higgsfield-soul-id

Train a personalized Soul avatar from 5–20 user photos for identity-consistent visuals.

10|3|Updated May 26, 2026
One-click install
npx skills add https://github.com/agentik-os/OmegaOS --skill higgsfield-soul-id-agentik-os
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: higgsfield-soul-id
Source: https://github.com/agentik-os/OmegaOS/tree/main/skills/higgsfield-soul-id
Command: npx skills add https://github.com/agentik-os/OmegaOS --skill higgsfield-soul-id-agentik-os

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Creates a fixed, face-faithful Soul avatar to ensure identity-consistent visuals across generated images and videos.

Core Features & Use Cases

  • Soul training workflow: upload 5–20 photos of a single person, choose a model variant, and obtain a reusable soul reference.
  • Reusable across all Soul-powered generations with --soul-id to maintain a consistent identity.
  • Use Case: Brand avatars for marketing, person-specific visual branding, and consistent character presence across media.

Quick Start

Provide a name and 5–20 photos to train a Soul identity and obtain a reusable soul reference.

Frequently Asked Questions about higgsfield-soul-id

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I train a consistent face avatar for brand marketing visuals?

To train a consistent face avatar for brand marketing, upload 5–20 photos of a single person to create a reusable Soul reference. This ensures identity-consistent visuals across all generated images and videos using the --soul-id flag.

What do I need to create a personalized Soul avatar for visual branding?

Creating a personalized Soul avatar for visual branding requires the higgsfield CLI, authentication, a paid plan, and 5–20 photos of the target person. You will receive a reusable soul reference to maintain a stable visual identity across media.

How does identity training work for generating consistent character presence across media?

Identity training works by processing 5–20 user photos to produce a fixed, face-faithful soul reference. This reference is then applied to generation tasks with --soul-id, ensuring the same character presence appears consistently across all outputs.

Can I use my trained Soul avatar across different image and video generation tasks?

Yes, you can use your trained Soul avatar across different generation tasks by passing the reusable soul reference with the --soul-id parameter. This maintains a stable visual identity for branding and media production workflows.

How many photos are needed to maintain a stable visual identity with Soul training?

Soul training requires 5–20 photos of a single person to maintain a stable visual identity. This photo range provides enough facial data to create a fixed, face-faithful avatar for consistent branding and media production.

Why does training a brand avatar require a paid plan and authentication?

Training a brand avatar requires a paid plan and authentication because the higgsfield CLI processes and stores your personalized Soul reference. This setup ensures secure access to the reusable identity model for your generation workflows.