higgsfield-soul-id

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

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

Audit 0.4.1 · source sha d60a8ba7e89c · 26 Oct 2026Report an issue or request a re-scan

• Publisherhiggsfield-ai GitHub organizationOwner of the repository this skill is read from
• Source folderhiggsfield-ai/skills/higgsfield-soul-idThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdictd60a8ba7e89cA new audit runs when the source changes
• Repository statusNot archivedLast push 29 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: 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…

---
version: 0.13.0
name: higgsfield-soul-id
description: |
  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".
  Chain: train Soul (one-time, returns reference_id) → use in
  higgsfield-generate via `--soul-id <id>` with models like
  `text2image_soul_v2` or `soul_cinematic`.
  NOT for: one-shot face swaps (use higgsfield-generate with --image),
  named-character / non-photo avatars (use higgsfield-generate with prompt).
argument-hint: "[name] [photo paths...]"
allowed-tools: Bash
---

# 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
   ```
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.**
   ```bash
   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`:

```bash
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
```

`--soul-id` is sent as the model's `custom_reference_id`. For a curated Soul style, list styles with `higgsfield preset list soul-v2` and pass the chosen id as `--style_id` on `text2image_soul_v2`. `--style_id` cannot be combined with `--image`.

## Listing existing Souls

```bash
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

Excerpt, first 3,594 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/higgsfield-ai/skills
git -C skills checkout d60a8ba7e89c

Works in

1. 2026-10-26
   ✓SAFE B 89 / 100

   first audit · source d60a8ba7e89c

Questions about higgsfield-soul-id

• github.com/higgsfield-ai/skills/tree/main/higgsfield-soul-id — the audited source at commit d60a8ba7e89c and every finding aboveObserved · 26 Oct 2026

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