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I am trying to reimplement your code in PyTorch and I need to know what is the difference between your loss function and the loss function regarding the vanilla VAE? Based on my experience, your KL-di…
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Thank you for your working and sharing. I learned a lot from them.
However, I have a question about the VAE implementation.
In VAE.py, you calculate the marginal_likelihood as an cross entropy:
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https://github.com/lihaoyun6/sd-webui-Hires-fix-Plus
after new updates with SD webui it stopped working and there were a couple of interesting features there
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I'm trying to create a mixed palette version of a SD 1.5 LCM model. Specifically I've using /Lykon/dreamshaper-8-lcm from huggingface. I tried using the pregenerated recipe for SD 1.5 but got the fo…
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Hi, I couldn't find the implementation for latent posteriors of q(yl | X) and q(zl | X) as discussed in the claimed paper. The MC estimate of the variational lower bound also seems to be missing as di…
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Hi,
I was looking at the current implementation, and was noticing that before every generation you pass all reference images through the VAE as one batch. After a certain amount of references image…
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As soon as the first epoch completes training, I am getting this error.
I think it is due to some changes in the updated library, as I am getting the same error with one more implementation on vae.
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Hi All!
I want to contribute to backpack with an implementation that works for VAEs. Please let me know if anyone else is working on this or I can carry out this task. I need to do this for my own re…
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Hello
I hope someone can help me understand why the KL is calculated as:
0.5 * torch.sum(torch.pow(self.mean, 2) + self.var - 1.0 - self.logvar, dim=[1, 2, 3])
In the DiagonalGaussianDistributi…
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### Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
### What would your feature do ?
I deployed Stable Diffusion on Windows 11. …