Daniel Roich

Thanks! :) Will be updated

Thanks! Sounds good, will add to the task list. PTI inversion of 2 input faces and the interpolation between them

Thanks! Yes, I have, I think it is connected to the fact that the above image is more "out of domain" compared to the second image. I found you need...

Great! The code correction you suggested is actually the right way to do this. It makes the code agnostic of the generator number of layers.

Something like that, use the same edit directions, but add more "power" to the tuning be feeding it with few-shot fine-tuning instead of one-shot as the classic PTI does

No Add more images Try using the multi_id_coach on several images of the same person

Hi @danpaldev, It depends in the pretrained StyleGAN. Lets take [StyleGAN-Human](https://github.com/stylegan-human/StyleGAN-Human) for example. You can see under the 'Aligned raw images' section the preprocessing functions they use prior of using...

Hi @tanisha605, You will have to use a specific GAN for this action. For example StyleGAN-XL or StyleGAN-Human. The facial pretrained GAN assumes the facial image is aligned and only...

Hi @xLuge, the fine-tuned weights are created each time you invert an input image so for your question, the answer is yes, you can also configure the output path the...

Hi @linziqu, The 'noise mode' indicates how the noise injected into StyleGAN behaves. StyleGAN actually receives 2 inputs. The latent code and a noise vector can be seen in the...