how to create environment

[mattiasospetti-medinnovations]

as title suggests: has any of you any idea on how to properly create a conda env for this repository?
The environment.yaml is outdated (some packages versions are from 2020).

[cowboy446]

Hey! I just had it run successfully in a conda env for stable-diffusion, whose PyTorch version is 2.8.0+cu128 (I manually configured instead of following outdated guides and other package versions in stable-diffusion's repo).
Two projects are alike since ControlNet is designed on stable-diffusion. Maybe you can try to deploy stable-diffusion first and directly conda activate sd and run ControlNet there.
By the way, I actually failed to launch controlnet's GUIs based on gradio(maybe that's my fault), so I rewrote scripts not in GUI loop but simply to interact in bash. That's how it worked.

[YuanMingGZ]

Hi there! I can run normally with this environment (there might be some unnecessary libraries), but the code needs to be modified. Torch is 2.4.1 cu121. Hope this helps you!

Modified code:
Add: , strict=False
model.load_state_dict(load_state_dict('./models/control_sd15_canny.pth', location='cuda'), strict=False)

Delete: .queue()
block = gr.Blocks()【.queue()】<--delete this

environment202511.yml

environment.yaml：
channels:

• defaults
  dependencies:
• _libgcc_mutex=0.1=main
• _openmp_mutex=5.1=1_gnu
• ca-certificates=2025.11.4=h06a4308_0
• ld_impl_linux-64=2.44=h153f514_2
• libffi=3.4.4=h6a678d5_1
• libgcc=15.2.0=h69a1729_7
• libgcc-ng=15.2.0=h166f726_7
• libgomp=15.2.0=h4751f2c_7
• libstdcxx=15.2.0=h39759b7_7
• libstdcxx-ng=15.2.0=hc03a8fd_7
• libxcb=1.17.0=h9b100fa_0
• libzlib=1.3.1=hb25bd0a_0
• ncurses=6.5=h7934f7d_0
• openssl=3.0.18=hd6dcaed_0
• pthread-stubs=0.3=h0ce48e5_1
• python=3.8.18=h955ad1f_0
• readline=8.3=hc2a1206_0
• setuptools=75.1.0=py38h06a4308_0
• sqlite=3.51.0=h2a70700_0
• tk=8.6.15=h54e0aa7_0
• wheel=0.44.0=py38h06a4308_0
• xorg-libx11=1.8.12=h9b100fa_1
• xorg-libxau=1.0.12=h9b100fa_0
• xorg-libxdmcp=1.1.5=h9b100fa_0
• xorg-xorgproto=2024.1=h5eee18b_1
• xz=5.6.4=h5eee18b_1
• zlib=1.3.1=hb25bd0a_0
• pip:
  • absl-py==2.3.1
  • addict==2.4.0
  • aiofiles==23.2.1
  • aiohappyeyeballs==2.4.4
  • aiohttp==3.10.11
  • aiosignal==1.3.1
  • albumentations==1.3.1
  • altair==5.1.2
  • annotated-doc==0.0.4
  • annotated-types==0.7.0
  • antlr4-python3-runtime==4.9.3
  • anyio==4.6.2
  • async-timeout==5.0.1
  • attrs==25.3.0
  • backports-zoneinfo==0.2.1
  • basicsr==1.4.2
  • blinker==1.8.2
  • braceexpand==0.1.7
  • cachetools==5.5.2
  • certifi==2025.11.12
  • charset-normalizer==3.4.4
  • click==8.1.8
  • contourpy==1.1.1
  • cycler==0.12.1
  • einops==0.7.0
  • exceptiongroup==1.3.1
  • fastapi==0.121.3
  • ffmpy==0.5.0
  • filelock==3.13.1
  • fonttools==4.57.0
  • frozenlist==1.5.0
  • fsspec==2023.9.2
  • ftfy==6.2.3
  • future==1.0.0
  • gitdb==4.0.12
  • gitpython==3.1.45
  • google-auth==2.43.0
  • google-auth-oauthlib==1.0.0
  • gradio==3.38.0
  • gradio-client==0.7.1
  • grpcio==1.70.0
