Nanobanana 快速工程工作流程

用户描述了他们使用自定义工具创建高质量 Nanobanana 视觉概念的工作流程。该过程包括定义主题（例如，穿着溜冰鞋的北极熊和熊猫）、生成初始图像、根据文件名执行详细注释（标记姿势、背景、脸部、服装等部分），最后为最终生成添加构图和颜色信息。这凸显了详细的语言规范对于有效提示的重要性。

英文原文

Nanobanana Prompt Engineering Workflow

A user describes their workflow for creating high-quality Nanobanana prompts using a custom tool. The process involves defining the subject (e.g., polar bear and panda on skates), generating the initial image, performing detailed annotation (labeling parts like pose, background, face, clothing) based on file names, and finally adding compositional and color information for the final generation. This highlights the importance of detailed language specification for effective prompting.

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。

适合用途: 漫画分镜
建议模型: 通用模型
参考素材: 无需上传

开始填写这个模板

① Create a "Polar Bear" and a "Panda" wearing ice skates, and the background location. Normal chat-based input is also OK. Whether you generate it all at once or separately, the process is the same. ② Perform annotation on the image. This is the most troublesome part, so I made it a tool. Based on the file name, I create a prompt that organizes "which part of which image to reference." (Pose / BG / Face / Clothing, etc.) ③ Add supplementary information such as composition and color scheme for the final generation.

① Create a "{argument name="character 1" default="Polar Bear"}" and a "{argument name="character 2" default="Panda"}" wearing ice skates, and the background location. Normal chat-based input is also OK. Whether you generate it all at once or separately, the process is the same. ② Perform annotation on the image. This is the most troublesome part, so I made it a tool. Based on the file name, I create a prompt that organizes "which part of which image to reference." (Pose / BG / Face / Clothing, etc.) ③ Add supplementary information such as composition and color scheme for the final generation.