返回 English 西西提示词
do this for {argument name="animal count" default="3 random animals"} for a {argument name="product" default=… - AI提示词参考图,来自西西提示词

仿生学产品视觉生成提示 AI图片提示词

Prompt

对 {argument name="animal count" default="3 random animals"} 的 {argument name="product" default="shoe"} 进行以下操作:IMAGE = Σ(w_i × β_i) → target render // Σ(w_i) = 1.0 BASIS_DECOMPOSITION FROM {product} + {bio_sources}: β1 : INFER(product_category_aesthetic FROM product.design_language) w = INFER(weight FROM product.visual_identity_strength) β2 : INFER(biological_intelligence FROM bio_sources[].evolutionary_solutions) w = INFER(weight FROM bio_sources[].advantage_significance) β3 : INFER(engineering_translation FROM biomimicry_methodology) w = INFER(weight FROM product.technical_complexity) β4 : INFER(industrial_design_presentation FROM portfolio_aesthetic) w = INFER(weight FROM audience.professional_level) β5 : INFER(educational_diagram FROM design_process_documentation) w = INFER(weight FROM instructional_clarity_need) INTERSECTION_RULES: β[bio] ∩ β[product] = naive_prototype_v1 // literal translation β[bio] ∩ β[engineering] = refined_prototype_v2 // working solution β[v2] ∩ β[product] = final_components // production parts β[presentation] ∩ β[education] = grid_layout // 4-column progression FOR EACH bio_source: col_1 = β[bio] col_2 = β[bio] ∩ β[product] → ❌ failure col_3 = β[bio] ∩ β[engineering] → ✓ success col_4 = β[v2] ∩ β[product] GLOBAL_CONSTRAINT: layout = 4_columns × N_rows (N = count bio_sources) footer = integrated_product (ALL col_4 components combined) style = β[presentation] — clean, white bg, professional OUTPUT_CONSTRAINTS: resolution : 8K landscape render : Octane | industrial_design_board typography : sans_serif | hierarchical | callouts + annotations lighting : INFER(studio_rig FROM β[product]) negative_β : INFER(anti_patterns FROM β1..β5) // TUNING KNOBS: // β[bio]++ → more nature photography, less product renders // β[engineering]++ → more technical diagrams, failure analysis detail // β[presentation]++ → more portfolio polish, less educational scaffolding // β[education]++ → more annotations, process transparency

AI图片内容分析

内容: 多阶段加权生成公式,含基础分解(β1-β5)、交集规则及布局约束,最终输出工业设计展示风格的多列图表。主体+生物源+工程+展示+教育维度,配重调整,4列布局。

优点: 结构化强,可重复使用;仿生学与产品设计结合,创新性强。

缺点: 高度抽象,依赖外部数据,难以直接生成;缺少具体视觉参数,需额外推理。

参考图: 不明显依赖参考图

作者
Gadgetify
类型
图片
比例
16:9
尺寸
1199 × 675
入库时间
2026-06-13

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