Layered Paper-cut Couple — Spanish-lettered Preview — ClawLabs AI · MIT

Layered Paper-cut Couple — Spanish-lettered Preview — ClawLabs AI · MIT

Original document

GPT Image 2 · en

Layered paper-cut illustration of a cozy chibi couple, rendered as a papercraft diorama with a handcrafted aesthetic. Technique: multiple stacked paper layers with soft drop shadows between each layer, creating 5 to 7 visible depth planes from foreground to background. Edges are smooth, rounded, and slightly beveled paper-cut edges, with subtle paper grain and fibrous texture visible on all surfaces. Soft, diffused inner shadows sit beneath each layer to suggest physical depth. Character design: chibi, cute, simplified proportions with a large round head and small body at roughly a 1:1.5 ratio; small dot eyes with a glossy highlight; soft circular rosy blush patches on the cheeks; an absent or minimal dot nose; a simple small curved smile; short, rounded, stubby limbs; and a clean, smooth silhouette with no sharp corners. Color palette: warm, cozy, pastel mood using soft cream, dusty rose, sage green, warm peach, sky blue, and honey yellow tones, kept at low-to-medium, muted and gentle saturation, against a warm off-white or soft gradient background. Lighting: soft ambient light from the top-front, with gentle white edge highlights on the top layers and warm light tan or beige shadow tones beneath the cut layers. Environment: simplified rounded leaf and floral shapes built as separate paper layers, curved horizon layers suggesting rolling hills, and tiny decorative paper-cut elements such as stars, small hearts, and dots. Overall mood: warm, whimsical, cozy, handmade, storybook. Render quality: ultra-detailed papercraft art with studio photography lighting and sharp focus on the layer edges.

How to use

  1. Copy the complete original prompt, including any parameters.
  2. Replace the subject, text and composition with your own requirements.
  3. Use a compatible external tool; check its current access conditions and review the result.

Before you start

  • Check whether a reference image is required. A compatible model label does not mean this example was generated with that model.
  • Keep names, figures and visible text accurate; results can vary between model versions.

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