class Variables: word = "[WORD]" embodied_subject = "infer from word me…, 图片 1
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class Variables: word = "[WORD]" embodied_subject = "infer from word me…

公开 AI 图像创作记录,包含原图、提示词、使用模型、作者、标签与来源。

使用模型
GPT-Image-2.5
创作者
@Gdgtify
发布时间
Wed Sep 09 16:48:00 +0000 2026
图片数量
1 张

完整提示词

源提示词按原始换行与标点完整保留
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.     '''
高对比单色多分屏优雅画面文字多面板布局平面设计品牌视觉插画极简文生图