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

• kmfrk

  today at 9:38 PM

  Definitely. I think the appeal to some isn't GenAI per se but image-to-image generation like "make this item look like a talented photographer shot it".

  But I can't imagine that your conversion wouldn't benefit by showing actual imperfect photos of your products, especially when you run a platform with 1k new listings per month. I'm personally turned off by something that looks like 3D, especially when all the different colour variations look the exact same.

• teraflop

  today at 2:31 PM

  The short-term goal of a tool like this is to sell products. The more ambitious long-term goal is to shift cultural norms, blurring the lines between advertising and reality until the question you're asking is no longer consciously asked. At least, not by average people, and not at the point of purchase.

  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.

  • supern0va

    today at 6:51 PM

    >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 thing about these tools is that they can go either direction, but it sure seems like there's the potential for it empower individuals and shift the balance. Clothing sales shifting online has given sellers the advantage/ease to deceive without much customers can do other than hope the reviews aren't manipulated (they are) even before AI. Maybe this can turn things around as people start to shop with personal agents.

    • derefr

      today at 7:13 PM

      That's a fun thought. A gradual division between "institutional models" trained to have capabilities that solve for the needs of corporations, vs. "personal models" trained to have capabilities that solve for the needs of individuals.

      I wonder what kind of capabilities those might be?

  • dataflow

    today at 2:55 PM

    > 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.

    From what I hear (fact-check, etc. needed) that's already the case right now with much more consequential transactions, like renting real estate in NYC. Square footages that are blatant lies, etc.

  • ElProlactin

    today at 6:14 PM

    > 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.

    There hasn't been "truth in advertising" for many, many years. The only thing that has changed recently is that you don't even have to hide most of the lies.

  • palmotea

    today at 3:42 PM

    > 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.

    It's infuriating the amount of effort people will expend to claim that what was achieved in the past is literally impossible to do now. It's pervasive, especially from allegedly-smart people like software engineers.

    • dleeftink

      today at 5:23 PM

      Software has a dependency contract that is quite unique. We can't imagine the shelflife beyond the Bazaar or Cathedral. They seem ever lasting.

      The myth of impossibility remains, because we can't imagine what it means to forever occupy those places, even when others rise past them.

  • verisimi

    today at 3:00 PM

    > 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.

    I find it easy now!

• khurs

  today at 10:34 AM

  As long as the Product Manger gets a bonus/promotion then it's a success.

• k2enemy

  today at 11:30 AM

  I've noticed something similar in Facebook marketplace ads for used furniture. Most of the images are AI generated to look like a Pottery Barn catalog, then the last image will be the actual item, full of scratches and other damage, sitting in a messy garage.

  • mikepurvis

    today at 2:06 PM

    I've started to see this on Etsy and Wayfair too, where there will be a listing that is clearly just MDF flatpack being resold from China, but the AI-generated images wildly exaggerate the proportions of it.

    Here's a recent example: https://www.etsy.com/ca/listing/4509158065/corner-wall-shelf...

    Ironically, ChatGPT is decently good at ferreting these out. Like I sent it a screenshot of that listing and it not only helped me find where the original item was for sale, but also pointed out how the dimensioned diagram shows it as being just 49" tall, whereas the "in real life" image looks like it's at least six feet, based on it coming up over the top of the picture frame.

    I ended up engaging a local woodworker to make me a piece like it instead. Obviously an order of magnitude difference in price, but it will actually be real solid walnut and finished to match my dining table.

    • gtowey

      today at 3:53 PM

      Even funnier is that first picture shows the bottom panel overlapping the baseboard in a way that is impossible in real life.

    • throwup238

      today at 5:10 PM

      The merchant is even called “VibesPlante”

  • aembleton

    today at 11:46 AM

    Estate agents are also doing it; making interiors of houses look very different to how they really are.

    • spaceman_2020

      today at 1:46 PM

      This should really be illegal

    • jeremyjh

      today at 12:07 PM

      Yes and even if all they do is ask it to stage an empty room picture with furniture and decorations it will make improvements like adding a doorway to a room that doesn’t exist.

      • agile-gift0262

        today at 12:14 PM

        The worst I've seen changed the view out a window from an alley to a private garden. Most also add natural light that isn't possible, and in some cases I'm convinced the generate image is depicting the space as larger than it actually is, with furniture and spaces that wouldn't fit in reality

        • hiccuphippo

          today at 1:39 PM

          I once heard about a company that specialized in making furniture about 10% smaller than normal for use in show rooms to make the spaces look larger. Not surprised they do it with AI if they can.

