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图像生成案例图
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图像生成案例图

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
分类
创意玩法
模型
GPT Image 2
来源作者
freestylefly
浏览量3
来源 ID
78

使用说明

关于「图像生成案例图」

这条提示词适合做什么?

「图像生成案例图」AI 图片提示词,适用于 GPT Image 2,分类:创意玩法。[CORE TASK] Transform the provided input image into a pose-and-light analysis sheet. This is NOT a finished character…

页面上方提供可复制的完整提示词正文与示例效果图,适合直接用于 AI 图片生成或在 Picva 中一键同款。

如何使用这条提示词

  1. 步骤 1

    打开提示词详情

    查看「图像生成案例图」的示例图、分类与完整 Prompt 文本。

  2. 步骤 2

    复制提示词

    一键复制页面中的提示词正文,或在 Studio 中直接带入。

  3. 步骤 3

    选择模型(GPT Image 2)

    优先使用 GPT Image 2;如切换其他模型,可保留主体与构图,微调风格词。

  4. 步骤 4

    生成并导出

    在 Picva 一键生成同款,或导出到你的工作流继续编辑发布。

常见问题

「图像生成案例图」是什么提示词?
这是一条可用于 GPT Image 2 的图片生成提示词,属于「创意玩法」分类。页面提供完整 Prompt 文本、示例效果图,以及在 Picva 中一键生成同款的入口。
如何使用这条提示词生成图片?
复制页面中的提示词,或点击一键生成 / Studio。可直接粘贴到支持的图像模型,也可在 Picva 中结合参考图生成同款视觉效果。
这条提示词适合哪个模型?
页面标注模型为 GPT Image 2。多数描述型提示词也可迁移到 GPT Image、Flux、Midjourney 等相近图像模型,必要时微调风格与构图词。
可以商用吗?需要注意什么?
提示词文本通常可复制用于创作,但最终图片是否可商用取决于你使用的模型条款、参考图版权以及生成内容本身。请遵守来源作者与平台规则。