mirror of
https://github.com/comfyanonymous/ComfyUI.git
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81f5f84ad6
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>
38 lines
516 B
Plaintext
38 lines
516 B
Plaintext
comfyui-frontend-package==1.45.15
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comfyui-workflow-templates==0.9.98
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comfyui-embedded-docs==0.5.3
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torch
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torchsde
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torchvision
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torchaudio
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numpy>=1.25.0
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einops
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transformers>=4.50.3
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tokenizers>=0.13.3
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sentencepiece
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safetensors>=0.4.2
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aiohttp>=3.11.8
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yarl>=1.18.0
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pyyaml
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Pillow
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scipy
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tqdm
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psutil
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alembic
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SQLAlchemy>=2.0.0
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filelock
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av>=16.0.0
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comfy-kitchen==0.2.10
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comfy-aimdo==0.4.9
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requests
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simpleeval>=1.0.0
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blake3
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#non essential dependencies:
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kornia>=0.7.1
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spandrel
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pydantic~=2.0
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pydantic-settings~=2.0
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PyOpenGL
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glfw
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