skill

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". Chain: train Soul (one-time, returns reference_id) → use in higgsfield-generate via `--soul-id <id>` with models like `text2image_soul_v2` or `soul_cine...

higgsfield-ai158,485+ installsVetted

About

# 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 ```

## 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

Install

Run this command

npx skills add higgsfield-ai/skills

Works with

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Manual steps

Install with `npx skills add higgsfield-ai/skills`, or clone the repository and copy the `higgsfield-soul-id` folder into your Claude skills directory.

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