Model reference · open weights

Qwen-Image-Ed-2511

Qwen-Image-Ed-2511 is an open-weight image model from Qwen, 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 Qwen 1 variants 254k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What Qwen-Image-Ed-2511 is

💜 <a href="https://chat.qwen.ai/"<bQwen Chat</b</a&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-Edit-2511"Hugging Face</a&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-Edit-2511"ModelScope</a&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/QwenImage.pdf"Tech Report</a &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qwenlm.github.io/blog/qwen-image-edit-2511/"Blog</a &nbsp&nbsp 🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-Edit-2511"Demo</a&nbsp&nbsp | &nbsp&nbsp💬 <a href="https://github.com/QwenLM/Qwen-Image/blob/main/assets/wechat.png"WeChat (微信)</a&nbsp&nbsp | &nbsp&nbsp🫨 <a href="https://discord.gg/CV4E9rpNSD"Discord</a&nbsp&nbsp| &nbsp&nbsp <a href="https://github.com/QwenLM/Qwen-Image"Github</a&nbsp&nbsp Introduction We are excited to introduce Qwen-Image-Edit-2511, an enhanced version over Qwen-Image-Edit-2509, featuring multiple improvements—including notably better consistency. To try out the latest model, please visit Qwen Chat and select the Image Editing feature. Key enhancements in Qwen-Image-Edit-2511 include: mitigate image drift, improved character consistency,integrated LoRA capabilities, enhanced industrial design generation, and strengthened geometric reasoning ability. Quick Start Install the latest version of diffusers The following contains a code snippet illustrating how to use Qwen-Image-Edit-2511: Showcase Qwen-Image-Edit-2511 Enhances Character Consistency In Qwen-Image-Edit-2511, character consistency has been significantly improved. The model can perform imaginative edits based on an input portrait while preserving the identity and visual characteristics of the subject. Improved Multi-Person Consistency While Qwen-Image-Edit-2509 already improved consistency for single-subject editing, Qwen-Image-Edit-2511 further enhances consistency in multi-person group photos—enabling high-fidelity fusion of two separate person images into a coherent group shot: Built-in Support for Community-Created LoRAs Since Qwen-Image-Edit’s release, the community has developed many creative and high-quality LoRAs—greatly expanding its expressive pote

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

Specifications

What it is

MakerQwen
TypeImage models
Parameters (lead)20.4B
Variants1
Runs withdiffusers
Released2025-12-17
Popularity254k downloads / month
Likes1,305
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
Qwen-Image-Edit-251120.4BBF16~47 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys qwen-qwen-image-ed-2511 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (qwen-qwen-image-ed-2511 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":"qwen-qwen-image-ed-2511","prompt":"a red bicycle","size":"1024x1024"}'

Details

Languages, data & research

Languages

en zh

Tags

diffusers safetensors image-to-image en zh diffusers:QwenImageEditPlusPipeline

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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