又一国产图像大模型开源，实测连续P图绝了，中文渲染是短板

Core Insights - Meituan has officially released and open-sourced the image generation model LongCat-Image, which features 6 billion parameters and aims to achieve state-of-the-art (SOTA) performance in image editing and text-to-image generation [2][3] Model Structure and Performance - LongCat-Image employs a unified architecture for text-to-image and image editing, utilizing a progressive learning strategy to enhance instruction adherence, image quality, and text rendering capabilities within a 6 billion parameter framework [4][6] - The model has achieved SOTA results in various editing benchmarks, demonstrating improved style consistency and structural integrity during complex editing tasks [6][8] - LongCat-Image scored 90.7 in the ChineseWord evaluation, surpassing existing open-source models by utilizing a dataset covering 8,105 standard Chinese characters and incorporating real-world text images to enhance layout and font generalization [8][12] Practical Applications and Limitations - In practical tests, LongCat-Image showed stable performance in continuous editing tasks, maintaining character structure and style during multiple modifications [12][16] - However, the model struggles with complex text rendering, particularly in scenarios requiring detailed layouts, leading to issues such as character misalignment and text corruption [20][22] - The model performs well in product rendering tasks, accurately depicting textures and materials, but exhibits limitations in generating modern game interfaces, which appear outdated compared to current standards [25][31] Conclusion - Meituan's LongCat-Image focuses on controllability, continuous editing, and Chinese text rendering, positioning itself in the competitive landscape of image models that aim to integrate practical capabilities into design and production processes [32]