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",
npx skills add https://github.com/higgsfield-ai/skills --skill higgsfield-soul-idHiggsfield Soul Character
Train a face-faithful identity model. Reusable across all Soul-powered generations.
Step 0 — Bootstrap
Before any other command:
- If
higgsfieldis not on$PATH, install it:curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh - If
higgsfield account statusfails withSession expired/Not authenticated, ask the user to runhiggsfield auth login(interactive) and wait for confirmation. - Soul training requires a paid plan (Basic+). If
higgsfield account statusshows 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 —
--imageaccepts 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.
CLI auto-uploads paths. Captures returned reference id.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> ... - 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 bestreferences/troubleshooting.md— common training failures