Revolutionizing E-commerce Design: Alibaba's AIGC Approach to Creating Product Images

In the digital age, artificial intelligence has revolutionized the way designers create content. AI-generated designs can quickly produce brand-aligned advertising materials, stunning product photography, and eye-catching e-commerce main images. This article explores how AIGC (AI-generated content) can be leveraged to create compelling product visuals, with a focus on the pharmaceutical e-commerce sector.

Traditionally, creating a television commercial (TVC) or product photograph involves extensive preparation, including planning, creative conceptualization, prop selection, set design, photography equipment setup, lighting, and post-production editing. This process often requires a team of skilled professionals or a versatile photographer. Similarly, e-commerce product photography aims to showcase a product's features and appeal to potential buyers. With the introduction of AI, this process can be streamlined and enhanced.

Two primary methods for AI-assisted image generation are discussed: 1. Using Midjourney's /describe command for generating complex scene images without specific products. 2. Utilizing Midjourney's /imagine command to create images with specific products. The article provides step-by-step instructions on how to use these commands effectively, including tips on prompt engineering and parameter adjustments to achieve desired results.

A detailed case study is presented, focusing on creating main images for women's health products. The process involves: 1. Using ChatGPT to generate relevant keywords and creative ideas. 2. Refining prompts based on product information and AI suggestions. 3. Collecting reference images for style guidance. 4. Generating images using Midjourney with carefully crafted prompts. 5. Fine-tuning results through multiple iterations. The article showcases examples of generated images and explains how to adapt the process for different products and scenarios.

To enhance the quality and realism of AI-generated images, the article suggests: 1. Using image prompts (seed images) to maintain style consistency. 2. Incorporating specific camera and lighting terminology in prompts. 3. Adjusting parameters such as aspect ratio, quality, and stylization. 4. Utilizing Stable Diffusion for post-processing and improving image integration. 5. Paying attention to shadow and lighting details for a more photorealistic appearance.

The article concludes by emphasizing the rapid development of AI in design and its potential to significantly reduce production time and costs. It encourages designers to embrace these tools as essential skills for the future, while also noting that the field is constantly evolving with new solutions emerging regularly. The author invites readers to stay updated on AI developments in design through the Alibaba Health Design WeChat public account.