{ "text": "上个月,GigHub上出现了一个中文项目,12天拿了4200个star,紧接着登顶GigHub趋势榜全球第一。\n我第一反应是不信。提示词合集能有什么搞头?\nGigHub上这类仓库没有1000也有800。结果它现在18000多star,还在涨。\n这期视频我们就来拆这个项目。\n它叫Awesome GPT Image 2\n作者网名仓和\n自我定位是Prompt as Code\n提示词及代码\n官方描述写着\nGPT Image 2工业级提示词引擎与模板库\n530多个案例逆向工程\n20多套工业级模板\n还提炼出了Agent Skill\n它做的买卖\n一句话能说清\n把散落在社区里的GPT Image 2出图咒语\n逆向拆解再改写\n重新打包成可以填空\n可以复用\n可以为给自动化流程的结构化资产\n要理解这东西为什么能活\n得先从它脚底下那个模型说起\n今年4月21号\nOpenAI发布了GPT Image 2\n官方叫法式ChatGPT Images 2.0\n这个模型有三个变化\n直接决定了提示词工程的价值\n第一个\n它是第一个内置原生推理的图像模型\n以前的图像模型\n你给它一段描述\n它边理解边画\n理解到哪画到哪\nGPT Image\n二把O系列的推理能力塞进了生成流程\n先想清楚布局\n层级\n逻辑关系\n再动笔\n复杂信息图直接受益\n这是质变\n第二个\n文字渲染\n以前AI画图最丢人的就是文字\n海报上的标语\n信息图里的数据\n一出来就是鬼话符\nGPT Image\n二官方给出的数字\n文字准确率从90%提到99%\n还支持多语言\n中文海报\n标题正文都能写对\n我后来拿一张它的案例图\n为给实图模型检查\n对面回了句这张信息图\n应该是设计师用专业工具画的\n它是AI生成的\n第三个\n分辨率最高到2K\n物理仿真和人物一致性也有提升\n同一天\nOpenAI宣布Dolee全面退役\n这三条加起来\n意味着AI画图的应用边界突然扩了一大圈\n以前你只敢让AI画插画\n画风景\n错个细节无所谓\n现在从信息图\n海报\n到UI界面\n电商详情页和模拟社交截图\n这些文字密集\n结构严谨的场景\nAI都碰得动了\n新问题跟着来了\n能不能出图\n解决了\n能不能稳定出图\n可控出图\n可复用的出图\n没有解决\n同一个需求\n你今天写一段\nprompt出图不错\n明天换个说法就拉胯\n想复现别人的好图\n光看成品猜prompt\n能猜到天黑\n市场上所有人的痛感是一致的\n从抽卡玄学到填控工程\n中间缺一套东西\n仓盒的动作很快\n模型4月发布\n它连夜开始收集社区里的优质案例\n整理成库\n到8月底\n登顶趋势榜第一\n来看这个仓库长什么样\n它的内容主体分三层\n第一层\n案例库\n526个案例\nREADME里分成12个大类\n我给你报几个数\nUI和界面类73个\n海报排版类86个\n摄影写实类77个\n插画艺术类58个\n图表信息图53个\n产品电商41个\n品牌标志27个\n网下还有建筑空间\n人物角色\n场景叙事\n历史古风\n文档出版\n各有一批\n每个案例都是一张成品图\n配一段逆向出来的提示词\n第二层\n模板酷\n这是他跟其他提示词合集拉开差距的地方\n作者自己的说法是\n把390多个案例扒了个底朝天\n硬生生提炼出21套工业级提示词母版\n每套母版覆盖一个大类\n长在哪去就能填空的程度\n第三层\nAgent Scale\n整个风格库打包成一个叫GPT Image\nR Style Library的G\n能一行命令装进Clock Code\nCodex\nCursor\nAI助手直接帮你选风格\n套模板\n这个三层结构\n就是Prompt as Code的实际含义\n提示词从一段散文\n变成一个结构化协议\n从主体\n光照\n到材质\n布局\n文案\n拆成一个个可以组合\n可以替换的原子参数\n散文是给人读的\n协议是给程序跑的\n面向的场景也变了\n不只是人肉复制粘贴\n还有agent调用\n批量脚本\n这些自动化工作流\n同一个赛道里\n别加仓库再拼数量\nYouMind那个同类合集1100多条\n另一个1100条起步\n这个仓库500多条\n数量不占优\n但精华部分往模板和scale里沉淀\n堆料和做资产是两种玩法\n光说结构有点虚\n我们拿一个模板出来解剖\n就用UI界面类\n案例最多的场景之一\n它的模板分两种形态\n第一种常规模板\n中文的给人用\n你听这个格式\n为中括号产品类型\n生成一张\n中括号平台\n界面图\n核心功能\n中括号功能点A\n功能点B\n视觉风格极简\n主色中括号颜色\n布局顶部导航\n信息层级清晰\n留白充足\n输出高保真UI截图\n文字清晰可读\n比例9比16\n方括号就是你的填空位\n产品类型\n平台\n功能点\n主色\n布局\n比例\n6个变量\n填完就是一段能直接用的prompt\n第二种\nJSON进阶母版\n给程序用\n文档里明确写着\n推荐给Agent调用\n同样一个健身App界面的需求\n变成一个JSON对象\nType是UI Sprinshot\nPlatform是IOS\nLayout写卡片留加底部标签栏\nStyle里嵌套主题\n主色\n字体\nContent里\nHeader是Today's Activity\nCards是一个数组\n每个元素代标题\n数据\n按钮\n最后\nConstraints写高保真\n文字可读\n9比16\n结构完全对得上\n但形态从自然语言变成了数据\n程序解析JSON比解析散文容易100倍\n这就是它能进自动化流程的原因\n每个大类除了母版\n还附一份B坑指南\n这部分是整个仓库最有味道的地方\n下一节单独讲\n使用路径文档里也写明白了\n三步\n第一步\n去精选案例区逛一圈\n找到你想要的方向\n第二步\n去画廊找相继案例\n先抄结构\n再抄风格词\n第三步\n打开模板页\n把业务变量填进去\n从灵感到成品prompt\n路径被铺平了\nB坑指南\n值得单独讲一节\n因为它是全仓库口语最声猛\n传播力最强的部分\n我挑几条给你听\nUI类第一条\n不要给模糊指令\n原文这么写的\n明确平台\n比例\n布局\n否则模型会像个实习生一样乱排版\n这个比喻准得很\nGPT