          • mikepurvis

            today at 2:08 PM

            Wide angle lenses have been a thing in real estate photography since forever, but you would always have the reference of the furniture to ground your perception. Having furniture be slightly downsized is diabolical.

          • masfuerte

            today at 2:57 PM

            This is a thing in show homes on new-build estates in the UK. British houses are often tiny.

    • skinfaxi

      today at 12:58 PM

      Seems like false advertising.

  • QuantumGood

    today at 11:55 AM

    And knocking out the messy garage background to replace it with a showroom is the easiest prompt.

• victorbjorklund

  today at 1:27 PM

  Is it gonna be less distorted than just seeing the shirt on a model photographed by a professional in the perfect light?

  • collinmcnulty

    today at 1:41 PM

    Yes, because it is the actual dimensions of the real shirt.

  • smith7018

    today at 1:50 PM

    Many product/model shots actually use clips to make the clothing look like it's perfectly fitted to the body. [1] This image is actually over 15 years old at this point. I think there should be laws that prevent this because it veers into false advertising though others believe it's alright because you can theoretically tailor the clothes to fit like this.

    Regardless, I'd rather see real clothing on a real person when it comes to my purchasing decisions. I buy a lot of vintage clothes online and I've noticed a dramatic uptick in AI images of models wearing the clothes. I've never once bought from those sellers because it feels disingenuous. Sometimes they have fake runways which is actual false advertising because it makes the item appear more expensive than it really is. I've also noticed that the AI models' body types are always thin even if the item is a L or XL. Needless to say, the AI isn't showing me what an XL looks like on a small model; it's showing what a small model would look like if the item fit perfectly.

    [1] https://www.primermagazine.com/wp-content/uploads/2011/02/St...

    • stavros

      today at 3:16 PM

      That image isn't from a clothes catalog, they'd generally use the unaltered garment there.

      • phainopepla2

        today at 4:57 PM

        Nope. I used to assist a photographer who did shoots for catalogs, and clips were used quite a bit. The same model has to wear dozens of pieces of clothing throughout the shoot, and not everything is going to fit their body well, but the clients obviously want everything to look well fitted.

        • stavros

          today at 5:24 PM

          Ah, I stand corrected, thanks.

  • coldtea

    today at 2:03 PM

    Yes, because at least that won't be flattering you (not to mention it would be showing the actual garment).

  • today at 2:56 PM

• number6

  today at 10:12 AM

  Sounds exactly like something the marketing department would use to up the convertion rate

• aljgz

  today at 3:21 PM

  One joy of online shopping, especially for people doing it in an impulsive and/or addictive way (it's not really rare) is the satisfaction they get from the imagination of having it.

  An acquaintance of mine was buying many and not wearing most, as she did not attend that many social occasions. Still, she kept buying.

  Eventually, she had to face the actual problem in her life that bothered her. She ended up dealing with it, terribly.

• jliptzin

  today at 11:35 AM

  If it doesn’t fit, then you must have gained weight while the item was in transit

  • agile-gift0262

    today at 12:17 PM

    You can fix it through our partner, Ozempic

• brookst

  today at 12:24 PM

  The more honest ones are “how it looks on you” and don’t promise fit that depends on so many measurements that aren’t even visible in pics.

  Sure, it’s idealized, but some people benefit from seeing color / neckline / etc on themselves as a visual reference.

  Me, I’m a text-learner so I don’t get it at all. But I know people who get value.

• viraptor

  today at 10:26 AM

  There's definitely a predatory "everything will look good", but you can also leverage exactly that part for your own purposes - I've done pre-shopping a couple of times by asking for something like "a grid of 9 versions of my photo, wearing different types of X that look good". Definitely helped with choosing a good style.

• LogicFailsMe

  today at 1:01 PM

  I use nanobanana 2 to test changes in paint and flooring/tiling to great success. And the real pro move is taking those images to a designer to tweak the remaining 20% or so.

  • paradox460

    today at 7:12 PM

    I used it recently to explore a few placements of a pool and glass building on my property. It's not authoritative, by any means, but it did answer some questions

    And at this level it's barely any different than an architectural render, more for "how could this look" rather than "how will this look"

  • sixothree

    today at 3:13 PM

    You just described how people are using AI in general. And I think that last step is actually a huge gap. People will brainstorm or improve their understanding of the task with AI and create something. Ideally they would hand it off to a professional for finalization like you did.

    I wish a service existed where I could make something in AI (text, images, whatever), then pass that AI output to an actual human who would use it as a guide to produce an actual product.

• pwillia7

  today at 12:19 PM

  I bet if you had a way to easily train a LORA on you trying on various clothing types the models would do pretty well but I agree without that I can't think of a way to get it to work. Reminds me of the flattering mirrors scam https://finance.yahoo.com/news/company-swears-controversial-...

