Model reference · open weights

Qwen-Image-Ed-2509

Qwen-Image-Ed-2509 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 463k 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-2509 is

💜 <a href="https://chat.qwen.ai/"<bQwen Chat</b</a&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-Edit-2509"Hugging Face</a&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-Edit-2509"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/"Blog</a &nbsp&nbsp 🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-Edit"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 This September, we are pleased to introduce Qwen-Image-Edit-2509, the monthly iteration of Qwen-Image-Edit. To experience the latest model, please visit Qwen Chat and select the "Image Editing" feature. Compared with Qwen-Image-Edit released in August, the main improvements of Qwen-Image-Edit-2509 include: Multi-image Editing Support: For multi-image inputs, Qwen-Image-Edit-2509 builds upon the Qwen-Image-Edit architecture and is further trained via image concatenation to enable multi-image editing. It supports various combinations such as "person + person," "person + product," and "person + scene." Optimal performance is currently achieved with 1 to 3 input images. Enhanced Single-image Consistency: For single-image inputs, Qwen-Image-Edit-2509 significantly improves editing consistency, specifically in the following areas: - Improved Person Editing Consistency: Better preservation of facial identity, supporting various portrait styles and pose transformations; - Improved Product Editing Consistency: Better preservation of product identity, supporting product poster editing; - Improved Text Editing Consistency: In addition to modifying text content, it also supports editing text fonts, colors, and materials; Native Support for ControlNet: Including depth maps, edge maps, keypoint maps, and more. Quick Start Install the latest version of diffuse

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
Released2025-09-22
Popularity463k downloads / month
Likes1,236
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-250920.4BBF16~47 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys qwen-image-ed-2509 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (qwen-image-ed-2509 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-image-ed-2509","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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