AI职业照
Search documents
从摄影棚到Prompt:锦秋基金用AI拍了组官网团队照片
锦秋集· 2025-10-11 08:59
Core Insights - The article discusses the use of AI technology to generate professional photos for a company, highlighting the advancements in AI models that can produce high-quality images suitable for corporate branding [3][36]. Group 1: AI Application in Professional Photography - The company tested 10 latest AI image generation models, including Google’s Nano-Banana and ByteDance’s Seedream 4.0, finding that some models are approaching a "ready-to-use" standard in maintaining identity consistency [3][36]. - Due to logistical challenges in gathering team members for a photoshoot, the company decided to utilize AI to generate the required professional images instead [4][5]. Group 2: Model Performance and Selection - Seedream 4.0 was chosen for its superior performance in facial consistency, skin texture, and lighting details compared to Nano-Banana, making it the primary tool for generating the professional photos [20][24]. - The AI-generated images were able to present natural expressions and maintain a high level of detail, which is often difficult to achieve in traditional photography [24][30]. Group 3: Future Implications of AI in Corporate Identity - The experiment indicates a shift where AI-generated professional photos can become a sustainable asset for companies, allowing for continuous updates to team images rather than being static [36][38]. - AI technology enables a new approach to corporate branding, allowing for personalized expressions within a unified style, thus enhancing the relationship between companies and their visual assets [37][38]. Group 4: Challenges and Limitations - Some team members expressed dissatisfaction with the AI-generated images, particularly regarding facial expressions, indicating that current models struggle with nuanced emotional representation [39][41]. - The article notes that while AI can generate high-quality images, there are still challenges in achieving natural poses and expressions, suggesting a need for further refinement in AI capabilities [41].