# 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