LongCat Image
Create professional posters and UI mockups with LongCat-Image. The open-source model that masters bilingual text and complex edits.
What is LongCat-Image?
LongCat-Image is a state-of-the-art 6-billion parameter (6B) text-to-image foundation model developed by the Meituan. Designed to bridge the gap between heavy proprietary models and efficient open-source solutions, LongCat specializes in high-fidelity text rendering and precise instruction following.
Model Specifications
| Parameter | Description |
|---|---|
| Developer | Meituan |
| Cost | 30 credits per image |
| Speed | Fast (<15s) |
| Text Rendering | Native support for Chinese & English (High Accuracy) |
| Visual Style | Photorealistic, Commercial, Clean Design |
| Max Resolution | 1K |
Key Features
High-Efficiency 6B Architecture
LongCat-Image challenges the industry trend of massive parameter counts. By optimizing a dense 6B structure, it offers significantly faster inference speeds and lower VRAM consumption than models like SDXL or Flux, without compromising on visual quality for commercial tasks.
Native Bilingual Text Rendering
The model employs a specialized tokenizer and curriculum learning strategy that solves the "gibberish" text problem. This stands in stark contrast to ultra-lightweight open-source models like z-image; while z-image is known for its small footprint, its text rendering quality is far inferior, frequently resulting in illegible artifacts or garbled characters.
Instruction-Based Image Editing
The ecosystem includes LongCat-Image-Edit, a variant designed for precise image manipulation. Users can modify existing images using natural language instructions while strictly preserving the structural integrity and identity of the original subject.
Prompt Guide
To achieve optimal results with LongCat-Image, particularly for text generation, follow these specific formatting rules:
Text Trigger: You must enclose any text you wish to generate within double quotes
"".Wrong: A sign that says Open
Right: A neon sign that reads "Open"
Structure:
[Subject Description], [Style/Lighting], [Text Requirement]Example 1 (Advertising):
Professional product shot of a juice bottle on a podium, surrounded by oranges, splash of water, text on label reads "Fresh", 8k resolution, cinematic lighting.
Example 2 (Bilingual):
Traditional Chinese new year poster, red background with gold patterns, large calligraphy text in center reads "龙年大吉", vector art style.
Use Cases
E-Commerce & Marketing Assets Create production-ready banners and product backdrops. LongCat-Image excels at placing brand names and slogans directly onto packaging or signage in a photorealistic manner, significantly reducing the dependency on external photo-editing software for text overlay.
User Interface (UI) Prototyping Designers can generate mobile app interfaces and website headers with legible placeholder text. This allows for rapid ideation of layouts where the text elements are visually coherent, providing clients with a realistic preview of the final product.
Precise Asset Modification Using the editing capabilities, creative professionals can alter specific elements of an image—such as changing a model's outfit or adjusting the time of day—without distorting the rest of the composition.
Why Choose Somake
Instant Cloud Deployment
Somake removes the hardware barrier. LongCat-Image requires significant GPU resources to run locally; Somake provides instant, high-speed access to the model via our optimized cloud infrastructure, allowing you to generate images in seconds without setup.
Production-Grade Workflow
We integrate LongCat into a professional pipeline. Somake enables seamless switching between generation and editing modes, and offers tools to upscale and refine the model's output, streamlining the process from prompt to final asset.
Global Market Readiness
Somake leverages LongCat’s unique bilingual strength to serve international teams. Whether you are targeting Western markets or the massive APAC audience, our integration ensures your visual content is linguistically accurate and culturally relevant.
