Zongsheng Yue
Zongsheng Yue
@patrickvonplaten Hi, My code depends on the library of opencv, which causes some failed tests. Is it possible to include opencv in diffusers since it is a very common tool...
@williamberman Our project depends on another deep image super-resolution model [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) and face detection model [RetinaFace](https://github.com/xinntao/facexlib). They are not necessary for diffusers but specified for our project. I don't know...
We have corrected this bug and the configuration file. Please re-download our repository. Thanks. @bwhwang
It seems that opencv failed to read your image. Please have a try read your image with opencv.
Please use CUDA_VISIBLE_DEVICES directly.
Sorry. We haven't added DifFace to diffusers.
You should load the key of "state_dict". I have extracted this key for the released model weight.
No, the learning rate is fixed as 1e-4 following the setting in DDPM.
We have not trained the model with 1024 x 1024, which requires huge computation resources.
For PSNR and LPIPS: https://github.com/chaofengc/IQA-PyTorch For LPIPS (VGG): https://github.com/richzhang/PerceptualSimilarity For IDS: see the script of VQFR. For FID: https://github.com/mseitzer/pytorch-fid As for as I know, for the metric of FID, VQFR...