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Update requirements.txt
Browse files- requirements.txt +96 -0
requirements.txt
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| 1 |
musev @ git+https://github.com/TMElyralab/MuseV.git@setup
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| 1 |
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diffusers @ git+https://github.com/TMElyralab/diffusers.git@tme
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ip_adapter @ git+https://github.com/tencent-ailab/IP-Adapter.git@main
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clip @ git+https://github.com/openai/CLIP.git@main
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controlnet_aux @ git+https://github.com/TMElyralab/controlnet_aux.git@tme
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mmcm @ git+https://github.com/TMElyralab/MMCM.git@setup
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musev @ git+https://github.com/TMElyralab/MuseV.git@setup
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# tensorflow==2.12.0
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# tensorboard==2.12.0
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# torch==2.0.1 --index-url https://download.pytorch.org/whl/cu118
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# torchvision==0.15.2 --index-url https://download.pytorch.org/whl/cu118
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# torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118
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torch
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torchvision
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torchaudio
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ninja==1.11.1
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transformers==4.33.1
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bitsandbytes==0.41.1
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decord==0.6.0
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accelerate==0.22.0
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xformers==0.0.21
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omegaconf
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einops
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imageio==2.31.1
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pandas
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h5py
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matplotlib
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modelcards==0.1.6
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pynvml==11.5.0
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black
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pytest
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moviepy==1.0.3
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torch-tb-profiler==0.4.1
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scikit-learn
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librosa
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ffmpeg
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easydict
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webp
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mediapipe==0.10.3
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cython==3.0.2
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easydict
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gdown
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infomap==2.7.1
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insightface==0.7.3
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ipython
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librosa==0.10.1
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onnx==1.14.1
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onnxruntime==1.15.1
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onnxsim==0.4.33
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opencv_python
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Pillow
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protobuf==3.20.3
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pytube==15.0.0
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PyYAML
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requests
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scipy
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six
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tqdm
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albumentations==1.3.1
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opencv-contrib-python==4.8.0.76
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imageio-ffmpeg==0.4.8
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pytorch-lightning==2.0.8
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test-tube==0.7.5
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timm==0.9.12
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addict
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yapf
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prettytable
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safetensors==0.3.3
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fvcore
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pycocotools
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wandb==0.15.10
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wget
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ffmpeg-python
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streamlit
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webdataset
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kornia==0.7.0
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open_clip_torch==2.20.0
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streamlit-drawable-canvas==0.9.3
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torchmetrics==1.1.1
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invisible-watermark==0.1.5
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gdown==4.5.3
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ftfy==6.1.1
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jupyters
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ipywidgets==8.0.3
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ipython
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matplotlib==3.6.2
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redis==4.5.1
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# pydantic~=1.0
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gradio
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loguru==0.6.0
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IProgress==0.4
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markupsafe==2.0.1
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xlsxwriter
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cuid
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spaces
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# https://mirrors.cloud.tencent.com/pypi/packages/de/a6/a49d5af79a515f5c9552a26b2078d839c40fcf8dccc0d94a1269276ab181/tb_nightly-2.1.0a20191022-py3-none-any.whl
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# basicsr
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# numpy==1.23.5
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