标签：python 生成 -- https nvidia stylegan3 NVlabs
此项目只能随机生成图片，不能以图生图
进入项目文件夹，激活虚拟环境
conda env create -f environment.yml
conda activate stylegan3
访问https://pytorch.org/get-started/locally/，根据自己的环境选择
在虚拟环境执行
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
生成图片,用官方的模型
# Generate an image using pre-trained AFHQv2 model ("Ours" in Figure 1, left).
python gen_images.py --outdir=out --trunc=1 --seeds=2 --network=https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-afhqv2-512x512.pkl
生成视频,用官方的模型，这个电脑不行的话，会有点慢
# Render a 4x2 grid of interpolations for seeds 0 through 31.
python gen_video.py --output=lerp.mp4 --trunc=1 --seeds=0-31 --grid=4x2 --network=https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-afhqv2-512x512.pkl
结果
若生成图片报错
OMP: Error #15: Initializing libiomp5md.dll, but found libiomp5md.dll already initialized. OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause inco
去创建的虚拟环境下 anaconda/envs/env_name/Library/bin 的 libiomp5md.dll 文件删除，再跑代码就没问题了
标签：python,
生成,
--,
https,
nvidia,
stylegan3,
NVlabs
From： https://www.cnblogs.com/qcy-blog/p/18135333