Templates

Creators UGC photo sets (Styled Photoset)

Styled Photoset uses a real creator photo as the base — your garment is overlaid onto a marketplace creator's curated frame. After garment analysis, scope checkboxes are grouped under Person, Wearables, and Scene so you control what swaps. Each marketplace frame is classified On-person (try-on) or In-scene swap and routed to the matching prompt. Two or more files required (first = creator frame, rest = garment).

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Styled Photoset is the Creators UGC template. Instead of a preset AI model, the base image is a real frame from a marketplace creator photo set — so the model, environment, and lighting are real, and only the garment is generated. The output reads as authentic UGC because most of it is real. URL: /app/Creative/styled-photoset.

Steps

  1. Browse creators on ExploreGo to /explore (or /app/explore), type a query if needed, and press Enter to search — typing alone does not refilter the grid. Pick a creator photo set whose model and aesthetic match your drop.open in Apiway
  2. Open the set and pick a framePick a frame from the set; you are taken into Creators UGC photo sets with the listing preselected. Free plan: Choose a frame (one frame per run). Paid plans: Choose shots (multi-select).
  3. Upload your garment and review scopeDrag in one or more garment photos (≥1 garment after the creator frame; up to 10 files total). After analysis, use the Person, Wearables, and Scene checkbox groups to choose what to include — at least one item must stay checked.
  4. GenerateApiway routes the frame as On-person (try-on) or In-scene swap and overlays only the entities you selected. The buyer cost includes a marketplace surcharge that pays the photographer and any co-authors.

Garment scope (Person, Wearables, Scene)

After you upload a garment photo, Apiway analyzes visible entities on the reference frame and on your garment image. The UI groups checkboxes into three sections:

  • Person — model identity on the frame (when the listing supports person swap).
  • Wearables — clothing and accessories worn or carried on the body.
  • Scene — products and props in the environment (flat lay, tabletop, shelf, in-hand objects, and similar).

Each section has a master checkbox to select or clear the whole group. At least one item must remain included before you generate. Uncheck scene products when you only want a try-on; include them when the frame is a product hero or mixed scene.

Per-frame generation mode

Every marketplace frame is classified as On-person (try-on) or In-scene swap when the listing is published (and kept up to date in admin QA). Apiway picks the matching generation prompt: on-person frames dress the model; in-scene frames swap products in the environment while preserving lighting and composition.

Inputs and limits

  • Total files: ≥ 2 (first = creator frame from a marketplace listing, rest = garment photos). Max 10.
  • Per file: ≤ 60 MB. Total request: ≤ 200 MB.
  • Frame index: Explore preselects a frame when you click into a listing — passed via session storage.

Cost: standard + marketplace surcharge

Standard generation cost plus a marketplace surcharge that pays the creator (and any co-authors). Buyer price = creator pool credits + 20% platform markup (default). See Pricing and buyer price.

Why this template

Pure-AI fashion models often look slightly “plastic” — empty eyes, off micro-expressions. Real creator frames carry the human signal that AI cannot fake. Apiway calls this the Hollywood VFX approach: real human anchors plus AI garment overlay. Output reads as authentic enough for UGC-style ads on TikTok, Meta, and Pinterest.

Every marketplace listing is published with model release on file and the model named as a co-author with revenue share. You operate under a clear, paid, per-generation commercial license. See Marketplace licensing trail.

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