hyp4thi4 / pyproject.toml
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Upload LCM T2I project files and uv.lock (excluding local hf-model weights & venv)
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[project]
name = "valiant-hypatia"
version = "0.1.0"
description = "LCM T2I on localhost"
requires-python = "==3.11.*"
dependencies = [
"accelerate==1.15.0",
"annotated-doc==0.0.5",
"anyio==4.15.1",
"certifi==2026.10.19",
"charset-normalizer==3.5.2",
"click==8.5.0",
"colorama==0.4.6",
"diffusers==0.41.0",
"filelock==4.2.4",
"fsspec==2026.9.0",
"h11==0.16.0",
"hf-xet==1.7.0",
"httpcore==1.0.9",
"httpx==0.28.1",
"huggingface-hub==1.33.0",
"idna==3.20",
"importlib-metadata==9.0.1",
"jinja2==3.1.6",
"markdown-it-py==4.2.0",
"markupsafe==3.0.4",
"mdurl==0.1.2",
"mpmath==1.3.0",
"networkx==3.6.1",
"numpy==2.4.6",
"packaging==26.3",
"peft==0.21.2",
"pillow==13.0.0",
"psutil==7.2.2",
"pygments==2.21.0",
"pyyaml==6.0.3",
"regex==2026.9.29",
"requests==2.34.2",
"rich==15.0.0",
"safetensors==0.8.0",
"shellingham==1.5.4",
"sympy==1.14.0",
"tokenizers==0.23.3",
"torch==2.14.1+cpu",
"tqdm==4.70.1",
"transformers==5.20.2",
"typer==0.27.3",
"typing-extensions==4.16.0",
"urllib3==2.8.0",
"zipp==4.1.1",
]
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
[tool.uv.sources]
torch = { index = "pytorch-cpu" }