
PROMPT RECORD · 公开作品详情
2x2 网格,为此为 4 位量子物理学家绘制,16:9 :class Visual_Pun_Logo: def __init__(self, …
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
- None
- 创作者
- @Gdgtify
- 发布时间
- Tue Sep 01 03:51:00 +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2x2 grid, do this for 4 quantum physicists, 16:9 : class Visual_Pun_Logo: def __init__(self, subject="[$SUBJECT]", word="[$WORD]"): self. style = "Minimalist flat vector illustration, corporate logo design, pure white background." self.palette = "Limited Pantone spot colors (e.g., navy, red, yellow, flat white)." def apply_gestalt_integration(self): # AI AUTO-INFERENCE: Find the structural edge of [$SUBJECT] structural_boundary = infer_upper_boundary(self.subject) # e.g., The rim of a bowl, the roof of a house # The Morphing Rule integration = f"The letters of the word '{self.word}' physically curve to form the {structural_boundary}. The text IS the object." return integration def semantic_letter_transformation(self): # AI AUTO-INFERENCE: Select ONE letter to become a prop target_letter = select_center_letter(self.word) prop = infer_associated_prop(self.subject) # e.g., noodles, steam, a straw transformation = f"The legs of the letter '{target_letter}' extend downward, seamlessly morphing into {prop} inside the {self.subject}." return transformation render_vector_logo(Visual_Pun_Logo())提示词译文
译文与源提示词分开显示,不替代原文2x2 网格,为此为 4 位量子物理学家绘制,16:9 :class Visual_Pun_Logo: def __init__(self, subject="[$SUBJECT]", word="[$WORD]"): self. style = "Minimalist flat vector illustration, corporate logo design, pure white background." self.palette = "Limited Pantone spot colors (e.g., navy, red, yellow, flat white)." def apply_gestalt_integration(self): # AI AUTO-INFERENCE: Find the structural edge of [$SUBJECT] structural_boundary = infer_upper_boundary(self.subject) # e.g., The rim of a bowl, the roof of a house # The Morphing Rule integration = f"The letters of the word '{self.word}' physically curve to form the {structural_boundary}. The text IS the object." return integration def semantic_letter_transformation(self): # AI AUTO-INFERENCE: Select ONE letter to become a prop target_letter = select_center_letter(self.word) prop = infer_associated_prop(self.subject) # e.g., noodles, steam, a straw transformation = f"The legs of the letter '{target_letter}' extend downward, seamlessly morphing into {prop} inside the {self.subject}." return transformation render_vector_logo(Visual_Pun_Logo())