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Runflow
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On-Model / Fashion

Fix the most common failure region in AI fashion

Neckline & Collar Fix API

Repair malformed necklines, collars, lapels, and plackets in AI-generated fashion imagery. Reference-guided fix with stitch-line accuracy and symmetric construction.

Launch partners get priority onboarding and credits.

In private testing

Built on Runflow’s Reference Inpainting workflow. Live shortly. Drop your email above to get notified at launch.

Crew, V, polo,
Button-down, mandarin
Stitch-line
Accuracy from reference
Symmetric
Construction enforced
Coming soon
Get notified at launch

How it works

No pipeline to build, no models to configure.

1

Send target + reference garment

POST the AI-generated fashion image plus a reference garment showing the correct collar construction.

2

AI rewrites the collar region

Reference-guided inpainting rewrites the upper-chest region with correct collar type, stitch lines, and symmetry.

3

Get a clean garment

Receive the corrected image, ready for catalog or marketplace delivery.

Targets the highest-failure-rate region

Necklines and collars are where AI fashion imagery breaks first: asymmetric construction, missing stitch lines, malformed lapels. The Neckline & Collar Fix API auto-masks the upper-chest region and rewrites it from a reference garment with the correct construction.

Auto-mask of the upper-chest region
Construction driven by reference, not prompt
Stitch lines, plackets, and seams preserved

Handles every collar type

Crew, V-neck, polo, button-down, mandarin, henley, turtleneck, cowl, off-shoulder. Symmetric and asymmetric constructions both work, though asymmetric collars (notch lapels, wrap necklines) tend to need a closer-matched reference.

All standard collar types supported
Asymmetric constructions handled with closer references
Layered garments work with layered references

Drop-in QA step

Add Neckline & Collar Fix to your AI fashion pipeline as a final QA layer. Cuts the most expensive hand-correction work brand teams do today on AI-generated imagery.

Batch endpoint for catalog-scale jobs
Async webhook delivery
Compatible with any base generation model

Neckline fix for every fashion AI workflow

Garment construction has to be right. This is the layer that gets you there.

AI fashion image platforms

Ship cleaner garments to your users by adding Neckline & Collar Fix as a QA step before delivery. No base-model retraining required.

Apparel brands

Catch and correct collar errors in AI-generated catalog imagery before publish. The hand-correction cost is the largest line item in most AI fashion pipelines.

Virtual try-on platforms

Garments rendered for try-on need correct collar construction or the user notices instantly. Use Neckline & Collar Fix on every output.

Fashion marketplaces

Enforce listing image standards on seller-generated AI imagery with an automated collar-construction check.

Your data stays yours

Images are processed in isolated environments with automatic cleanup. Zero data retention by default.

SOC 2 Type II
ISO 27001· In progress (Q3 2026)
GDPR

SOC 2 Type II compliant.

AES-256 encryptionIsolated processingEU data residency available
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Frequently asked questions

Fix the failure region before it ships.

Neckline & Collar Fix is in private testing. Drop your email and we'll notify you at launch.

Launch partners get priority onboarding and credits.

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