Open vanche opened 2 weeks ago
Hi, the LPIPS vgg checkpoints is provided in the official vqgan repo. See here. You can find the downloaded URL.
Thank you for your prompt response. However, after checking the model checkpoint from the link you provided, I'm still encountering the same issue. So, I reviewed the relevant code again. The LPIPS class is similar to the one in the Open-Sora project (link), so I compared the two codes.
In your code, you use strict=True when calling load_state_dict. In this case, it seems that weights for self.scaling_layer and self.net within LPIPS are required. When I set strict=False in self.load_state_dict, the following RuntimeError I was experiencing does not occur:
RuntimeError: Error(s) in loading state_dict for LPIPS: Missing key(s) in state_dict: "scaling_layer.shift", "scaling_layer.scale", "net.slice1.0.weight", "net.slice1.0.bias", "net.slice1.2.weight", "net.slice1.2.bias", "net.slice2.5.weight", "net.slice2.5.bias", "net.slice2.7.weight", "net.slice2.7.bias", "net.slice3.10.weight", "net.slice3.10.bias", "net.slice3.12.weight", "net.slice3.12.bias", "net.slice3.14.weight", "net.slice3.14.bias", "net.slice4.17.weight", "net.slice4.17.bias", "net.slice4.19.weight", "net.slice4.19.bias", "net.slice4.21.weight", "net.slice4.21.bias", "net.slice5.24.weight", "net.slice5.24.bias", "net.slice5.26.weight", "net.slice5.26.bias", "net.slice5.28.weight", "net.slice5.28.bias".
Would setting strict=False align with your intended functionality?
Also, when using strict=False, it seems appropriate to set pretrained=True for self.net, which is the VGG network. I wanted to confirm whether this matches your intentions.
I look forward to your response. Thank you!
The link you have provided is size 6.7 KB
. And the Lpips model you are using has 14,716,161
parameters is impossible they match. Also, it seems to be a different file since it was saved in your project as: '/home/jinyang06/models/vae/video_vae_baseline/vgg_lpips.pth'
which seems to be different than the vgg.pth
file you are referring to.
Do you have any updated answers or additional information regarding my question? @jy0205
我也遇到这个问题了,有谁有好的解决方法吗
Hi, thank you for this great work! It seems that I need the checkpoint for LPIPS vgg to train the VAE. I referred to your utils.py code and downloaded vgg.pth, but I'm getting a "Missing key(s) in state_dict:" error, possibly because it's a different checkpoint from the model. Could you please help me find where I can obtain the checkpoint for LPIPS vgg?