AI-Powered Cultural Product Innovation
Research on the Design Path of Local Cultural and Creative Products Empowered by AIGC-A Case Study of the Hebei Province Local Culture
Author: Jinling Du
This paper explores the application paths of AIGC technology in the design of local cultural and creative products, focusing on Hebei Province. Through systematic review and in-depth analysis of local cultural resources combined with AIGC's image and text generation capabilities, a design process and method are proposed. The research concludes that AIGC significantly improves the efficiency and innovation of local cultural and creative product design, offering new ideas for cultural inheritance and promotion.
Key Impacts of AIGC in Cultural Design
AIGC technology offers transformative potential for cultural and creative industries, streamlining design processes and fostering innovation while preserving heritage.
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Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
1.1 The Value and Role of Cultural and Creative Products in the Context of Digital Transformation
Cultural and creative products reinterpret cultural factors inherent in relics, presenting them in contemporary forms to provide spiritual fulfillment. They are key carriers of national cultural inheritance and development, promoting "cultural self-confidence." In the digital era, with rapid advancements in AI, virtual reality, and the Internet, the design of these products has an expanded creative space, becoming a core engine for the cultural industry.
1.2 The Definition, Technical Principles, and Application Potential of AIGC
Artificial Intelligence Generated Content (AIGC) uses AI algorithms to generate diverse content by learning human behavioral characteristics from large datasets. It leverages technologies like Generative Adversarial Networks (GANs), Diffusion Models, and Natural Language Processing Models (e.g., Transformer Models) to recognize patterns and generate new data, images, text, and sounds. AIGC is now a significant productivity driver in product design, reshaping creative domains and offering innovative paths to preserve and revitalize traditional heritage.
1.3 The Research Approach and Core Findings of This Study on Hebei's Local Cultural and Creative Products
This paper cross-fertilizes AIGC with design disciplines, extracts local cultural elements of Hebei, and utilizes AI image generation software. The study aims to verify how AIGC optimizes the design process for local cultural and creative products, brings new momentum to local cultural development, and proposes innovative ideas for promoting local culture and creating economic benefits.
2.1 Local cultural data collection and pre-processing
Hebei Province's diverse cultural resources, including historical, revolutionary, intangible heritage, folklore, and food culture, offer abundant design materials. Specific classifications include: historical cultural heritage (Zhaozhou Bridge, Chengde Summer Resort), revolutionary culture (Xibaipo spirit, heroic deeds), intangible cultural heritage (Hebei Opera, Wuqiao acrobatics, Weixian paper cuttings), folklore culture (Anguo medicinal herb market, Hebei Zhongxiang Sheng Guanle), and food culture (Baoding Donkey Meat Hot Pot Roast, Tangshan Chess Crackers).
Data is collected through field trips, literature research, and interviews. Typical elements like Zhaozhou Bridge's structural elements, Zhongshan State's ancient weaponry, and red culture's revolutionary spirit are extracted and organized to guide AIGC applications.
2.2 Selection and Application of AIGC Tools
AIGC is widely applied in text, image, music, film, and television, with leading companies like OpenAI, Google, and Adobe offering tools like ChatGPT, Midjourney, and Stable Diffusion. Chinese companies like Baidu, Alibaba, Tencent, Xunfei Starfire, and Wenxin Yiyin also provide their own AI technologies. Designers choose appropriate AIGC tools (e.g., Midjourney or Instant Dream for images; Wenxin Yiyin or DeepSeek for text) based on the specific characteristics of Hebei's local culture and design needs.
2.3 Design Path Construction and Case Practice
The core challenge is effectively combining content and medium using AIGC. This study uses Hebei's local cultural elements and AIGC tools to design cultural products. The process involves data collection for target cultural characteristics, keyword extraction, and self-prompt generation by AI tools. The prompt guides the AI to generate images, with reference images and parameter adjustments ensuring accuracy and alignment with user needs. This method prevents AI fabrication and improves design efficiency.
3 Conclusion
This thesis demonstrates that AIGC technology significantly enhances design efficiency and innovation in local cultural creative product design, fostering cultural heritage and regional economic development. The design process involves: extracting cultural elements, detailing generation instructions (themes, styles), using AIGC tools for content generation and optimization, and applying the results to products like souvenirs.
AIGC deftly unearths and manifests the multilayered meanings of traditional regional cultures, fusing classic art forms with contemporary aesthetics. While local cultural design still faces challenges and AIGC has not achieved full coverage of the design process, designers must leverage this technology professionally. AIGC is poised to become a core design tool, opening new avenues for cultural innovation, dissemination, and economic growth.
Enterprise Process Flow: AIGC-Empowered Cultural Product Design
Cultural Data Collection
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Element Extraction & Keywords
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AIGC Tool Selection
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Prompt Formulation
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Initial Image Generation
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Optimization & Adjustment
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Final Product Design
Case Study: Zhaozhou Bridge Cultural Products via AIGC
This paper focuses on the Zhaozhou Bridge as a core element for design practice, aiming to promote local publicity. Located in Shijiazhuang, Hebei Province, the Zhaozhou Bridge is a stone arch bridge renowned for its structure, exquisite stone carvings, and rich historical stories.
Through AI analysis of collected data, keywords and elements like "long history," "wisdom of working people," "pioneering open-shoulder arch structure," "massive, solemn, and elegant stone carvings," and "resort" were summarized. This formed a mind map guiding the design process.
Using the "Instant Dream" AI tool, based on collected information and AI-generated prompts, various image scenarios were created. The process involved defining design themes and cultural symbols, uploading reference images (like the bridge) to the AI tool, and inputting text prompts. Parameters for style intensity and detail richness were adjusted to balance cultural elements. This iterative process of generation, evaluation, and modification of prompts and reference images led to satisfactory design drawings (e.g., Figures 3 and 4, showcasing decorative items, smartphone stands, and incense holders inspired by Zhaozhou Bridge).
This case demonstrates that AIGC significantly enhances the effectiveness of integrating local cultural elements into creative products, strongly supporting the dissemination and promotion of local culture. It highlights the potential for innovative paths that both preserve and revitalize traditional heritage.
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Your AI Implementation Roadmap
A structured approach to integrating AIGC into your design workflows for maximum impact and cultural preservation.
Phase 1: Discovery & Strategy
Comprehensive audit of existing cultural assets and design processes. Define clear objectives for AIGC integration and identify key cultural elements for digitization.
Phase 2: Data Curation & Model Training
Collect, pre-process, and organize diverse cultural data (images, texts, historical records). Select and fine-tune AIGC models for generating culturally accurate and innovative designs.
Phase 3: Pilot Project & Iteration
Launch a pilot project focusing on specific cultural products (e.g., Zhaozhou Bridge souvenirs). Iterate on prompt engineering and model outputs based on feedback and quality assessment.
Phase 4: Scaling & Integration
Integrate AIGC tools into broader design workflows and train design teams. Expand AIGC application to a wider range of cultural products and promotional materials.
Phase 5: Performance Monitoring & Optimization
Continuously monitor the efficiency, innovation, and cultural fidelity of AIGC-generated content. Adapt strategies and tools to evolving cultural trends and technological advancements.
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