🟢 Interactive Demo · RET-01⏱️ Try in ~2 min

Product Image & Detail Page Generator

1 raw photo → 8 hero images + copy, in 5 minutes.

👉 For
Merchandise operator
😖 Current pain
50 SKUs launched/day; each SKU needs a 3-person team for a full day.
✨ With AI
Full set in 5 minutes; quality matches 80% of manual output.
📜 Customer story

Emma, a fashion-e-commerce merchandise operator, ships 50 SKU launches per day. She uploads one model photo — AI auto-extracts the subject, generates 5 background scenes, 8 hero images, a 30-character SEO title, and 5 selling points. Done in 5 minutes.

🎮 Interactive demo

Real functional demo · auto-plays after case selection
👗 Live Case · New SKU Launch
French Floral Maxi Dress · AURÉLIE (simulated)
AUR-SS26-D102 · $168 · Women 25-35, urban professionals
AUTO-PLAYING
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🔍 Original Photo Analysis

🛠️ CLIP-Large + custom apparel classifier

Identifying product attributes, color palette, style, and target demographic

Original Model Photo (white background)
AI-detected Attributes
CategoryMaxi Dress (sub-category: floral)
Color palette#F4C2C2 / #FFEEE2 / #B9D9EB
StyleFrench Romantic / Cottagecore
SilhouetteA-line, V-neck
PatternBotanical floral print
Target demoFemale 25-40, urban
💡 Strategy Recommendation
French Romantic style ideal for lifestyle photography. Recommend multi-scene shots (office / café / coastal) over plain product cutouts to drive emotional connection.

⚙️ AI processing pipeline

Tech stack, concrete operations and processing time at each step

1

Source image analysis (subject + style)

⏱ 0.8s
🛠️ Tech stack
CLIP-Large + custom apparel-category classifier
📋 Operation

Identifies category (120 sub-categories), dominant color, style (minimal/vintage/sporty/etc.), inferred target demographic.

2

High-precision cutout (Matting)

⏱ 1.5s
🛠️ Tech stack
SAM (Segment Anything) + ModNet portrait matting
📋 Operation

Cuts out product + model with hair-strand-level edge precision; exports transparent PNG.

3

Background scene generation

⏱ 8.2s
🛠️ Tech stack
Stable Diffusion XL + ControlNet + custom scene LoRA
📋 Operation

Generates 5 scenes (office / commute / date / vacation / party) tailored to category; maintains model lighting consistency.

4

Multi-angle completion

⏱ 6.8s
🛠️ Tech stack
IP-Adapter + ReferenceNet multi-view generation
📋 Operation

Generates front / side / back / detail shots from a single view; product silhouette stays consistent; auto-generates size callouts.

5

Copy generation

⏱ 2.4s
🛠️ Tech stack
GPT-4o + brand-style LoRA + platform-style adapter
📋 Operation

Generates title (30-char SEO-optimized), 5 selling points (scenario-based), detail-page copy (800 words, paragraphed).

6

Platform style adaptation

⏱ 0.6s
🛠️ Tech stack
Platform rule engine (Amazon / Shopify / Instagram / TikTok Shop) + auto-layout
📋 Operation

4-platform size adaptation (1080×1080 / 1500×1500); copy-length constraints; SEO keywords injected.

7

Hero-image template application

⏱ 1.2s
🛠️ Tech stack
PIL + custom template-render engine + brand font library
📋 Operation

Applies color palette + fonts + badges + price tags; supports overlay of selling points; outputs JPG/PNG/WebP.

8

One-click export + platform push

⏱ 0.4s
🛠️ Tech stack
Platform OpenAPI integration (Amazon Seller / Shopify API)
📋 Operation

Packages images + copy + detail-page HTML; supports one-click sync to e-commerce backend.

💰 ROI across three dimensions

Itemized indicators across each dimension for a complete view

💰

Financial

Per-SKU cost $115 → $4.30
daily savings $5
500
⏱️

Efficiency

1 day → 5 min
on-time rate 60% → 95%
🏢

Organizational

Team 3 people → 1 AI operator
A/B test cadence weekly → daily

🧩 AI capabilities used

A6Image / Video Understanding· PerceptionD6Image Generation / Editing· GenerationD1Long-form Text Generation· GenerationB2Text Classification· Understanding

Want to deploy in your Retail & Consumer?

Orion 4-12 weeks delivery · on-premise option · fully compliant

Calculate ROI →Delivery process