Model reference · open weights

Qwen-Image-2512

Qwen-Image-2512 is an open-weight image model from unsloth, 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 unsloth 1 variants 81k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What Qwen-Image-2512 is

Read our How to Run Qwen-Image-2512 Guide! 💜 This is a GGUF quantized version of Qwen-Image-2512. <br unsloth/Qwen-Image-2512-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance. - Important layers are upcasted to higher precision. - To use the model, read our guides for ComfyUI or stable-diffusion.cpp. - Uses tooling from ComfyUI-GGUF by city96. Samples 💜 <a href="https://chat.qwen.ai/"<bQwen Chat</b</a&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-2512"Hugging Face</a&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-2512"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://qwen.ai/blog?id=qwen-image-2512"Blog</a &nbsp&nbsp 🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-2512"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-2512, the December update of Qwen-Image’s text-to-image foundational model. You are welcome to try the latest model at Qwen Chat. Compared to the base Qwen-Image model released in August, Qwen-Image-2512 features the following key improvements: Enhanced Huamn Realism Qwen-Image-2512 significantly reduces the “AI-generated” look and substantially enhances overall image realism, especially for human subjects. Finer Natural Detail Qwen-Image-2512 delivers notably more detailed rendering of landscapes, animal fur, and other natural elements. Improved Text Rendering Qwen-Image-2512 improves the accuracy and quality of textual elements, achieving better layout and more faithful multimodal (text + image) composition. Model Performance We conducted over 10,000 rounds of blind model evaluations on AI Arena, and the results show that Qwen-Image-2512 is currently the strongest open-source model—while remaining highly competitive even among closed-source models. Quick Start

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

Specifications

What it is

Makerunsloth
TypeImage models
Variants1
Based onQwen/Qwen-Image-2512
Released2025-12-30
Popularity81k downloads / month
Likes403
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-2512-GGUFGGUFWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys unsloth-qwen-image-2512 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (unsloth-qwen-image-2512 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":"unsloth-qwen-image-2512","prompt":"a red bicycle","size":"1024x1024"}'

Details

Languages, data & research

Languages

en zh

Tags

gguf quantized unsloth qwen text-to-image en zh

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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