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# Note: conda dependencies have only 1 "="
# pip dependencies have 2 "=="
# Fuse pip dependencies together under one " - pip" item
# Otherwise, only some of the are installed, because conda creates a temporary requirements.txt file
# only the last -pip section
name: diffusion-avatars
channels:
- nvidia/label/cuda-11.7.1
- pytorch
- conda-forge
dependencies:
- python=3.8
- pip
- jupyter
- jupyterlab
# CUDA
- cudatoolkit
- cuda-nvcc
- cuda-libraries-dev # For cuda_runtime.h
- ninja
# Additional PyTorch
- functorch
- torchinfo
- pip:
# Torch
- --extra-index-url https://download.pytorch.org/whl/cu117
- torch==2.0.1+cu117
- torchvision==0.15.2+cu117
- einops
- lightning
# nvdiffrast & Meshes
- git+ssh://git@github.com/NVlabs/nvdiffrast.git
- pyopengl
- glfw
- trimesh
- python-openctm
- smplx
# Logging
- wandb
- mediapy
- environs
- tyro
# Custom packages for facilitating ML research
- dreifus==0.1.7
- elias==0.2.11
- visage==0.2.5
# Diffusion
- accelerate
- diffusers==0.21.2
- transformers==4.31.0
- xformers==0.0.21 # 0.0.20
- bitsandbytes
# Evaluation
- pyfvvdp
- visage@git+https://github.com/tobias-kirschstein/face-parser.git
- insightface
- onnxruntime-gpu
- torchmetrics