Creating Beyond Words: Generative AI As An Artist Tool
delve into the history and capabilities of text-based generative AI tools with a focus on the what-about and how-to of Stable Diffusion
Workshop Intro / 工作坊介绍
Over the past year, the unprecedented advancement in text-based generative AI models has sparked widespread attention, discussion, and mainstream adoption of these innovative co-creative interfaces, which has resulted in novelty, excitement, and curiosity, as well as concern, anger, and insult.
在过去短短的一年中，以文字作为输入的生成式人工智能模型取得了前所未有的进展，引起了广泛的关注和讨论，并得到了主流采用。这些创新的协作界面带来了新颖、令人兴奋和好奇的体验，同时也引发了担忧、愤怒和质疑。
Alongside this, the booming open-sourced text-to-image model development contributes to expanding access to working with AI tools beyond experts, tech giants, and professional technologists. Among all these open-sourced treasures, the recently-released Stable Diffusion text-to-image model by stability.ai outperforms for its fast training speed, highly customizable settings, and impressive generating quality.
与此同时，蓬勃发展的开源的文本到图像模型的开发极大地拓宽了AI工具的使用范围，使它不再专属于科技巨头和专业人员，而走向更广阔的群体。在所有这些开源宝藏中，去年八月发布的 stability.ai 的 Stable Diffusion 文本到图像模型在快速训练速度、高度可定制的设置和印象深刻的生成质量方面表现尤为出色。
In this workshop led by new media artist Tong Wu, we will delve into the history and capabilities of text-based generative AI tools with a focus on the what-about and how-to of the Stable Diffusion model. Together we will look at the potential of AI tools like Stable Diffusion in exploring new modes of content creation and helping us re-examine our language pattern. We’ll also discuss how such tools could revolutionize the workflows of poets, writers, and artists, and what are the caveats and things we should look out for when we’re creating with these AI models considering the ways in which AI is emerging as a new, socially-engaged creative agent.
在这个由 新媒体艺术家Tong Wu 主持的工作坊上，我们将了解基于文字输入生成图像的AI工具的发展历史和以及功能，并学习 Stable Diffusion 模型如何帮助我们重新审视语言模式，探索新的创作方式。我们也将讨论生成式的AI工具如何革新给诗人、作家和艺术家的创作流程， 以及AI作为一个新兴的，具有社会属性的创作代理可能带来的创作关系变革。
delve into the history and capabilities of text-based generative AI tools with a focus on the what-about and how-to of Stable Diffusion
Workshop Intro / 工作坊介绍
Over the past year, the unprecedented advancement in text-based generative AI models has sparked widespread attention, discussion, and mainstream adoption of these innovative co-creative interfaces, which has resulted in novelty, excitement, and curiosity, as well as concern, anger, and insult.
在过去短短的一年中，以文字作为输入的生成式人工智能模型取得了前所未有的进展，引起了广泛的关注和讨论，并得到了主流采用。这些创新的协作界面带来了新颖、令人兴奋和好奇的体验，同时也引发了担忧、愤怒和质疑。
Alongside this, the booming open-sourced text-to-image model development contributes to expanding access to working with AI tools beyond experts, tech giants, and professional technologists. Among all these open-sourced treasures, the recently-released Stable Diffusion text-to-image model by stability.ai outperforms for its fast training speed, highly customizable settings, and impressive generating quality.
与此同时，蓬勃发展的开源的文本到图像模型的开发极大地拓宽了AI工具的使用范围，使它不再专属于科技巨头和专业人员，而走向更广阔的群体。在所有这些开源宝藏中，去年八月发布的 stability.ai 的 Stable Diffusion 文本到图像模型在快速训练速度、高度可定制的设置和印象深刻的生成质量方面表现尤为出色。
In this workshop led by new media artist Tong Wu, we will delve into the history and capabilities of text-based generative AI tools with a focus on the what-about and how-to of the Stable Diffusion model. Together we will look at the potential of AI tools like Stable Diffusion in exploring new modes of content creation and helping us re-examine our language pattern. We’ll also discuss how such tools could revolutionize the workflows of poets, writers, and artists, and what are the caveats and things we should look out for when we’re creating with these AI models considering the ways in which AI is emerging as a new, socially-engaged creative agent.
在这个由 新媒体艺术家Tong Wu 主持的工作坊上，我们将了解基于文字输入生成图像的AI工具的发展历史和以及功能，并学习 Stable Diffusion 模型如何帮助我们重新审视语言模式，探索新的创作方式。我们也将讨论生成式的AI工具如何革新给诗人、作家和艺术家的创作流程， 以及AI作为一个新兴的，具有社会属性的创作代理可能带来的创作关系变革。