What Is LongCat Image?
LongCat Image is Meituan LongCat Team’s 6B bilingual foundation model. It targets Chinese and English text rendering, photorealistic output and deployment efficiency while remaining substantially smaller than many current open generators.
What Is LongCat Image Best For?
- Chinese display text
- Bilingual posters
- Photorealistic scenes
- Open-model experimentation
How to Use LongCat Image
- Write a Chinese, English or bilingual prompt.
- Quote all required text.
- Develop the composition at 1K.
- Use 2K only for the final chosen seed.
LongCat Image Settings Explained
Guidance
4.5 is the documented balance between literal adherence and visual naturalness.
Steps
28 is the endpoint default; test a fixed seed before increasing it.
The panel above shows only the parameters LongCat Image actually supports. Switch versions and unsupported controls disappear rather than sitting there doing nothing.
LongCat Image Prompt Examples
Bilingual campaign
现代城市文化节海报,准确标题“城市漫游 URBAN WALK”,黑白街头摄影,亮红色网格元素,清晰中文排版
Photoreal scene
Rainy evening noodle shop in Chengdu, warm steam, wet pavement reflections, natural documentary photography, subtle film grain
LongCat Image Test Results
Testing in progress
Every model runs the same eight-category prompt set — portrait, product, poster text, anime character, interior, multi-reference, image editing and character consistency — recording generation time, success rate, text accuracy and identity retention. That run has not finished for LongCat Image, so this page shows no scores. We do not publish numbers we have not measured.
LongCat Image Limitations
- Text-to-image only on this endpoint
- The verified hosted route has a higher per-megapixel price
- Use 1K while iterating
LongCat Image Pricing and Credits
Credits scale with resolution and image count. The Generate button always shows what this run costs.
1K
7 credits / image
2K
28 credits / image
Failed generations cost 0 credits.
Commercial Use and Image Rights
LongCat Image is released under Apache 2.0; generated use remains subject to applicable law and service terms.
- Model used: LongCat Image
- Model developer: Meituan LongCat
- The inference route is managed internally and may change without changing the selected model
- Uploads are sent only to the configured inference service needed to complete the generation
- You can delete any generation from your history at any time
Frequently Asked Questions
Who developed LongCat Image?+
The model and official open-source repository are published by Meituan LongCat Team.
Why does it cost more credits?+
The current hosted endpoint charges materially more per output megapixel than lightweight draft models.
Model Updates and Changelog
- 2026-08-25 —— Added the exact active LongCat Image route with conservative pixel-priced credits.
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