Qwen Image: AI-Powered Photorealistic Image Generation
The December update of Qwen-Image's text-to-image foundational model. Significantly reduces the AI-generated look, enhances human realism, natural detail, and text rendering — the strongest open-source image generation model.
✨ Rated strongest open-source model in 10,000+ rounds of blind evaluation on AI Arena
What is Qwen Image
Qwen Image is the December update of Qwen-Image's text-to-image foundational model. Compared to the base model released in August, it achieves significant improvements in three key areas: human realism, natural detail, and text rendering.
- Enhanced Human RealismSignificantly reduces the AI-generated look and substantially enhances overall image realism, especially for human subjects with richer facial details.
- Finer Natural DetailDelivers notably more detailed rendering of landscapes, animal fur, and other natural elements with superior texture fidelity.
- Improved Text RenderingImproves the accuracy and quality of textual elements, achieving better layout and more faithful multimodal composition.
Why Choose Qwen Image
In over 10,000 rounds of blind model evaluations on AI Arena, Qwen Image is the strongest open-source model — while remaining highly competitive even among closed-source models.
How to Use Qwen Image
Experience Qwen Image's powerful image generation capabilities in multiple ways:
Key Features of Qwen Image
Discover the powerful capabilities that make Qwen Image the strongest open-source text-to-image model:
High-Fidelity Human Generation
Generate human portraits with rich facial details and realistic environmental backgrounds, significantly reducing waxy and over-smoothed appearance.
Strand-Level Hair Detail
Render individual hair strands and animal fur with precision, natural color transitions from warm gold to light cream, with light glinting at the tips.
Semantic Instruction Following
Better adherence to semantic instructions in text prompts, accurately capturing posture, expression, and movement details.
Complex Text-Image Layouts
Generate complex layouts with precise text, including tech slides, industrial infographics, and educational posters.
Multi-Aspect Ratio Output
Support 7 common aspect ratios including square, widescreen, portrait, and more for social media, presentations, and various use cases.
Diffusers Compatible
Fully compatible with Hugging Face Diffusers library, supporting negative prompts, custom seeds, and multi-step inference control.
Qwen Image Performance
Delivering outstanding results in AI Arena blind evaluations.
Blind Evaluations
10,000+
AI Arena Rounds
Aspect Ratios
7
Output Ratios
HF Spaces
69
Apps Using Model
What Users Say About Qwen Image
Hear from designers and creators who have integrated Qwen Image into their creative workflows.
Sarah Mitchell
Visual Designer
The human generation quality of Qwen Image is stunning. Facial details are incredibly rich and you genuinely can't tell it's AI-generated. It's perfect for design projects that require realistic human subjects.
James Cooper
AI Artist
The natural landscape rendering has taken a quantum leap. Water texture, vegetation layers, and waterfall mist effects are incredibly lifelike. This is the best open-source text-to-image model I've used.
Emily Zhang
E-commerce Manager
Support for multiple aspect ratios is very convenient. One generation can produce assets for different platforms. The product quality images are good enough for actual promotional use.
David Park
Graphic Designer
The improvement in text rendering is the biggest surprise. Now I can generate complex posters and infographics with accurate text. The layout quality is very professional and saves me tons of time.
Lisa Thompson
Content Creator
The animal fur detail rendering is impressive. You can see individual strands of a golden retriever's coat, with light reflecting naturally at the tips — something rarely seen in previous open-source models.
Michael Wang
Social Media Manager
Integration with the Diffusers library is seamless — just a few lines of code to deploy. The negative prompt feature gives precise control over generated images, fully meeting daily content creation needs.
Frequently Asked Questions About Qwen Image
Find answers to common questions about using and deploying Qwen Image.
What's the difference between Qwen Image and the August version?
Qwen Image achieves significant improvements in three areas: greatly enhanced human realism with richer facial details; finer natural texture rendering for water, vegetation, and animal fur; and improved text rendering accuracy with better layout quality.
How do I deploy Qwen Image locally?
Install the latest diffusers library (pip install git+https://github.com/huggingface/diffusers), then load the model using DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2512"). CUDA acceleration and various precision modes are supported.
What aspect ratios does Qwen Image support?
It supports 7 common aspect ratios: 1:1 (1328x1328), 16:9 (1664x928), 9:16 (928x1664), 4:3 (1472x1104), 3:4 (1104x1472), 3:2 (1584x1056), and 2:3 (1056x1584).
How does Qwen Image perform in evaluations?
In over 10,000 rounds of blind evaluations on AI Arena, Qwen Image was rated the strongest open-source text-to-image model, while remaining highly competitive even among closed-source models.
Can Qwen Image generate images with text?
Yes, Qwen Image has significantly improved text rendering capabilities. It can generate complex layouts with precise text, including PPT slides, infographics, educational posters, and other multimodal content.
What license does Qwen Image use?
Qwen Image is released as open source on Hugging Face. Please check the Hugging Face model page for specific licensing terms regarding commercial and non-commercial use.
Ready to Experience Qwen Image?
Start creating stunning images with the strongest open-source text-to-image model today.