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Soft-Light Realistic Premium Portrait Retouch Texture

Soft-Light Realistic Premium Portrait Retouch Texture — explore this gpt-image-2.5 creation on OpenZhenZhen, with its original prompt and a reusable generation example.

Soft-Light Realistic Premium Portrait Retouch Texture — AI image creation
Soft-Light Realistic Premium Portrait Retouch Texture

Prompt

Chinese prompt

将已配置的ref-10a-v1用作一位成年女性的身份参考。在图像模型能力范围内，尽可能保留她可辨识的面部特征与身份；不作数值意义上的绝对一致保证，也不要改变她的面部。以该参考为基础创作一张精致、高级的摄影人像，采用明亮干净的曝光与柔和棚拍光。平衡整体亮度，让面部和眼部呈现自然高光，阴影平滑过渡。 呈现真实肌肤纹理，避免过度磨皮；眼部清晰锐利，发丝自然分明，织物细节细腻。背景干净优雅，景深柔和。采用考究的电影感调色，色彩丰富但自然。整体呈现全画幅单反人像与85mm f/1.8镜头的观感，细节清晰、质感写实；避免卡通化与塑料肌肤。参考图只提供这位女性的身份；不要添加其他人物，也不要虚构参考图中看不到的个人特征。来源样例展示了一对经过修复的夫妇，但其中另一位人物和那张具体受损照片并非此单人身份模板的必需输入素材。相机与分辨率参数仅作风格指导，不保证实际拍摄元数据或像素尺寸。

English prompt

Use configured ref-10a-v1 as the identity reference for one adult woman. Preserve her recognizable facial features and identity as closely as the image model permits; do not promise an exact numerical match or change her face. Create a refined, premium photographic portrait based on this reference, with bright, clean exposure and soft studio lighting. Balance the overall brightness, place natural highlights on her face and eyes, and let shadows fall off smoothly. Render realistic skin texture without over-smoothing, crisp and detailed eyes, natural individual hair strands and finely rendered fabric. Keep the background clean and elegant with soft depth of field. Use polished cinematic color grading with rich but natural colors. Aim for a full-frame DSLR portrait look with an 85 mm f/1.8 lens aesthetic, high detail and photorealism. Avoid cartoon styling and plastic skin. The reference supplies the woman’s identity; do not add another person or invent personal features not visible in the reference. The source example depicts a restored couple, but its extra person and specific damaged photograph are not required input assets for this single-person identity template. Treat listed camera/resolution specifications as stylistic guidance, not guaranteed capture metadata or pixel dimensions.

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