Linear diffusion models in machine learning are defined by their straightforward and predictable approach to data processing, adhering to a linear path both in adding and removing noise. This linearity is the heart of their functionality, setting them apart from more complex model types. For example...
Diffusion is the process wherein the molecules move from a region of higher concentration to a region of lower concentration down the concentration gradient.
Now, imagine a magical guide that can help you – slowly, step by step – organize those particles into a picture-perfect image. This magical guide is what we call a diffusion model in the world of machine learning. Diffusion models, or to give them their full name, Denoising Diffusion Pr...
Diffusion is a mass transfer phenomenon. Chemical species are distributed more uniformly in space over time because of diffusion. View examples here.
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Performance in an ongoing lexicaldecision task was analysed with the diffusion model. The results suggest that criterion shifts play an important role when a PM task is added, but do not fully explain the cost effect on reaction time.Horn...
Realistic Vision is one of the most popular Stable Diffusion Models. As its name implies, it is intended to create realistic images. You can use this model to generate real-life-like images of humans, animals, and objects. As you can see in the above screenshot, it is harder to differen...
Facilitated diffusion is the transport of molecules from the region of higher concentration to the region of lower concentration with the help of carriers.
本篇面向 AI 算图新手、对写 prompt 没有概念的朋友,以 diffusion model 系 AI 绘图工具为例,分享我自己从零开始学习写图像生成 prompt 的经验,只谈基本架构跟新手上路的方向。 写prompt 的路子有很多,我并不是唯一正解,只是其中的一种路子,希望每个走过路过的朋友,在看完后经过练习,都可以找到自己写 prompt...
Stable Diffusion LoRA models can help you to produce fine-tuned output. Here's how to use these Stable Diffusion models.