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LongCat-Image is an open-source foundation model for image generation and editing created by the LongCat team at Meituan, designed to deliver high-quality visual outputs while remaining efficient and accessible for developers and researchers. Rather than relying on massive parameter counts typical of many cutting-edge models, LongCat-Image achieves strong photorealism, stable structure, and accurate bilingual (Chinese and English) text rendering with a more compact ~6-billion parameter architecture, making it competitive with much larger alternatives despite its relatively lean design. The model excels at both text-to-image generation and instruction-guided image editing, offering users versatile capabilities for creative and practical tasks—whether generating art, mockups, or adjusting existing visuals with fine control.
Features
- Strong bilingual (Chinese/English) image generation
- Photo-realistic outputs with stable structure
- State-of-the-art instruction-guided editing
- Efficient ~6B parameter architecture
- Comprehensive open-source training ecosystem
- Better multilingual text rendering and typography
Project Samples
