针对你遇到的“valueerror: no gfpgan model found”错误,以下是一些可能的解决步骤和注意事项,帮助你定位和解决问题: 确认GFPGAN模型文件是否存在于指定路径: 确保你尝试加载的GFPGAN模型文件确实存在于你指定的路径中。你可以通过以下Python代码片段来检查文件是否存在: python import os model_path = "path/to/yo...
models/gfpgan_model.py Original file line numberDiff line numberDiff line change @@ -202,25 +202,25 @@ def feed_data(self, data): if 'gt' in data: self.gt = data['gt'].to(self.device) # uncomment to check data # import torchvision # if self.opt['rank'] == 0: # import...
Run GFPGAN created by tencentarc, the #1 AI model for Practical Face Restoration. Restore old photos or AI generated faces with GFPGAN.
wget https://github.com/TencentARC/GFPGAN/releases/download/v0.1.0/GFPGANv1.pth -P experiments/pretrained_models Option 1: Load extensions just-in-time(JIT) BASICSR_JIT=True python inference_gfpgan.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs ...
If you want want to use the original model in our paper, please follow the instructions below. Clone repo git clone https://github.com/xinntao/GFPGAN.git cd GFPGAN Install dependent packages As StyleGAN2 uses customized PyTorch C++ extensions, you need to compile them during installation or ...
wget https://github.com/TencentARC/GFPGAN/releases/download/v0.1.0/GFPGANv1.pth -P experiments/pretrained_models Option 1: Load extensions just-in-time(JIT) BASICSR_JIT=True python inference_gfpgan.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs ...
wget https://github.com/TencentARC/GFPGAN/releases/download/v0.1.0/GFPGANv1.pth -P experiments/pretrained_models Option 1: Load extensions just-in-time(JIT) BASICSR_JIT=True python inference_gfpgan.py --input inputs/whole_imgs --output results --version 1 # for aligned images BASICSR_JI...
BASICSR_JIT=True python inference_gfpgan.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs --save_root results --arch original --channel 1 # for aligned images BASICSR_JIT=True python inference_gfpgan.py --model_path experiments/pretrained_models/GFPGA...
BASICSR_JIT=True python inference_gfpgan.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs --save_root results --arch original --channel 1 # for aligned images BASICSR_JIT=True python inference_gfpgan.py --model_path experiments/pretrained_models/GFPGA...
wget https://github.com/TencentARC/GFPGAN/releases/download/v0.1.0/GFPGANv1.pth -P experiments/pretrained_models Option 1: Load extensions just-in-time(JIT) BASICSR_JIT=True python inference_gfpgan.py --model_path experiments/pretrained_models/GFPGANv1.pth --test_path inputs/whole_imgs ...