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花49元试了下Lovart国内版,集结数十个模型的设计Agent能有多强?
机器之心·2025-07-09 09:52

Core Viewpoint - The article discusses the launch and evaluation of Xingliu Agent, a domestic version of Lovart, focusing on design and creative content generation capabilities, highlighting its features, user experience, and the team behind it [2][3][82]. Group 1: Product Overview - Xingliu Agent is designed for generating various creative content, including images, videos, logos, posters, and 3D models, utilizing top models like F.1, Kling, Qwen, and hailuo02 [4][3]. - Users can access the platform without an invitation, with initial free trials and a points system for further usage [5][6]. Group 2: User Experience - The interface is user-friendly, divided into sections for tools, generator settings, output previews, and AI dialogue [9][8]. - The article details the process of creating a high-end fashion poster, noting both successful outputs and issues with Chinese text generation [12][19]. - The platform also allows for the creation of emoji packs and brand logos, although it faced challenges with text accuracy and layout [25][31]. Group 3: Performance Evaluation - The article highlights the strengths of Xingliu Agent in generating aesthetically pleasing images, particularly in photography styles, while noting weaknesses in detail accuracy and text generation [33][40]. - The platform's ability to generate 3D models and videos is discussed, with mixed results in quality and efficiency [50][46]. Group 4: Pricing and Recommendations - Xingliu Agent offers three subscription plans, with the lowest costing 49 yuan per month, allowing for limited tasks, which may lead to rapid depletion of points [79]. - The article suggests that for high-quality, detailed outputs, users may prefer specialized AI tools, while Xingliu Agent is suitable for quick, less detailed creations [81]. Group 5: Team Background - The team behind Xingliu Agent shares a background with Lovart, led by Wang Haofan, who has a history of developing successful AI projects [82][86]. - The founding team includes members with experience from prestigious institutions and companies, indicating a strong technical foundation [94][95].