higgsfield-soul-id
Trains personalized facial AI models, maintaining character identity consistency, enabling cross-scene reuse generation. AI Agent Skill, enhances work efficiency and automation capabilities.
npx skills add higgsfield-ai/skills --skill higgsfield-soul-idBefore / After Comparison
1 组Re-entering character feature descriptions every time new content is generated leads to inconsistent AI-generated character appearances, requiring repeated adjustments to prompts and multiple retries, wasting time and Tokens.
Train a dedicated facial model once to automatically maintain character identity consistency in all subsequent generations, eliminating the need to repeatedly describe features and significantly improving generation efficiency and accuracy.
higgsfield-soul-id
Higgsfield 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.
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> --wait
higgsfield generate create soul_cinema_studio --prompt "..." --soul-id <ref_id> --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
Weekly Installs2.4KRepositoryhiggsfield-ai/skillsGitHub Stars45First Seen1 day agoSecurity AuditsGen Agent Trust HubPassSocketPassSnykFail
User Reviews (0)
Write a Review
No reviews yet
Statistics
User Rating
Rate this Skill