Jedrzej Kosinski 81f5f84ad6 Cube3D: vendor dependency-free marching cubes, drop scikit-image ... scikit-image was added solely for Cube3D's VAEDecodeCube. Replace it with a vendored, vectorized pure-PyTorch marching cubes (classic Lorensen tables) in comfy/ldm/cube/marching_cubes.py. This is the same algorithm family as upstream cube's default warp.MarchingCubes backend, so geometry is closer to upstream's default than skimage's Lewiner fallback was. Validated against skimage method='lorensen': identical face count and surface (nearest-neighbour distance ~3.8e-6, float precision) on sphere/torus fields. Vertices are welded (shared grid edges interpolate identically) for a clean indexed mesh. requirements.txt no longer needs scikit-image. Amp-Thread-ID: https://ampcode.com/threads/T-019ec361-addb-70d8-a74b-438ce8a1e096 Co-authored-by: Amp <amp@ampcode.com>		2026-06-14 23:44:20 -07:00
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gpt.py	Add native Roblox Cube3D text-to-3D support	2026-06-14 20:21:37 -07:00
marching_cubes.py	Cube3D: vendor dependency-free marching cubes, drop scikit-image	2026-06-14 23:44:20 -07:00
vae.py	Cube3D: vendor dependency-free marching cubes, drop scikit-image	2026-06-14 23:44:20 -07:00