class Variables: word = "[WORD]" embodied_subject = "infer from wor…

GPT-Image-2.5 · @Gdgtify · Wed Sep 09

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class Variables: word = "[WORD]" embodied_subject = "infer from word meaning, sound, cult…
color_palette · high-contrastcolor_palette · monochromecomposition · multi-panelmood · elegantquality_flags · embedded-textquality_flags · multi-panel-layout

提示词(原文,逐字保留)

class Variables: word = "[WORD]" embodied_subject = "infer from word meaning, sound, culture, action, or emotional tone" style = "minimal black ink kinetic AI inferred wordmark" class WordDNA: meaning = "infer core concept, movement, emotion, object, role, or discipline" letters = "analyze shapes of each letter in WORD" rhythm = "infer visual tempo: graceful, explosive, calm, sharp, flowing, heavy, playful" icon_potential = "infer what figure or symbol belongs naturally to the word" class LetterformSystem: structure = "keep the word readable" transformation = "turn selected strokes into body or symbolic parts" flow = "connect letters with sweeping brush lines" hierarchy = "largest strokes support both typography and silhouette" class EmbodiedSubject: pose = "infer expressive gesture from WORD" anatomy = "head, torso, limbs, tool, tail, fabric, wings, or aura derived only from letter strokes" integration = "subject is inside the typography, not pasted on top" motion = "use AI inferred style arcs to imply movement" class InkRendering: material = "AI infers" stroke_quality = "pressure variation, taper, dry brush, feathering, confident curves" finish = "logo-ready, elegant, minimal, high contrast" def render(): return ''' Render [WORD] as a single integrated AI inferred style word-figure mark: readable typography fused with an inferred subject silhouette, all created from expressive black brush strokes and clean negative space. '''

中文译文

class Variables: word = "[WORD]" embodied_subject = "infer from word meaning, sound, culture, action, or emotional tone" style = "minimal black ink kinetic AI inferred wordmark" class WordDNA: meaning = "infer core concept, movement, emotion, object, role, or discipline" letters = "analyze shapes of each letter in WORD" rhythm = "infer visual tempo: graceful, explosive, calm, sharp, flowing, heavy, playful" icon_potential = "infer what figure or symbol belongs naturally to the word" class LetterformSystem: structure = "keep the word readable" transformation = "turn selected strokes into body or symbolic parts" flow = "connect letters with sweeping brush lines" hierarchy = "largest strokes support both typography and silhouette" class EmbodiedSubject: pose = "infer expressive gesture from WORD" anatomy = "head, torso, limbs, tool, tail, fabric, wings, or aura derived only from letter strokes" integration = "subject is inside the typography, not pasted on top" motion = "use AI inferred style arcs to imply movement" class InkRendering: material = "AI infers" stroke_quality = "pressure variation, taper, dry brush, feathering, confident curves" finish = "logo-ready, elegant, minimal, high contrast" def render(): return ''' Render [WORD] as a single integrated AI inferred style word-figure mark: readable typography fused with an inferred subject silhouette, all created from expressive black brush strokes and clean negative space. '''

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