---
license: apache-2.0
language:
- en
- zh
pipeline_tag: text-to-image
library_name: transformers
---
**Quantized GGUF Version**
**Original Model Link:** [https://huggingface.co/meituan-longcat/LongCat-Image](https://huggingface.co/meituan-longcat/LongCat-Image)
**Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)
## Introduction
We introduce **LongCat-Image**, a pioneering open-source and bilingual (Chinese-English) foundation model for image generation, designed to address core challenges in multilingual text rendering, photorealism, deployment efficiency, and developer accessibility prevalent in current leading models.
### Key Features
- 🌟 **Exceptional Efficiency and Performance**: With only **6B parameters**, LongCat-Image surpasses numerous open-source models that are several times larger across multiple benchmarks, demonstrating the immense potential of efficient model design.
- 🌟 **Powerful Chinese Text Rendering**: LongCat-Image demonstrates superior accuracy and stability in rendering common Chinese characters compared to existing SOTA open-source models and achieves industry-leading coverage of the Chinese dictionary.
- 🌟 **Remarkable Photorealism**: Through an innovative data strategy and training framework, LongCat-Image achieves remarkable photorealism in generated images.
[//]: # (For more details, please refer to the comprehensive [***LongCat-Image Technical Report***](https://arxiv.org/abs/2412.11963).)
## 🎨 Showcase