[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-77947":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":15,"stars7d":14,"stars30d":16,"stars90d":15,"forks30d":15,"starsTrendScore":15,"compositeScore":17,"rankGlobal":9,"rankLanguage":9,"license":18,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":21,"hasPages":21,"topics":22,"createdAt":9,"pushedAt":9,"updatedAt":23,"readmeContent":24,"aiSummary":25,"trendingCount":15,"starSnapshotCount":15,"syncStatus":14,"lastSyncTime":26,"discoverSource":27},77947,"ComfyUI-LiTo","PozzettiAndrea\u002FComfyUI-LiTo","PozzettiAndrea","ComfyUI wrapper for LiTo: single-image to 3D Gaussian Splat generation (Apple Research, ICLR 2026)",null,"Python",129,14,41,2,0,76,3.53,"Other",false,"main",true,[],"2026-06-12 02:03:45","> [!WARNING]\n> Warning, uses experimental package `comfy-env` to attempt a one click isolated install. Will download and use pixi package manager.\n\nhttps:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fc3ff490b-e0d4-47cc-953b-a2236673e8bf\n\n# ComfyUI-LiTo\n\nComfyUI wrapper for [LiTo](https:\u002F\u002Fapple.github.io\u002Fml-lito\u002F) (Surface Light Field Tokenization), Apple Research's image-to-3D Gaussian Splat generator from ICLR 2026.\n\nSingle RGBA image → 3D Gaussians (~524K splats) capturing geometry + view-dependent appearance (specular highlights, Fresnel reflections). ~4.7s on H100 after compilation.\n\n## Nodes\n\n| Node | Description |\n|------|-------------|\n| **(Down)Load LiTo Model** | Downloads `lito_dit_rgba.ckpt` (~3GB) from Apple CDN to `ComfyUI\u002Fmodels\u002Flito\u002F` |\n| **LiTo Preprocess Image** | Background removal (rembg) + crop\u002Fpad to 518×518 RGBA |\n| **LiTo Image to 3D** | DiT flow-matching sampling + Gaussian decoding |\n| **LiTo Export PLY** | Save Gaussians to standard PLY |\n| **LiTo Preview Point Cloud** | Browser-based 3D preview |\n\n## Workflow\n\n```\nLoadImage → LiToPreprocess → LiToImageTo3D → LiToExportPLY → LiToPreviewPointCloud\n                                  ↑\n                            LiToLoadModel\n```\n\n## Installation\n\nThis pack uses [comfy-env](https:\u002F\u002Fgithub.com\u002FPozzettiAndrea\u002Fcomfy-env) for process isolation — LiTo's heavy dependencies (pytorch3d, gsplat, nvdiffrast, flash_attn, spconv, xformers) run in their own subprocess environment, separate from ComfyUI's host Python.\n\nCUDA wheels resolved automatically from [cuda-wheels](https:\u002F\u002Fpozzettiandrea.github.io\u002Fcuda-wheels).\n\n## License\n\nThe wrapper code follows Apple's [LICENSE](.\u002FLICENSE). The model weights are governed by [LICENSE_MODEL](.\u002FLICENSE_MODEL) (Apple ML Research model license — non-commercial research use).\n\n## Credits\n\n- [LiTo](https:\u002F\u002Fgithub.com\u002Fapple\u002Fml-lito) by Jen-Hao Rick Chang, Xiaoming Zhao, Dorian Chan, Oncel Tuzel (Apple, ICLR 2026)\n","ComfyUI-LiTo 是一个用于将单张RGBA图像转换为3D高斯点云的工具，基于Apple Research的LiTo技术。该项目通过几个关键节点实现从图像到3D模型的生成流程：下载预训练模型、图像预处理（包括背景移除和尺寸调整）、图像转3D、导出PLY文件以及预览点云。它利用了实验性的`comfy-env`包来管理依赖项，并确保与主环境隔离运行，支持自动解析CUDA wheels。此项目特别适用于需要快速将2D图像转换为具备几何结构及视角相关外观特性的3D表示的应用场景，如虚拟现实、增强现实或游戏开发等。","2026-06-11 03:56:16","CREATED_QUERY"]