How AIGC Is Revolutionizing Visual Design: Insights from the ZXD Team
This report examines the rapid rise of AI‑generated content (AIGC) in visual design since early 2023, detailing tool adoption, usage patterns across design roles, practical applications, case studies, knowledge accumulation, and the challenges and future outlook for integrating AI into design workflows.
Introduction
Since early 2023, AIGC has rapidly developed and profoundly impacted the visual design field. Tools such as Stable Diffusion and Midjourney have become indispensable for designers, boosting creation efficiency and expanding creative possibilities.
Report Overview
AIGC usage status
Project practice
Knowledge accumulation
Summary and outlook
AIGC Usage Status
1. Frequency among Designers
Marketing designers, who need to produce many posters and KV, use AIGC most frequently; growth designers use it moderately; UI designers, focused on interaction, use it the least.
2. Opportunities for Applying AIGC
Based on daily work needs, we identified concrete AI application points:
Creative reference: provide diverse ideas to enrich design inspiration.
Decorative elements: generate overlays, cards, icons, and other auxiliary assets.
Poster material: generate scenes from keywords or achieve 2D‑to‑3D effects.
Promotion hero images: produce varied styles for H5 header graphics.
Video/3D models: explore text‑to‑video and 3D model generation capabilities.
AIGC Advantages and Challenges
After using AI tools for a period, different designers expressed varied views on the benefits and challenges of AI.
Project Practice (Case Studies)
Marketing Campaigns
Case 1 – Card series; Case 2 – Travel "Xiao Zhi" series; Case 3 – Platform festival promotion; Case 4 – Hotel exam series.
Illustration Series
Case 1 – Graduation poster; Case 2 – Postcard.
Real‑World Images
Case 1 – International brand character; Case 2 – International scenery.
Knowledge Accumulation
1. AIGC Asset Library
We built a library of frequently used elements, enriching visual assets and simplifying reuse, which improves overall team efficiency and quality.
2. Lora Model Training
Trained custom IP "Xiao Zhi" models, 3D background models, and style‑specific LoRA models (e.g., expansion, clay) to ensure generated content matches the ZXD brand.
3. Prompt Summary
Compiled keyword command templates so other designers can quickly obtain desired assets while maintaining consistent style.
4. Workflow
Established three effective workflows covering most design tasks.
Summary and Outlook
Overall, as AIGC technology continues to advance, the ZXD design team has markedly improved design efficiency and creative expression. Tools such as Stable Diffusion and Midjourney now offer better controllability, local adjustments, and style consistency, enabling the team to complete complex tasks faster and with higher quality. Nevertheless, challenges remain: rapid tool evolution demands continuous learning; preserving design uniqueness and brand identity is essential; and human‑AI collaboration becomes the new norm, requiring refined workflows and knowledge sharing to maintain consistency and efficiency.
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Zhixing ZXD Design Center
The Zhixing Experience Design team (ZXD) leads innovative UX design and research for Zhixing Train Ticket, aiming to deliver smarter, more caring, and warmer product experiences.
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