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Machine Learning · Design / AGENT SKILL
higgsfield-soul-id
0
Train personalized Higgsfield face models for consistent identity in generated images and videos.
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).
Understand the trade-offs.
SKILL QUALITY
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The full skill.
Original instructions from the publisher’s 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 ``` 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
Skill folder
Files included alongside SKILL.md in the publisher’s repository.