与「Hero」相关的搜索结果

25 years later, we remember the lives lost, the heroes who ran toward danger, and the spirit of a nation that came together. We remember. We honor. We will never forget. 🇺🇸

25 years later, we remember the lives lost, honor the heroes who answered the call, and stand with all those whose lives were forever changed by September 11, 2001. never forget. 🇺🇸

Comparison between GPT-Images 2.5 vs GPT-Images 2.0 Here's the prompt: "Animate the supplied pixel-art heroine in one continuous 8-second side-view shot. Preserve her exact design, colors, proportions, crisp pixels, and outlines. Lock the camera and pale blue-gray background. Keep her full body near center, facing right, with no more than 25% horizontal travel. From 0–2.5s, run mostly in place with alternating strides and arm pumps. From 2.5–4.5s, perform one two-foot jump and land crouched. From 4.5–6.5s, perform one full forward ground somersault: hands down, tuck, roll over the shoulders, feet over head, and land on both feet. From 6.5–8s, rise into a balanced ready pose. Animate at exactly 6 FPS with 167ms frame holds, normal speed, and no interpolation, blending, optical flow, or blur. On every frame, shift the whole sprite slightly and unpredictably on both axes to create strong constant jitter, especially in the final pose. Only the heroine moves; the camera and background remain still. No cuts, cartwheels, aerial flips, scene changes, text, particles, weapons, duplicates, audio, 3D, color flicker, morphing, or design drift."

81.5K 🌟 Anti-Slop 前端设计品味 Skills Taste Skill - @LexnLin # 13 个 Skill 分两类：代码输出实现、图像生成 1. 代码输出实现类 · taste-skill（默认，v2 实验版）：通用技能，约 1200 行 · taste-skill-v1：旧版保留，供依赖精确行为的用户钉住 · gpt-taste：针对 GPT/Codex 的更严格变体 · image-to-code："先生成参考图 → 分析 → 再写代码"流水线 · redesign：存量项目，先审计再改造 · soft / minimalist / brutalist：三种既定视觉方向（高端柔和 / Notion 式极简 / 工业粗野） · output：强制完整输出，禁止占位符截断 · stitch：输出 Google Stitch 兼容的 DESIGN.md 2. 图像生成 imagegen-frontend-web、imagegen-frontend-mobile、brandkit，用于配合图像模型生成设计参考稿，再交给 Coding Agents 实现 # taste-skill (v2) 的方法论 §0 简报推断：先"读空气"——页面类型、氛围词、参考链接、受众、隐性约束，输出一行 Design Read；歧义时只准问一个问题。核心论点是：LLM 设计差的根源是跳过理解直接套默认审美。 §1 三旋钮配置：DESIGN_VARIANCE（布局实验度）、MOTION_INTENSITY（动效深度）、VISUAL_DENSITY（信息密度），各 1-10，并附"信号 → 数值"推断矩阵和场景预设表。 §2 设计系统映射：简报指向 Fluent / Material / Carbon / Polaris / GOV. UK 等时，必须用官方包而非手写仿造；对玻璃拟态、Bento 等"无官方包的美学"则要求诚实标注为实现近似（如明确声明不存在官方 liquid-glass.css）。 §4 设计工程指令：大量从实测失败中提炼的硬规则——Serif 纪律（禁默认 Fraunces/Instrument Serif）、"LILA 规则"（禁默认 AI 紫）、高端消费品"米色+黄铜"色板禁令及替代色板轮换、Hero 纪律（标题 ≤2 行、副文 ≤20 词）、Eyebrow 标签每 3 个 section 最多 1 个、颜色/圆角/主题三把"一致性锁"等。 §5 动效规范：给出 GSAP Sticky-Stack、横向滚动劫持、Motion 渐显的规范代码骨架，并硬性禁止 window.addEventListener('scroll') 等反模式。 §9 AI 破绽目录 + 破折号全面禁令：编目了数十种"看起来很 AI"的签名式模式（编号 eyebrow、装饰性状态点、div 假截图、"Quietly in use at" 文案等），其中 em-dash 被列为"头号破绽"全面禁用。 §11 改版协议：区分绿地/保留式改版/颠覆式改版，先审计后动手，明确列出"不得静默更改"清单（URL、导航标签、表单字段、品牌标识、法律文案），并指出 SEO 迁移是改版头号风险。 §14 出厂前检查：约 60 项机械化清单，任何一项不过即视为未完成。