Image 2是个能力强弹需要明确攻单的实习生\n你给一句做个好看的界面\n它就自由发挥\n第二条\n强制文字锁定\n要求文字绝对可读\n必须显示指定的中文\n避免出现乱码按钮和毫无意义的火星文\n哪怕文字准确率到了99%\n你不锁\n剩下那1%就在你最显眼的地方等着你\n第三条\n我特别喜欢\n截图要区分平台特征\nX有蓝钩认证\n抖音有音乐碟片和点赞动画\n小红书是双列瀑布流\n生成前必须指定平台\n否则模型会混搭\n你想仿个抖音截图\n出来一个蓝钩加瀑布流的缝合怪\n摄影类有几条\n属于反直觉的\nAI画人为什么假\n因为太完美了\n所以要主动加瑕疵\n皮肤纹理\n雀斑这类细节\n再加轻微胶片颗粒\n真实感瞬间拉满\n还有一条\n用参数说话\n写F1.4代替前景深\n写50毫米代替半身照\n大模型吃相机参数这一套\n吃得很准\n历史古风类\n两条保命规则\n明确朝代\n不然大模型给你画出一个穿河服\n拿清朝折扇\n站在唐朝宫殿里的人\n还要强制排雷\n在prompt里写上禁用现代元素\n防止古风美女手里突然多出一杯星巴克\n建筑类就俩字\n视角\n建筑图最容易翻车的是\n透视变形\n写上人掩视角能压住它\n再送一个作弊码\n室外冷光配室内暖光\n空间高级赶立刻出来\n插画类\n慎用大师名\n直接写泛高\n模型容易照搬代表作的构图\n画出来一张假星空\n正确姿势是提取特征\n写旋转笔触\n而不是写名字\n你发现没有\n这些坑权都是实操里采出来的\n没有一条是坐在书房里想出来的\n这份指南本身\n就是社区几个月试错的结晶\n接下来说它的生态布局\n这部分是它登顶趋势榜的另一半答案\n光有内容不够\n这个项目把分发渠道铺满了\n第一\nAgentSkill上了NPM\n一行命令\nNPX Skills Add\n装进Cloud Code\nCodex\nCursor\n第二\nCloud Code插件市场也能搜到\n第三\n作者做了个可视化网站\n按例在线浏览\n登录之后还能测试生成\n第四\nRedmi有中英日多个语言版本\n第五\n投了软一峰的科技爱好者周刊\n组合拳打下来\n加上Addi这些大V在X上转发\n才有12天4200STAR\n登顶趋势榜的爆发\n时间线值得复盘\n4月21号模型发布\n作者当天开始收集\n8月底登顶\n4个月18000STAR\n这个节奏说明一件事\n热点项目的窗口期极短\nGPP Image 2全量开放的那一刻\n所有人都在找提示词\n谁先把散落的案例结构化\n谁就是那个应用百科全书\n这是时机的胜利\n也是执行力的胜利\n12天里保持高频更新\n案例数从300多滚到500多\nStar就跟着滚上去\n讲完好话\n这部分泼点冷水\n有三件事,你用之前最好知道\n第一件,内容来源\n这个仓库的案例,主要来自YouMind和OpenNANA两个社区的公开提示词\n作者做的是逆向工程家AI改写\n仓库里挂着一个徽章,写着100%Original AI Rewritten\nRimi的声明也算坦诚\n参考公开提示词库做学习总结研究,版权归原作\n有意义可以提医术删除\n披露是够了\n但你要明白自己拿到的是什么\n一份逆向家改写过的二手经验集\n原创实验产出谈不上\n第二件商业化浓度\n这个项目带着明显的商业设计\n仓库里有6家API中转站的赞助商位\n作者建了个付费社区\n9块91次性付费\n网站上还有会员制\n5美元300个credits\n我的看法是\n开源和赚钱不冲突\n这是开源可持续的一种路径\n内容本身MIT协议随便用\n但你看到工业集三个字的时候\n心里要清楚\n这是一份经验打包\n不是一份实验报告\n哪些模板真的稳定产出好图\n哪些只是看起来专业\n你得自己上手验\n顺带说一句\n我上一期视频刚拆过一个项目\nLe Flat Less Eye Tone\n人家拿283万字对照语料做统计检验\n26项特征只留11项\n跟那种知识生产方式比\n这个仓库是另一个流派\n快而操\n覆盖广\n靠社区共创滚动迭代\n两种流派没有高下\n但你得知道自己吃的是哪重粮\n第三件\n保质期\n提示词仓库的半衰期很短\n模型每次更新\n旧的技巧就贬值一批\n到13年就退役了\nGPT Image 2的技巧能吃多久\n没人知道\n作者的应对是持续更新\n仓库现在还在动\n这是它目前最大的护城河\n最后给你算笔账\n这东西对谁有用\n你要是经常做自媒体配图\n电商详情页这些需求\n或者活动海报\n或者做PPT\n缺失觉素材\n模板拿来填空\n出图质量的下限直接抬高一截\n何况它免费\n你要是在玩Agent\n想给自动化流程加一个出图环节\nJSON母版加Scale的设计就是给你准备的\n同类仓库里\n这块它做得最顺手\n想学图像Prompt怎么写的人\n把它当案例库翻\n500多个逆向样本\n看多了你自己就会写了\n装法很简单\n异形命令\nNPX Skills at Freestyle Fly-Awesome GPT Image 2\nScale名叫GPT Image 2 Style Library\n或者Cloud Code插件市场直接搜\n最后说说我的整体判断\n这类项目的价值要分两层看\n案例和模板这层是当下好用的工具\n趁热用别供着\n真正值得带走的\n是Prompt as Code这个思路本身\n把模糊的描述拆成原子参数\n散文变成协议\n一次性抽卡变成可复用资产\n这个思路比任何一份具体模板都长寿\n模型换代之后\n它依然成立\n以后你写任何prompt\n图像的\n文本的\n都可以问自己一句\n我写的是一段散文\n还是一份协议\n我是每天跟AI打交道的人\n工具天天换\n思路可以一直攒\n我们下期见", "language": "multilingual", "duration": 955.712, "segments": [ { "start": 5.19, "end": 14.06, "text": "上个月,GigHub上出现了一个中文项目,12天拿了4200个star,紧接着登顶GigHub趋势榜全球第一。", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 14.78, "end": 18.96, "text": "我第一反应是不信。