• walrus01

  today at 10:03 AM

  The cynic in me says this is just an advancement and logical continuation from the known problem of sycophantic behavior in text-to-text chatbot format LLM, to image generation models.

  • inerte

    today at 12:30 PM

    To me the tools are newer, but fit people in a controlled context to sell clothing is as old as photography itself.

• therealpygon

  today at 12:52 PM

  Good or bad, I’m pretty sure showing things in the best light has always been the point of “marketing”. There is a reason ads aren’t filled with ugly people with misshaped bodies, and it isn’t because the intention is to reflect reality, so what you allude to as problematic is what a lot of businesses call a feature.

  • sixothree

    today at 2:54 PM

    I'm pretty sure I saw somewhere people can sell re-sell clothes. They can include a picture of themselves wearing the item and it replaces literally everything but the clothing with someone/someplace "prettier".

    In the end the one thing that is completely honest is the portion of the picture that is the item you are re-selling. But somehow to me the entire thing feels disingenuous.

    • therealpygon

      today at 4:02 PM

      Marketing a product is often disingenuous. You didn’t actually need that shirt, or that bag of chips. That’s the definition of successful marketing in their mind.

      If marketing had to be honest, an entirely different set of products would likely be the most popular. I don’t think that’s a good thing by any means, just that the problem hasn’t really changed much beyond more focused targeting, which has always been a goal of marketing anyway.

      It’s hard to convince someone who isn’t interested to buy something which is why tech ads sell on tech channels and car ads sell on car channels. Now you get to star in your very own clothes ads…for yourself…targeting you…

      I suspect companies drool for that prospect because you are selling it to yourself with only some nice gentle nudging. That is the grail of marketing; that you don’t even realize you are in the midst of being marketed to.

• jeromechoo

  today at 4:34 PM

  It’s clear to us here on HN but to the average person today the way these models actually work is beyond the realm of constraints and reasoning.

• imhoguy

  today at 4:51 PM

  This will push us even more to go outside and visit actual shops. Becouse thanks to AI we will have more time? Will we?

• jareklupinski

  today at 11:39 AM

  i'd like it to notice things i would miss, like "this is ring-spun shirt, so it will sit like this on your torso" or "these pleats will require you to iron them" etc

• geniium

  today at 3:23 PM

  Yet it pushes the goal of the brand/shop forward: make the product more appealing and sell

• spaceman_2020

  today at 1:45 PM

  A prompt went viral recently where people were sharing their pictures and asking chatgpt to visualise what their looksmatched partner would look like

  The result was always someone extremely good looking

  There’s going to be an entirely new class of mental disorders that will emerge from people being deluded by AI

• daedrdev

  today at 3:19 PM

  But they dont have to do either of these things. Thats just what people prompt

• morningsam

  today at 11:23 AM

  Maybe this will lead to more business for tailors doing alterations, assuming the clothes people end up buying are expensive enough to justify it.

  • jimnotgym

    today at 11:37 AM

    I understand they are already doing decent business since the advent of the magic weight loss pen

• qwertox

  today at 1:03 PM

  > But these models will always make the clothes fit your body and show you in flattering light and so on

  This is something that can be fixed over time. And if this forces clothing manufacturers to stick more to their advertised "specs" (width/length), then it's a win for us.

  • coldtea

    today at 2:05 PM

    Nobody that's pushing it has any incentive for fixing it - and they have all the opposite incentives.

• zkmon

  today at 2:12 PM

  How does this fry pan look with a fish in it? Ask Mr Bean.

• sandworm101

  today at 4:13 PM

  User-targeted fashion advice is the polite goal. AI designed to generate images of people is actually racing to capture the entertainment markets. They want to be ready to replace models/actors in everything from fashion mags to porn studios. That is where the money is.

  • yorwba

    today at 5:39 PM

    For Alibaba, it's definitely all about shopping. That's where their money is. They haven't had much luck investing in entertainment so far.

• TylerE

  today at 10:37 AM

  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.

• newswasboring

  today at 2:35 PM

  I've been struggling with this question myself. But isn't this a model training/use problem (a.k.a skill issue )? Isn't there a way to make these models be faithful to how people will actually look?

• today at 2:00 PM

• epolanski

  today at 11:29 AM

  I have a similar use case at work for previewing construction material and such in our catalogue applied to user uploaded images.

  Results are mixed, expensive, but it really feels you're few months off the next improvement to really nail it. It's already good enough.

  Wonder what Qwen image will provide over nano banana.

