SkillsAdd

qwwiwi/agentos-skills-public · Archived

higgsfield-soul-id

Train a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation. Use when: "create my Soul", "train my face", "make my digital twin", "build me an avatar", "learn my appearance", "create a character of me", "set up identity for video", "I want my face in generated images". higgsfield-generate via `--soul-id <id>` with models like `text2image_soul_v2` or `soul_cinema_studio`. NOT for: one-shot face swaps (use higgsfield-gener…

First seen Jul 19, 2026

Installation

$ npx skills add qwwiwi/agentos-skills-public --skill higgsfield-soul-id
View on skills.sh ↗ GitHub repository ↗

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 3
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version0.3.0
Allowed toolsBash

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,377 B
  • docs SUMMARY.md 682 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Higgsfield Soul Character

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:

``bash curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh ``

  1. If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.
  2. 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.

  1. Submit.

``bash higgsfield soul-id create --name "<name>" --soul-2 --image ./photo1.png --image ./photo2.png ... higgsfield soul-id create --name "<name>" --soul-2 --image <uploadid> --image <uploadid> ... `` CLI auto-uploads paths. Captures returned reference id.

  1. Wait. higgsfield soul-id wait <id>. Silent. Default timeout 30m.
  2. 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 expired → higgsfield auth login.

Reference docs

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