mirror of
https://git.datalinker.icu/comfyanonymous/ComfyUI
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0e0f1ed5bc
Modern CPUs have native AVX512 BF16 instructions, which significantly improves matmul and conv2d operations. With Bfloat16 instructions UNET steps are 40-50% faster on both AMD and Intel CPUs. There are minor visible changes with bf16, but no avalanche effects, so this feature is enabled by default with new `--use-cpu-bf16=auto` option. It can be disabled with `--use-cpu-bf16=no`. Signed-off-by: Sv. Lockal <lockalsash@gmail.com>
32 lines
431 B
Plaintext
32 lines
431 B
Plaintext
comfyui-frontend-package==1.23.4
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comfyui-workflow-templates==0.1.31
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comfyui-embedded-docs==0.2.3
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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>=4.37.2
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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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py-cpuinfo
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alembic
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SQLAlchemy
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#non essential dependencies:
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kornia>=0.7.1
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spandrel
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soundfile
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av>=14.2.0
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pydantic~=2.0
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pydantic-settings~=2.0
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