ControlNet-v1-1 / requirements.txt
hysts's picture
hysts HF staff
gradio==5.6.0
753523a
# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
absl-py==2.1.0
# via mediapipe
accelerate==1.1.1
# via controlnet-v1-1 (pyproject.toml)
aiofiles==23.2.1
# via gradio
annotated-types==0.7.0
# via pydantic
anyio==4.6.2.post1
# via
# gradio
# httpx
# starlette
attrs==24.2.0
# via mediapipe
certifi==2024.8.30
# via
# httpcore
# httpx
# requests
cffi==1.17.1
# via sounddevice
charset-normalizer==3.4.0
# via requests
click==8.1.7
# via
# typer
# uvicorn
contourpy==1.3.1
# via matplotlib
controlnet-aux==0.0.9
# via controlnet-v1-1 (pyproject.toml)
cycler==0.12.1
# via matplotlib
diffusers==0.31.0
# via controlnet-v1-1 (pyproject.toml)
einops==0.8.0
# via
# controlnet-v1-1 (pyproject.toml)
# controlnet-aux
exceptiongroup==1.2.2
# via anyio
fastapi==0.115.5
# via gradio
ffmpy==0.4.0
# via gradio
filelock==3.16.1
# via
# controlnet-aux
# diffusers
# huggingface-hub
# torch
# transformers
# triton
flatbuffers==24.3.25
# via mediapipe
fonttools==4.55.0
# via matplotlib
fsspec==2024.10.0
# via
# gradio-client
# huggingface-hub
# torch
gradio==5.6.0
# via
# controlnet-v1-1 (pyproject.toml)
# spaces
gradio-client==1.4.3
# via gradio
h11==0.14.0
# via
# httpcore
# uvicorn
hf-transfer==0.1.8
# via controlnet-v1-1 (pyproject.toml)
httpcore==1.0.7
# via httpx
httpx==0.27.2
# via
# gradio
# gradio-client
# safehttpx
# spaces
huggingface-hub==0.26.2
# via
# accelerate
# controlnet-aux
# diffusers
# gradio
# gradio-client
# tokenizers
# transformers
idna==3.10
# via
# anyio
# httpx
# requests
imageio==2.36.0
# via scikit-image
importlib-metadata==8.5.0
# via
# controlnet-aux
# diffusers
jax==0.4.35
# via mediapipe
jaxlib==0.4.35
# via
# jax
# mediapipe
jinja2==3.1.4
# via
# gradio
# torch
kiwisolver==1.4.7
# via matplotlib
lazy-loader==0.4
# via scikit-image
markdown-it-py==3.0.0
# via rich
markupsafe==2.1.5
# via
# gradio
# jinja2
matplotlib==3.9.2
# via mediapipe
mdurl==0.1.2
# via markdown-it-py
mediapipe==0.10.18
# via controlnet-v1-1 (pyproject.toml)
ml-dtypes==0.5.0
# via
# jax
# jaxlib
mpmath==1.3.0
# via sympy
networkx==3.4.2
# via
# scikit-image
# torch
numpy==1.26.4
# via
# accelerate
# contourpy
# controlnet-aux
# diffusers
# gradio
# imageio
# jax
# jaxlib
# matplotlib
# mediapipe
# ml-dtypes
# opencv-contrib-python
# opencv-python-headless
# pandas
# scikit-image
# scipy
# tifffile
# torchvision
# transformers
# xformers
nvidia-cublas-cu12==12.1.3.1
# via
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via
# nvidia-cusolver-cu12
# torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.6.77
# via
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
opencv-contrib-python==4.10.0.84
# via mediapipe
opencv-python-headless==4.10.0.84
# via
# controlnet-v1-1 (pyproject.toml)
# controlnet-aux
opt-einsum==3.4.0
# via jax
orjson==3.10.11
# via gradio
packaging==24.2
# via
# accelerate
# gradio
# gradio-client
# huggingface-hub
# lazy-loader
# matplotlib
# scikit-image
# spaces
# transformers
pandas==2.2.3
# via gradio
pillow==11.0.0
# via
# controlnet-aux
# diffusers
# gradio
# imageio
# matplotlib
# scikit-image
# torchvision
protobuf==4.25.5
# via mediapipe
psutil==5.9.8
# via
# accelerate
# spaces
pycparser==2.22
# via cffi
pydantic==2.9.2
# via
# fastapi
# gradio
# spaces
pydantic-core==2.23.4
# via pydantic
pydub==0.25.1
# via gradio
pygments==2.18.0
# via rich
pyparsing==3.2.0
# via matplotlib
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-multipart==0.0.12
# via gradio
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# accelerate
# gradio
# huggingface-hub
# transformers
regex==2024.11.6
# via
# diffusers
# transformers
requests==2.32.3
# via
# diffusers
# huggingface-hub
# spaces
# transformers
rich==13.9.4
# via typer
ruff==0.7.4
# via gradio
safehttpx==0.1.1
# via gradio
safetensors==0.4.5
# via
# controlnet-v1-1 (pyproject.toml)
# accelerate
# diffusers
# transformers
scikit-image==0.24.0
# via controlnet-aux
scipy==1.14.1
# via
# controlnet-aux
# jax
# jaxlib
# scikit-image
semantic-version==2.10.0
# via gradio
sentencepiece==0.2.0
# via mediapipe
shellingham==1.5.4
# via typer
six==1.16.0
# via python-dateutil
sniffio==1.3.1
# via
# anyio
# httpx
sounddevice==0.5.1
# via mediapipe
spaces==0.30.4
# via controlnet-v1-1 (pyproject.toml)
starlette==0.41.3
# via
# fastapi
# gradio
sympy==1.13.3
# via torch
tifffile==2024.9.20
# via scikit-image
timm==0.6.7
# via controlnet-aux
tokenizers==0.20.3
# via transformers
tomlkit==0.12.0
# via gradio
torch==2.4.0
# via
# controlnet-v1-1 (pyproject.toml)
# accelerate
# controlnet-aux
# timm
# torchvision
# xformers
torchvision==0.19.0
# via
# controlnet-v1-1 (pyproject.toml)
# controlnet-aux
# timm
tqdm==4.67.0
# via
# huggingface-hub
# transformers
transformers==4.46.3
# via controlnet-v1-1 (pyproject.toml)
triton==3.0.0
# via torch
typer==0.13.1
# via gradio
typing-extensions==4.12.2
# via
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# rich
# spaces
# torch
# typer
# uvicorn
tzdata==2024.2
# via pandas
urllib3==2.2.3
# via requests
uvicorn==0.32.0
# via gradio
websockets==12.0
# via gradio-client
xformers==0.0.27.post2
# via controlnet-v1-1 (pyproject.toml)
zipp==3.21.0
# via importlib-metadata