提示词合集能有什么搞头?", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 19.72, "end": 26.4, "text": "GigHub上这类仓库没有1000也有800。结果它现在18000多star,还在涨。", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 27.06, "end": 29.42, "text": "这期视频我们就来拆这个项目。", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 29.42, "end": 32.3, "text": "它叫Awesome GPT Image 2", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 32.3, "end": 33.88, "text": "作者网名仓和", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 33.88, "end": 36.34, "text": "自我定位是Prompt as Code", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 36.34, "end": 37.94, "text": "提示词及代码", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 37.94, "end": 39.86, "text": "官方描述写着", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 39.86, "end": 44.16, "text": "GPT Image 2工业级提示词引擎与模板库", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 44.16, "end": 46.58, "text": "530多个案例逆向工程", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 46.58, "end": 48.54, "text": "20多套工业级模板", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 48.54, "end": 50.62, "text": "还提炼出了Agent Skill", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 50.62, "end": 52.3, "text": "它做的买卖", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 52.3, "end": 53.68, "text": "一句话能说清", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 53.68, "end": 58.12, "text": "把散落在社区里的GPT Image 2出图咒语", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 58.12, "end": 59.88, "text": "逆向拆解再改写", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 59.88, "end": 62.16, "text": "重新打包成可以填空", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 62.16, "end": 63.22, "text": "可以复用", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 63.22, "end": 66.18, "text": "可以为给自动化流程的结构化资产", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 66.18, "end": 69.0, "text": "要理解这东西为什么能活", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 69.0, "end": 71.74, "text": "得先从它脚底下那个模型说起", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 71.74, "end": 73.92, "text": "今年4月21号", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 73.92, "end": 77.02, "text": "OpenAI发布了GPT Image 2", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 77.02, "end": 80.66, "text": "官方叫法式ChatGPT Images 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