[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-70978":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":9,"pushedAt":9,"updatedAt":26,"readmeContent":27,"aiSummary":28,"trendingCount":15,"starSnapshotCount":15,"syncStatus":29,"lastSyncTime":30,"discoverSource":31},70978,"DALL-E","openai\u002FDALL-E","openai","PyTorch package for the discrete VAE used for DALL·E.",null,"Python",10856,1875,221,62,0,3,7,8,9,80.12,"Other",false,"master",true,[],"2026-06-12 04:00:58","# Overview\n\n[[Blog]](https:\u002F\u002Fopenai.com\u002Fblog\u002Fdall-e\u002F) [[Paper]](https:\u002F\u002Farxiv.org\u002Fabs\u002F2102.12092) [[Model Card]](model_card.md) [[Usage]](notebooks\u002Fusage.ipynb)\n\nThis is the official PyTorch package for the discrete VAE used for DALL·E. The transformer used to generate the images from the text is not part of this code release.\n\n# Installation\n\nBefore running [the example notebook](notebooks\u002Fusage.ipynb), you will need to install the package using\n\n\tpip install DALL-E\n","该项目是DALL·E所使用的离散VAE的官方PyTorch实现。其核心功能在于提供了一套用于训练和使用该VAE模型的工具包，支持用户通过文本生成图像中的编码部分，但不包含从文本直接生成图像的Transformer模型。技术上，它基于Python语言开发，便于研究人员及开发者探索和扩展相关领域的工作。适用于需要进行图像编码解码研究、或是对DALL·E背后技术感兴趣的场景中使用。",2,"2026-06-11 03:35:15","high_star"]