Creating your own conda environment
Overview
Teaching: 5 min min
Exercises: 0 minQuestions
How to create conda environment with GPU supported library
Objectives
2. Creating the conda environment
Now it the time to create your own conda environment so that you can get the GPU supported library working for you. Follow these steps:
Load neccesary modules with GPU supported library
$ module load spack conda cuda-11.8.0-gcc-11.2.0/cudnn/8.7.0.84-11.8-aydlfs6 cuda/gcc-11.2.0/cuda/11.8.0-vnha6cm
Create conda environment and name it sd (for stable diffusion), save it on your desktop:
$ conda create --prefix ~/sd python=3.10.13 pip –y
activate it once you done creating the environment:
$ conda activate ~/sd
Key Points
Conda environment, GPU, cuda