Abstract
Two years ago, Stable Diffusion achieved super-human performance at generating images with super-human numbers of fingers. Following the steady decline of its technical novelty, we propose Stale Diffusion, a method that solidifies and ossifies Stable Diffusion in a maximum-entropy state. Stable Diffusion works analogously to a barn (the Stable) from which an infinite set of horses have escaped (the Diffusion). As the horses have long left the barn, our proposal may be seen as antiquated and irrelevant. Nevertheless, we vigorously defend our claim of novelty by identifying as early adopters of the Slow Science Movement, which will produce extremely important pearls of wisdom in the future. Our speed of contributions can also be seen as a quasi-static implementation of the recent call to pause AI experiments, which we wholeheartedly support. As a result of a careful archaeological expedition to 18-months-old Git commit histories, we found that naturally-accumulating errors have produced a novel entropy-maximising Stale Diffusion method, that can produce sleep-inducing hyper-realistic 5D video that is as good as one's imagination.
Abstract (translated)
两年前，Stable Diffusion通过生成具有超人类手指数量的图像实现了超人类性能。在技术新颖性逐渐下降之后，我们提出了Stale Diffusion，一种将Stable Diffusion巩固和固化的方法，使其达到最大熵状态。与Stable Diffusion相似，该方法可以看作是从一个无限种马中逃出的谷仓（the Stable）一样。随着马已经离开谷仓很久了，我们的提议可能被视为过时和无关紧要。然而，我们坚定地捍卫我们的创新地位，称自己是慢科学运动的早期采用者，将在未来产生极其重要的智慧珍珠。我们的贡献速度也可以看作是对最近呼吁暂停AI实验的积极响应，我们完全支持。通过仔细的考古探险，我们发现了自然累积误差产生了一种新的最大熵Stale Diffusion方法，可以生成与想象中同样逼真的5D视频，具有催眠式的超现实感。
URL
https://arxiv.org/abs/2404.01079
