Creative Process Transformation through Generative AI Models
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Abstract
Generative artificial intelligence (AI) is reshaping creative industries, transforming how art, design, and storytelling are conceived and produced. In recent years, tools such text-to-image systems and large language models have moved from research laboratories into everyday creative workflows, making advanced capabilities accessible to professionals and matures alike. These technologies enable rapid idea generation, personalized outputs, and exploration of new aesthetic possibilities, but they also raise important questions about authenticity, authorship, and the role of human creativity. This review highlights key technological advances, such as diffusion models and personalization techniques alongside their impact on visual arts, design and writing. While AI expands creative potential and accelerates processes, challenges remain in balancing novelty with perceived authenticity and designing interfaces that support meaningful human–AI collaboration. Understanding these dynamics is essential as generative AI becomes a mainstream partner in creative practice.
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