使用稳定扩散关键字生成期望图像的AI应用

Zhan Shi
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引用次数: 0

摘要

如今,人工智能(AI)在绘画领域产生了很大的影响。与手绘和挑战个人创造力相比,人工智能应用程序在转换为数据后进行添加噪声、去除噪声、恢复图像和保存当前过程的实践。在各种人工智能图像生成器模型中,扩散模型是最新的应用,主要包括两个模型,文字图像映射和扩散算法。本文介绍了图像生成的机制,并对图像生成中人工智能应用的伦理问题进行了讨论。因此,应该实施复杂的法律限制,以防止人工智能模型可能产生的负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Application to Generate an Expected Picture Using Keywords with Stable Diffusion
: Nowadays, artificial intelligence (AI) has a big impact in the field of painting. In contrast to the hand-painting and challenging personal creativity, AI applications practices to add noise, remove noise, restore image and conserve the present process after converting to data. The various AI image generator models, Diffusion model is the latest application consist of two main models, word-image mapping and diffusion algorithm. This article is introduced the mechanism of how images are generated and makes arguments about ethical issues of AI application of image generation. As a result, sophisticated legal restrictions should be implemented to prevent possible negative effects of AI models.
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