AI生图大洗牌！流匹配架构颠覆传统，一个模型同时接受文本和图像输入

Core Viewpoint - The article discusses the breakthrough of the new AI model FLUX.1 Kontext, which utilizes flow matching architecture to accept both text and image inputs, enabling advanced context generation and editing capabilities [2][3]. Group 1: Model Features - FLUX.1 Kontext offers two versions: the professional version for rapid iteration and the high-end version that improves adherence to prompts and consistency [7]. - The model has four key features: character consistency across scenes, localized editing, style reference for new scene generation, and minimal latency for interaction [11]. Group 2: Performance Comparison - Third-party platform Replicate conducted tests showing FLUX.1 Kontext outperforms OpenAI's 4o model in quality and cost-effectiveness, with better color accuracy [12]. Group 3: Editing Techniques - For image editing, maintaining character identity is crucial regardless of the size of changes made [15]. - Complex changes, such as adding characters or altering backgrounds, should be described in multiple steps for optimal results [18]. - Style transfer tasks benefit from specific art styles or artist references to achieve better outcomes [19]. Group 4: Text Editing Capabilities - The model supports adding, deleting, and modifying text on images, with specific guidelines for maintaining readability and layout [22][25]. - Clear instructions on which elements to retain are essential for effective text editing [25]. Group 5: User Guidance - Detailed and specific descriptions yield better results in editing tasks, emphasizing the importance of clarity in instructions [20][37]. - The article provides a summary of effective prompt techniques for using FLUX.1 Kontext, highlighting the need for precise language and structured editing steps [34][37].