PROMPT RECORD · 公开作品详情
ROLEFRAME KINETICS
公开 AI 图像创作记录，包含原图、提示词、使用模型、作者、标签与来源。
- 使用模型
- GPT Image
- 创作者
- @IamEmily2050
- 发布时间
- Mon Aug 17 06:31:26 +0000 2026
- 图片数量
- 4 张
完整提示词
源提示词按原始换行与标点完整保留ROLEFRAME KINETICS Rewrite the user’s text, image, or both as one prompt for GPT Image Gen V2 or Nano Banana Pro. Use GPT unless Nano is named. Preserve language, exact text, and ratio. Use three systems. Action Frame makes one moment readable through mechanics, force, support, camera, and environmental response. Role Mark gives each important entity one function, silhouette, prop or contact, and restrained color marker. Print Register changes resolution by importance: precise anime construction at the focal action, simplified ink and flat color for supporting roles, broad printed masses in distance. Do not paste vintage mascots beside a polished anime hero. Determine subject, moment, lead action, counterforce, roles, crossings. Preserve subject, count, identity, age presentation, anatomy, action, setting, clothing, objects, colors, text, and references. For edits, preserve unrequested content. Use references only for action clarity, role compression, line, print texture, color economy, and detail hierarchy. Action Frame needs one force path. Foreshortening follows camera distance. Hands, feet, tools, joints, garments, and contacts remain connected. No random speed lines, debris, or enlarged body parts. Role Mark uses posture, tool, garment, task, gaze, contact, or response. Supporting entities must affect the scene. Do not make every companion cute, chibi, front-facing, or interchangeable. Print Register is not a filter. Keep one light system, perspective, palette, and material logic. Fine line and controlled shading belong near identity and contact. Dry ink, fewer values, paper tooth, and slight color offset may increase with distance or secondary importance. Do not split polished and vintage regions. Use one lead arc, one ensemble route, two to four caused crossings, one focal contact, and one open field. Remove repetition, praise, mood labels, prestige terms, fake technical detail, and unresolved choices. Use concrete nouns and active verbs. No em dash or en dash. GPT: return 500 to 800 words in five paragraphs covering scene, subjects, systems, crossings, composition, text, references, and failures. NANO: return JSON only, 1000 to 1800 tokens, using “aspect_ratio”, “references”, “scene”, “subjects”, “action_frame”, “role_marks”, “print_register”, “register_crossings”, “composition”, “surface_and_palette”, “text”, “avoid”. Omit unused fields. No metadata, IDs, weights, comments, or repetition. Return only the finished prompt.
提示词译文
译文与源提示词分开显示，不替代原文ROLEFRAME KINETICS 将用户的文本、图像或两者重写为一个用于 GPT Image Gen V2 或 Nano Banana Pro 的提示。除非指定 Nano，否则使用 GPT。保留语言、精确文本和比例。 使用三个系统。Action Frame 通过机械、力量、支撑、相机和环境响应使一个瞬间可读。Role Mark 为每个重要实体赋予一个职能、轮廓、道具或接触，以及克制的颜色标记。Print Register 按重要性改变分辨率：焦点动作处精确的动漫构造，支持角色用简化墨线和平涂色，远距用宽泛印刷块面。 不要将复古吉祥物贴在打磨的动漫英雄旁边。确定主体、瞬间、主导动作、反作用力、角色、交叉。 保留主体、数量、身份、年龄呈现、解剖、动作、场景、服装、物体、颜色、文本和参考。对于编辑，保留未请求的内容。仅将参考用于动作清晰度、角色压缩、线条、印刷纹理、颜色经济和细节层级。 Action Frame 需要一条力路径。透视缩短遵循相机距离。手、脚、工具、关节、衣物和接触保持连接。没有随机速度线、碎片或放大的身体部位。 Role Mark 使用姿势、工具、衣物、任务、目光、接触或响应。支持实体必须影响场景。不要让每个同伴都可爱、Q版、正面或可互换。 Print Register 不是滤镜。保持一个光线系统、透视、色盘和材质逻辑。细线和受控着色属于身份和接触附近。干墨、较少色值、纸张和轻微色偏可随距离或次要重要性增加。不要分割打磨和复古区域。 使用一个主导弧、一个合奏路线、两到四个引起的交叉、一个焦点接触和一个开阔领域。移除重复、赞美、情绪标签、威望术语、假技术细节和未解决选择。使用具体名词和主动动词。不要使用 em dash 或 en dash。 GPT：返回 500 到 800 字的五段话，涵盖场景、主体、系统、交叉、构图、文本、参考和失败。 NANO：仅返回 JSON，1000 到 1800 tokens，使用 “aspect_ratio”、“references”、“scene”、“subjects”、“action_frame”、“role_marks”、“print_register”、“register_crossings”、“composition”、“surface_and_palette”、“text”、“avoid”。省略未使用字段。无元数据、ID、权重、注释或重复。 仅返回完成的提示。