Alibaba Releases Qwen-Image-3.0 With Improved Text Rendering
Early posts on X point to sharper text layout and unusually long prompts, though the bigger capability question is still mostly being argued from examples.
Entities: Alibaba, Qwen-Image-3.0
Alibaba's new Qwen-Image-3.0 is getting early attention on X after Lentils80 posted example outputs, including an academic-paper-style image they said showed striking text rendering, layout and improved world knowledge. A quote-post from teortaxesTex focused on another claim: that Qwen-Image-3.0 accepts instructions up to 4.5k tokens, which could help explain why dense, text-heavy layouts appear more coherent in the shared examples.
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🚨 Alibaba released Qwen-Image-3.0 today I attached a few examples, images 2nd through 4th are generated by it The text rendering and layout on that academic paper image is very very impressive, and it seems to have improved world knowledge
I see zero progress (or change) in "generate image" in free qwen studio though not deployed I guess
somehow @alibaba_qwen hasnt tweeted it yet so here you go https://qwen.ai/blog?id=qwen-image-3.0
Crazy stuff «And yet this remains effortless for Qwen-Image-3.0 — because Qwen-Image-3.0 raises the acceptable instruction length to 4.5k tokens» The question is whether it's a gimmick or if it can coherently reason over such complex layouts… gotta test
🚨 Alibaba released Qwen-Image-3.0 today I attached a few examples, images 2nd through 4th are generated by it The text rendering and layout on that academic paper image is very very impressive, and it seems to have improved world knowledge
Qwen Image 3 announced. these pictures are NOT screenshots. all generated in a single pass. the last one (image annotation) i think could spawn a dozen edtech / industrial training startups
Qwen Image 2 is a 7B model btw... down from 20B for image 1.. and beats Nano Banana in elo congrats @JustinLin610 et al!! https://twitter.com/swyx/status/2011861139689513314