Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
231–240 of 241 posts
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#232They 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...
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#233I truly wish these models were available when I was in University. As a visual learner it would have been much easier for me to understand certain topics with illustrative diagrams rather than reading a wall of text.
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#234Earlier quoted context omitted.
It is a reasonably non-opinionated model. My usual test is to ask these models to generate comic book and cartoon characters that hosted image generation models refuse to generate. I think that text is just CYA legalese.
What's your favourite (online or offline) model for image generation?
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#235To 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
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#236Zooming in on mobile on that website causes a large white area to obstruct the page. Might wanna look into that. As for the image model, wow...
Kinda wild to think they haven't fixed it yet. On mobile you cannot zoom in to view their images.
Maybe the site is vibe coded and nobody at Qwen actually knows how to fix it..
Another astonishing UX fail was (still is) on Xiaomi's page[1] - where they try, and successfully fail, to showcase a video editor implemented by their model.
They embed a screen capture hosted on a Chinese hosting site BiliBili, too bad the video is 360p pixel soup.
To be able to change the resolution you are required to:
- know to use desktop view in the browser to make the resolution button show
- know Chinese to understand which button is "resolution" and that you need to login to switch resolution
- have and account with the video hoster or be willing to register
I was curious, but not that curious...
[1] https://mimo.xiaomi.com/mimo-v2-5-pro#AFull-FeaturedVideoEdi...
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#237Earlier quoted context omitted.
>I find it easy to envision a world, maybe 50 years from now, in which the very concept of "truth in advertising" is viewed as a lost, idyllic fantasy. Something people are nostalgic for, but feel powerless to regain. Alternatively, perhaps we'll see models fine-tuned or steer-able towards accuracy that customers can themselves use to get a more honest view on what the product would look like in person. The funny thi…
> Alternatively, perhaps we'll see models fine-tuned or steer-able towards accuracy that customers can themselves use to get a more honest view on what the product would look like in person. we live in a world where the norm is to use filters on pictures of your own face to lie about how you look, imagine thinking than people actually care about truthness
I think they actually care about "truthness" when it comes to how others will perceive them. You might filter your face for an online photo.
However, you're not going to want to look at yourself through your selfie camera with a filter that hides your imperfections when you're checking to see if something is stuck in your teeth on a date, don't you think?
There's nuance. People will fudge the truth to be perceived better, but don't want to be lied to when gathering data about how to be perceived better.
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#238Earlier quoted context omitted.
> Alternatively, perhaps we'll see models fine-tuned or steer-able towards accuracy that customers can themselves use to get a more honest view on what the product would look like in person. we live in a world where the norm is to use filters on pictures of your own face to lie about how you look, imagine thinking than people actually care about truthness
>imagine thinking than people actually care about truthness I think they actually care about "truthness" when it comes to how others will perceive them. You might filter your face for an online photo. However, you're not going to want to look at yourself through your selfie camera with a filter that hides your imperfections when you're checking to see if something is stuck in your teeth on a date, don't you think? Th…
No, but you definitely use it in all the pictures you put on dating apps
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#239Earlier quoted context omitted.
>imagine thinking than people actually care about truthness I think they actually care about "truthness" when it comes to how others will perceive them. You might filter your face for an online photo. However, you're not going to want to look at yourself through your selfie camera with a filter that hides your imperfections when you're checking to see if something is stuck in your teeth on a date, don't you think? Th…
> However, you're not going to want to look at yourself through your selfie camera with a filter that hides your imperfections when you're checking to see if something is stuck in your teeth on a date, don't you think? No, but you definitely use it in all the pictures you put on dating apps
Re: Qwen-Image-3.0: Rich Content, Authentic Details, Deep Knowledge
#240I truly wish these models were available when I was in University. As a visual learner it would have been much easier for me to understand certain topics with illustrative diagrams rather than reading a wall of text.
This may be a myth. Big paper in 2009, but nobody's proved it's real in the 15 years since.
In a 2009 review paper entitled Learning Styles: Concepts and Evidence, researchers investigated the “meshing hypothesis,” which is the idea that students learn better when instruction is provided in a format that matches their learning style. Their conclusion is a hard pill to swallow. “The contrast between the enormous popularity of the learning-styles approach within education and the lack of credible evidence for its utility is, in our opinion, striking and disturbing,” the researchers wrote. “If classfication of students’ learning styles has practical utility, it remains to be demonstrated.”
2009: https://www.psychologicalscience.org/news/releases/learning-...
2022: https://fee.org/articles/learning-styles-don-t-actually-exis...
APA goes so far as to say (2019) believing in learning styles is detrimental:
https://www.apa.org/news/press/releases/2019/05/learning-sty...