How to approve AI fashion photos and videos: fabric, fit and detail

Cover image: production by DELFI for Liverpool.

An AI fashion photo is ready for approval when it represents the product accurately, meets its intended use and follows the agreed brand direction. An attractive image is not enough: a changed color, print or length can make it unsuitable for that SKU’s product page.

Start with product attributes

Use the physical garment and references to review color, texture, pattern, seams, fastenings, buttons and finishing. For repeated prints, check both shape and continuity. Do not assume a texture is correct because it looks sharp: sharpness can make an incorrect detail convincing.

Then assess fit and silhouette

Compare sleeve and leg lengths, width, volume, drape and proportions. A pose should not consistently conceal the area a shopper needs to understand. An image may work for a campaign without being sufficient as the main product view.

Visual review does not certify how the garment will fit every shopper. Measurements, sizes and product specifications remain necessary brand information.

Review the entire video sequence

Play the complete file and pause at pose changes. Look for details appearing or disappearing, distorted prints, color shifts and transitions that alter the silhouette. Also check the final crop, text and rights for any included audio.

A useful feedback record

• SKU and version: identify the exact file.
• Observation: describe the mismatch rather than simply saying it feels wrong.
• Reference: identify the image or garment area that supports correction.
• Priority: product error, channel requirement or aesthetic preference.
• Decision: approve, correct or exclude from the agreed scope.

For example: “The seam visible in the reference has disappeared from the right sleeve; retain that finish.” This is more actionable than asking for a more realistic image.

How DELFI applies this process

DELFI includes human quality control and brand validation in production. For photography, you pay for approved photos, not generated photos. Scope and revisions are agreed before starting production from 50 SKUs.

Real production example: DELFI × Liverpool

The following material was produced by DELFI for Liverpool. It illustrates visual direction and deliverables, not measured sales results or a comparison against the original garment.

Explore the source case and more examples

Approval by destination

• PDP: readable product, variant, silhouette and critical detail.
• PLP: consistent framing and readability across SKUs.
• Campaign: clear brand idea and visible product.
• Video: useful movement and continuity throughout the sequence.

Images support observation; composition, measurements and performance need product data.

Approval record

• File, version, SKU and variant:
• Destination and criterion:
• Attribute and reference:
• Difference and severity:
• Correction and owner:
• Decision: approve, correct or exclude.

A pose preference does not have the same priority as an incorrect logo, color or print.

Continue reading

• AI photo feedback template: examples you can adapt
• How to Audit Real Fit in Denim, Tailoring, Knitwear, and Outerwear with AI Photos
• Input mastering checklist: corrections and documentation

For a production service that preserves those details, explore AI clothing photos that preserve logos, prints and fit.

Your next collection

Human review is part of DELFI’s virtual-talent production. A striking asset still needs to explain accurately the product the brand is selling.

What product do you want to promote, and what does its shopper need to see? Use that answer to agree the talent, usage and production scope.