Agent skill · software engineering · aiskillstore
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).
Why this skill is useful
Adds executable Bash scripts for training a personalized identity model that the AI cannot generate on its own.
What it needs
Requires higgsfield installed locally. Requires higgsfield account access. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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: 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. 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: Listing existing Souls 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
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/higgsfield-soul-id