Qwen-Image-3.0 发布

🎨 Meet Qwen-Image-3.0 — the third generation of our foundational image generation model. If 1.0 was about "Precision," and 2.0 added "Variety, Completeness, Beauty & Authenticity," then 3.0 comes down to a single word: Real (实). Three dimensions of "Real": 📰 Rich Content — prompts up to 4.5k tokens. One-pass generation of complex layouts: newspapers, storyboards, exam papers — even a 3×3 infographic grid or picture-in-picture-in-picture UIs. 🔬 Authentic Details — text legible down to 10px, full LaTeX paper pages, pores, hair strands & near-photographic skin texture. 🌏 Deep Knowledge — native rendering in 12 languages, 100+ art styles, realistic UIs (web / games / livestreams), plus world knowledge & live web retrieval. Not just "good-looking" — genuinely useful. Image generation as a real productivity tool for design, content, education & e-commerce. Go create 🏃🎨 💬Qwen Chat: https://t.co/941HmITJ2W 📝Blog: https://t.co/5mnS4uI9Ar  Qwen (@Alibaba_Qwen): Authentic Details and Deep Knowledge are also major upgrades in this release. Together, they enable Qwen-Image-3.0 to make real breakthroughs in high-value productivity scenarios — newspaper PDFs, short-drama storyboards, complex UI, and more. As image generation keeps advancing, we believe it will unlock genuine productivity value across design, content creation, education, e-commerce, and beyond. Qwen (@Alibaba_Qwen): Beyond horizontal expansion, depth is another key trait of Rich Content — testing the model's semantic deconstruction and logical nesting: rendering multiple nested interfaces layer by layer within a single image. The example below uses one instruction to display, from outer to inner: VSCode → Qwen Chat → a messaging app → a pour-over coffee poster. Each layer preserves the authentic style of its UI, forming a "picture-in-picture-in-picture" visual depth.