It is more concise than stylegan2. If you want to learn stlegan network, you can come in and learn it.比stylegan2更简洁,如果是想学习stlegan网络可以进来学习一下。
Install project
conda create -n stylegan2-tiny python 3.x
conda activate stylegan2-tiny
cd stylegan2-tiny
pip install -r requirements.txt
Enter the config file and modify it.进入config文件下进行修改。
Epochs = 1000 Training times.训练次数。
Image_size = 64 Enter or generate picture size.输入或生成图片大小。
Dataset_path = "dataset_human" Data set address, subfolder containing pictures.数据集地址,子文件夹包含图片。
Image_format = "jpg"
Batch_size = 16 Training batch of data set.数据集的训练批次。
Load_weights = True
Execute the file train.py.执行文件train.py。
python train.py
Under the test() function, num_ IMG is to select and generate several pictures.在test()函数下,num_img是选择生成几张图片。
python test.py