Use case · Suits and tailoring

Generate on-model photos of suits and tailoring with the fit points legible

Supply each jacket, trouser and waistcoat with lapel and cuff details. Your assistant loads Product page set, shows the credit estimate, and the AI reviewer compares the fit points with your references.

Set up Uwear MCPCheck model credit rates
Model wearing a linen blazer, 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: linen blazer on the Pure White studio, generated with nano-banana-pro through the Uwear MCP.

Production signals

  • Source photos guide the brief
  • Cost approval before generation
  • Automatic QA, on or off

Mechanism

How does the assistant build the photo set?

Model wearing the same linen blazer, 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.

Ask the Uwear MCP to review the pieces before proposing Product page set. Each camera edit starts from the front result. A coordinated outfit needs its own source references and test.

Workflow

The production loop

  1. Prepare the source views

    Supply front and back flats of each jacket, trouser and waistcoat, plus lapel, cuff, fastening and fabric details. Identify which pieces form each look and show the intended trouser length.[1][2][3]

  2. Approve the proposed template

    Start with Product page set and Basic white photoshoot. Ask the assistant to flag missing views and show the credit estimate before generation.[9][10]

  3. Compare the results

    QA is automatic and toggleable: when on, an AI reviewer compares results with source photos and retries flagged results.[9]

Outcomes

What this unlocks

  • Check jacket and trouser fit separately

    Review shoulder position, lapels, fastening and trouser length against the supplied look. Keep unseen construction outside the image claim.[1][2][3]

  • Check the destination brief

    Zalando’s premium/designer guide requires consistent model presentation, subject to exceptions, and rejects folded articles in its examples. No suit-specific mandatory on-model rule was verified. Its AI/model wording remains unresolved; obtain the retailer’s suit brief.[5][6]

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.

For a separate campaign, propose Instagram drop with Noir Chrome Shadow Studio: three lifestyle photos and a clip per item. A coordinated multi-piece outfit still needs a test.

Copy this prompt into your assistant

Use the Uwear MCP to review my uploaded suit pieces and supplied outfit references. Propose a Product page set with Basic white photoshoot on Pure White, using nano-banana-pro. Identify which pieces and source views each proposed result uses. Flag any unverified coordinated-outfit step. Show the costed brief in credits and wait for approval. Turn the AI reviewer on to compare results with source photos and retry flagged results, then return image and video URLs.

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 is the starting system art direction. For the separate Instagram drop proposal, swap to Noir Chrome Shadow Studio.
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

Frequently asked questions

Supply front and back flats of each jacket, trouser and waistcoat, plus lapel, cuff, fastening and fabric details. Identify which pieces form each look and show the intended trouser length.[1][2][3]

Product page set with Basic white photoshoot on the Pure White studio. The default batch workflow makes front, upper-body and back photos at 2K, 2:3 with nano-banana-pro, plus a 5-second 360 video. The assistant shows a costed brief before approval.[9][10]

No. Suitsupply shows separate jacket and trouser sizes; HUGO BOSS presents a three-piece suit. Charles Tyrwhitt describes internal canvas construction, which a generated image cannot establish. A per-garment template does not prove coordinated outfit handling.[1][2][3][4]

Zalando’s premium/designer guide requires consistent model presentation, subject to exceptions, and rejects folded articles in its examples. No suit-specific mandatory on-model rule was verified. Its AI/model wording remains unresolved; obtain the retailer’s suit brief.[5][6]

QA is automatic and toggleable: when on, an AI reviewer compares results with source photos and retries flagged results. Use the Uwear MCP first. Credits cost $0.10 per credit; see /models for model rates. The REST API is the fallback for pure automation, with polling or callbacks. Studio is the manual path.[9]

NotShot is a fit for evaluating blazer source framing and jacket checks. WearView is a fit for exploring its published business-suit example. Matching trousers and waistcoats, tailoring detail and complete outfits were not tested.[4][12]

Sources and access dates

  1. [1]
  2. [2]
  3. [3]
    HUGO BOSS: three-piece suit

    Accessed 2026-09-07

  4. [4]
    NotShot: blazer workflow

    Accessed 2026-09-07

  5. [5]
  6. [6]
    Zalando: AI and model rules

    Accessed 2026-09-07

  7. [9]
  8. [10]
  9. [12]
    WearView: suit example

    Accessed 2026-09-07

Next step

Map this workflow into your catalog operation.

Start with the use case, then decide whether the right access path is Studio, API, MCP, or a custom enterprise rollout.

Set up Uwear MCPCheck model credit rates