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Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

qwen.ai

61–70 of 241 posts

Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

#61
post #33

To me it feels so weird that people are trying to push these model for online shopping like "here is how this dress/shirt/pants would look on you". But these models will always make the clothes fit your body and show you in flattering light and so on. How the actual garment fits is still as elusive as before these tools

To be fair in many cases the actual clothes aren't much better. I've had two pair of the same pants, same brand, same size fit noticeably differently.

Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

#62
post #50

The real performance is nowhere close to what is presented in the marketing materials, which is pretty annoying. Especially text rendering and accuracy. Try asking it for a plot of Polish GDP growth over the past 20 years. It's slop.

This model isn't supposed to contain all the numerical data. It will give you a (usually) matching graph transformed from one you provide or from a table of information you provide. Or you can pipeline from an LLM doing research on that data first. But expecting an image gen model to get you GDP info has got to be one of the worst possible approaches.

> Especially text rendering

That's true though. I still got some completely fried letters in headings.

Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

#63

The meta keywords in the HTML is very interesting. 100+ references to NSFW topics such as hentai, nudes, etc.

I assume they use a SEO tool that automatically adds these meta keywords to optimize for some search engines.

It apparently adds common search terms that contain words like "qwen". This evidently includes possibly mistyped searches for "gwen" or "ben" in a NSFW context.

Maybe someone knows more about how such SEO tools work, and where they pull the data from.

Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

#65

They must have trained on GPT Image 1 outputs. The yellow tint is unmistakable. https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/i... https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/i... https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/i... https://qianwen-res.oss-accelerate.aliyuncs.com/Qwen-Image/i...

AI-generated images are part of the web now, if you're doing ordinary web scraping, you can't avoid training on generated images.

Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

#66
post #17

The meta keywords in the HTML is very interesting. 100+ references to NSFW topics such as hentai, nudes, etc.

That is hilarious as porn is illegal in China. But I guess pron SEO is allright, if it is against the west.

[flagged]

Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

#68
post #56

I am curious whether the model requires a font to be installed. Does it also generate the glyphs for the text?

Yes, it generates the text without using a font. Same is true of other image models like ChatGPT Images and Gemini Nano Banana and Midjourney.

Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge

#69
post #50

The real performance is nowhere close to what is presented in the marketing materials, which is pretty annoying. Especially text rendering and accuracy. Try asking it for a plot of Polish GDP growth over the past 20 years. It's slop.

This model isn't supposed to contain all the numerical data. It will give you a (usually) matching graph transformed from one you provide or from a table of information you provide. Or you can pipeline from an LLM doing research on that data first. But expecting an image gen model to get you GDP info has got to be one of the worst possible approaches. > Especially text rendering That's true though. I still got some c…

Giving it numerical data in an LLM-generated prompt doesn't seem to help much: https://imgur.com/a/KFhczOd

It included the table verbatim and even managed to hallucinate a reasonable heading for it, but then the graph doesn't even manage to align the data points with the time axis, leading to an unfortunate collision in the middle.

I guess you should use a traditional graphing library for your presentation slides for now.

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