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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
aiofiles==23.2.1
# via gradio
aiohappyeyeballs==2.4.4
# via aiohttp
aiohttp==3.11.11
# via fsspec
aiosignal==1.3.2
# via aiohttp
albucore==0.0.23
# via albumentations
albumentations==2.0.0
# via pnp-diffusion-features (pyproject.toml)
annotated-types==0.7.0
# via pydantic
antlr4-python3-runtime==4.9.3
# via omegaconf
anyio==4.8.0
# via
# gradio
# httpx
# starlette
async-timeout==5.0.1
# via aiohttp
attrs==24.3.0
# via aiohttp
certifi==2024.12.14
# via
# httpcore
# httpx
# requests
charset-normalizer==3.4.1
# via requests
click==8.1.8
# via
# typer
# uvicorn
clip @ git+https://github.com/openai/CLIP.git@dcba3cb2e2827b402d2701e7e1c7d9fed8a20ef1
# via pnp-diffusion-features (pyproject.toml)
diffusers==0.12.1
# via pnp-diffusion-features (pyproject.toml)
einops==0.8.0
# via pnp-diffusion-features (pyproject.toml)
exceptiongroup==1.2.2
# via anyio
fastapi==0.115.6
# via gradio
ffmpy==0.5.0
# via gradio
filelock==3.16.1
# via
# diffusers
# huggingface-hub
# transformers
frozenlist==1.5.0
# via
# aiohttp
# aiosignal
fsspec==2024.12.0
# via
# gradio-client
# huggingface-hub
# pytorch-lightning
ftfy==6.3.1
# via clip
gradio==5.12.0
# via pnp-diffusion-features (pyproject.toml)
gradio-client==1.5.4
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
hf-transfer==0.1.9
# via pnp-diffusion-features (pyproject.toml)
httpcore==1.0.7
# via httpx
httpx==0.28.1
# via
# gradio
# gradio-client
# safehttpx
huggingface-hub==0.27.1
# via
# diffusers
# gradio
# gradio-client
# tokenizers
# transformers
idna==3.10
# via
# anyio
# httpx
# requests
# yarl
imageio==2.36.1
# via pnp-diffusion-features (pyproject.toml)
imageio-ffmpeg==0.5.1
# via imageio
importlib-metadata==8.5.0
# via diffusers
jinja2==3.1.5
# via gradio
joblib==1.4.2
# via scikit-learn
kornia==0.8.0
# via pnp-diffusion-features (pyproject.toml)
kornia-rs==0.1.8
# via kornia
lightning-utilities==0.11.9
# via
# pytorch-lightning
# torchmetrics
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
mdurl==0.1.2
# via markdown-it-py
multidict==6.1.0
# via
# aiohttp
# yarl
numpy==2.2.1
# via
# albucore
# albumentations
# diffusers
# gradio
# imageio
# opencv-python-headless
# pandas
# pytorch-lightning
# scikit-learn
# scipy
# taming-transformers
# torchmetrics
# torchvision
# transformers
nvidia-cublas-cu11==11.10.3.66
# via
# nvidia-cudnn-cu11
# torch
nvidia-cuda-nvrtc-cu11==11.7.99
# via torch
nvidia-cuda-runtime-cu11==11.7.99
# via torch
nvidia-cudnn-cu11==8.5.0.96
# via torch
omegaconf==2.3.0
# via pnp-diffusion-features (pyproject.toml)
opencv-python-headless==4.10.0.84
# via
# pnp-diffusion-features (pyproject.toml)
# albucore
# albumentations
orjson==3.10.14
# via gradio
packaging==24.2
# via
# clip
# gradio
# gradio-client
# huggingface-hub
# kornia
# lightning-utilities
# pytorch-lightning
# torchmetrics
# transformers
pandas==2.2.3
# via gradio
pillow==11.1.0
# via
# diffusers
# gradio
# imageio
# torchvision
propcache==0.2.1
# via
# aiohttp
# yarl
psutil==6.1.1
# via imageio
pydantic==2.10.5
# via
# albumentations
# fastapi
# gradio
pydantic-core==2.27.2
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.19.1
# via rich
python-dateutil==2.9.0.post0
# via pandas
python-multipart==0.0.20
# via gradio
python-slugify==8.0.4
# via pnp-diffusion-features (pyproject.toml)
pytorch-lightning==1.9.0
# via pnp-diffusion-features (pyproject.toml)
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# albumentations
# gradio
# huggingface-hub
# omegaconf
# pytorch-lightning
# transformers
regex==2024.11.6
# via
# clip
# diffusers
# transformers
requests==2.32.3
# via
# diffusers
# huggingface-hub
# torchvision
# transformers
rich==13.9.4
# via typer
ruff==0.9.1
# via gradio
safehttpx==0.1.6
# via gradio
safetensors==0.5.2
# via transformers
scikit-learn==1.6.1
# via pnp-diffusion-features (pyproject.toml)
scipy==1.15.1
# via
# albumentations
# scikit-learn
semantic-version==2.10.0
# via gradio
setuptools==75.8.0
# via
# imageio-ffmpeg
# lightning-utilities
# nvidia-cublas-cu11
# nvidia-cuda-runtime-cu11
shellingham==1.5.4
# via typer
simsimd==6.2.1
# via albucore
six==1.17.0
# via python-dateutil
sniffio==1.3.1
# via anyio
starlette==0.41.3
# via
# fastapi
# gradio
stringzilla==3.11.3
# via albucore
taming-transformers @ git+https://github.com/CompVis/taming-transformers.git@3ba01b241669f5ade541ce990f7650a3b8f65318
# via pnp-diffusion-features (pyproject.toml)
text-unidecode==1.3
# via python-slugify
threadpoolctl==3.5.0
# via scikit-learn
tokenizers==0.21.0
# via transformers
tomlkit==0.13.2
# via gradio
torch==1.13.1
# via
# pnp-diffusion-features (pyproject.toml)
# clip
# kornia
# pytorch-lightning
# taming-transformers
# torchmetrics
# torchvision
torchmetrics==1.5.2
# via pytorch-lightning
torchvision==0.14.1
# via
# pnp-diffusion-features (pyproject.toml)
# clip
tqdm==4.67.1
# via
# clip
# huggingface-hub
# pytorch-lightning
# taming-transformers
# transformers
transformers==4.48.0
# via pnp-diffusion-features (pyproject.toml)
typer==0.15.1
# via gradio
typing-extensions==4.12.2
# via
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# lightning-utilities
# multidict
# pydantic
# pydantic-core
# pytorch-lightning
# rich
# torch
# torchvision
# typer
# uvicorn
tzdata==2024.2
# via pandas
urllib3==2.3.0
# via requests
uvicorn==0.34.0
# via gradio
wcwidth==0.2.13
# via ftfy
websockets==14.1
# via gradio-client
wheel==0.45.1
# via
# nvidia-cublas-cu11
# nvidia-cuda-runtime-cu11
yarl==1.18.3
# via aiohttp
zipp==3.21.0
# via importlib-metadata
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