higgsfield-soul-id

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

Updated Sep 6, 2026
One-click install
npx skills add https://github.com/AbuBakar125-co/Resturant_web --skill higgsfield-soul-id-abubakar125-co
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: higgsfield-soul-id
Source: https://github.com/AbuBakar125-co/Resturant_web/tree/main/.agents/skills/higgsfield-soul-id
Command: npx skills add https://github.com/AbuBakar125-co/Resturant_web --skill higgsfield-soul-id-abubakar125-co

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 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 Character Training: Submits 5-20 face photos to train a personalized identity model via the Higgsfield CLI, returning a reusable reference ID. - Variant Selection: Chooses between --soul-2 for image generation and --soul-cinematic for cinematic video work based on the downstream use case. - 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 face in AI-generated videos. They provide a name and 10 varied photos; the Skill trains the Soul and hands back an ID usable with higgsfield generate commands like text2image_soul_v2. ## Quick Start Train a Soul character named alex using my photos in the ./photos folder so I can generate images of myself with Higgsfield.

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 Soul character with Higgsfield?▼

Run higgsfield soul-id create with a name, a variant flag like --soul-2, and 5-20 face photos via repeated --image flags. The CLI uploads local paths automatically and returns a reference ID once training completes.

What photos work best for Higgsfield Soul training?▼

Use 8-12 sharp photos of a single person with varied angles, lighting, expressions, and distances. Avoid group photos, sunglasses, heavy filters, hats, and repeated poses, as these reduce identity capture quality.

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

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

Why does Higgsfield Soul training fail?▼

Training fails when there are fewer than 5 photos, heavy occlusion like sunglasses or hats, group photos confusing identity, or non-image uploads. Swap in better varied photos and retrain.

Does Soul training require a paid Higgsfield plan?▼

Yes, Soul training requires at least the Basic paid plan. If higgsfield account status shows a free plan, the CLI returns a Minimum Basic plan required error and you must upgrade first.

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

Do not use Soul training for one-shot face swaps, which higgsfield-generate handles with --image, or for named non-photo characters, which a text prompt handles. Soul is for reusable identity-faithful models.