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Qwen-Image is a powerful 20-billion parameter foundation model designed for advanced image generation and precise editing, with a particular strength in complex text rendering across diverse languages, especially Chinese. Built on the MMDiT architecture, it achieves remarkable fidelity in integrating text seamlessly into images while preserving typographic details and layout coherence. The model excels not only in text rendering but also in a wide range of artistic styles, including photorealistic, impressionist, anime, and minimalist aesthetics. Qwen-Image supports sophisticated editing tasks such as style transfer, object insertion and removal, detail enhancement, and even human pose manipulation, making it suitable for both professional and casual users. It also includes advanced image understanding capabilities like object detection, semantic segmentation, depth and edge estimation, and novel view synthesis.
Features
- 20B parameter MMDiT model specializing in complex text rendering and precise image editing
- Exceptional support for both alphabetic and logographic scripts with high typographic fidelity
- Versatile image generation covering photorealistic, artistic, anime, and minimalist styles
- Advanced editing capabilities including style transfer, object insertion/removal, and pose manipulation
- Built-in image understanding: object detection, semantic segmentation, depth, edge estimation, and novel view synthesis
- Compatible with Hugging Face Diffusers, ComfyUI, and multi-GPU API server deployments
- Official prompt enhancement tool for improved prompt quality and multilingual support
- Open-source under Apache 2.0 with active community and platform integrations
Project Samples
License
Apache License V2.0Follow Qwen-Image
User Reviews
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Amazing open source image generation AI model