A Cool-Toned Basketball-Court Fashion Portrait — AI Image Prompt Guide

Retain the reference subject's identity, specify hand and basketball placement, and contrast a cool-toned court setting with the orange ball.
English translation of the public case notes.
Image-to-image case for a full-length fashion portrait on an urban basketball court. Use a facial reference to retain identity, proportions and distinctive features. The visual treatment combines a low viewpoint, distressed denim and cool cinematic grading with an orange basketball accent. Describe identity first, then outfit, stance, hands and ball position; add setting, camera and grading last. Avoid identity drift, malformed fingers, a distorted ball, washed-out skin tone, clipped clothing highlights, excessive HDR, lettering and watermarks. Practical controls: • Specify left hand resting on the ball, right arm hanging down and head tilted down to the right. • Restrict the overall palette to steel blue, graphite grey and silver, with the orange ball as the sole warm focal point. • Preserve denim tears and loose threads, top highlights and skin texture so grading does not erase materials.
Original case notes (Chinese)
⚙️ 稳定复刻|冷调球场时装肖像 复刻路径:文生图 / 图像编辑。 先看它解决了什么:这个案例重点在参考图身份保持与全身姿态控制:服装、手部与篮球位置都写得很细。冷调电影感调色和橙色篮球形成克制对比,适合做运动街头、时装大片和人物海报参考。 参数与约束: 类型:图生图 输入:一张人物参考图,用于锁定面部身份、比例和标志性特征 目标:生成冷调电影感的城市篮球场全身时装肖像 关键词:参考图身份保持 / 城市篮球场 / 全身构图 / 低机位 / 破损牛仔 / 冷调电影感 / 橙色篮球点缀 重点:先限定参考图身份,再写人物服装、站姿、手与篮球的位置,最后补充场景、机位和调色;这种顺序有助于把主体一致性放在首位。 约束:避免身份漂移、手指畸形、篮球形变、肤色被冷调冲淡、服装高光溢出、HDR 过重、文字水印。 💡 最影响结果的三点 • 把“左手搭在篮球、右臂垂落、头向右下倾”写成明确动作链,减少姿态随机性。 • 用钢蓝、石墨灰、银色限定整体色彩,再指定橙色篮球作为唯一暖色焦点。 • 同时要求保留牛仔破损线头、上衣高光和真实肤质,避免电影调色牺牲材质细节。 #GPTImage2 #OpenAI #AI绘画 #城市球场 #冷调电影感 #参考图控脸