Profile 01
Shopify and DTC brands
Generate more launch, PDP, and campaign variations without increasing shoot overhead every time a new collection drops.
Volume 01 · The Production Issue
The production studio for ecommerce teams that need editorial-quality model photography on a brand-consistent loop — without rebooking models, photographers, or studio time.
4K
Native exports
≈80%
Lower per-image cost
1–7d
Concept to publish
Shopify
Publish workflow
No. 01 — On Production
Loomlr is purpose-built for fashion ecommerce. Real product photographs become the source for editorial-quality model imagery — not text prompts, not stock generators. Reusable identities, saved poses, outfit composition, and Shopify-native publishing let visual consistency compound, campaign over campaign.
Reusable models, poses, and backgrounds
Outfit-level previews before final generation
External review links with comments and decisions
Approved ZIP export presets for Amazon, Shopify, and Etsy
No. 02 — The Method
The traditional cycle
The Loomlr method
Inside the studio
Structured tools for every part of image production.
Plate 01 / 06
Upload the pieces you want to sell, then use them as the visual source for consistent AI-generated imagery.
The Process
01
Use the product images you already have as the source for every new shot.
02
Create models, poses, outfits, and backgrounds you can use again across launches and collections.
03
Combine products into styled outfits and generate outfit previews before moving into final shots.
04
Create new variations, compare results, and use AI edits to improve winning images without restarting the workflow.
By the numbers
Planning ranges for fashion teams replacing per-collection photoshoots. Methodology →
Up to
80%
Lower per-image cost than studio production
Range
300–900
Final images per week, AI-assisted teams
Cycle
1–7d
Concept to publish-ready output
Revision
Same·day
Iteration cycles for approved variants
Review & Approval
Move from generation to client approval without exporting screenshots across tools.
Chapter 01
Create client-friendly links per project with configurable comments, decisions, and expiry settings.
Chapter 02
Reviewers can leave shot-level feedback and decisions without app access, then your team resolves everything in one queue.
Chapter 03
Build downloadable approved ZIPs with naming and export presets for common ecommerce workflows.
Integrations
Native Shopify today. Implementation guide →
Live · Native
On the roadmap
Side by side
Identity drift on the left, a stable visual system on the right.
Generic AI
drift ↗




Loomlr
consistent ↗




Capability matrix
The capabilities production teams need that text-to-image generators can't cover.
Full comparison →Audience
Brands launching seasonal collections, marketplaces scaling listings, and agencies running multi-client visual systems.
Profile 01
Generate more launch, PDP, and campaign variations without increasing shoot overhead every time a new collection drops.
Profile 02
Turn existing product images into more polished listing visuals and styled outfits with a more repeatable workflow.
Profile 03
Give operators and marketers a structured way to produce imagery without depending on full photography cycles for every need.
Profile 04
Create reusable visual systems across multiple brands and move faster between concept, generation, and revision.
Operations
Reorder, cancel, and retry generation jobs while your team keeps producing.
Track completions, failures, comments, and review updates from one notification center.
Monitor credits, usage runway, top-ups, and per-action ledger history without leaving the workspace.
Subscription
Pick a tier that matches your output cadence. Credit calculator →
Plan 01
Free trial, then billed monthly
2000 credits / mo
Recommended
414 € billed yearly
5000 credits / mo
Plan 03
2.094 € billed yearly
27500 credits / mo
Q&A
Answer · 01 / 09
Loomlr is designed around product reference images as core inputs. Unlike text-to-image tools that generate products from descriptions, Loomlr starts from the actual item photograph so that fabric textures, colors, and construction details carry through to the final model shot. This approach helps fashion brands maintain product accuracy across catalog and campaign imagery.
Answer · 02 / 09
Loomlr uses reusable references for models, faces, bodies, poses, outfits, and backgrounds. Teams create these assets once and reuse them across every campaign and collection, building a stable visual system over time. This means your model identity, pose style, and brand aesthetic stay consistent whether you generate 10 images or 1,000, eliminating the inconsistency that comes from switching photographers or studios between shoots.
Answer · 03 / 09
Yes. Loomlr supports outfit creation and outfit previews, allowing teams to combine multiple products into styled looks before generating final images. This is particularly valuable for fashion brands creating lookbooks, seasonal campaigns, and cross-sell imagery where showing complete outfits drives higher conversion than isolated single-item product shots.
Answer · 04 / 09
Loomlr includes a compare-and-refine workflow where you can view generated shots side by side, restore previous setups, and use built-in AI edit tools including crop, transform, and adjust to refine existing outputs. This iterative approach means you improve what's already working rather than starting from scratch, saving both credits and time compared to re-generating from zero.
Answer · 05 / 09
Loomlr is built for team-based production. It includes organization management, team invitations, role-based permissions, external review links where stakeholders can leave shot-level comments and approval decisions without needing app access, and project-based organization that keeps everything structured. This makes it a better fit for marketing teams and agencies than standalone single-user AI image tools.
Answer · 06 / 09
Yes. Loomlr has a native Shopify integration that lets you connect your store, import your product catalog, generate model shots linked to specific products, run review and approval workflows, and publish approved images directly back to linked Shopify products. This end-to-end workflow eliminates the manual export-upload cycle that slows down most ecommerce photography pipelines.
Answer · 07 / 09
Today, Shopify is the native publishing integration. For other channels like Amazon, Etsy, and eBay, you can use Loomlr's approved ZIP export feature with naming and sizing presets configured for each marketplace's image requirements. WooCommerce, Etsy, Amazon, eBay, Printify, Printful, Google Drive, and webhook integrations are on the product roadmap.
Answer · 08 / 09
Traditional product photography typically costs $200–500+ per final image when factoring in model fees, photographer rates, studio rental, styling, and post-production retouching. Loomlr's AI-assisted workflow can produce campaign-ready imagery at a fraction of that cost, with teams reporting up to 80% reduction in per-image costs. The platform also eliminates scheduling overhead — there are no models to book, no studios to reserve, and no multi-day post-production cycles.
Answer · 09 / 09
Loomlr is used by Shopify and DTC fashion brands launching seasonal collections, fashion marketplaces and resellers creating polished listing visuals, lean creative teams that need more imagery than their current photography process can support, and agencies serving multiple ecommerce clients who need reusable visual systems across brands. Any business that sells physical products online and needs model photography at scale can benefit from Loomlr's workflow.

Begin
Start with the product images you already have. Turn them into a reusable visual system — for launches, campaigns, and catalog growth.