Recent diffusion-based AI art platforms are able to create impressive images from simple text descriptions. This makes them powerful tools for concept design in any discipline that requires creativity in visual design tasks. This is also true for early stages of architectural design with multiple stages of ideation, sketching and modelling. In this paper, we investigate how applicable diffusion-based models already are to these tasks. We research the applicability of the platforms Midjourney, DALL-E 2 and StableDiffusion to a series of common use cases in architectural design to determine which are already solvable or might soon be. We also analyze how they are already being used by analyzing a data set of 40 million Midjourney queries with NLP methods to extract common usage patterns. With this insights we derived a workflow to interior and exterior design that combines the strengths of the individual platforms.
翻译:最近基于扩散的AI艺术平台能够从简单的文字描述中生成令人印象深刻的图像。 这使得这些平台在任何需要视觉设计任务创造性的学科中都具有强大的概念设计工具。 对于建筑设计早期阶段,在设计、设计、素描和建模等多个阶段中也是如此。 在本文中,我们调查了基于传播的模型如何已经适用于这些任务。 我们研究了中观、 DALL-E 2 和 StaclDifl 平台在建筑设计中一系列通用案例的可适用性,以确定哪些已经可以溶解或可能很快可以溶解。 我们还分析了它们是如何通过分析一套4 000万个Midjourney查询的数据集和NLP 方法来提取共同使用模式的。 有了这一洞察,我们得出了将单个平台的优势结合起来的内外设计工作流程。