Higgsfield Soul Character

SkillMedia

Generate images where the same character stays recognizable from one picture to the next. Once this skill is added, your AI can create new pictures featuring a consistent character identity using Higgsfield's Soul ID. It is a developer tool from the higgsfield-ai skills repository.

Available today. Use it from your connected AI after setup.

Add the skill, then ask your AI to generate images of a character. Mention the same character in later requests to keep its identity consistent.

Then ask your AI: use the Higgsfield Soul Character skill

What your AI can do with it

  • Generate images featuring a consistent character identity
  • Keep the same character recognizable across many generated images
  • Create new scenes that include your established character
  • Use Higgsfield's Soul ID to anchor how a character looks

What this skill tells your AI

The instructions your AI receives, as published by higgsfield-ai/skills in higgsfield-soul-id/SKILL.md and read by ahel’s review.

Train a face-faithful identity model. Reusable across all Soul-powered generations.

Step 0 — Bootstrap

Before any other command:

  1. If higgsfield is not on $PATH, install it:
    curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
    
  2. If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.
  3. Soul training requires a paid plan (Basic+). If higgsfield account status shows free plan, tell the user before submitting.

UX Rules

  1. Be concise. No raw IDs in chat. Just say "Soul ready" with a name reference.
  2. Detect language and respond in it. CLI flags stay English.
  3. Ask for the smallest set of inputs: name + photos. Pick a sensible model variant.
  4. Polling is silent — training takes minutes. Don't repeat status updates.

Workflow

  1. Get name. One word, used for later reference. Ask if missing.
  2. Get photos. 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — --image accepts either.
  3. Pick variant.
    • --soul-2 — for image generation (default)
    • --soul-cinematic — for cinematic / video work Choose based on user's stated downstream use. Default to --soul-2.
  4. Submit.
    higgsfield soul-id create --name "<name>" --soul-2 --image ./photo1.png --image ./photo2.png ...
    higgsfield soul-id create --name "<name>" --soul-2 --image <upload_id> --image <upload_id> ...
    
    CLI auto-uploads paths. Captures returned reference id.
  5. Wait. higgsfield soul-id wait <id>. Silent. Default timeout 30m.
  6. Deliver. "Soul <name> ready. Use in generate with --soul-id <id>."

Use the Soul

Once trained, pass to higgsfield-generate:

higgsfield generate create text2image_soul_v2 --prompt "..." --soul-id <ref_id> --quality 2k --wait
higgsfield generate create soul_cinematic --prompt "..." --soul-id <ref_id> --quality 2k --wait

Listing existing Souls

higgsfield soul-id list                   # all references
higgsfield soul-id get <id>               # one by id

Errors

  • Minimum Basic plan required — user is on free plan; tell them.
  • Training failed — check photos quality (5+ unique faces, well-lit).
  • Session expiredhiggsfield auth login.

Reference docs

  • references/photo-guide.md — what photos work best
  • references/troubleshooting.md — common training failures

Signals

GitHub stars
926
Forks
141
Last commit
Aug 2026
Installs
143k installs
Advanced
Catalog kind
skill
Gateway key
higgsfield-soul-id
Source
github.com/higgsfield-ai/skills