Use cases · Regional model localization

Generate storefront photos with models cast for each market

Run Product page set against an approved brief for each storefront. Check account-level avatar coverage and local destination rules; appearance does not establish nationality.

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Model wearing a pleated sleeveless high-neck blouse, full-body front on the Pure White studio, generated with nano-banana-pro through the Product page set template
Front hero from the Product page set template: pleated sleeveless high-neck blouse on the Pure White studio, generated with nano-banana-pro through the Uwear MCP.

What the job involves

Proposed owners: regional merchandising, creative production and publishing teams. Match casting to an approved market brief without assuming preferences for a whole population.[1][2][3]

What the job involves
OwnerWhat the source says
Nike × NorBlack NorWhiteThe 10 June 2025 India campaign named four participants and announced global distribution. This is creative casting, not four storefront variants.[1]
SchutzIts Summer 25 campaign names Bruna Marquezine and agency Masciottii. No localized image count or production cost was published.[2]
MaviHistorical milestones name international and Turkish talent in 2012, 2013 and 2017. They do not establish a preferred national appearance.[3]

How teams do it today

  1. Agree the brief with each regional owner

    Proposed process: record adult casting references, presentation, rights and destination. The brand examples do not prove same-SKU localization across markets.[1][2][3]

  2. Check inputs before producing sets

    OnModel markets country-specific model changes. That offer does not establish consent, nationality compliance or measured conversion gains.[4][17]

Requirements and constraints

Requirements and constraints
RuleRequirement or guidance
India: advertising and MyntraASCI I.4 says ads must not “distort facts nor mislead the consumer”; III.1(b) addresses derision. ASCI is self-regulatory, not a government regulator.[5]
India: partner guide gapMyntra’s first-party portal was unavailable. Fynd’s reported image limits are provider guidance only; obtain the current partner guide before export.[15]
Brazil: CONARArticle 27: “O anúncio deve conter uma apresentação verdadeira do produto oferecido”. The official PDF has a 2026 filename but an Edição 2025 cover; that discrepancy remains open.[6]
Brazil: Mercado LivreTextured fashion covers are allowed for listed categories, excluding Packs. This is a destination rule, not a national casting preference.[7]
Turkey: regulator noticeThe ministry’s 27 July 2026 notice reports AI-character disclosure effective 1 August: “açık, anlaşılır ve ayırt edilebilir şekilde”. The underlying Gazette clause was not recovered; exact scope remains open.[8]
Turkey: TrendyolProduct-create v2 specifies 1200 × 1800 pixels, 96 dpi, HTTPS URLs and at most eight images per barcode. Dimensions do not establish AI eligibility.[9]

Assistant workflow

How do you run this from your assistant?

Proposed workflow: your assistant runs Uwear MCP; your team owns reference permissions, destination checks and publishing.[18][5][6][8]

  1. Approve casting and check account coverage

    Use library avatars or customer references with consent. Verify coverage per account; no body-size, ethnicity or nationality catalog is assumed.[18]

  2. Approve the Product page set brief

    Product page set makes front, upper-body and back white-studio photos plus a 360 video per garment. Review the avatar, art direction and cost in credits before generation.[18]

  3. Send each set to its regional owner

    Your tools route URLs to the right storefront. Regional teams check destination rules, rights and disclosure; apparent features do not certify nationality.[5][6][8][18]

Model wearing the same pleated sleeveless high-neck blouse, full-body back camera edit on the Pure White studio, generated with nano-banana-pro through the Product page set template
Back view from the same Product page set run: a camera edit of the front hero, so the model, light, and studio carry over. Generated with nano-banana-pro through the Uwear MCP.

Run it from your assistant

Run this photoshoot from your AI assistant with a Uwear template.

Connect the Uwear MCP server to ChatGPT, Claude, or Codex and ask for the Product page set template. It is a batch workflow that runs once per garment: front, upper-body, and back product-page shots on a white studio background, plus a 360-degree video, from one garment photo. Any Uwear account can load it by name, and the assistant shows a costed brief in credits before generation starts.

