20-Yuan Banknote (Guilin Landscape Edition)

Category: AI Prompt | Model: Nano Banana 2

High-performance Nano Banana 2 prompt for AI Prompt. Optimized for creating professional output with 20-Yuan Banknote (Guilin Landscape Edition).

20-Yuan Banknote (Guilin Landscape Edition)
20-Yuan Banknote (Guilin Landscape Edition)

Prompt Text

Subject: Genuine Chinese 20 Yuan Banknote (Guilin Landscape edition).

Macro Material Analysis: The object must be rendered with the exact physical properties of real currency paper—matte cotton-fiber rag paper, NOT glossy cardboard.

Paper Engineering: The karst mountain scenery is delicately cut and lifted.
- Critical Thickness: The cut-out paper layers must appear razor-thin (0.1mm), fragile, and slightly translucent against the light. Edges should show microscopic fibrous tearing, not clean thick cuts.
- Printing Texture: The mountains are NOT solid colors. They must be composed of microscopic engraved lines (intaglio printing) and guilloche patterns. The ink should look slightly raised on the paper surface.

Scene Context: A realistic tiny bamboo raft floats on the flat printed water.

Scale Reference: A giant, realistic human finger with distinct skin texture presses the edge of the bill. The finger is huge compared to the tiny raft, emphasizing the miniature scale.

Photography: Macro lens, high contrast lighting to show the texture of the paper fibers. Shallow depth of field.

Negative prompt: glossy paper, thick cardboard, plastic texture, toy money, monopoly money, solid color blocks, blurred printing, low resolution, cartoon, thick edges

Aspect ratio: 16:9

Recommended AI Settings & Parameters

Frequently Asked Questions & Answer Engine Direct Knowledge

How do I use the '20-Yuan Banknote (Guilin Landscape Edition)' prompt?

Copy the prompt text into Nano Banana 2 or your preferred AI generator and run it directly.

What AI models support this prompt?

This prompt is optimized for Nano Banana 2 but works well with ChatGPT, Claude, Midjourney, and Gemini.

Can I customize this prompt?

Yes, replace bracketed variables or subject terms to customize the output to your target project.