允中 发自 凹非寺 量子位 | 公众号 QbitAI AI生成一张图片，你愿意等多久？ 在主流扩散模型还在迭代中反复"磨叽"、让用户盯着进度条发呆时， 阿里智能引擎 团队直接把进度条"拉爆"了—— 5秒钟 ，到手 4张2K级 高清大图。 针对Qwen最新开源模型，将SOTA压缩水平从80-100步前向计算，骤降至 2步 （Step） ，速度提升整整 40倍 。 这意味着，此前像Qwen-Image这样需要近一分钟才能吐出来的一张图片，现在真的成了"眨眼之间"。 目前，团队已将相应的Checkpoint发布至HuggingFace和ModelScope平台，欢迎开发者下载体验： 同时，该模型已经集成到呜哩AI平台上（https://www.wuli.art）支持调用。 上述这种近乎"物理外挂"般的蒸馏方案，究竟是怎么做到的？一起来看。 传统轨迹蒸馏的"细节困境" 早期的蒸馏方案[1,2]，往往可以被归纳为 轨迹蒸馏（Trajectory Distillation） 。 具体来看，其本身主要思想是希望 蒸馏后模型（student model） 能够模仿 原模型（teacher model） 在多步生成的路径： 但 ...

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Core Viewpoint - The article discusses the emergence of AI image generation models, particularly focusing on the capabilities and advancements of the Seedream 4.0 model developed by Huoshan Engine, which is positioned as a competitive alternative to existing models like Nano Banana and GPT-4o Image [2][4][69]. Group 1: AI Image Generation Models - The AI image generation field has seen significant breakthroughs this year, with models like GPT-4o generating popular images in the Ghibli style [3]. - The Nano Banana model gained attention for its ability to generate high-fidelity images and solve issues related to subject consistency, being compared to ChatGPT in the image generation space [4]. - Huoshan Engine's Seedream 4.0 model offers enhanced capabilities, including multi-image fusion, reference image generation, and image editing, with a focus on improving subject consistency [5][6]. Group 2: Features of Seedream 4.0 - Seedream 4.0 is the first model to support 4K multi-modal image generation, significantly broadening its usability [6]. - The model allows users to input multiple images and generate a high number of outputs simultaneously, showcasing its advanced multi-image fusion capabilities [10][14]. - It supports both single and multi-image inputs, enabling complex creative tasks and maintaining consistency across generated images [50][62]. Group 3: Editing and Customization Capabilities - Seedream 4.0 features strong editing capabilities, allowing users to make precise modifications to images by simply describing the desired changes in natural language [23][24]. - The model can understand and execute detailed instructions, such as replacing elements in an image or adjusting specific details like clothing folds and lighting [26][34]. - It maintains high subject consistency across different creative forms, effectively avoiding common issues like appearance distortion and semantic misalignment during multi-round edits [28][50]. Group 4: Performance and Speed - The model achieves fast image generation speeds, producing images in seconds, which enhances the creative workflow's responsiveness [36]. - With 4K output resolution, Seedream 4.0 delivers high-quality images suitable for commercial publishing, improving detail, color depth, and semantic consistency [39][41]. Group 5: Implications for AI Entrepreneurship - The introduction of context-aware dialogue capabilities in Seedream 4.0 allows for iterative image editing, making it easier for developers to create complex image products without extensive workflow management [69][76]. - This shift in API design enables a more fluid interaction with image generation tools, potentially transforming the landscape of AI image product development [69][70]. - The model's capabilities suggest new entrepreneurial opportunities in the AI image generation space, particularly for products that require iterative design and modification [67][72].