InvokeAI/environment.yml
Lincoln Stein ce298d32b5 attempt to make batch install more reliable
1. added nvidia channel to environment.yml
2. updated pytorch-cuda requirement
3. let conda figure out what version of pytorch to install
4. add conda install status checking to .bat and .sh install files
5. in preload_models.py catch and handle download/access token errors
2022-11-01 12:02:22 -04:00

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YAML

name: invokeai
channels:
- pytorch
- nvidia
- defaults
dependencies:
- python>=3.9
- pip=22.2.2
- numpy=1.23.3
- torchvision=0.14.0
- pytorch-cuda=11.7
- pip:
- albumentations==0.4.3
- opencv-python==4.5.5.64
- pudb==2019.2
- imageio==2.9.0
- imageio-ffmpeg==0.4.2
- pytorch-lightning==1.7.7
- omegaconf==2.1.1
- realesrgan==0.2.5.0
- test-tube>=0.7.5
- streamlit==1.12.0
- send2trash==1.8.0
- pillow==9.2.0
- einops==0.3.0
- pyreadline3
- torch-fidelity==0.3.0
- transformers==4.21.3
- diffusers==0.6.0
- torchmetrics==0.7.0
- flask==2.1.3
- flask_socketio==5.3.0
- flask_cors==3.0.10
- dependency_injector==4.40.0
- eventlet
- kornia==0.6.0
- -e git+https://github.com/openai/CLIP.git@main#egg=clip
- -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
- -e git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k_diffusion
- -e git+https://github.com/TencentARC/GFPGAN.git#egg=gfpgan
- -e git+https://github.com/invoke-ai/clipseg.git@models-rename#egg=clipseg
- -e .