  • vunderba

    today at 3:36 PM

    Well from the images I've seen they seem to be pushing text-heavy "infograph" capabilities pretty hard. Outside of that, I have serious doubts that it'll be better than other proprietary models like NB Pro and gpt-image-2.

• inquirerGeneral

  today at 1:41 PM

  [dead]

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

• postalcoder

  today at 10:02 AM

  That's hilarious. These keywords are applied globally, even on pages like https://qwen.ai/usagepolicy, where they very kindly ask you not to use their products for sexual content.

  Run this in console to see all the tags:

    document.querySelector('meta[name="keywords"]').content

  • khurs

    today at 10:32 AM

    WTF lol

        who made qwen stefani's dress
    
        spiderman into the spider verse did qwen meet Peter
    
        qwen stacey porn
    
        do blake shelton and qwen stafani have children together

    • postalcoder

      today at 3:40 PM

      I've been thinking about this too much because it's so ridiculous and funny that I had to at least try wrapping my head around it. My best guess is this:

      If you look at past snapshots at archive.org, you notice that the meta keywords are growing like an append-only list, which means it's probably part of some messed up seo pipeline. The other clue is that it's stuffing the meta keywords which apparently only Yandex uses as a search signal[0].

      The list has 3882 entries. A lot of them are clustered and look like auto-complete results. But a bunch of them look like hyper-specific, misspelled search results (e.g. "145 gwen rd cheshire ct"). Google's webmaster tools doesn't provide distinct queries like that, but yandex's does[1].

      My best guess of what's happening is that Qwen is monitoring it's search queries in Yandex, dumping that list into a serp service that scrapes yandex's autocomplete suggestions, and then taking that list and dumping it into their meta keywords.

      It explains the urls in the list (ppls using search engines like address bars), the seeming fixation around certain topics (which usually starts with a misspelling), and the random one-off queries.

      0: https://yandex.com/support/webmaster/en/controlling-robot/me...

      1: https://yandex.com/support/webmaster/en/service/popular-quer...

    • OkWing99

      today at 11:37 AM

      Some of it is a reference to https://en.wikipedia.org/wiki/Spider-Woman_(Gwen_Stacy)

      (i.e. the porn references)

    • drcongo

      today at 1:59 PM

          ben 10 four arms porn qwen
      

      These keywords are kinda wild.

      • Schlagbohrer

        today at 2:48 PM

        Which LLM do you think they used to generate the keywords

  • LoveMortuus

    today at 11:35 AM

    Why would they added URLs for porn websites to their keywords? Like literally the names of websites with ".com" and such at the end.

    • today at 3:33 PM

  • today at 11:55 AM

• user43928

  today at 10:43 AM

  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.

  • spiderfarmer

    today at 11:55 AM

    Sounds like “keyword shitter” (genuine tool)

• chmod775

  today at 9:17 AM

  Bonus points for also covering misspellings like "pregbant".

  • QuantumNomad_

    today at 9:50 AM

    how is prangent formed

    Am i gregnant?

    https://youtu.be/EShUeudtaFg

    • yewenjie

      today at 12:42 PM

      how do i stop my son from looking at pikachu porn

    • Mtinie

      today at 11:41 AM

      qregnant

    • gchamonlive

      today at 11:32 AM

      Can you even get pregnato

    • timedude

      today at 12:44 PM

      Stork bring baby

    • Geee

      today at 12:29 PM

      how is babby formed? how girl get pragnent?

      • user_7832

        today at 1:16 PM

        If a women has starch masks on her body does that mean she has been pargnet before.?

      • jmuguy

        today at 1:01 PM

        mothers who kill thier babby. becuse these babbys cant frigth back?

        • GrinningFool

          today at 3:09 PM

          That got dark.

          • jmuguy

            today at 3:46 PM

            Its an old something awful thing https://knowyourmeme.com/memes/how-is-babby-formed

            • GrinningFool

              today at 4:31 PM

              Hah, today's 10k.

  • isoprophlex

    today at 9:57 AM

    show bobs and vegana!

    • user_7832

      today at 1:18 PM

      That's racist!

      (See kids, it is possible to fight memes/racism with memes! And well... yeah, this really is racist.)

    • walrus01

      today at 10:00 AM

      For those unfamiliar.

      https://knowyourmeme.com/memes/bobs-and-vegana

    • marginalia_nu

      today at 12:22 PM

      This reddit slop is unbecoming of HN.

      • gchamonlive

        today at 1:04 PM

        Is there such a thing as Reddit "unslop"? Thought it went without saying.

      • hedora

        today at 2:10 PM

        Please don’t violate community guidelines like this. All HN threads look like this. Don’t make me report you to a submod.

        > Please don't post comments saying that HN is turning into Reddit. It's a semi-noob illusion, as old as the hills.

