How do I install the Higgsfield Soul Id skill?

Run npx skillmds@latest add s3yed/higgsfield-soul-id in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Higgsfield Soul Id safe to use?

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Which AI agents work with Higgsfield Soul Id?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Higgsfield Soul Id free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Higgsfield Soul Id?

S3YED (@s3yed) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Higgsfield Soul Id by s3yed — Agent Skill

Name: Higgsfield Soul Id
Author: S3YED

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_cinema_studio`. NOT for: one-shot face swaps (use higgsfield-generate with --image), named-character / non-photo avatars (use higgsfield-generate with prompt).

S3YED Updated Sep 17, 2026

File contents

Higgsfield Soul Character

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

Step 0 — Bootstrap

Before any other command:

If higgsfield is not on $PATH, install it:

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

If higgsfield account status fails with Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.
Soul training requires a paid plan (Basic+). If higgsfield account status shows free plan, tell the user before submitting.

UX Rules

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

Workflow

Get name. One word, used for later reference. Ask if missing.
Get photos. 5–20 face photos, varied angles and lighting. Local paths or already-uploaded IDs both work — --image accepts either.
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.

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.

Wait. higgsfield soul-id wait <id>. Silent. Default timeout 30m.
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

---name: higgsfield-soul-iddescription: 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_cinema_studio`. NOT for: one-shot face swaps (use higgsfield-generate with --image), named-character / non-photo avatars (use higgsfield-generate with prompt).---# Higgsfield Soul CharacterTrain a face-faithful identity model. Reusable across all Soul-powered generations.## Step 0 — BootstrapBefore 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 Rules1. 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.## Workflow1. **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 SoulOnce trained, pass to `higgsfield-generate`:```bashhiggsfield generate create text2image_soul_v2 --prompt "..." --soul-id <ref_id> --quality 2k --waithiggsfield generate create soul_cinematic --prompt "..." --soul-id <ref_id> --quality 2k --wait```## Listing existing Souls```bashhiggsfield soul-id list # all referenceshiggsfield 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

Frequently asked questions