higgsfield-soul-id

We need to translate the given text from English to Traditional Chinese. The text describes a skill for training a Soul Character using Higgsfield. It includes instructions on when to use it and a chain of actions. We must preserve the name "higgsfield-soul-id" if it appears, but it does not appear in the text. The text includes terms like "Soul Character", "Higgsfield", "reference_id", "higgsfield-generate", "--soul-id", "text2image_soul_v2". These should be preserved as is. Also preserve URLs, numbers, technical terms. No extra commentary. Translation: "Train a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation." -> "訓練一個靈魂角色——基於個人臉部的個性化模型，Higgsfield 用於生成忠於身份的照片和影片。" "Use when: "create my Soul", "train my face", "make my digital twin", "build me an avatar", "learn my appearance",

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