Proposed prompt: adapt the inputs and delivery checks to your own tools. The template returns assets; your team owns final selection and publication.

Copy this prompt into your assistant

Use the Uwear MCP to prepare Product page set for these adult garments and our India, Brazil and Turkey storefront briefs. Show available avatars against the approved references and flag unverified coverage. Use customer references only with consent. Reuse the selected saved art direction for each storefront, with Pure White and nano-banana-pro. Show a costed proposal and wait for approval. Turn the AI reviewer on and return result URLs for regional review. Our tools handle storefront routing; do not publish.

Set up the MCP server

What one run does, per garment

  1. Generate the front hero

    One full-body front photo of the garment on the template model, in the Basic white photoshoot art direction on the Pure White studio location.

  2. Edit to the upper-body crop

    A camera edit that reframes the front result to an upper-body front frame instead of generating a new image, so the crop comes from the same session as the hero.

  3. Edit to the back view

    A second camera edit of the front result to a full-body back frame, so the product page gets the back of the garment from the same session.

  4. Render the 360 turn

    A 5-second Kling 3 Pro video from the front photo: the model turns a slow, full 360 degrees in place, garment readable throughout.

Outputs per garment

  • Full-body front photo, 2K, 2:3
  • Upper-body front photo, 2K, 2:3
  • Full-body back photo, 2K, 2:3
  • 5-second 360-degree video

The setup the template pins

Template kind
Batch workflow: runs once per garment row
System key
demo_full_pdp_test_white_studio
Art direction
Basic white photoshoot (system art direction)
Location
Pure White (system studio location)
Model
The Uwear system model by default; the assistant can swap in one of your saved models when it proposes the brief
Image model
nano-banana-pro, 2K, 2:3
Video model
Kling 3 Pro, 5 seconds
QA
Optional. With the AI reviewer on, each result is checked against the source product photo and flagged results are retried
Approval
The assistant shows a costed brief in credits before anything generates

Pure automation

Run it without an assistant

  1. Run asynchronous generation

    Use REST jobs with polling or webhooks for pure automation. Production Automation can start on garment-processed, tag-added or outfit-created events, with immutable published versions, idempotent runs and upfront credit reservation.[18]

  2. Deliver through your own systems

    Your service maps result URLs to the destination and checks the served assets. Studio is the manual path: select the source photos and setup, then download the results.[18]

Tools that target this job

Documented features from the linked sources. These are not independent quality tests.

  • OnModel

    Directly markets model localization by country for existing on-model photos. A fit for that input type; its positioning does not prove national eligibility.[4]

  • FASHN

    Offers reference-led model creation. A fit for exploring a casting brief; country-specific acceptance was not verified.[19]

Frequently asked questions

Yes. Connect Uwear MCP, supply garment photos and approved references, and request a costed Product page set proposal. Approve it before generation; your tools handle destination delivery.[18]

Check avatar coverage in your account and supply permitted references where needed. A market brief guides casting; appearance does not prove nationality or satisfy a nationality-based rule.[12][18]

A vendor’s output license does not independently establish input consent or territorial rights. Your team must clear references and review each destination’s advertising rules.[5][6][8][17]

Uwear uses credits at $0.10 per credit; rates are on /models. QA is automatic and toggleable: when on, an AI reviewer compares results with source photos and retries flagged results.[18]

Yes. Studio is the manual path: choose source photos, avatar and generation setup, then download results. Your team handles destination formatting, disclosure and publication.[18]

Research

Sources and access dates

  1. [1]
  2. [2]
  3. [3]
  4. [4]
  5. [5]
  6. [6]
  7. [7]
  8. [8]
  9. [9]
  10. [12]
  11. [15]
  12. [17]
  13. [18]
  14. [19]

Next step

Connect your catalog to Uwear.

Start with an assistant-led test, then build the API delivery your catalog needs.

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