Size-Inclusive Imagery at Scale: Cover Every Size with Consistent Styling

Creating truly size-inclusive visuals is no longer optional—it’s table stakes for conversion, trust, and lower returns. The hard part isn’t the intention; it’s the logistics: casting across body types, keeping lighting and framing consistent, and doing it fast enough for weekly drops or retailer timelines. That’s where AI-generated, on-model imagery changes the game.

Why Size-Inclusive Imagery Matters

• Trust & fit clarity: Shoppers want to see their size on models with similar body types, poses, and angles that reveal drape, inseam, and waist details. Consistency across sizes reduces guesswork and returns.
• Speed to market: Seasonal launches, colorway refreshes, and retailer onboardings can’t wait on multi-city casting or studio availability. Brands need same-day image packs.
• Cost control: Line-item costs for casting, studio, location, and retouch add up—especially when repeated for each size range. AI helps redeploy budget to growth.

Common Pitfalls (and How to Avoid Them)

1. Inconsistent styling across sizes
   Fix: lock lighting, camera height, crop, and pose families; generate a matched set for each size range.
2. Token “inclusive” shots
   Fix: plan a persona mix (body type, age, ethnicity) that maps to your actual size curve and regions.
3. Slow turnarounds
   Fix: start from a single packshot or on-figure image, then generate full sets in minutes rather than weeks.
4. Compliance gaps in sensitive verticals (lingerie, swim, kids)
   Fix: follow clear policy gates and approval workflows with an audit trail.

How OnModel Media Works

1. Upload a product photo (flat lay, mannequin, or on-figure).
2. Select model personas by body type and size bands (e.g., XS–XL, 1X–4X), plus poses that surface fit cues.
3. Generate matched image (and short-form motion) sets with uniform styling for PDP and ads—typically in under a minute.

Outputs: Web-ready JPG/PNG and MP4 clips sized to retailer specs and your channels (PDP, collections, paid social). Governance features keep brand-safe defaults and content history.

What “Inclusive at Scale” Looks Like

• Body-type controls & representation goals: Define your persona matrix once; reuse it across colorways and seasons so every new SKU inherits the same inclusive coverage.
• Consistent pose sets for fit cues: Standardize side/three-quarter/front stances that show inseam, rise, drape, and sleeve length.
• Regional personas: Reflect local audiences (e.g., LATAM, EU, APAC) without separate shoots; keep styling consistent globally.
• Retailer-ready templates: Output to spec for Amazon, Walmart, or fashion marketplaces—white-bg primaries plus lifestyle alts.

Real-World Use Cases

• Plus-size & niche-fit brands: Launch size-range expansions with persona mixes that mirror your buying data.
• Lingerie/Swim/Athleisure: Ship inclusive sets with privacy-minded defaults and compliance notes in your workflow.
• Mid-market fashion catalogs: Refresh 100+ SKUs with locked styling for uniform line sheets and PDPs.

Suggested Workflow (Your First 7 Days)

Day 1–2: Pick 5 hero SKUs. Upload a single packshot per SKU → generate XS–XL + 1X–3X matched sets.
Day 3: Approve pose family and crops; export PDP primaries + lifestyle alts.
Day 4–5: Localize personas for your top two regions; clone sets to new colorways.
Day 6–7: A/B test persona mixes on ads; track CTR/ROAS and PDP conversion. Scale winning mixes across catalog.

Quality, Reliability, and Privacy

Photoreal outputs are optimized for PDP clarity and ad performance; your product images are private and aren’t reused for other customers. Audit logs and brand-safe defaults are available for governance.

FAQs

How do we ensure true size representation?
Define target persona bands (e.g., 0–2, 4–8, 10–14, 16–24) and assign consistent pose/angle sets. The system generates matched looks across those bands, keeping lighting and crops uniform.

Will this pass retailer image checks?
Yes—export retailer templates (white-bg primaries + compliant lifestyle alts), then push via your PIM/DAM.

When should we still do live shoots?
Editorial campaigns, complex motion, or new fabric launches may warrant hero shoots. Use AI to cover size ranges, regions, and catalog maintenance in between.

Get Started

• Self-Serve Studio: Upload one product photo and generate inclusive, on-model sets in minutes. Try the Studio.
• Managed Projects: Need catalog-wide coverage, regional personas, or retailer packs? Submit a brief for a tailored plan and quote. Request a quote.

Build inclusive, consistent visuals across every size—without the bottlenecks.