        • sgc

          today at 2:39 PM

          > Don’t make me report you to a submod.

          This is pathologically outside scope. I don't think I have ever seen somebody threaten somebody else on hn before. The 'don't make me do it to you' abuser trope is next level.

          • user-

            today at 3:08 PM

            dont make me report you to a sub sub mod!

• 01284a7e

  today at 2:58 PM

  What value does the 'keywords' meta tag even have these days? 77+ KB of crap added to the page weight. Web development is full of idiots.

  • j0ej0ej0e

    today at 7:27 PM

    Maybe it's completely intentional and it's making a comeback at least with LLMs? Google say it has no value, but LLMs probably genuinely use it.

• ssalka

  today at 5:01 PM

  I think the Qwen team is probably aware that the NSFW community is very quick to adopt any new image gen model (see: Civitai). So, it seems like a good SEO approach to try and surface their model in search results that said community is likely already checking.

• lukan

  today at 9:23 AM

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

  • weird-eye-issue

    today at 9:24 AM

    Western search engines simply ignore the meta keywords tag for over a decade now

    • lukan

      today at 9:55 AM

      So what is the point then?

      • weird-eye-issue

        today at 10:14 AM

        There is no point. It's from people that have no clue which is most people that do search engine optimization

        That said it's possible search engines in China or other countries might use it, but it's very easy to game so it doesn't really make sense

  • vitalyan8184

    today at 10:59 AM

    uh, are you implying that porn is bad somehow? I can show you a hundred articles that say only nazi incel chuds believe so.

    https://www.nytimes.com/2019/06/07/us/hate-groups-porn-consp...

    porn is as American as apple pie.

    • Lio

      today at 1:08 PM

      > porn is as American as apple pie

      So not at all then as Apple Pie is a traditional English desert. :P

      https://en.wikipedia.org/wiki/Apple_pie

    • lukan

      today at 11:29 AM

      Incels are probably the biggest porn consumers.

      Apart from that, I made no judgement about porn in general, just about porn tags in Chinese backed AI websites.

• drakythe

  today at 4:38 PM

  Interesting too that they would include "ai friend" when China just added restrictions on AI "partners" such that many services stopped offering them rather than try to adhere to the restrictions.

• walrus01

  today at 9:15 AM

  Wow you really weren't kidding. Fully automated AI slop tentacles for everyone!

  https://pastes.io/uenL6X9K

  It also seems to have an obsession with this celebrity, based on how many times ctrl-f for "stefani" turns up a result.

  https://en.wikipedia.org/wiki/Gwen_Stefani

  • weird-eye-issue

    today at 9:21 AM

    > spider qwen thicc, spider qwen tied up, spider qwen toddler costume, spider qwen trans, spider qwen wallpaper, spider qwen xxx hentai

    • walrus01

      today at 9:22 AM

      spiderman pointing at spiderman meme trans wallpaper xxx thicc hentai

      • today at 9:29 AM

  • goobatrooba

    today at 11:29 AM

    Wow, crazy things - "shemale porn", "spider fucks venom", and various porn URLs like tushy.com. What the hell did they do to their AI? Is that the training corpus or intended use case?

    • today at 3:07 PM

    • walrus01

      today at 11:47 AM

      > Is that the training corpus or intended use case?

      [whynotboth.gif]

  • Mashimo

    today at 9:17 AM

    > total drama qwen hentai

    Do you want to know more?

    [ ] Yes [x] no

    • jpfromlondon

      today at 10:01 AM

      Qwentai

  • WithinReason

    today at 9:21 AM

    probably due to misspellings as qwen stefani

    • today at 9:37 AM

  • pdpi

    today at 10:15 AM

    Keyword typosquatting I guess?

  • alex_suzuki

    today at 9:40 AM

    > ben 10 hentai game where qwen gets drunk

    erm... what?

    • archon1410

      today at 10:31 AM

      Surely it was meant to be "Gwen" (the protagonist's cousin and the other main character in the show). I guess it was somehow (incorrectly) assumed to be a misspelling of Qwen and included in the tags. Or perhaps many people were misspelling Gwen as "Qwen" and it was all hoovered up.

    • walrus01

      today at 9:43 AM

      > qwen ten hentai, qwen ten xxx, qwen tennason footjob, qwen tennison hentai, qwen tennyson, qwen tennyson ass expansion, qwen tennyson giantess pussy, qwen tennyson hentai, qwen tennyson porn, qwen tft, qwen the milk maid, qwen the milkmaid, qwen the parts over, qwen the wolf witcher, qwen tire, qwen tneyson porn, qwen to go feelies youtube, qwen tokenizer java,

    • bbor

      today at 9:45 AM

      Whelp today’s a unique day on hacker news, wow! Didn’t expect to read that at my desk lol

• WhereIsTheTruth

  today at 10:16 AM

  Brainrot is the new opium war

  • cyanydeez

    today at 10:37 AM

    how the turn tables

• felooboolooomba

  today at 1:59 PM

  [dead]

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...

