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higgsfield-soul-id

Train a face-faithful Soul identity model for Higgsfield image and video generation.

Updated Aug 6, 2026
Search Tags:#cli#image generation#higgsfield#ai avatar#identity generation#face model#soul training
One-click install
npx skills add https://github.com/ferrarifankid04/ai-skills-public --skill higgsfield-soul-id-ferrarifankid04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: higgsfield-soul-id
Source: https://github.com/ferrarifankid04/ai-skills-public/tree/main/claude-code/skills/higgsfield-soul-id
Command: npx skills add https://github.com/ferrarifankid04/ai-skills-public --skill higgsfield-soul-id-ferrarifankid04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Creating consistent, identity-faithful images and videos of a specific person with AI generation requires a trained character model; this Skill automates the Higgsfield Soul training workflow from photo collection to a reusable reference ID. ## Core Features & Use Cases - Soul Training: Submits 5-20 face photos to the Higgsfield CLI and trains a personalized identity model, returning a reusable reference ID. - Variant Selection: Chooses between --soul-2 for image generation and --soul-cinematic for cinematic or video work based on downstream use. - Bootstrap & Error Handling: Verifies CLI installation, authentication, and paid plan status, with guidance for training failures and session expiry. - Use Case: A creator wants their own face in generated videos. They provide a name and 10 varied photos; the Skill trains the Soul and hands back an ID usable via --soul-id in higgsfield-generate. ## Quick Start Ask the assistant to train a Higgsfield Soul named after you using a set of your face photos, for example: "Create my Soul named alex from these photos."

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 Higgsfield Soul character from my photos?▼

Provide a one-word name and 5-20 face photos, then run higgsfield soul-id create with the --soul-2 or --soul-cinematic flag. The CLI uploads local paths automatically and returns a reference ID once training finishes.

How many photos do I need for Soul training?▼

Soul training requires a minimum of 5 and a maximum of 20 photos, with 8-12 being the recommended range. Photos should show varied angles, lighting, and expressions with a clear, unobstructed face.

What is the difference between soul-2 and soul-cinematic variants?▼

The --soul-2 variant is the default and targets image generation, while --soul-cinematic is intended for cinematic and video work. Choose based on your stated downstream use.

Does Higgsfield Soul training work on a free plan?▼

No, Soul training requires a paid Basic plan or higher. If higgsfield account status shows a free plan, the CLI returns a Minimum Basic plan required error and you must upgrade first.

Why did my Soul training fail?▼

Training commonly fails due to too few or too uniform photos, heavy occlusion like sunglasses or hats, group photos, or non-image uploads. Swap in better varied photos and retrain.

When should I not use Soul training for face generation?▼

Do not use Soul training for one-shot face swaps or named non-photo characters. Use higgsfield-generate with --image for single face swaps or a text prompt for fictional characters instead.

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