社交媒体帖子 - Edge Aware ASCII Art Conversion

ASCII艺术 · 边缘感知 · 字符渲染 · 照片风格化

分类：图像编辑

更新于 2026-10-24T15:57:10.383461877Z

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 classic {argument name="color scheme" default="green-on-black or grayscale"} terminal character set ({argument name="character set" default="@ # % & * + . :"}), {argument name="density" default="medium"} overall density, with the original photo still legible underneath.

模型：GPT-6.1-sol
综合：8 / 10
提示词质量：8.7 / 10
图片表现：8.5 / 10
图文一致：6.8 / 10
示例图具有较强的时尚视觉冲击力，但字符效果偏向局部绿色描边而非完整的边缘感知 ASCII 转换，建议补足明暗驱动的字符层次后上线。