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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).

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=higgsfield-ai-skills-higgsfield-soul-id-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
version 0.12.0 name higgsfield-soul-id description 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). argument-hint [name] [photo paths...] allowed-tools Bash 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
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
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.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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