
LongCat-Image is tuned for real Chinese usage, so commonly used characters and phrases stay sharp and stable. You can lay out posters, social cards, and banners with bilingual text in a single prompt without random strokes or distorted glyphs.

Through careful data curation and training, LongCat-Image produces portraits, product shots, and interior scenes with natural skin tones, detailed materials, and balanced light and shadow. It works well for thumbnails, catalog images, and mockups where viewers expect something close to a real photo. If you also work with motion, it pairs naturally with LongCat-Video so stills and clips can share the same visual style.

The LongCat-Image-Edit variant focuses on modifying existing pictures based on short instructions. You can swap objects, adjust backgrounds, or change color moods while keeping the original framing and perspective, which is useful for refining product photos or updating marketing materials without re-shooting.

Alongside the main model, LongCat-Image-Dev exposes mid-training checkpoints for custom fine-tuning, while the project offers training code, LoRA adapters, Diffusers pipelines, and ComfyUI integrations. This makes it easier to create house styles or domain-specific looks without training a model from scratch.

Choose this model to create new images from text or to transform an existing picture.
Write a prompt that covers subject, setting, style, and any Chinese or English wording you want to appear in the image. For editing tasks, briefly explain what should change and what should stay the same.
Adjust guidance, steps, and strength until the result fits your project. Once you’re satisfied, download the image, or send it into other tools like the AI video generator when you want to build short clips around the same visuals.
Open GoEnhance AI, choose LongCat-Image, and turn detailed prompts into bilingual posters, photoreal portraits, and edit-ready images in just a few steps.