Description
📌 Source: X/Twitter · Creator: Gadgetify
About this prompt
一种独特的结构化提示词，用于通过参数化逻辑风格生成双重解读的负空间海报。
Poster
参数化视错觉海报
一种独特的结构化提示词，用于通过参数化逻辑风格生成双重解读的负空间海报。
✦ Prompt
2x2 grid, do this for ai inferred figures and colors: python_scene_graph :: parametric_optical_illusion class variables: topic = "{argument name="topic" default="[topic]"}" duality = "infer opposing or layered meanings" primary_silhouette = "infer dominant readable outer shape" hidden_image = "infer secondary image from negative space" symbols = "infer minimal supporting symbols" palette = "infer 2-4 colors from mood" style = "minimalist negative-space poster" class composition: first_read = variables.primary_silhouette second_read = variables.hidden_image rule = "both images must share edges and contours" density = "low detail, high clarity" class shapelogic: black_shapes = "define primary silhouette" white_or_color_voids = "define hidden image" intersections = "designed so both readings remain intentional" class render: camera = "flat poster view" texture = "subtle paper grain optional" lighting = "none; graphic design clarity" output = "clean optical metaphor poster" def generate(): return "render {argument name="topic" default="[topic]"} as a dual-read negative-space image with no hard-coded symbols."
| Model | Unknown |
|---|---|
| Language | English |
| Source | X/Twitter |
| Creator | Gadgetify |
| Collected | August 18, 2026 |
Try the prompts using this demo:
2x2 grid, do this for ai inferred figures and colors: python_scene_graph :: parametric_optical_illusion class variables: topic = "{argument name="topic" default="[topic]"}" duality = "infer opposing or layered meanings" primary_silhouette = "infer dominant readable outer shape" hidden_image = "infer secondary image from negative space" symbols = "infer minimal supporting symbols" palette = "infer 2-4 colors from mood" style = "minimalist negative-space poster" class composition: first_read = variables.primary_silhouette second_read = variables.hidden_image rule = "both images must share edges and contours" density = "low detail, high clarity" class shapelogic: black_shapes = "define primary silhouette" white_or_color_voids = "define hidden image" intersections = "designed so both readings remain intentional" class render: camera = "flat poster view" texture = "subtle paper grain optional" lighting = "none; graphic design clarity" output = "clean optical metaphor poster" def generate(): return "render {argument name="topic" default="[topic]"} as a dual-read negative-space image with no hard-coded symbols."
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