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.