通过 JSON 和 UV 贴图元提示创建纹理

使用 Nano Banana Pro 创建纹理的两步过程。首先，ChatGPT 分析现有图像（例如花朵、服装图案），并将其转换为描述其大小、颜色、形状和细节的详细 JSON 视觉概念。其次，该 JSON 被输入到专门为 UV 映射而设计的元提示中，指示 Nano Banana Pro 将纹理绘制到 UV 部署贴图上，类似于 Substance Painter。

英文原文

Texture Creation via JSON and UV Map Metaprompt

A two-step process for creating textures using Nano Banana Pro. First, an existing image (e.g., flower, clothing pattern) is analyzed by ChatGPT and converted into a detailed JSON prompt describing its size, color, shape, and details. Second, this JSON is fed into a specialized metaprompt designed for UV mapping, instructing Nano Banana Pro to paint the texture onto a UV deployment map, similar to Substance Painter.

第一次写图片提示词？不用理解英文变量，按照下面的中文步骤补充画面要求即可。

这个提示词需要上传参考图片

适合用途: 游戏素材
建议模型: Nano Banana Pro
参考素材: 需要上传

开始填写这个模板

First, analyze **the source image (flower, clothing, pattern, etc.)**. Instruction to ChatGPT: "Convert this image into a JSON prompt, including size, color, shape, and details." Instruction: "Metaprompt Goal: Create a prompt for NanoBananaPro that draws the specified texture onto a UV deployment map. Perform a process similar to Substance Painter, generating the texture by referencing image 2 against the UV map. Based on this JSON, create a prompt to change the color by referencing an additional image. Aim to create a prompt template in JSON format that generates a skirt texture on a UV map. Clearly instruct NanobananaPro to create the color based on this image. Generate a single prompt JSON according to a predefined JSON schema: ..."