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K-Beauty Brand

K-Beauty Product Visual Suite

K-Beauty Product Visual Suite

100+ visuals across 12 SKUs — models, backgrounds, seasonal looks — generated by AI. One studio shoot's budget covers all four seasons.

ROLE
AI Visual Direction · Prompt Engineering
PERIOD
2025.03 — 2025.04 (4 weeks)
MARKET
KR
HEADLINE
-85% · Shoot cost
(01) Challenge · The problem
Starting point

Launching 12 new SKUs across four seasonal campaigns priced out at $30K+ for model casting, studio rental, and retouching alone. Without enough seasonal cuts, SNS, the homepage, and product pages all looked sparse.

(02) Solution · How we solved it
Approach

Built a Nano Banana 2 + Midjourney prompt library anchored on product packaging photos. Model diversity, seasonal mood, and background variants generated in one click. ComfyUI pipeline normalizes color and lighting; Photoshop AI verifies packaging consistency.

(04) Outcomes · Results

Proven by numbers.

-85%-72%
Shoot cost
Single studio shoot's budget covered all four seasons
100+85+
Visuals shipped
12 SKUs × model / background / season variations
4 seasons3 seasons
Campaign coverage
Spring through winter with consistent tone
+40%+34%
SNS engagement
Weekly fresh cuts lifted average engagement
(05) Stack · Tools used

Trusted tools only.

01 · AI Models
  • Nano Banana 2
  • Midjourney v7
  • Stable Diffusion XL
02 · Workflow
  • ComfyUI
  • Photoshop AI
  • Lightroom
03 · Operations
  • Notion (prompt library)
  • Figma (campaign board)
  • Slack (review)
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