Last night, Keling AI quietly launched a potentially disruptive new feature for the e-commerce industry—AI models. This innovation not only represents a breakthrough in technology but also demonstrates tremendous potential for commercial applications. It signifies a profound transformation in the way visual presentation is approached in the e-commerce sector.
Keling AI's raw image model "Ketu" underwent a significant upgrade in the late hours, enhancing its semantic understanding capabilities and greatly improving the realism of its output, especially for Asian portraits, which it adapts to exceptionally well, also elevating aesthetic appeal. The Ketu version 1.5 is reportedly regarded as one of the best AI models for creating Asian representations currently available.
AI Model Feature: One-Click Generation, Global Perspective
However, the most noteworthy aspect is the new feature based on Ketu 1.5—AI models. This feature, combined with Keling 1.6's image-to-video functionality, heralds a new chapter in the industrialization of e-commerce.
Users can access the AI model and AI dressing features through Ketu's "AI Try-On" interface. By simply setting parameters (such as gender, age, and skin color), high-quality AI model images can be quickly generated. Even beginners can easily get started, as Keling also offers "Recommended Trials," making one-click generation almost a reality.
The generated AI model images are not only produced quickly but also offer a global perspective, with skin color options directly influencing ethnic representation. This is particularly significant given the high costs associated with foreign models in traditional settings. Keling excels in distinguishing age and ethnicity, accurately capturing the characteristics of different groups.
AI Models + AI Dressing: A New Efficient and Convenient Clothing Display Model
The standout feature of the AI model function is its seamless integration with the AI dressing workflow. The AI models generated by users can be directly utilized in AI dressing without the need to save them locally, allowing for easy reuse in subsequent dressing processes, greatly enhancing operational convenience. By simply uploading an image of clothing, such as a collaborative sweatshirt from Gucci and Bananya, users can quickly generate images of AI models wearing the new outfits, with the clothing's fit and blending appearing very natural.
AI Video: Dynamic Display of Models, Significant Cost Reduction
The combination of AI models and AI dressing is not the end point. By integrating AI video functionality, a model can dynamically showcase clothing, even generating high-quality dynamic videos in just a few minutes. The quality of these videos raises the question of whether real models are still necessary. This not only saves costs for small businesses but also enhances efficiency, allowing them to compete visually with larger brands.
Note: The generation time for Keling can be quite long; the above video was generated by Jiemeng.
The impact of AI models extends beyond e-commerce; it may also reshape industries like film and gaming. Traditional shooting processes require significant manpower, equipment, locations, and post-production, but now all of this can be accomplished on a computer, with costs nearly zero and efficiency extremely high. The AI try-on process can save substantial costs, allowing users to try on various outfits in minutes and determine suitable clothing, even previewing results before filming begins.
For e-commerce merchants, costs related to models, locations, and shooting can be completely eliminated. In advertising, film, live streaming, and even gaming and art, any segment related to trying on clothes can see significant reductions in time and financial costs. This is no longer a science fiction fantasy but a real-world transformative shift, a redefinition of the visual economy.