Application of AI Image Technology in Ink Wash Composition for Sichuan Tea Packaging Design

CHEN Zhou

Packaging Engineering ›› 2026, Vol. 47 ›› Issue (16) : 531-541.

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (16) : 531-541. DOI: 10.19554/j.cnki.1001-3563.2026.16.047
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Application of AI Image Technology in Ink Wash Composition for Sichuan Tea Packaging Design

  • CHEN Zhou
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Abstract

The work aims to integrate AI image technology into ink wash composition experiments, and utilize the generated ink wash imagery to create Sichuan tea packaging designs in the ink wash style, so as to explore artificial intelligence's capabilities in ink wash composition forms, brushwork language, artistic styles, packaging design solutions, and visualization. For methodologies, comprise literature analysis and experimental approaches were employed. For the literature review, the latest advancements and operational principles of AI image technology were systematically examined. For the experimental phase, Jiemeng AI, ChatGPT, Midjourney models, and the "Pacdora" online design platform were used to evaluate the effectiveness of applying ink wash composition techniques and ink wash-style design to Sichuan tea packaging. The research demonstrates that AI image models can resolve challenges in texture variation, brushwork language, compositional patterns, and stylistic fusion. Furthermore, they can complete the entire design workflow, including packaging box design, material selection, and rendering generation, according to specifications. Questionnaire surveys reveal that AI-generated ink-wash style packaging designs for Sichuan tea possess high consumer acceptance and market potential.

Key words

AI image technology / ink wash composition / Sichuan tea packaging design

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CHEN Zhou. Application of AI Image Technology in Ink Wash Composition for Sichuan Tea Packaging Design[J]. Packaging Engineering. 2026, 47(16): 531-541 https://doi.org/10.19554/j.cnki.1001-3563.2026.16.047

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