This paper explores the integration of generative AI into the field of art therapy. Leveraging proven text-to-image models, we introduce a novel technical design to complement art therapy. The resulting AI-based tools shall enable patients to refine and customize their creative work, opening up new avenues of expression and accessibility. Using three illustrative examples, we demonstrate potential outputs of our solution and evaluate them qualitatively. Furthermore, we discuss the current limitations and ethical considerations associated with this integration and provide an outlook into future research efforts. Our implementations are publicly available at https://github.com/BFH-AMI/sds24.

翻译：本文探讨了生成式人工智能在艺术治疗领域的融合应用。我们利用成熟的文生图模型，提出了一种新颖的技术设计以辅助艺术治疗。由此开发的基于人工智能的工具将使患者能够优化和定制其创作作品，开辟表达与可及性的新途径。通过三个示例，我们展示了解决方案的潜在产出并进行了定性评估。此外，我们讨论了当前该融合应用的局限性与伦理考量，并对未来研究方向进行了展望。我们的实现代码已在 https://github.com/BFH-AMI/sds24 公开。