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7810f49702
* Implement seek and read for pins Source pins from an mmap is pad because its its a CPU->CPU copy that attempts to fully buffer the same data twice. Instead, use seek and read which avoids the mmap buffering while usually being a faster read in the first place (avoiding mmap faulting etc). * pinned_memory: Use Aimdo pinner The aimdo pinner bypasses pytorches CPU allocator which can leak windows commit charge. * ops: bypass init() of weight for embedding layer This similarly consumes large commit charge especially for TEs. It can cause a permanement leaked commit charge which can destabilize on systems close to the commit ceiling and generally confuses the RAM stats. * model_patcher: implement pinned memory counter Implement a pinned memory counter for better accounting of what volume of memory pins have. * implement touch accounting Implement accounting of touching mmapped tensors. * mm+mp: add residency mmap getter * utils: use the aimdo mmap to load sft files * model_management: Implement tigher RAM pressure semantics Implement a pressure release on entire MMAPs as windows does perform faster when mmaps are unloaded and model loads free ramp into fully unallocated RAM. Make the concept of freeing for pins a completely separate concept. Now that pins are loadable directly from original file and don' touch the mmap, tighten the freeing budget to just the current loaded model - what you have left over. This still over-frees pins, but its a lot better than before. So after the pins are freed with that algorithm, bounce entire MMAPs to free RAM based on what the model needs, deducting off any known resident-in-mmap tensors to the free quota to keep it as tight as possible. * comfy-aimdo 0.2.11 Comfy aimdo 0.2.11 * mm: Implement file_slice path for QT * ruff * ops: put meta-tensors in place to allow custom nodes to check geo
38 lines
509 B
Plaintext
38 lines
509 B
Plaintext
comfyui-frontend-package==1.41.19
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comfyui-workflow-templates==0.9.21
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comfyui-embedded-docs==0.4.3
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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
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filelock
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av>=14.2.0
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comfy-kitchen>=0.2.8
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comfy-aimdo>=0.2.11
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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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