Text-to-image generation (TTIG) models, a recent addition to creative AI, can generate images based on a text description. These models have begun to rival the work of professional creatives, and sparked discussions on the future of creative work, loss of jobs, and copyright issues, amongst other important implications. To support the sustainable adoption of TTIG, we must provide rich, reliable and transparent insights into how professionals perceive, adopt and use TTIG. Crucially though, the public debate is shallow, narrow and lacking transparency, while academic work has focused on studying the use of TTIG in a general artist population, but not on the perceptions and attitudes of professionals in a specific industry. In this paper, we contribute a qualitative, exploratory interview study on TTIG in the Finnish videogame industry. Through a Template Analysis on semi-structured interviews with 14 game professionals, we reveal 12 overarching themes, structured into 49 sub-themes on professionals' perception, adoption and use of TTIG systems in games industry practice. Experiencing (yet another) change of roles and creative processes, our participants' reflections can inform discussions within the industry, be used by policymakers to inform urgently needed legislation, and support researchers in games, HCI and AI to support the sustainable, professional use of TTIG to benefit people and games as cultural artefacts.

翻译：文本生成图像（TTIG）模型作为创意人工智能领域的最新成员，能够根据文本描述生成图像。这些模型已开始与专业创意人士的作品相媲美，并引发了关于创意工作未来、失业问题、版权争议及其他重要影响的讨论。为支持TTIG的可持续采纳，我们必须提供丰富、可靠且透明的洞见，揭示专业人士如何认知、采纳与使用TTIG。然而，当前公众讨论流于浅薄、狭隘且缺乏透明度，而学术研究虽聚焦于TTIG在一般艺术家群体中的使用，却未涉及特定行业专业人士的认知与态度。本文通过对芬兰电子游戏行业的定性探索性访谈研究，基于对14位游戏专业人士的半结构化访谈进行模板分析，揭示出12个总括性主题，这些主题被结构化为49个关于游戏行业实践中专业人士对TTIG系统认知、采纳与使用的子主题。参与者经历了（又一轮）角色与创作过程的转变，他们的反思可为行业内部讨论提供参考，帮助政策制定者推动亟待出台的立法，并支持游戏、人机交互及人工智能领域的研究人员，促进TTIG在专业领域中的可持续应用，使人和游戏作为文化产物受益。