由于KL-reg的权重系数非常小,实际得到latent的标准差还是比较大的,latent diffusion论文中提出了一种rescaling方法:首先计算出第一个batch数据中的latent的标准差\hat \sigma,然后采用1/\hat \sigma的系数来rescale latent,这样就尽量保证latent的标准差接近1(防止扩散过程的SNR较高,影响生成效果,具体见latent diffusion...
明白了DDPM的workflow后,我们把以上描述中的“加噪的图像”替换为“加噪的latent”就是Diffusion Model在Stable Diffusion中的具体应用方式了,DDPM其实是一个概率模型,具体的推导涉及到变分推断等从概率分布角度的观察,我会争取再出一个文章来详细解释这个。 简单总结一下,在stable diffusion模型中—— 从训练来看:我们...
A key problem is that fine-tuning on a small set of images showing our subject is prone to overfitting on the given images. For this, we present an autogenous class-specific prior preservation loss, where we alleviate overfitting and prevent language drift by encouraging the diffusion model to ...
we present an autogenous class-specific prior preservation loss, where we alleviate overfitting and prevent language drift by encouraging the diffusion model to keep generating diverse instances of the same class as our subject.
1. How to useStableDiffusionPipeline Before diving into the theoretical aspects of how Stable Diffusion functions, let's try it out a bit 🤗. In this section, we show how you can run text to image inference in just a few lines of code!
Automatically selecting an algorithm based on the specific rank requirement. More experiments for different task, not only diffusion models. LoKr and LoHa have been proven to be useful for Large Language Model. Explore other low-rank representations or parameter-efficient methods to fine-tune either...
While the former is hidden behind an API, Stable Diffusion’s code can be downloaded and tweaked to suit specific requirements. It is also much lighter in terms of computing needs. Being from OpenAI, DALL-E 2 builds on many concepts and technologies that the firm had previously developed. ...
However, the screenshot of the original image or an image that is saved from another application cannot be identified in Stable Diffusion. Parameters Parameter Description Recommended value Sampling method The sampling mode of the diffusion denoising algorithm. Different sampling methods deliver differen...
Stable Diffusion WebUI 是 AUTOMATIC1111 为 Stable Diffusion 开发的一套 UI 操作界面,大幅度降低了 Stable Diffusion 的使用门槛,让用户甚至可以不用写代码就能够实现模型的推理、训练等操作。 启动器是什么? 启动器是秋葉 aaaki 团推开发的用来启动 Stable Diffusion WebUI 的启动工具。不仅能够实现一键启动(否则...
在训练Stable Diffusion时，会把图片输入VAE的Encoder，然后再拿来训练UNet，这样就可以在更低的维度空间...