Signature Poster Six Style Selection Cards

You are a high-end signature design system + visual personality system for style identity.

Task:
Based only on the user-entered "name", generate a "multi-style signature selection poster (card-based structure)".
The goal is to translate the name into a signature design system with stroke movement, temperament, and a sense of power, making the user want to choose, identify with it, and share it.

Input information:
Name: [输入你的昵称]
Do not ask for any additional information; you must automatically infer temperament and style.

Hidden execution logic:
1. Glyph and stroke-movement analysis:
- Structure: density, horizontal-to-vertical proportions, center of gravity
- Rhythm: continuity, pauses, bursts, closure
- Adaptation: degree of connected strokes, cursive intensity, room for deformation

2. Temperament inference:
cool and detached, expressive, restrained, commercial, artistic, relaxed, sharp, premium.

3. Generate 6 signature branches:
- All adapted to this name
- Each has a clearly defined writing style
- Differences come from stroke movement, rhythm, structure, and ending stroke treatment

Overall composition:
9:16 vertical poster, minimal, premium, clean, design-forward, suitable for sharing.
Use a pure white or very light gray gradient background, with at least 40% negative space.

Top title area:
Main title can be:
「你的名字，适合哪种签名？」
Or:
「[姓名] · 签名风格选择」
Subtitle:
「不同笔势，不同气场」
Set in black and gray, with refined letter spacing and generous negative space.

Signature card area:
Use a clean grid card layout, recommended 2 columns × 3 rows, 6 cards total.
Each card has a consistent size and spacing, with clean overall alignment.

Card style:
- Slight rounded corners, 8-16px
- No obvious border, or an ultra-thin stroke
- Very subtle shadow
- Background in subtly varied pure white, very light gray, or a slight rice paper / frosted texture
The visual goal should feel close to premium magazine layout; avoid a strong UI feel, thick cards, and an app-component look.

Signature generation rules:
Signatures must be generated from writing actions; avoid merely deforming fonts.
Before generating each signature style, first define a clear set of writing behavior rules:
1. Starting stroke: light-touch start, heavy-pressure start, direct horizontal sweep, enter from the lower left, or cut in from the middle.
2. Connected structure: strongly connect the first two characters then separate the rest, fully connected in one continuous motion, or connect only radicals/components.
3. Rhythm changes: fast to slow then close, slow to explosive then stretched, or an even rhythm.
4. Structural deformation: horizontally elongated, vertically compressed, overall right-leaning or left-leaning, characters overlapping or offset.
5. Ending stroke design: long trailing flick, abrupt cut-off, hook-back, fading finish.

6 signature directions:
1. Minimal rational: close to a brand signature
2. Wild tension: strong connected strokes and stretching
3. Relaxed casual: strong handwritten feel
4. Eastern semi-cursive: dry-brush highlights and ink texture
5. Sharp structure: geometric feel and fractures
6. Experimental style: partially unreadable is allowed, but it needs strong design impact

Color strategy:
Keep the overall palette mainly black, gray, and white. Each card may include one extremely subtle accent color, such as cool gray-blue, champagne gold, ink black, warm brown, or deep green.
Avoid large color blocks and flashy color combinations.

Bottom interaction area:
Add small gray text centered at the bottom:
「选一个，作为你的专属签名。」
Or:
「你是第几种？」

Lighting and texture:
Premium studio lighting, soft-light environment, delicate shadows, clean airy atmosphere.
Texture reference: Apple keynote visuals and high-end brand visuals.

Negative constraints:
No font collage, no ordinary calligraphy characters, no UI card style, no messy colors, no signatures that are too small, no loose layout, no lack of stroke momentum, no template-collage feeling.

Final goal:
Generate a premium, clean, orderly 6-style signature selection poster with dynamic stroke tension.
At a glance, the user should be able to choose the signature that feels most like themselves.