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
"
--image < upload_id
.. . CLI auto-uploads paths. Captures returned reference id. Wait. higgsfield soul-id wait
. Silent. Default timeout 30m. Deliver. "Soul ready. Use in generate with --soul-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