LongCat for Text to Image

LongCat‑Image is a 6B‑parameter text‑to‑image (and image‑edit) foundation model focused on photorealism and extremely accurate English/Chinese text rendering in images.

What it is

• An open‑source model from Meituan that generates and edits images from text prompts, using a Flux‑style diffusion backbone plus a Qwen2.5‑VL text encoder.

• Built to be smaller and faster than many flagship models while still matching or beating them on realism and text‑in‑image benchmarks.

Key features

• Strong photorealism and material rendering (skin, fabric, lighting) for commercial‑quality images.

• Bilingual text rendering: handles Chinese and English text in images with high spelling accuracy by treating quoted text at character level.

• Unified generation + editing: a paired LongCat‑Image‑Edit variant supports precise inpainting/outpainting and instruction‑based edits while preserving structure and identity.

• Efficient 6B architecture yields fast inference and lower VRAM use than SDXL/Flux‑class models, especially in cloud or optimized runtimes.

Best use cases

• Posters, ads, and UI mockups that need clean layout plus correctly spelled Chinese/English text (titles, buttons, labels, signage).

• Photoreal product and lifestyle images for marketing, where realism and brand‑safe detail matter.

• Image editing tasks like background changes, object insertion/removal, or text replacement in existing visuals using natural‑language instructions.