Warning
Warning, uses experimental package comfy-env to attempt a one click isolated install. Will download and use pixi package manager.
applesplat.mp4
ComfyUI wrapper for LiTo (Surface Light Field Tokenization), Apple Research's image-to-3D Gaussian Splat generator from ICLR 2026.
Single RGBA image → 3D Gaussians (~524K splats) capturing geometry + view-dependent appearance (specular highlights, Fresnel reflections). ~4.7s on H100 after compilation.
| Node | Description |
|---|---|
| (Down)Load LiTo Model | Downloads lito_dit_rgba.ckpt (~3GB) from Apple CDN to ComfyUI/models/lito/ |
| LiTo Preprocess Image | Background removal (rembg) + crop/pad to 518×518 RGBA |
| LiTo Image to 3D | DiT flow-matching sampling + Gaussian decoding |
| LiTo Export PLY | Save Gaussians to standard PLY |
| LiTo Preview Point Cloud | Browser-based 3D preview |
LoadImage → LiToPreprocess → LiToImageTo3D → LiToExportPLY → LiToPreviewPointCloud
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LiToLoadModel
This pack uses comfy-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.
CUDA wheels resolved automatically from cuda-wheels.
The wrapper code follows Apple's LICENSE. The model weights are governed by LICENSE_MODEL (Apple ML Research model license — non-commercial research use).
- LiTo by Jen-Hao Rick Chang, Xiaoming Zhao, Dorian Chan, Oncel Tuzel (Apple, ICLR 2026)