Su Yang

@S1U , @GBCam There is no need to waste time on tossing the environment, try https://github.com/TencentARC/GFPGAN/issues/194

I made an ARM and x86 compatible image, you can try it out. @RedHeartSecretMan https://github.com/TencentARC/GFPGAN/issues/194

I have tested the newer two versions (without gpu), and if you have time, you can help supplement the model originally provided by the paper. thanks @andreafalzetti Don't forget to...

> > I have tested the newer two versions (without gpu), and if you have time, you can help supplement the model originally provided by the paper. thanks @andreafalzetti >...

Hi, all. @ecohunt @Fensterbank @TracelessLe @feathered-arch I made a natively runnable Docker image for x86 and ARM, give it a try if you're interested. https://github.com/TencentARC/GFPGAN/issues/194

> Plz share me link here 👉 https://github.com/TencentARC/GFPGAN/issues/194

The reason for this problem is that your model position is not placed correctly (refer to the definition in your code) The solution to the problem is simple, double check...

To give you a simple references: https://github.com/TencentARC/GFPGAN/issues/194 @uubuge @ullaf

There is a simple solution, you can refer to here. https://github.com/TencentARC/GFPGAN/issues/194 In addition, you can actually take the code out of the container and use it, in the current version,...

@lj350201364 There is no need to waste time on tossing the environment, try https://github.com/TencentARC/GFPGAN/issues/194