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Heroine 16-Grid Expression Reference Design

Heroine 16-Grid Expression Reference Design — explore this gpt-image-2.5 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

Heroine 16-Grid Expression Reference Design — AI image creation
Heroine 16-Grid Expression Reference Design

Prompt

Chinese prompt

使用配置的身份参考图,为同一位女主角制作肖像表情参考设计图。将结果排列在整洁的16 格的屏幕中,每格大小一致,头部比例、相机高度、皮肤表现和中性摄影棚背景保持统一。左上角的面板应为原始图像,不做任何改动,不修图也不改变表情。其余 15 个面板应显示清楚可辨且彼此不同的表情变化,同时保持同一张脸、发型、年龄、服装线索和人物身份一致:放松中性、浅笑、开怀喜悦、忍俊不禁、好奇、专注、轻微惊讶、受惊、担忧、恐惧、悲伤、失望、恼怒、愤怒、坚定和沉思平静。只添加小而不打扰画面的格号,不添加虚构姓名或剧情文字。整个表格都要保持身份参考图一致,避免重复表情、五官变形、额外人物、肢体错误、美颜滤镜漂移和装饰性杂乱。最终画面应像专业的16 格的屏幕参考表,并让左上角原图与其余变化清楚区分。

English prompt

Create a portrait expression reference sheet for one heroine using the configured identity reference. Arrange the result on a clean 16-panel screen with equal cells, consistent head size, camera height, skin rendering, and neutral studio background. The top-left panel should be the original image as is, with no retouching or expression change. The remaining 15 panels should display distinct, readable expression variations while preserving the same face, hairstyle, age, costume cues, and identity: relaxed neutral, gentle smile, broad joy, amused grin, curiosity, attentive focus, mild surprise, startled surprise, concern, fear, sadness, disappointment, irritation, anger, determination, and thoughtful calm. Label the sheet only with small unobtrusive panel numbers; do not add invented names or story text. Keep the identity reference consistent across all panels, avoid duplicate expressions, warped features, extra people, extra limbs, beauty-filter drift, and decorative clutter. The final image must read as a professional 16-panel screen reference sheet and keep the top-left original clearly distinguishable from the variations.

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