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  • Stable Diffusion BASICS - A guide to VAE : r StableDiffusion - Reddit
    The VAE is what gets you from latent space to pixelated images and vice versa There's hence no such thing as "no VAE" as you wouldn't have an image It hence would have used a default VAE, in most cases that would be the one used for SD 1 5 A VAE is hence also definitely not a "network extension" file
  • Whats a VAE? : r StableDiffusion - Reddit
    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 than the input contains, it's forced to learn about the input distribution
  • VAE（变分自动编码器）优势在哪里？ - 知乎
    其次，我们深入理解下vae的原理：vae是一种无监督的生成模型，其理论基础是建立在高斯混合模型之上。 由VAE的模型结构，我们可以看到噪声编码 z 是由一个标准正态分布所产生的向量，我们对这个分布随机采样 m 个点，其中 m 服从多项式分布 P(x) 。
  • 各种生成模型vae gan diffusion有什么独特之处？分别擅长在什么方面使用？ - 知乎
    “vae的潜在空间能够捕捉到图像的主要特征，从而生成具有相似结构的全新图像。 下面是一些应用场景： 人物动作生成 ：在CVPR'24的一篇论文中，提出了一个框架，能够生成人物动作，精细到手部运动。
  • Explanation of vae-ft-mse-840000-ema : r StableDiffusion - Reddit
    I think anime folks use a different VAE This has been kind of simplified and complicated at the same time by the fact that most community models have been baking the VAE model into the checkpoint, so you only really need to worry about what VAE to pick for unbaked models and those will usually be 6+ months old at this point
  • [D] Is VAE still worth it? : r MachineLearning - Reddit
    The "VAE" in the context of latent diffusion isn't really a VAE It's more like a glorified downsample-upsample model It's more like a glorified downsample-upsample model If you look at the "latents" of a stable diffusion model, they're just downsampled images, rather than being some sort of high-level random variables
  • What is VAE? : r StableDiffusion - Reddit
    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 robust to corruption and other stuff
  • 为什么vae效果不好，但vae+diffusion效果就好了？ - 知乎
    指出，已经更正为“VAE”。SD原文3 1节中同时提供了VAE和VQ-VAE两种方案，VAE效果更好所以被大家一直沿用）之所以效果这么好，主要还是因为diffusion model强大。强大到用diffusion model去拟合的隐空间分布，能够逼近VAE或者VQ-VAE用encoder编码RGB图片得到的latent feature分布。
  • Couldnt find VAE named sd-v1. 5. vae : r StableDiffusion - Reddit
    If you want Automatic1111 to load it when it starts, you should edit the file called "webui-user bat" (right click, open with notepad) and point it to your desired VAE adding some arguments to it like this: set COMMANDLINE_ARGS=--vae-path "models\VAE\sd-v1 5 vae pt" When you are done, save this file and run it It should load now
  • Updated VAE released by Stability, reproducible before and after . . .
    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 saw a couple posts talking about this improving eyes and hands as well as img2img Seems exciting!





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