[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-80593":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":13,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":10,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":21,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":25,"readmeContent":26,"aiSummary":27,"trendingCount":15,"starSnapshotCount":15,"syncStatus":28,"lastSyncTime":29,"discoverSource":30},80593,"ComfyUi-Untwisting-RoPE","BigStationW\u002FComfyUi-Untwisting-RoPE","BigStationW","Training-free style transfer for DiT models.","",null,"Python",83,11,51,0,1,13,32,4,3.24,false,"main",true,[],"2026-06-12 02:04:04","# ComfyUi-Untwisting-RoPE (Training-Free Style Transfer)\n\nThis is a ComfyUi implementation of [Untwisting RoPE: Frequency Control for Shared Attention in DiTs](https:\u002F\u002Farxiv.org\u002Fabs\u002F2602.05013)\n\nhttps:\u002F\u002Funtwisting-rope.github.io\u002F\n\n\u003Cimg width=\"1280\" alt=\"Image 4\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fea4b7f49-45b0-4812-845b-0bd58824f27c\" \u002F>\n\n\nYou can see more examples [here](https:\u002F\u002Fgithub.com\u002FBigStationW\u002FComfyUi-Untwisting-RoPE\u002Ftree\u002Fmain\u002FExamples).\n\n## Supported models\n- Z-image and Z-image turbo\n- Anima\n- The whole Flux.2 family\n- The whole Qwen-Image\u002FEdit family\n\n## Installation\n\nNavigate to the **ComfyUI\\custom_nodes** folder, [open cmd](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=bgSSJQolR0E&t=47s) and run:\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FBigStationW\u002FComfyUi-Untwisting-RoPE\n```\nRestart ComfyUI after installation.\n\n## Usage\n\n- Here's [some workflows](https:\u002F\u002Fgithub.com\u002FBigStationW\u002FComfyUi-Untwisting-RoPE\u002Ftree\u002Fmain\u002Fworkflows) for those interested.\n- You also need these custom nodes to make those workflows work.\n\nhttps:\u002F\u002Fgithub.com\u002FBigStationW\u002FComfyUi-Scale-Image-to-Total-Pixels-Advanced\n\nhttps:\u002F\u002Fgithub.com\u002FBigStationW\u002FComfyUi-TextEncodeEditAdvanced\n\nDon't hesitate to consult [the documentation](https:\u002F\u002Fgithub.com\u002FBigStationW\u002FComfyUi-Untwisting-RoPE\u002Ftree\u002Fmain\u002Fdocumentation) to better understand this repository.\n","ComfyUi-Untwisting-RoPE 是一个无需训练即可实现风格迁移的工具，专为 DiT 模型设计。该项目基于 Untwisting RoPE: Frequency Control for Shared Attention in DiTs 的研究，利用 Python 实现了对多种模型（如 Z-image、Anima 和 Qwen-Image\u002FEdit 系列）的支持，通过频率控制来调整共享注意力机制，从而达到风格迁移的效果。它特别适用于图像处理和生成领域，尤其是当需要快速应用不同风格到现有图像上而不想进行额外训练时。用户可以通过简单的安装步骤将其集成到 ComfyUI 中，并结合其他自定义节点使用预设的工作流来实现复杂的功能。",2,"2026-06-11 04:01:19","CREATED_QUERY"]