(Note: running old StyleGAN2 models on StyleGAN3 code will produce the same results as running them on stylegan2-ada/stylegan2-ada-pytorch. To benefit from the StyleGAN3 architecture, you need to retrain.) Supports old StyleGAN2 training configurations, including ADA and transfer learning. See ...
其中StyleGANv2ADA_outputs.zip为读取styleganv2ada_512_afhqcat.pth迁移学习一个动漫头像数据集(地址https://aistudio.baidu.com/aistudio/datasetdetail/110820)获得的权重、日志、中间生成结果;StyleGANv3_outputs.zip为从头学习这个动漫头像数据集获得的权重、日志、中间生成结果。 训练 大体命令格式如下: python tool...
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当评估模型的质量时，能够准确测量其预测误差至关重要。然而，测量误差的技术常常会给出严重误导的结果。
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StyleGAN3-FunLet's have fun with StyleGAN2/ADA/3!SOTA GANs are hard to train and to explore, and StyleGAN2/ADA/3 are no different. The point of this repository is to allow the user to both easily train and explore the trained models without unnecessary headaches....
https://github.com/NVlabs/stylegan2-ada/blob/main/dnnlib/tflib/custom_ops.py#L57: def _get_cuda_gpu_arch_string(): gpus = [x for x in device_lib.list_local_devices() if x.device_type == 'GPU'] if len(gpus) == 0: raise RuntimeError('No GPU devices found') (major, minor)...