◎ CASE / 060◎ AI CREATIVE◎ KR◎ 2025◎ SHIPPED
D2C Fashion Brand
D2C Fashion AI Lookbook
D2C Fashion AI Lookbook
Lookbooks and ad creatives across diverse models, body types, and ethnicities for every drop. 50 variations ready for A/B testing.
ROLE
AI Content Pipeline Development
PERIOD
2025
MARKET
KR
HEADLINE
4× · Online revenue
(01) Challenge · The problem
“Starting point”
A D2C fashion brand needs lookbooks and ad creatives for every drop, but studio shoots cannot cover a diverse range of models, body types, and ethnicities at volume. Lifting ad performance also demanded enough creative variations to A/B test properly.
(02) Solution · How we solved it
“Approach”
Midjourney v7 and Nano Banana 2 generate on-model shots across diverse models, with Krea AI iterating style variations at speed. Runway Gen-4 extends the set into motion ad cuts, delivering 50 test-ready variations for every drop.
(03) System · How it runs
Running on the engine.
INTAKE
DROP BRIEF · PRODUCTS
CREW
LESS
LESS
ORCHESTRATOR
LOOK AGENT
MODEL VARIANTS
AD AGENT
MOTION CUTS
TEST AGENT
AB BATCH
>pipeline · fashion-ai-lookbook · production▌● IN PRODUCTION
Runtime log · Sample run
▌
(04) Outcomes · Results
Proven by numbers.
3×
Online revenue
Online revenue growth driven by diverse, high-volume creative
42
A/B variations
50 test-ready creative variations delivered per drop
Auto
Per-drop generation
A full lookbook and ad set generated by the pipeline for every new collection
(05) Stack · Tools used
Trusted tools only.
01 · AI Generation
- ▸Midjourney v7
- ▸Nano Banana 2
- ▸Runway Gen-4
02 · Iteration
- ▸Krea AI
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START / FREE CONSULT · NDA OK