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个人资料 / 头像 - Dreamy Watercolor Countryside Illustration

A prompt to transform photos into whimsical hand-painted storybook illustrations with lush green hills, wildflowers, and a serene coastal path.

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个人资料 / 头像 - Dreamy Watercolor Countryside IllustrationORIGINAL VISUAL / 来源见文末
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它为什么值得进入灵感库

这条内容值得留下的,不是表面的风格词,而是它提供了一条可以继续实验的画面路径。 把一段描述拆成起始状态、动作变化、镜头响应和结束画面,连续性比形容词更重要。

动作与镜头 Prompt

Transform the uploaded selfie into an original dreamy hand-painted countryside storybook illustration while preserving the person's exact facial identity, hairstyle, pose, clothing, accessories, and overall composition. Keep the expression natural and relaxed with a gentle smile, ensuring the person remains instantly recognizable. Render the artwork with soft watercolor textures, delicate pencil linework, warm natural sunlight, lush green hills, colorful wildflowers, a peaceful countryside path, and a serene coastal landscape. Use subtle watercolor shading, soft atmospheric depth, warm earthy tones, and a handcrafted storybook feel. Preserve all clothing details exactly as shown in the original image. Replace the original background with {argument name="background" default="rolling green hills, blooming flowers, a rustic cottage, wooden fences, a winding path, a sparkling blue coastline, fluffy clouds, birds, and drifting flower petals"}. Keep the composition balanced, cinematic, and visually calming. Style: Original cinematic storybook illustration, whimsical countryside fantasy, hand-painted watercolor, soft painterly textures, warm natural colors, elegant 2D artwork, high detail, 4:5 aspect ratio.
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不要一次改完所有变量

用 Kling 复刻时,建议先单独生成稳定首帧,再把动作拆成“开始、变化、收束”三段;每段只保留一个主要运动。

  1. 主体:A prompt to transform photos into whimsical hand-painted storybook illustrations with lush green hills, wildflowers, and a serene coastal path.
  2. 视觉方向:社区实测摄影提示词;按原提示词的光线描述执行
  3. 镜头与构图:按原提示词的镜头与景别执行;按原提示词的构图与画幅执行
  4. 交付约束:auto,遵循原提示词中的避免项;不要水印、乱码、低清、畸形手、错误透视或主体漂移。
负向约束

遵循原提示词中的避免项;不要水印、乱码、低清、畸形手、错误透视或主体漂移。

模型建议

Kling / Seedance / Veo。先用原始 Prompt 建立基准结果,再根据模型对自然语言、镜头运动或文字排版的能力做局部改写。

来源与编辑原则

保留作者,也保留判断。

本页收录公开案例并提供中文索引、结构化拆解和复刻建议,不冒充原作者作品,也不替代原帖上下文。

作者:Selina · 收录于 2026年8月8日

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