
[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. I mean that's kind of what a VAE is to begin with. The encoder …
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 …
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 …
为什么vae效果不好,但vae+diffusion效果就好了? - 知乎
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 …
Download the improved 1.5 model with much better faces using
This is the new 1.5 model with updated VAE, but you can actually update the VAE of all your previous diffusion ckpt models in a non destructive manner, for this check this post out …
VAE(变分自动编码器)优势在哪里? - 知乎
VAE生成例子 MNIST是个手写数字数据集,相信大家耳熟能详,就用这个数据集来解释VAE,网上代码很多,tensorflow的官方教程也包含了一个,这里就不再详细展开。
How should I avoid this problem? Running out of memory vae
Jan 23, 2024 · The warning suggests that you replace the VAE Decode node with the VAE Decode Tiled version and try re-running the workflow. If it had run out of memory earlier in the …
模仿学习 (Imitation Learning)入门指南
模仿学习的思想很直观 (intuitive)。我们在前面所介绍的Model-free, Model-based强化学习方法都是 从零开始 (from scratch) 探索并学习一个使累计回报最大的策略 (policy) 。 Imitation Learning …
In A1111, Is there a difference between putting a VAE file in
Feb 18, 2023 · Pretty much the title. I've seen tutorials that say to put your VAE files in the same folder as your models which is \models\Stable-diffusion, and others that say to put VAEs in the …
Flux基础-各种版本说明和下载 - 知乎
Dec 30, 2024 · Unet版和Checkpoint版区别: Unet版通俗来讲,没有包含clip和vae,需要单独下载 Checkpoint版,包含clip和vae Pro版模型 效果最好,但是 闭源,API收费。 Dev版模型 开 …