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HunyuanWorld-Demo
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HunyuanWorld-Demo
File size: 6,930 Bytes 
57276d4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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name: HunyuanWorld
channels:
  - pytorch
  - nvidia
  - defaults
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - blas=1.0=mkl
  - brotli-python=1.0.9=py310h6a678d5_9
  - bzip2=1.0.8=h5eee18b_6
  - ca-certificates=2025.2.25=h06a4308_0
  - certifi=2025.1.31=py310h06a4308_0
  - charset-normalizer=3.3.2=pyhd3eb1b0_0
  - cuda-cudart=12.4.127=0
  - cuda-cupti=12.4.127=0
  - cuda-libraries=12.4.1=0
  - cuda-nvrtc=12.4.127=0
  - cuda-nvtx=12.4.127=0
  - cuda-opencl=12.8.90=0
  - cuda-runtime=12.4.1=0
  - cuda-version=12.8=3
  - ffmpeg=4.3=hf484d3e_0
  - filelock=3.17.0=py310h06a4308_0
  - freetype=2.13.3=h4a9f257_0
  - giflib=5.2.2=h5eee18b_0
  - gmp=6.3.0=h6a678d5_0
  - gmpy2=2.2.1=py310h5eee18b_0
  - gnutls=3.6.15=he1e5248_0
  - idna=3.7=py310h06a4308_0
  - intel-openmp=2023.1.0=hdb19cb5_46306
  - jinja2=3.1.6=py310h06a4308_0
  - jpeg=9e=h5eee18b_3
  - lame=3.100=h7b6447c_0
  - lcms2=2.16=h92b89f2_1
  - ld_impl_linux-64=2.40=h12ee557_0
  - lerc=4.0.0=h6a678d5_0
  - libcublas=12.4.5.8=0
  - libcufft=11.2.1.3=0
  - libcufile=1.13.1.3=0
  - libcurand=10.3.9.90=0
  - libcusolver=11.6.1.9=0
  - libcusparse=12.3.1.170=0
  - libdeflate=1.22=h5eee18b_0
  - libffi=3.4.4=h6a678d5_1
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libiconv=1.16=h5eee18b_3
  - libidn2=2.3.4=h5eee18b_0
  - libjpeg-turbo=2.0.0=h9bf148f_0
  - libnpp=12.2.5.30=0
  - libnvfatbin=12.8.90=0
  - libnvjitlink=12.4.127=0
  - libnvjpeg=12.3.1.117=0
  - libpng=1.6.39=h5eee18b_0
  - libstdcxx-ng=11.2.0=h1234567_1
  - libtasn1=4.19.0=h5eee18b_0
  - libtiff=4.7.0=hde9077f_0
  - libunistring=0.9.10=h27cfd23_0
  - libuuid=1.41.5=h5eee18b_0
  - libwebp=1.3.2=h9f374a3_1
  - libwebp-base=1.3.2=h5eee18b_1
  - llvm-openmp=14.0.6=h9e868ea_0
  - lz4-c=1.9.4=h6a678d5_1
  - markupsafe=3.0.2=py310h5eee18b_0
  - mkl=2023.1.0=h213fc3f_46344
  - mkl-service=2.4.0=py310h5eee18b_2
  - mkl_fft=1.3.11=py310h5eee18b_0
  - mkl_random=1.2.8=py310h1128e8f_0
  - mpc=1.3.1=h5eee18b_0
  - mpfr=4.2.1=h5eee18b_0
  - mpmath=1.3.0=py310h06a4308_0
  - ncurses=6.4=h6a678d5_0
  - nettle=3.7.3=hbbd107a_1
  - networkx=3.4.2=py310h06a4308_0
  - ocl-icd=2.3.2=h5eee18b_1
  - openh264=2.1.1=h4ff587b_0
  - openjpeg=2.5.2=h0d4d230_1
  - openssl=3.0.16=h5eee18b_0
  - pillow=11.1.0=py310hac6e08b_1
  - pip=25.0=py310h06a4308_0
  - pysocks=1.7.1=py310h06a4308_0
  - python=3.10.16=he870216_1
  - pytorch=2.5.0=py3.10_cuda12.4_cudnn9.1.0_0
  - pytorch-cuda=12.4=hc786d27_7
  - pytorch-mutex=1.0=cuda
  - pyyaml=6.0.2=py310h5eee18b_0
  - readline=8.2=h5eee18b_0
  - requests=2.32.3=py310h06a4308_1
  - sqlite=3.45.3=h5eee18b_0
  - tbb=2021.8.0=hdb19cb5_0
  - tk=8.6.14=h39e8969_0
  - torchaudio=2.5.0=py310_cu124
  - torchvision=0.20.0=py310_cu124
  - typing_extensions=4.12.2=py310h06a4308_0
  - urllib3=2.3.0=py310h06a4308_0
  - wheel=0.45.1=py310h06a4308_0
  - xz=5.6.4=h5eee18b_1
  - yaml=0.2.5=h7b6447c_0
  - zlib=1.2.13=h5eee18b_1
  - zstd=1.5.6=hc292b87_0
  - pip:
      - absl-py==2.2.2
      - accelerate==1.6.0
      - addict==2.4.0
      - aiohappyeyeballs==2.6.1
      - aiohttp==3.11.16
      - aiosignal==1.3.2
      - albumentations==0.5.2
      - antlr4-python3-runtime==4.8
      - asttokens==3.0.0
      - async-timeout==5.0.1
      - attrs==25.3.0
      - av==14.3.0
      - braceexpand==0.1.7
