--- license: apache-2.0 language: - en - zh pipeline_tag: image-to-image library_name: transformers --- **Quantized GGUF Version** **Original model Link:** [https://huggingface.co/meituan-longcat/LongCat-Image-Edit](https://huggingface.co/meituan-longcat/LongCat-Image-Edit) **Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)

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## Introduction We introduce **LongCat-Image-Edit**, the image editing version of Longcat-Image. LongCat-Image-Edit supports bilingual (Chinese-English) editing, achieves state-of-the-art performance among open-source image editing models, delivering leading instruction-following and image quality with superior visual consistency.

### Key Features - 🌟 **Superior Precise Editing**: LongCat-Image-Edit supports various editing tasks, such as global editing, local editing, text modification, and reference-guided editing. It has strong semantic understanding capabilities and can perform precise editing according to instructions. - 🌟 **Consistency Preservation**: LongCat-Image-Edit has strong consistency preservation capabilities, specifically scrutinizes whether attributes in non-edited regions, such as layout, texture, color tone, and subject identity, remain invariant unless targeted by the instruction, is well demonstrated in multi-turn editing. - 🌟 **Strong Benchmark Performance**: LongCat-Image-Edit achieves state-of-the-art (SOTA) performance in image editing tasks while significantly improving model inference efficiency, especially among open-source image editing models. ## 🎨 Showcase