摘要
以下引文是新闻编辑从新闻编辑提供的背景资料中获得的发明者：“生成模型是可以生成数字组件的机器学习模型类型，”例如图像、视频或tex T，基于模型输入，例如描述数字图像的文本提示要生成的组件。生成模型的一个例子是稳定扩散(SD)mo del。SD是一种用于产生高视觉保真度图像的扩散过程，模型在此学习迭代细化初始噪声图像以生成真实的输出图像。
Abstract
The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Generative models are types of machine learning models that can generate a digital component,such as an image, a video, or tex t, based on a model input, e.g., a text prompt describing the digitalcomponent to be generated. One example of a generative model is a Stable Diffusion (SD) mo del. SD isa type of diffusion process that is used to generate images with high visual fidelity, where the model learnsto iteratively refine an initial noisy image to generate a realistic output image.”
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