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Why Latent Space in Stable Diffusion has shape 64x64x3?

I am wondering why the dimensionality of Latent Space in Stable Diffusion is 64x64x3. Since ...
Renat Abdrakhmanov's user avatar
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Edit friendly DDPM noise space

I was reading this paper, "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". In page no. 4, they have mentioned that in DDPM, noise maps of consecutive steps are highly ...
shivani's user avatar
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Common sense fixes to a buggy diffusion model that won’t overfit one sample?

hope this question is in the right place. I’m working with a toy diffusion model to generate points e.g learning a Swiss roll which to me is a basic use case that I wanted to start with. My model is ...
pxvxrx's user avatar
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Learning target of Denoising Diffusion Probabilistic Model

I am trying to understand the learning target of DDPM. Trying to understand $D_{KL}(q(x_{1:T}|x_0)||p_\theta(x_{1:T}|x_0)$ in following line. $$ -\log p_\theta(x_0) <= -\log p_\theta(x_0) + D_{KL}(...
Mr.Wang from Next Door's user avatar
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Diffusion models on Data from a uniform distribution

Can Diffusion models learn data sampled from a uniform random distribution?
Usman Akram's user avatar
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How many parameters are necessary before stable diffusion "works"?

Stable diffusion is essentially removing entropy from noisy images. If you have $n$ latent dimensions, and add Gaussian noise independently to each dimension, then the added entropy is on the order of ...
programjames's user avatar
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How to generate synthetic feature instead of synthetic image using Diffusion-based generative Model?

Is it possible to pass some extracted features from the pre-trained ResNet model to a diffusion model for training and further generate synthetic features instead of images like GAN or VAE? P.S. I ...
Chandan Gautam's user avatar