basetenlabs/Qwen-Image

basetenlabs/Qwen-Image

Description: Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.

Language: Python

License: Apache-2.0

Stars: 0

Forks: 0

Open issues: 0

Created: 2026-01-31T23:40:57Z

Pushed: 2026-01-31T23:45:34Z

Default branch: main

Fork: yes

Parent repository: QwenLM/Qwen-Image

Archived: no

README:

QAD on Qwen Image

• Worklog of QAD
• Worklog of PTQ

&nbsp&nbsp💜 Qwen Chat&nbsp&nbsp | &nbsp&nbsp🤗 HuggingFace(T2I)&nbsp&nbsp | &nbsp&nbsp🤗 HuggingFace(Edit)&nbsp&nbsp | &nbsp&nbsp🤖 ModelScope-T2I&nbsp&nbsp | &nbsp&nbsp🤖 ModelScope-Edit&nbsp&nbsp| &nbsp&nbsp 📑 Tech Report &nbsp&nbsp | &nbsp&nbsp 📑 Blog(T2I) &nbsp&nbsp | &nbsp&nbsp 📑 Blog(Edit) &nbsp&nbsp

🖥️ T2I Demo&nbsp&nbsp | 🖥️ Edit Demo&nbsp&nbsp | &nbsp&nbsp💬 WeChat (微信)&nbsp&nbsp | &nbsp&nbsp🫨 Discord&nbsp&nbsp

Introduction

We are thrilled to release Qwen-Image, a 20B MMDiT image foundation model that achieves significant advances in complex text rendering and precise image editing. Experiments show strong general capabilities in both image generation and editing, with exceptional performance in text rendering, especially for Chinese.


News

• 2025.12.31: We released Qwen-Image-2512 weights! Check at Huggingface and ModelScope!
• 2025.12.31: We released Qwen-Image-2512! Check our Blog for more details!

🚀 Our December upgrade to Qwen-Image, just in time for the New Year.

✨ What’s new: • More realistic humans — dramatically reduced “AI look,” richer facial & age details • Finer natural textures — sharper landscapes, water, fur, and materials • Stronger text rendering — better layout, higher accuracy in text–image composition

🏆 Tested in 10,000+ blind rounds on AI Arena, Qwen-Image-2512 ranks as the strongest open-source image model, while staying competitive with closed-source systems. 

• 2025.12.31: Qwen-Image-Lightning, developed by Lightx2v, provides Day 0 acceleration support for Qwen-Image-2512.
• 2025.12.31:vLLM-Omni supports high performance Qwen-Image-2512 inference from Day-0, with long sequence parallelism, cache acceleration and fast kernels, please check here for details.
• 2025.12.23: We released Qwen-Image-Edit-2511 weights! Check at Huggingface and ModelScope!
• 2025.12.23: We released Qwen-Image-Edit-2511! Check our Blog for more details!
• 2025.12.23: [LightX2V](https://github.com/ModelTC/LightX2V/) delivers Day 0 acceleration for Qwen-Image-Edit-2511, with native support for a wide range of hardware, including NVIDIA, Hygon, Metax, Ascend, and Cambricon. By combining [diffusion distillation](https://github.com/ModelTC/Qwen-Image-Lightning) with cutting-edge inference optimizations, LightX2V achieves a 25x reduction in DiT NFEs and an order-of-magnitude 42.55x overall speedup, enabling real-time image editing across diverse AI accelerators.
• 2025.12.23: vLLM-Omni supports high performance Qwen-Image-Edit-2511, Qwen-Image-Layered inference from Day-0, with long sequence parallelism, cache acceleration and fast kernels, please check here for details.

• 2025.12.23: SGLang-Diffusion provides day-0 support for Qwen-Image models. To play with Qwen-Image-Edit-2511 in SGlang, please check community supports section for details.

• 2025.12.19: We released Qwen-Image-Layered weights! Check at Huggingface and ModelScope!
• 2025.12.19: We released Qwen-Image-Layered! Check our Blog for more details!
• 2025.12.18: We released our Research Paper on Arxiv!
• 2025.11.11: [T2I-CoreBench](https://t2i-corebench.github.io/) offers a comprehensive and complex evaluation of T2I models in real-world scenarios. On this benchmark, Qwen-Image achieves state-of-the-art performance under real-world complexities in both composition and reasoning T2I tasks, surpassing other open-source models and showing comparable results to closed-source ones.
• 2025.11.07: LeMiCa is a diffusion model inference acceleration solution developed by China Unicom Data Science and Artificial Intelligence Research Institute. By leveraging cache-based techniques and global denoising path optimization, LeMiCa provides efficient inference support for Qwen-Image, achieving nearly 3x lossless acceleration while maintaining visual consistency and quality. For more details, please visit the homepage: https://unicomai.github.io/LeMiCa/

• 2025.09.22: 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:

• 2025.08.19: We have observed performance misalignments of Qwen-Image-Edit. To ensure optimal results, please update to the latest diffusers commit. Improvements are expected, especially in identity preservation and instruction following.
• 2025.08.18: We’re excited to announce the open-sourcing of Qwen-Image-Edit! 🎉 Try it out in your local environment with the quick start guide below, or head over to Qwen Chat or [Huggingface…