What's a VAE? : r/StableDiffusion - Reddit
Nov 28, 2022 · A VAE is a variational autoencoder. An autoencoder is a model (or part of a model) that is trained to produce its input as output. By giving the model less information to represent the data …
VAE（变分自动编码器）优势在哪里？ - 知乎
若只是为了提取中间隐层信息（作降维用），VAE（变分自动编码器）相比AE（自编码器），DAE（降噪自动编码…
为什么vae效果不好，但vae+diffusion效果就好了？ - 知乎
为什么vae效果不好，但vae+diffusion效果就好了？ vae本身生成图像模糊，说明encoder、decoder以及中间的隐层表示没有学到本质的东西。 SD在训练时又把VAE冻结了，为什么在隐层用diffu… 显示全 …
Explanation of vae-ft-mse-840000-ema : r/StableDiffusion - Reddit
Mar 6, 2024 · This vae was trained longer, thats pretty much it. MSE is just one of the losses used in training (Mean Squared Error). If you want to learn more you can look up "variational autoencoders" …
VAE、GAN 这种生成模型和 transformer 有什么区别？
VAE、GAN 这种生成模型和 transformer 有什么区别？ 想问问为什么在分子生成中大部分选择使用VAE、GAN这种生成模型，而不使用transformer进行生成，这两种直接有什么本质的区别吗？ …
Stable Diffusion BASICS - A guide to VAE : r/StableDiffusion - Reddit
May 31, 2023 · You seem to have some misconceptions when it comes to VAE. The VAE is what gets you from latent space to pixelated images and vice versa. There's hence no such thing as "no VAE" …
许嵩vae这艺名是什么由来啊？ - 知乎
Vae不止是在Diss曲目上有所建树，其它主题的rap歌曲也是获得了认可的。 2007年2月17日，Vae发布了《朝舞》，这首歌邀请到了乱感觉的队友大V李毅杰合作，而另一位合作嘉宾则是天王星的呆宝静。 …
Updated VAE released by Stability, reproducible before and after ...
Oct 25, 2022 · Stability recently released a new VAE. The VAE is part of the SD image generation process. A new VAE is exciting since people were hoping it would improve the generated images. I …
What is VAE? : r/StableDiffusion - Reddit
Dec 2, 2022 · A VAE extends this concept by making the middle part, or the .zip file probabilistic instead of simply flat encoded data at rest. A little bit of an mathematical annoyance, but it makes it more …
Baked VAE and NO VAE checkpoints difference? : r/StableDiffusion
May 25, 2023 · With or without VAE file size seem to be the same, which is quite puzzling. I understand what VAE is, and it seems that you cannot create any image without translating latent space to pixel …