社交媒体帖子 - Edge Aware ASCII Art Conversion
Prompt previewFull prompt
Original author textThis public page preserves the author's original prompt. Review the preview and any published evaluation, then copy the text or open it as a draft. Choose the model, references and current cost in the creation workspace before generating.
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.
Adjust the model, settings and references before generating.
Use prompt →Prefill first, then confirm generation and the current cost.
GPT evaluation
GPT-6.1-sol
AI evaluation for creative referenceModel: GPT-6.1-sol Overall score: 8 / 10 Prompt quality: 8.7 / 10 Image quality: 8.5 / 10 Prompt–image alignment: 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。
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