  • h11==0.16.0
  • httpcore==1.0.9
  • httpx==0.28.1
  • huggingface-hub==0.17.3
  • idna==3.11
  • imageio==2.31.6
  • imageio-ffmpeg==0.4.9
  • importlib-metadata==6.11.0
  • importlib-resources==6.4.5
  • invisible-watermark==0.2.0
  • jinja2==3.1.6
  • joblib==1.4.2
  • jsonschema==4.23.0
  • jsonschema-specifications==2023.12.1
  • kiwisolver==1.4.7
  • kornia==0.7.1
  • lazy-loader==0.4
  • lightning-utilities==0.11.9
  • linkify-it-py==2.0.3
  • lmdb==1.7.5
  • markdown==3.7
  • markdown-it-py==2.2.0
  • markupsafe==2.1.5
  • matplotlib==3.7.5
  • mdit-py-plugins==0.3.3
  • mdurl==0.1.2
  • mpmath==1.3.0
  • multidict==6.1.0
  • networkx==3.0
  • numpy==1.24.4
  • nvidia-cublas-cu12==12.1.3.1
  • nvidia-cuda-cupti-cu12==12.1.105
  • nvidia-cuda-nvrtc-cu12==12.1.105
  • nvidia-cuda-runtime-cu12==12.1.105
  • nvidia-cudnn-cu12==9.1.0.70
  • nvidia-cufft-cu12==11.0.2.54
  • nvidia-curand-cu12==10.3.2.106
  • nvidia-cusolver-cu12==11.4.5.107
  • nvidia-cusparse-cu12==12.1.0.106
  • nvidia-nccl-cu12==2.20.5
  • nvidia-nvjitlink-cu12==12.9.86
  • nvidia-nvtx-cu12==12.1.105
  • oauthlib==3.3.1
  • omegaconf==2.3.0
  • open-clip-torch==2.24.0
  • opencv-python==4.8.1.78
  • opencv-python-headless==4.12.0.88
  • orjson==3.10.15
  • packaging==23.2
  • pandas==2.0.3
  • pillow==10.0.1
  • pip==25.0.1
  • pkgutil-resolve-name==1.3.10
  • platformdirs==4.3.6
  • prettytable==3.9.0
  • propcache==0.2.0
  • protobuf==4.25.8
  • pyarrow==17.0.0
  • pyasn1==0.6.1
  • pyasn1-modules==0.4.2
  • pydantic==2.9.2
  • pydantic-core==2.23.4
  • pydeck==0.9.1
  • pydub==0.25.1
  • pygments==2.19.2
  • pyparsing==3.1.4
  • python-dateutil==2.9.0.post0
  • python-multipart==0.0.20
  • pytorch-lightning==1.9.4
  • pytz==2025.2
  • pywavelets==1.4.1
  • pyyaml==6.0.3
  • qudida==0.0.4
  • referencing==0.35.1
  • regex==2024.11.6
  • requests==2.32.4
  • requests-oauthlib==2.0.0
  • rich==13.9.4
  • rpds-py==0.20.1
  • rsa==4.9.1
  • safetensors==0.4.1
  • scikit-image==0.21.0
  • scikit-learn==1.3.2
  • scipy==1.10.1
  • semantic-version==2.10.0
  • sentencepiece==0.2.0
  • six==1.17.0
  • smmap==5.0.2
  • sniffio==1.3.1
  • starlette==0.44.0
  • streamlit==1.28.0
  • streamlit-drawable-canvas==0.8.0
  • sympy==1.13.3
  • tb-nightly==2.14.0a20230808
  • tenacity==8.5.0
  • tensorboard==2.14.0
  • tensorboard-data-server==0.7.2
  • test-tube==0.7.5
  • threadpoolctl==3.5.0
  • tifffile==2023.7.10
  • timm==0.9.12
  • tokenizers==0.14.1
  • toml==0.10.2
  • tomli==2.3.0
  • toolz==1.0.0
  • torch==2.4.1+cu121
  • torchaudio==2.4.1+cu121
  • torchmetrics==1.1.2
  • torchvision==0.19.1+cu121
  • tornado==6.4.2
  • tqdm==4.67.1
  • transformers==4.34.0
  • triton==3.0.0
  • typing-extensions==4.8.0
  • tzdata==2025.2
  • tzlocal==5.2
  • uc-micro-py==1.0.3
  • urllib3==2.2.3
  • uvicorn==0.33.0
  • validators==0.34.0
  • watchdog==4.0.2
  • wcwidth==0.2.14
  • webdataset==0.2.85
  • websockets==11.0.3
  • werkzeug==3.0.6
  • yapf==0.40.1
  • yarl==1.15.2
  • zipp==3.20.2