bootstrap steps.
Train a realistic character identity for gaming.
Create personalized avatars for social media.
Develop identity models for virtual assistants.
$ npx skills add https://github.com/higgsfield-ai/skills --skill higgsfield-soul-idgit clone https://github.com/higgsfield-ai/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Check the GitHub repository or documentation for usage examples.
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