KadmilOS — AI Module

AI Fashion Studio

Brand catalog / campaign photoshoot via POST /api/v1/ai/models. Studio caps 500 / 2,000 / 5,000. Includes Model Library. Not shopper Try-On.

Fitting-room PDP try-on is a separate SKU — Try-On Standard / Pro. Pro quality on Studio still requires Try-On Pro entitlement.

Sample from the Model Catalog — five real catalog entries spanning body type, age, and presentation. AI-generated synthetic images; no real persons depicted.Full library via model_library · GET /api/v1/ai/models/catalog

500→5k

Studio caps / mo

Studio

Brand catalog job

+Library

Includes Model Library

How it works

01

Send garment + model URLs

POST flat/hanger garment + model image to /api/v1/ai/models. BYOM or a Model Library catalog URL (included with Studio checkout).

02

Studio places the garment

Brand photoshoot path — catalog/campaign stills at studio caps (500 / 2,000 / 5,000), not shopper fitting-room credits.

03

Receive campaign still

Async job returns poll_url; completed JPEG on KadmilOS CDN for lookbooks, wholesale packs, campaign grids.

04

Scale the catalog

Reshoot a collection across model configurations without a physical studio day. Shopper PDP try-on is a separate SKU.

One call, one studio still

curl -X POST https://www.vinket.eu/api/v1/ai/models \
  -H "X-KOS-Key: your_trial_key" \
  -H "Content-Type: application/json" \
  -d '{
    "garment_image": "https://cdn.yourbrand.com/sku-jacket-001.jpg",
    "model_image": "https://cdn.kadmilos.vinket.eu/models/f-eu-03.jpg",
    "category": "outerwear",
    "external_sku": "SKU-JACKET-001"
  }'

# Response (async job+poll):
# {
#   "ok": true,
#   "job_id": "…",
#   "status": "processing",
#   "poll_url": "/api/ai/jobs/…"
# }

Where brands use AI Fashion Studio

Brand catalog / lookbook

On-model stills for SS26 packs and campaign grids — studio billing caps, not fitting-room credits.

Wholesale catalogues

Show buyers your range on diverse models in consistent lighting — generated programmatically.

Not shopper Try-On

For PDP fitting-room (product_to_model + credit pool), use Try-On Standard / Pro — a different product.

Frequently asked questions

  • Is AI Fashion Studio the same as Try-On?

    No. Studio = brand catalog / campaign photoshoot via POST /api/v1/ai/models (500/2k/5k caps). Try-On = shopper/PDP fitting-room via POST /api/v1/ai action=product_to_model (credit pool). Different jobs, routes, and billing.

  • Does AI Fashion Studio include Model Library?

    Yes — checkout includes Model Library as a complementary catalog add (not the same job). Model Library alone is browse/select only — no generation.

  • Do I need Try-On to run standard Studio?

    No. Standard studio path needs ai_models only. quality=pro on this route requires Try-On Pro entitlement (documented cross-SKU — never a silent upgrade).

  • Are the output images AI-generated? Do I need to disclose this?

    Yes — all on-model product photos produced by this API are AI-generated. Under EU AI Act Article 50(4), deployers must disclose AI-generated or AI-manipulated imagery where required. KadmilOS supports disclosure workflows; it is not legal advice.

EU AI Act — Art. 50 Transparency Notice

All on-model product photos generated by this API are AI-generated imagery. Catalog models are AI-generated synthetic images — no real persons depicted, all visually unambiguous adults. Under EU AI Act Article 50(4), deployers must disclose AI-generated or AI-manipulated product imagery. KadmilOS is designed to support these disclosure obligations. It does not constitute legal compliance advice.

KadmilOS

KadmilOS is a vinket.eu product.

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