higgsfield-soul-id

Trains a reusable face-faithful Soul Character identity on Higgsfield from user photos.

31|5|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/MoizIbnYousaf/marketing-cli --skill higgsfield-soul-id-moizibnyousaf
Or copy as Structured Prompt for Agentβ–Ό
Please help me install this Agent Skill.
Skill: higgsfield-soul-id
Source: https://github.com/MoizIbnYousaf/marketing-cli/tree/main/skills/higgsfield-soul-id
Command: npx skills add https://github.com/MoizIbnYousaf/marketing-cli --skill higgsfield-soul-id-moizibnyousaf

SYSTEM DOCUMENTATION & REQUIREMENTS

πŸ’‘ This Skill requires @higgsfield/cli, and includes references (resource) components.

What problem does it solve? Keeping a consistent, recognizable face across AI-generated images and videos normally requires re-uploading reference photos every session. This Skill trains a persistent Soul Character identity on Higgsfield once, returning a reference_id that can be reused in all future generations. ## Core Features & Use Cases - One-time identity training: Submit 5–20 face photos to train a Soul Character model and receive a reusable reference_id. - Variant selection: Choose between --soul-2 for still image generation and --soul-cinematic for cinematic video work. - Brand memory logging: Automatically appends the soul reference_id to brand/assets.md so future sessions can reuse it without re-asking. - Use Case: A marketing team wants the founder's face to appear consistently across a video ad campaign. They train a Soul once with 10 photos, then pass the reference_id to higgsfield-generate for every subsequent image and video. ## Quick Start Train a Soul Character named alex using my face photos in the ./photos folder and save the reference for future generations.

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 reusable face identity for AI image generation?β–Ό

Run higgsfield soul-id create with a name, a model variant, and 5-20 face photos. The CLI uploads the photos, trains the Soul Character, and returns a reference_id you pass to higgsfield-generate with --soul-id for all future generations.

How many photos do I need for Higgsfield Soul training?β–Ό

Soul training requires a minimum of 5 photos and accepts up to 20, with 8-12 being the recommended range. Use varied angles, lighting, expressions, and distances, with sharp images of at least 1024x1024 resolution.

What is the difference between soul-2 and soul-cinematic variants?β–Ό

The --soul-2 variant is optimized for still image generation and is the default choice. The --soul-cinematic variant is designed for cinematic and video work where motion fidelity matters, so pick based on your downstream use.

Does Higgsfield Soul training work on the free plan?β–Ό

No, Soul Character training requires a Basic plan or higher. Check your plan with higgsfield account status before submitting, since the command fails mid-run with a plan error on free accounts.

Why did my Soul training fail?β–Ό

Training commonly fails due to fewer than 5 photos, heavy occlusion like sunglasses or hats, group photos confusing identity, or uploading videos instead of images. Swap in clearer, more varied photos and retrain.

When should I use Soul training instead of a one-shot face reference?β–Ό

Use Soul training when you need the same face across many generations or an entire campaign. For a single image with a face reference, use higgsfield-generate with --image instead, and for fictional avatars use a text prompt.