• yorwba

  today at 9:41 AM

  GPT Image 1 ended up with a yellow tint without training on another image-generation model's output. It's just that humans like pictures with a soft sunset glow, and this is a very easy global signal for a preference model to pick up on, and for a image-generation model to imitate. So optimizing for aesthetic appeal makes everything slightly tinted by default, unless you make sure to countersteer.

  • postalcoder

    today at 9:42 AM

    Fair point!

  • Grimblewald

    today at 9:51 AM

    Didnt the piss tint come after their big studio ghibli heist?

• cousinbryce

  today at 7:02 PM

  Maybe it was trained in a Mexican data center https://en.wikipedia.org/wiki/Mexican_filter

• hugmynutus

  today at 1:48 PM

  yellow/red tint is an extremely common problem not matter the photograph source you train on

  source: work at a photograph start, even training on raw images things get tinted, it is an uphill battle

• dannyw

  today at 10:52 AM

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

• greyb

  today at 2:39 PM

  You clearly haven't met a Chinese RedNote user.

Very cool but the Arabic text in the title image is obviously and hopelessly broken, which is oddly not the case when actually using the model. Could it be that the hero image was not generated by Qwen Image 3.0?

• amrrs

  today at 11:19 AM

  that's a very interesting point to test new models. I speak an Indian language called "Tamil" and have always tested new models with Tamil but also have tried little bit of Arabic (quranic verses) with previous GPT image 2 and Nanobanana pro and they have nailed it. Don't know if it was because of extensive training data.

  • shalom1112

    today at 11:38 AM

    [dead]

> to precisely describe the full 3×3 grid takes a full 3.7k tokens

It's a shame they didn't share that prompt - it would make that demo more convincing.

It's hilarious how bad image generation is. I just tried this out and I gave it two actual logos, a full design language spec, and three screenshots of the actual application and it spat out three absolutely awful images, none of which had the same logo as the one I sent.

Not a single word about when/if they'll actually release the weights for this, or am I missing it somewhere?

• user43928

  today at 9:08 AM

  Considering Qwen-Image-2.0 weights have not been released either, it unfortunately looks unlikely.

• vunderba

  today at 3:34 PM

  After Z-Image and the original Qwen-Image - I think they've pivoted completely to closed source. From the images I've seen, Qwen-Image 3.0 is just a subpar equivalent to other proprietary models like gpt-image-2 and nb-pro.

• vachina

  today at 10:48 AM

  Why release it just so Cursor/Azure/Amazon can profit off of it? Unless OpenAI actually opens it up fat chance.

I am surprised by the rather bad output. It doesn't achieve qwen image 1 quality in composition or anatomical correctness. Tested on chat.qwen.ai

I am seeing third legs and glowing eyes. It's a Microsoft Lens level of quality and that one was pulled.

I 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.

• DaiPlusPlus

  today at 12:36 PM

  …but the illustrative diagrams are a simulacrum; if you ask Qwen, or any image-generator, for an “accurate” poster-design featuring a representation of a model of an atom and explaining its constituent parts I expect you’ll get an imitation-airbrush rendering of red, blue, and grey table-tennis balls orbiting in perfect circles; you might get an electron-shell diagram if you’re lucky. What you won’t get is anything remotely related to probability-clouds.

  Edit: just to test myself I asked Nano Banana 2 to generate “an undergraduate infographic poster about how atoms work” - and the result was something right out of a middle-school science textbook and very Bohr…

  • sajithdilshan

    today at 12:44 PM

    This is the image I got for the same prompt: https://jumpshare.com/s/mqqBdl7U59FWPiEXjwoM. It's more like high-school level, but not bad. I can imagine a collage professor can improve the prompt the create a more accurate and detailed diagram

  • zarzavat

    today at 12:45 PM

    This seems like something that could be solved by asking an LLM to write the prompt for the image model. You can also feed in the output of an image model into an LLM and ask it to check it/make improvements.

    • R_D_Olivaw

      today at 5:55 PM

      This is the way.

      There's definitely more dogfooding that needs to be done. And id argue that if your purpose is truly to learn or to teach, the process of describing that image will do wonders for retention.

      • DaiPlusPlus

        today at 6:52 PM

        > if your purpose is truly to learn or to teach, the process of describing that image will do wonders for retention.

