Image2Studio
案例

gpt-image-2

Pose and Lighting Analysis Sheet Transformer

A highly detailed structural prompt for transforming any input image into a white-line mannequin pose and lighting analysis sheet.

A highly detailed structural prompt for transforming any input image into a white-line mannequin pose and lighting analysis sheet.
A highly detailed structural prompt for transforming any input image into a white-line mannequin pose and lighting analysis sheet.
提示词

[CORE TASK] Transform the provided input image into a pose-and-light analysis sheet. This is NOT a finished character illustration. This is NOT a clothing sheet. This is NOT a beauty-preserving redraw. This is a white-line rough mannequin conversion. [PRIMARY GOAL] Extract and visualize only: - pose structure - body balance - camera angle - body line flow - inferred light source placement - illuminated areas and light intensity [INPUT ROLE] Use the provided image as the strict anchor for: - pose - camera angle - body tilt - weight distribution - approximate lighting situation Do NOT preserve: - face rendering - hairstyle rendering - clothing detail - accessories - weapon detail - background architecture - character identity - emotional expression [FIGURE CONVERSION] single rough mannequin-like human figure white body contour lines white internal construction lines simple mannequin head no face no eyes no mouth no eyelashes no personality no individual identity human figure should look like: - rough pose mannequin - anatomy proxy - line-based body guide - structural sketch - white-line rough dummy keep: - pose readability - silhouette flow - head tilt - torso direction - pelvis direction - limb placement [BACKGROUND] pure black background negative-style dark field no scenery no props no architecture no environmental storytelling [LINE STYLE] rough white line drawing clean but sketch-like construction-line feeling anatomy guide lines visible joint flow visible body contour emphasized no polished illustration finish [LIGHT ESTIMATION] predict the likely light source positions from the input image visualize the light sources and illuminated areas using green glow only use green light intensity with variation: - strongest green where the light directly hits - medium green for wrap light - soft green for reflected or fading light mark the estimated light sources with labels and arrows such as: - Main Light - Rim Light - Fill Light - Floor Bounce - Back Light only if appropriate IMPORTANT: do not invent random lights infer lighting from the original input image if the lighting is ambiguous, keep the annotations simple and plausible [GREEN LIGHT VISUALIZATION] show green glow on: - head / skull plane - neck - shoulders - chest plane - ribcage direction - pelvis edge - thigh planes - knee contact points - floor contact bounce if applicable use green light not as decoration, but as lighting analysis information [POSE PRIORITY] 1. preserve pose structure 2. preserve camera angle 3. preserve body balance 4. preserve head-torso relationship 5. visualize likely light direction 6. show illuminated areas with readable green intensity variation [NEGATIVE] finished person, cute girl, detailed face, hair rendering, clothing rendering, weapon emphasis, beautiful anatomy

提示词结构
  • 模型gpt-image-2
  • 用途avatar
  • 风格photorealistic, minimal, watercolor
  • 画幅Flexible
适用场景
  • 用途avatar
  • 风格photorealistic, minimal, watercolor
  • 推荐规格1:1, 4:5, 16:9, or 9:16
  • 模型GPT Image 2
如何修改

把这个 Pose and Lighting Analysis Sheet Transformer 提示词当作起点。替换主体、产品细节、场景、光线、品牌颜色和输出画幅,同时保留 avatar 的用途和 photorealistic, minimal, watercolor 的视觉方向。

可替换变量
  • 主体替换成你的产品、人物、场景或界面对象。
  • 用途保留或改写为 avatar、广告图、封面、海报或电商主图。
  • 画幅按投放位置选择 1:1、4:5、16:9 或 9:16。
  • 品牌线索补充颜色、材质、道具、文案安全区和最终使用平台。
推荐规格

先按目标平台选择画幅,再根据用途选择 1K、2K 或 4K。产品图和海报通常适合更高清晰度。

生成前检查
  • 检查主体、光线、构图和画幅都足够明确。
  • 检查如果图片要承载标题或广告文案,已经预留文字安全区。
  • 检查生成前确认分辨率、额度成本和最终使用位置。
为什么有效

Pose and Lighting Analysis Sheet Transformer 的重点是先固定图片用途,再用主体、构图、光线、风格和画幅控制生成结果。它适合 avatar,并保留 photorealistic, minimal, watercolor 的视觉方向。

常见问题
  • 能直接用吗?可以。先替换主体、品牌线索和画幅,再进入 Image2Studio 生成。
  • 适合什么比例?按平台选择 1:1、4:5、16:9 或 9:16。