社交媒体帖子 - Edge-Aware ASCII Art Conversion

ASCII艺术 · 边缘感知 · 字符渲染 · 终端配色

分类：图像编辑

更新于 2026-10-24T15:55:58.338112477Z

提示词

Apply an ASCII-art rendering effect to the reference image, where the ASCII character density and placement is driven by the underlying tonal contrast and edges of the photo, like a true edge-aware ASCII-art conversion. Dense character clusters follow the natural contours, silhouette lines, and high-detail areas (such as hair strands, fabric folds, and background structure), while flatter, low-contrast areas (such as smooth skin) stay comparatively clean with minimal or no texture. The effect should look like the ASCII characters are tracing the actual shapes and edges present in the photo, not a uniform overlay pasted on top of everything equally. Use a {argument name="terminal color" default="classic green-on-black"} or grayscale terminal character set (@ # % & * + . :), medium overall density, with the original photo still legible underneath.

模型：GPT-6.1-sol
综合：7.9 / 10
提示词质量：8.7 / 10
图片表现：8.4 / 10
图文一致：6.7 / 10
示例图具备较强的时尚人像视觉冲击力，但ASCII效果偏稀疏描边而非中等密度的边缘感知转换，建议强化字符层级与细节覆盖后上线。