Social Media Post - Edge Aware ASCII Art Conversion
A technical prompt designed to transform a reference image into an edge-aware ASCII art rendering using specific character sets.
Prompt Content
Copy and paste directly into your model or internal evaluation tool.
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.
Use Cases
Example outputs
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Reference Output
Gallery: https://youmind.com/en-US/nano-banana-pro-prompts?id=31570 Author: Silicon Barbie Original source: Twitter Post
Scoring Rubric
Check whether the image follows the subject, composition, style, aspect ratio, text, and negative constraints; prioritize the visual details explicitly listed in the prompt.
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