Model reference · open weights

LongCat-Image-Ed

LongCat-Image-Ed is an open-weight image model from meituan-longcat, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Image meituan-longcat 1 variants 23k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What LongCat-Image-Ed is

[//]: # ( <a href='https://meituan-longcat.github.io/LongCat-Image/'<img src='https://img.shields.io/badge/Project-Page-green'</a) Introduction We introduce LongCat-Image-Edit-Turbo, the distilled version of LongCat-Image-Edit. It achieves high-quality image editing with only 8 NFEs (Number of Function Evaluations) , offering extremely low inference latency. Installation Run Image Editing [!CAUTION] 📝 Special Handling for Text Rendering For both Text-to-Image and Image Editing tasks involving text generation, you must enclose the target text within single or double quotation marks (both English '...' / "..." and Chinese ‘...’ / “...” styles are supported). Reasoning: The model utilizes a specialized character-level encoding strategy specifically for quoted content. Failure to use explicit quotation marks prevents this mechanism from triggering, which will severely compromise the text rendering capability.

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makermeituan-longcat
TypeImage models
Variants1
Runs withtransformers
Released2026-02-03
Popularity23k downloads / month
Likes184
LicenceOpen weights

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
LongCat-Image-Edit-TurboBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys longcat-image-ed for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (longcat-image-ed below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"longcat-image-ed","prompt":"a red bicycle","size":"1024x1024"}'

Details

Languages, data & research

Languages

en zh

Tags

transformers diffusers safetensors image-to-image en zh endpoints_compatible

Papers

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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