产品植入生活方式图像生成
一套通过参考详细视觉风格 JSON，创建人物手持特定产品且风格一致的生活方式图像的工作流。
gpt-image-2 · 产品 · 产品营销 · 人像 / 自拍 · 摄影 · 电商主图
中文提示词
分析这张照片，并提供一份非常详细的 JSON 提示词来描述其视觉风格。请务必详细拆解色彩分级、光照以及照片中的所有确切颜色，以便我能将这种外观应用到我自己的图像中。使用此 JSON 作为参考，生成一个手持我产品的人物。保持相同的面部特征。
原始提示词
“using this json as reference, generate a person holding my product [attach product image]” > GPT-Image 2.5 generates the photo with that person holding your product compare it with a version generated without the reference and look at the difference in the lighting and color grading > save the generated character photo you’re happy with as your reference > for future generations, attach the character photo each time and ask it to preserve the same facial features now you have a reference character you can use across multiple product photos you can also iterate the base json prompt and chat back and forth with GPT-6 Astra based on what you want, then repeat the same process.. i like this because it gives you much more direction over the color grading instead of leaving everything up to the model the basic colours and grainy look are some of the things that can make an image feel AI-generated, so pay attention to those when comparing your results this is how you can start building a library of high quality ugc images around your own products the json gives GPT-Image 2.5 the lighting and color direction, your character reference helps with consistency, and you control the product placement once you have that starting point, you can keep creating variations without writing everything from scratch GPT-Image 2.5 Sunburst & Flare are available on Higgsfield. try this with your own product and reference images there