        If you're wanting to learn then you won't have the expertise to craft a prompt that has the correct details or to spot when the model makes a mistake in its output.

        If you're in a teaching position then you won't have anything to learn.

        • verve_rat

          today at 7:44 PM

          Not necessarily. A reproduction task as a spaced repetition activity can help embed learning. If you are trying to write that prompt there is no reason you can't refer back to the text book to build the prompt and check the output.

• wincy

  today at 2:30 PM

  My wife has taken all her recipes and fed them through ChatGPT image gen to make zine pages and they’re really cool! She’s building a recipe book for the kids so they’ll know all the recipes from their childhood.

The "piss filter" is still everywhere.

Zooming 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...

> Supports up to 4.5k token input, effortlessly generating complex layouts such as newspapers, storyboards, and exam papers.

Impressive.

Btw, what is currently the best model to run locally on a 16GB Vram? Is it Z-Image Turbo?

• woadwarrior01

  today at 9:08 AM

  Krea-2-Turbo. I've even got it working locally on my M5 iPad Pro.

  • Izmaki

    today at 11:11 AM

    > We implemented safety measures across the full model development lifecycle.

    Any suggestions for the best open, non-opinionated model?

    • woadwarrior01

      today at 12:55 PM

      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.

      • Izmaki

        today at 5:34 PM

        What's your favourite (online or offline) model for image generation?

    • bitexploder

      today at 12:59 PM

      You can also ablate it.

  • Mashimo

    today at 9:12 AM

    thanks mate. Sadly not supported yet by Invoke, but I will take a look.

Random question, but has there been any improvement in OCR/document understanding in these newer models? Last time I checked (1mo ago) SOTA was still sadly Gemini, unless you wanted to pay $$$ for e.g. Sol

• hawtads

  today at 5:37 PM

  Not sure about OCR specifically, but the newer (past quarter) vision language models all have a lot of post training on detecting garbled text specifically. You can feed some of the old stable diffusion outputs into a modern model and they can figure out pretty reliably if the text gen is mangled. I think the feature is probably used as part of the RL for the image gen to correct for bad text rendering.

It failed to create a simple overlay on a map - something ChatGPT had no issues with.

What I can not wrap my head around: How are these models trained?

What training mechanism or model architecture provides the glue to go from human text to images?

Don't you need to have millions of really descriptively labelled images?

• nucleative

  today at 2:36 PM

  That's exactly how they do it.

  There are ML models that do the reverse and output image to text, which assist quite a lot.

  The better the text represents the unique thing in the photo, the better the model understands what that text means.

• vonneumannstan

  today at 2:54 PM

  Short answer yes.

  Slightly longer answer for older text to image models you teach them how to encode images and text into the same latent space. Then you simply do a conversion, take a text input, put it into latent space and then extract the image that latent space represents.

• today at 2:35 PM

• mistercheph

  today at 2:33 PM

  I found this 3b1b guest video on diffusion helpful: https://www.youtube.com/watch?v=iv-5mZ_9CPY

I assume Van Gogh didn't paint enough hands to train from!

The examples posted on their launch blog page are quite impressive, especially for fine details, multi-panel/multi-page and text rendering.

But: not open-source/open-weights, and no indication that weights/source will be released either.

How long until we get rid of the AI "plasticness" in portrait kind of generated images?

• jrs100000

  today at 10:16 AM

  The right models and LORAs can get rid of it right now. People apparently really like everyone to look like over exposed over filtered mannequins, so the big companies target that look.

  • lifeofpi331144

    today at 4:50 PM

    what are the right models and loras?

  • cubefox

    today at 3:48 PM

    I think it's unintentional. People usually dislike any recognizable "AI look", but they do like other aspects which might have an unrealistic AI look as a side effect.

    For example, Google's Imagen 3 usually looked a lot less fake than the newer Imagen 4, but the latter still scored higher on most benchmarks because it made fewer mistakes and had better prompt following capabilities.

    A similar thing happened with Dalle-E 2 and Dell-E 3: The new model was better but also more fake looking.

• aitchnyu

  today at 10:11 AM

  There is an IRL phenomena, glass skin skincare and makeup, where the person's skin is evenly flat and toned and glossy. Did you think they are more plasticky than IRL models?

  • numpad0

    today at 11:29 AM

    That's supposed to make skin appear lively. Human skins in AI images tend to look clouded, opaque, and overall un-alive, so to speak.

• today at 10:35 AM

No pricing table? No benchmarks? This is just marketingslop.

Image token pricing has been fairly steady while text token prices fall, yet image model release discussion seems to be more focused on how beautiful the women the model generates are versus any sort of substantive discussion.

