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Hi, I want to generate images from random latent vectors as is performed in stylegan2, without the encoding step. How it can be done with pSp? Thanks
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Hello. I just use the following command in Window 10 64bit home edition
**conda env create -f C:\Users\User\Downloads\pixel2style2pixel\environment\psp_env.yaml**
And I get the following error
**…
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Hi, I wonder if you can help me.
Basically I'd like to train a model similar to the Toonify model, except on a different target domain (I'm going for a more hand-drawn cartoony style) with unpaire…
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Thank you for your great work!!
I am training model to swap gender. It looks like your encoder is much faster.
I have found this dataset synthesized using stylegan2.
https://www.dropbox.com/sh/…
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I set the 'return_latents=True' in psp.py , but get TypeError :
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Traceback (most recent call last):
File "/home/zhz1/anaconda3/envs/env_36/lib/python3.7/site-packages/PIL/Image.py", line 2751,…
alip7 updated
3 years ago
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Hello sir, I am using the images that I encoded using your repo to make a style mixing project. I am using stylegan2's run_generator.py file to do this. But when I load my encoded images, it is a lot …
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Thanks for your excellent work! I have read your code, and I find you don't use any alignment in training encoder for id_loss, so if I want to training on my own datasets, alignment should be done bef…
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I have a set of images.
can you share an example in colab to train a set of images
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Is it possible to train psp for any domain or does it only work for human faces?
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Thank you for your great work! I'm about to try to reproduce the FFHQ encoder. The problem may not from your code but from the datasets preparation . The Nvidia FFHQ dataset is available for resolutio…