higgsfield-soul-id

Train a personalized face model with the higgsfield CLI.

23|2|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/cfongai/higgsfield-content-pipeline --skill higgsfield-soul-id-cfongai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: higgsfield-soul-id
Source: https://github.com/cfongai/higgsfield-content-pipeline/tree/main/skills/higgsfield-soul-id
Command: npx skills add https://github.com/cfongai/higgsfield-content-pipeline --skill higgsfield-soul-id-cfongai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires higgsfield, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of creating a personalized face model that can be used for identity-faithful image and video generation, reducing the need for repeated training on the same person.

Core Features & Use Cases

  • Personalized Face Model Training: Create a model based on an individual's face for consistent image and video generation.
  • Reusable across Applications: The trained model can be used for various applications such as personal branding, e-commerce, and video production.
  • Use Case: If you are a YouTuber looking to create consistent visuals across your videos, you can train a Soul model with your photos and then use it to generate all your still and motion content.

Quick Start

Train your Soul model with your name and photos: higgsfield soul-id create --name "My Name" --image photo1.jpg --image photo2.jpg ...

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 personalized face model for consistent image and video generation?

Train a face model for consistent visual representation by running the higgsfield CLI command with your name and photos. This creates a reusable identity-faithful model for generating personal branding and e-commerce images or videos without repeated training.

Do I need a higgsfield account to create a face model for personal branding?

Yes, creating a face model for personal branding requires a higgsfield account and the higgsfield CLI. You need these dependencies to train the identity-faithful model and generate consistent visual content across your applications.

Can I reuse a trained face model across different video production projects?

Yes, a trained face model is reusable across different video production projects. Once you train the model with your photos, you can apply it to generate consistent identity-faithful visuals for various applications like YouTube videos and e-commerce product promotion.

What is identity-faithful image generation and when do I need it?

Identity-faithful image generation creates visual content that consistently represents an individual's face. You need it for scenarios requiring consistent personal representation across media, such as personal branding, e-commerce product promotion, and video production.

How many photos do I need to provide to train a face model with higgsfield?

The higgsfield CLI accepts multiple photos for training a face model via the `--image` flag. You provide several photos of an individual to create an accurate, identity-faithful model for generating consistent images and videos.