Seems that this will not be open weights?

once a.i images took over - a lot of things that were based on images died.

going to a fancy restaurant coz of 'you can take good pics' - dead - a.i can recreate that cheaper.

which means for a certain demographic - dating apps are dead too - since those were largely based on swiping photos.

the premium of in-person / small intimate events has gone up. likewise meeting in person, or doing things with a person live.

this also means imperfection has gone up in value (imperfection is a human quality).

• jarjoura

  today at 4:51 PM

  I would attribute any in-person cultural shift to the generation of 20-somethings trapped online during their teenage years from COVID. They are finally old enough, and have enough power to run things.

• BoorishBears

  today at 4:19 PM

  "the premium of in person" is a string of words that only means something to people in a very specific circle where everyone is constantly trying to tastemake and write in lower case.

  Ironically they have extremely limited influence on how the larger world moves: normal people won't meaningfully change their habits around eating good food or meeting up with each other just because AI can generate a picture of either.

• hankbond

  today at 3:41 PM

  the era of wabi-sabi is among us.

I’d argue that talking about “authentic” AI-generated images is oxymoronic.

I wonder if they got permission to generate that (admittedly impressive) Berserk image.

> In the three examples below, the model accurately renders Japanese, Korean, and Spanish respectively.

And yet the Korean text is not accurate... [1]

[1] E.g. "드레스 컬렉션 dress collection" has vowels ㅔ mixed with ㅐ, "초웜한" should be "초월한 exceeding", "신키한" should be "실키한 silky", "디자언되다" should be "디자인되다 have been designed", "로얼" should be "로열 royal", and so on.

Again not released on huggingface immediately?

Image generation is the least interesting and most concerning aspect of AI.

I see lots of useful tools made related to translation and code generation, but image generation seems to be primarily used to deceive, harass, or embelish to the point of questioning what the point of a photo is anymore anyway?

• kthartic

  today at 6:37 PM

  I can give one innocent example - I made an app that summarises D&D sessions, including images to depict some of the scenes.

  But I understand the jaded perspective. I guess the idea of ‘deepfakes’ didn’t give AI image gen a great reputational start.

It's a bit shocking to see them showing off blatantly disinformation-al examples. See the Japanese manga one. It says "原作 監修 三浦建太郎" which says its original is written by, and it is supervised the by, the famous author (who died a few years ago so who can he possibly supervise?) and "共同制作 白泉社" saying: collaborated by a (famous Japanese) publisher.

I hope these stakeholders have good enough layers.

The red-dress woman's vestigial pinkie toes …

the natural endpoint of this technology is product photos that look better than the actual product, which is going to make unboxing videos the last remaining source of truth on the internet

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

• simonw

  today at 11:06 AM

  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.

• vunderba

  today at 3:39 PM

  It's a proprietary model as a service - it doesn't require anything outside of a browser. But even when they released open-weight (the original Qwen-Image) it's a diffusion model and can't use custom font files.

didn’t anthropic accuse them of stealing fable?

The generated latex pdf!

It will be interesting to compare this to Flux 2.

The blog write-up style is so casual haha.

Wow, it displays Korean properly without breaking. But there are still a lot of typos. Haha, it's good that Korean displays properly, but there are a lot of incorrect sentences

• sheept

  today at 9:50 AM

  I find it mildly interesting how your comment repeats itself but with different phrasing

  • jdw64

    today at 10:20 AM

    It's because of the structure of Korean. I think in Korean first, so I end up translating it directly.

    When I want to emphasize something, I tend to repeat it

Impressive, but their woman face generation always use very similar, too perfect, same prettiness faces, it's very obvious.

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.

• viraptor

  today at 10:39 AM

  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.

  • yorwba

    today at 11:09 AM

    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.

    • spwa4

      today at 11:59 AM

      ... but if you want an accurate graph, why not ask the LLM model to put the data points into a graphing library?

  • gpjanik

    today at 1:55 PM

    I am not expecting it, it's the Qwen team is claimingthey can do much harder tasks than this, like rendering a consistent page of a maths paper, or creating true to fact explainers.

    They can't.

interesting

Midjourney already knew that image generation was going to zero. Again yet another reason why the model was never a moat in the first place.

• amelius

  today at 5:55 PM

  The moat is the training data. But somehow we've collectively decided that it's not.

Appears to be closed-weights entirely. No word at all on any weights release.

This looks impressive！

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THIS IS EXACTLY WHAT I WAS LOOKING FOR

why I cant submitte new posts here ? My account since 2016

• cubefox

  today at 3:51 PM

  Probably because you have too few upvoted comments. The rules likely got stricter when LLMs started to infiltrate Hacker News.