      - cloudpickle==3.1.1
      - colorama==0.4.6
      - coloredlogs==15.0.1
      - contourpy==1.3.2
      - cycler==0.12.1
      - cython==3.0.11
      - decord==0.6.0
      - diffdist==0.1
      - diffusers==0.32.0
      - easydict==1.9
      - einops==0.4.1
      - executing==2.2.0
      - facexlib==0.3.0
      - filterpy==1.4.5
      - flash-attn==2.7.4.post1
      - flatbuffers==25.2.10
      - fonttools==4.57.0
      - frozenlist==1.6.0
      - fsspec==2025.3.2
      - ftfy==6.1.1
      - future==1.0.0
      - gfpgan==1.3.8
      - grpcio==1.71.0
      - h5py==3.7.0
      - huggingface-hub==0.30.2
      - humanfriendly==10.0
      - hydra-core==1.1.0
      - icecream==2.1.2
      - imageio==2.37.0
      - imageio-ffmpeg==0.4.9
      - imgaug==0.4.0
      - importlib-metadata==8.6.1
      - inflect==5.6.0
      - joblib==1.4.2
      - kiwisolver==1.4.8
      - kornia==0.8.0
      - kornia-rs==0.1.8
      - lazy-loader==0.4
      - lightning-utilities==0.14.3
      - llvmlite==0.44.0
      - lmdb==1.6.2
      - loguru==0.7.3
      - markdown==3.8
      - markdown-it-py==3.0.0
      - matplotlib==3.10.1
      - mdurl==0.1.2
      - multidict==6.4.3
      - natten==0.14.4
      - numba==0.61.2
      - numpy==1.24.1
      - nvidia-cublas-cu12==12.4.5.8
      - nvidia-cuda-cupti-cu12==12.4.127
      - nvidia-cuda-nvrtc-cu12==12.4.127
      - nvidia-cuda-runtime-cu12==12.4.127
      - nvidia-cudnn-cu12==9.1.0.70
      - nvidia-cufft-cu12==11.2.1.3
      - nvidia-curand-cu12==10.3.5.147
      - nvidia-cusolver-cu12==11.6.1.9
      - nvidia-cusparse-cu12==12.3.1.170
      - nvidia-cusparselt-cu12==0.6.2
      - nvidia-nccl-cu12==2.21.5
      - nvidia-nvjitlink-cu12==12.4.127
      - nvidia-nvtx-cu12==12.4.127
      - omegaconf==2.1.2
      - onnx==1.17.0
      - onnxruntime-gpu==1.21.1
      - open-clip-torch==2.30.0
      - opencv-python==4.11.0.86
      - opencv-python-headless==4.11.0.86
      - packaging==24.2
      - pandas==2.2.3
      - peft==0.14.0
      - platformdirs==4.3.7
      - plyfile==1.1
      - propcache==0.3.1
      - protobuf==5.29.3
      - psutil==7.0.0
      - py-cpuinfo==9.0.0
      - py360convert==1.0.3
      - pygments==2.19.1
      - pyparsing==3.2.3
      - python-dateutil==2.9.0.post0
      - pytorch-lightning==2.4.0
      - pytz==2025.2
      - qwen-vl-utils==0.0.8
      - regex==2022.6.2
      - rich==14.0.0
      - safetensors==0.5.3
      - scikit-image==0.24.0
      - scikit-learn==1.6.1
      - scipy==1.15.2
      - seaborn==0.13.2
      - segment-anything==1.0
      - sentencepiece==0.2.0
      - setuptools==59.5.0
      - shapely==2.0.7
      - six==1.17.0
      - submitit==1.4.2
      - sympy==1.13.1
      - tabulate==0.9.0
      - tb-nightly==2.20.0a20250421
      - tensorboard-data-server==0.7.2
      - termcolor==3.0.1
      - threadpoolctl==3.6.0
      - tifffile==2025.3.30
      - timm==1.0.13
      - tokenizers==0.21.1
      - tomli==2.2.1
      - torchmetrics==1.7.1
      - tqdm==4.67.1
      - transformers==4.51.0
      - triton==3.2.0
      - tzdata==2025.2
      - ultralytics==8.3.74
      - ultralytics-thop==2.0.14
      - wcwidth==0.2.13
      - webdataset==0.2.100
      - werkzeug==3.1.3
      - wldhx-yadisk-direct==0.0.6
      - xformers==0.0.28.post2
      - yapf==0.43.0
      - yarl==1.20.0
      - zipp==3.21.0
      - open3d>=0.18.0
      - trimesh>=4.6.1
      - cmake
      - pytorch3d @ git+https://github.com/facebookresearch/pytorch3d.git
      - moge @ git+https://github.com/microsoft/MoGe.git
prefix: /opt/conda/envs/HunyuanWorld