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New Year Card

가족 인사 이미지, 복주머니 일러스트, 한복 새해 인사 카드 등 한국 명절 맞이 감성의 이미지 태그입니다.

2026.07.02

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AI-generated Lunar New Year Family Greeting Image made with GPT Image 2

Lunar New Year Family Greeting Image

GPT Image 2· Immagine
A cozy Korean New Year family greeting image: three-generation family silhouettes in modern hanbok, warm indoor light, rice cake soup table hinted in foreground, tasteful festive decorations, soft cinematic illustration, no readable text, 16:9.
AI-generated Lunar New Year Hanbok Greeting Card made with GPT Image 2

Lunar New Year Hanbok Greeting Card

GPT Image 2· Immagine
Create a clean Korean Seollal greeting card image: warm ivory background, subtle traditional paper texture, elegant hanbok-inspired color palette, plum blossoms, bokjumeoni lucky pouch, gentle sunrise, refined Korean holiday atmosphere, spacious composition for greeting text but do not render any readable text, premium editorial illustration style, 4:5 vertical.
AI-generated Lunar New Year Lucky Pouch Illustration made with GPT Image 2

Lunar New Year Lucky Pouch Illustration

GPT Image 2· Immagine
A polished Seollal holiday illustration featuring colorful bokjumeoni lucky pouches, soft gold accents, traditional Korean patterns, clean cream background, friendly festive mood, vector-like but warm hand-drawn finish, no text, centered composition.

What are New Year Card AI prompts?

New Year Card prompts guide you to produce a precise image framework including specific subject placement, close-focus details, material textures, environment props, lighting dynamics, and direct channel aspect ratio. The main purpose is not just to gather simple style guidelines, but to outline a predictable environment that can be deployed into actual campaigns, product listings, banners, or editing pipelines without unexpected drift. A high-quality prompt defines what the primary focus should be and what must stay in the background margin.

Main use cases

  • 설날 가족 인사 이미지
  • 설날 복주머니 일러스트
  • 설날 한복 새해 인사 카드

Why this tag is useful

New Year Card creations often require strict control over framing to be useful. By standardizing the parameters of your prompt (such as background density, camera lenses, finishing colors, and light distribution) you ensure the generated results can actually be formatted for multi-channel usage without awkward visual cropping. It also allows developers and designers to evaluate multiple stylistic variations safely while preserving the core composition. Rather than relying on random adjective combinations, a structured approach helps the generative model make intentional design choices.

When optimizing a prompt, iterate stepwise by updating one specific key-value parameter at a time. This establishes a clean path for evaluating improvements. For motion-based assets, remember to integrate timing, target movement, camera speed, transition hooks, and ending states to make sure the clip fits nicely into modern social channels. Specific cinematic and visual directives remain the most powerful mechanism for getting the perfect New Year Card output on the first try.

Related prompts to explore

Prompt building tips

  1. Set the exact layout ratio from the beginning to match the target social channel or printing frame.
  2. State the central subject with clear details, then build around it with specific environmental objects, key lights, and background colors.
  3. Add negative parameters to secure your composition and prevent unwanted details such as text distortion, awkward crops, or confusing shapes.
  4. Keep your base sentence and replace only one specific component per test run. This guarantees a safe path toward production-ready New Year Card assets.

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