higgsfield-soul

Maintain character identity across multi-shot generations using Soul ID profiles.

129|21|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/dsm5e/aso-tracker --skill higgsfield-soul-dsm5e
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: higgsfield-soul
Source: https://github.com/dsm5e/aso-tracker/tree/main/aso-video/docs/higgsfield-prompts/skills/higgsfield-soul
Command: npx skills add https://github.com/dsm5e/aso-tracker --skill higgsfield-soul-dsm5e

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents character identity drift when generating multiple images or shots, so faces and core stylistic traits stay consistent across different scenes and camera moves.

Core Features & Use Cases

  • Soul ID character consistency: Create a reusable character profile once and reference it for unlimited future generations to maintain facial and stylistic identity.
  • Identity vs. Motion prompt separation: Enforces a strict two-block prompting rule so static identity descriptors and temporal camera/action directions do not conflict.
  • Character sheets and micro-expression control: Guides creating multi-angle reference sheets and adding nuanced facial performance direction for coherent, repeatable character acting.
  • Multi-character consistency: Shows how to reference multiple Soul IDs in the same scene with distinct identity anchors.

Quick Start

Use the higgsfield-soul skill to keep one character’s face consistent by splitting your prompt into an identity block and a motion block while referencing the same Soul ID for each shot.

Frequently Asked Questions about higgsfield-soul

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep character identity consistent across multiple AI image and video generations?

To maintain character identity consistency across multiple generations, define a reusable Soul ID profile and reference it for each new shot. This prevents facial and stylistic drift when creating recurring protagonists or multi-scene action sequences.

Why does my character's face change when I add motion or camera directions to the prompt?

Identity drift happens when static descriptors and temporal directions conflict. To prevent artifacts, enforce a strict two-block prompting rule that separates static identity descriptors from temporal camera and action directives.

How do I generate consistent multiple characters in the same scene?

To maintain multi-character consistency in one scene, reference distinct Soul ID profiles for each individual. This anchors separate identity traits and prevents facial or wardrobe blending during generation.

Can I control facial expressions and camera angles for a consistent character?

Yes, you can guide nuanced facial performance by creating multi-angle character sheets. Direct micro-expressions by keeping identity descriptors in a dedicated prompt block separate from motion directives.

What is the best way to create an AI influencer with stable facial traits across different scenes?

The best way to build an AI influencer persona is to create a single Soul ID character profile once. Reuse this exact profile across unlimited future generations to lock facial and stylistic traits.

When should I separate identity descriptors from motion directives in AI prompting?

You should always separate identity from motion when generating multi-shot sequences requiring stable traits. This strict prompt structure prevents identity drift and artifacts caused by conflicting static and temporal instructions.