以下是针对Stable Diffusion 3文生图模型的人物写真Prompt的设计方法论,结合摄影原理与AI生成特性,精准捕捉人物美感:


一、核心美学要素构建

  1. 黄金比例构图
    • 采用rule of thirds构图法:portrait of a woman:1.2, (three-quarters profile:0.9), (face centered in upper third:1.1) • 动态平衡示例:sitting on wooden bench, (left hand touching chin:0.7), (right leg crossed:0.6), (flowing hair:1.3)
  2. 光影美学公式
    • 伦勃朗光:Rembrandt lighting, (soft rim light:0.8), (gentle shadow on collarbone:1.2) • 电影级布光:cinematic three-point lighting, (volumetric dust particles:0.7)



二、人物特征强化策略
3. 五官特写模块

(almond-shaped eyes:1.4) with (catchlights:0.9), 
(defined jawline:1.2) contrasting with (soft cheekbones:0.8), 
(smile showing dimples:0.7), 
(glossy lips:1.3) with (lipstick sheen:0.6)
  1. 皮肤质感处理
    • 写实皮肤:hyper-detailed skin texture, (subsurface scattering:1.1), (pore-level details:0.9) • 艺术化处理:oil painting skin texture with visible brushstrokes, (velvet skin:0.7)



三、风格化表达技巧

  1. 跨媒介融合
    • 摄影级写实:
    8k Hasselblad X2D sample, (film grain:0.6), (dynamic range:1.3)

• 插画美学:watercolor paper texture overlay, (cel-shading:0.8), (ink wash details:0.7)


  1. 情绪氛围营造
    • 温柔气质:soft focus effect, (pastel color grading:1.2), (gentle bokeh:0.9) • 神秘气质:dramatic chiaroscuro lighting, (smoke haze:0.7), (vintage film filter:0.6)



四、SD3专属优化方案

  1. 多模态控制
ControlNet提示:
full-body skeleton pose (sitting:1.2)

主提示:
(exotic dancer:1.3) in motion capture suit, 
(intricate feather costume:0.9), 
(motion blur:0.7) on (neon-lit stage:1.1),
unreal engine 5 nanite details
  1. 动态美学参数
    • 渐变表情:[smile intensity:0.3→0.8] • 时空转换:time-lapse transition from dawn to dusk:0.6



五、实战案例模板
日系清新人像

(japanese idol:1.4), (soft pastel background:0.9), (spring cherry blossom:0.7), (wind-blown hair:1.2), (delicate freckles:0.8), (film simulation:1.3), (exposure:0.6), (sharp focus on eyes:1.1)

复古胶片质感
(1950s pin-up style:1.3), (vintage red lipstick:0.9), (curler waves:1.2), (silk robe texture:0.8), (kodak portra 400 film:1.1), (70s studio lighting:0.7)


六、避坑指南

  1. 权重平衡公式
    (主体特征:1.2) + (环境特征:0.8) + (风格修饰:0.6) = 2.6(总权重建议不超过3.0)
  2. 负面提示组合
    nsfw, deformed fingers, (worst quality:1.4), (blurry face:1.3), (extra limbs:1.2), (text errors)
  3. 迭代参数建议
    • 基础步数:25-30步(人像细节收敛) • 采样器:DPM++ 2M Karras(平衡速度与质量) • 分辨率:768x1152(竖版人像最佳比例)


建议配合ComfyUI工作流进行模块化测试,通过节点可视化调整各要素权重。最新SD3对中文提示词理解提升显著,可尝试混合中英文描述获得更精准结果(例:(水墨晕染效果:1.2)ink diffusion effect)。