26 ms·

Qwen-Image-2.0: Professional infographics, exquisite photorealism

• Deukhoofd 8mo ago
  The text rendering is quite impressive, but is it just me or do all these generated 'realistic' images have a distinctly uncanny feel to it. I can't quite put my finger on it what it is, but they just feel off to me.
  • belter 8mo ago
    Agree, looks like the same effect they are applying on YouTube Shorts...
  • BoredPositron 8mo ago
    Qwen always suffered from their subpar rope implementation and qwen 2 seems to suffer from it as well. The uncanny feel is down to the sparsity of text to image token and the higher in resolution you go the worse it gets. It's why you can't take the higher ends of the MP numbers serious no matter the model. At the moment there is no model that can go for 4k without problems you will always get high frequency artifacts.
  • likium 8mo ago
    At least for the real life pictures, there’s no depth of field. Everything is crystal clear like it’s composited.
    • derefr 8mo ago
      > like its composited Like focus stacking, specifically. I’m always surprised when people bother to point out more-subtle flaws in AI images as “tells”, when the “depth-of-field problem” is so easily spotted, and has been there in every AI image ever since the earliest models.
      • Mashimo 8mo ago
        I had no problems getting images with blurry background with the appropriate prompts. Something like "shallow depth of fields, bokeh, DSLR" can lead to good results. https://cdn.discordapp.com/attachments/1180506623475720222/1456789321091649769/image.png?ex=698bbd47&is=698a6bc7&hm=d949f70e4ac8b0173f8addc6947a1bade5482b54e592712da1c1950166f30f42& https://cdn.discordapp.com/attachments/1180506623475720222/1... [0] But I found that that results in more professional looking images, and not more realistic photos. Adding something like "selfy, Instagram, low resolution, flash" can lead to a .. worse image that looks more realistic. [0] I think I did this one with z image turbo on my 4060 ti
        • afro88 8mo ago
          The blur isn't correct though. Like the amount of blur is wrong for the distance, zoom amount etc. So the depth of field is really wrong even if it conforms to "subject crisp, background blurred"
          • derefr 8mo ago
            Exactly. My personal mechanistic understanding of diffusion models is that, "under the hood", the core thing they're doing, at every step and in every layer, is a kind of apophenia — i.e. they recognize patterns/textures they "know" within noise, and then they nudge the noise (least-recognizable pixels) in the image toward the closest of those learned patterns/textures, "snapping" those pixels into high-activation parts of their trained-in texture-space (with any text-prompt input just adding a probabilistic bias toward recognizing/interpreting the noise in certain parts of the image as belonging to certain patterns/textures.) I like to think of these patterns/textures that diffusion models learn as "brush presets", in the Photoshop sense of the term: a "brush" (i.e. a specific texture or pattern), but locked into a specific size, roughness, intensity, rotation angle, etc. Due to the way training backpropagation works (and presuming a large-enough training dataset), each of these "brush presets" that a diffusion model learns, will always end up learned as a kind of "archetype" of that brush preset. Out of a collection of examples in the training data where uses of that "brush preset" appear with varying degrees of slightly-wrong-size, slightly-wrong-intensity, slightly-out-of-focus-ness, etc, the model is inevitably going to learn most from the "central examples" in that example cluster, and distill away any parts of the example cluster that are less shared. So whenever a diffusion model recognizes a given one of its known brush presets in an image and snaps pixels toward it, the direction it's moving those pixels will always be toward that archetypal distilled version of that brush preset: the resultant texture in perfect focus, and at a very specific size, intensity, etc. This also means that diffusion models learn brushes at distinctively-different scales / rotation angles / etc as entirely distinct brush presets. Diffusion models have no way to recognize/repair toward "a size-resampled copy of" one of their learned brush presets. And due to this, diffusion models will never learn to render in details small enough that the high-frequency components of of their recognizable textural-detail would be lost below the Nyquist floor (which is why they suck so much at drawing crowds, tiny letters on signs, etc.) And they will also never learn to recognize or reproduce visual distortions like moire or ringing, that occur when things get rescaled to the point that beat-frequencies appear in their high-frequency components. Which means that: - When you instruct a diffusion model that an image should have "low depth-of-field", what you're really telling it is that it should use a "smooth-blur brush preset" to paint in the background details. - And even if you ask for depth-of-field, everything in what a diffusion model thinks of as the "foreground" of an image will always have this surreal perfect focus, where all the textures are perfectly evident. - ...and that'll be true, even when it doesn't make sense for the textures to be evident at all, because in real life, at the distance the subject is from the "camera" in the image, the presumed textures would actually be so small as to be lost below the Nyquist floor at anything other than a macro-zoom scale. These last two problems combine to create an effect that's totally unlike real photography, but is actually (unintentionally) quite similar to how digital artists tend to texture video-game characters for "tactile legibility." Just like how you can clearly see the crisp texture of e.g. denim on Mario's overalls (because the artist wanted to make it feel like you're looking at denim, even though you shouldn't be able to see those kinds of details at the scaling and distance Mario is from the camera), diffusion models will paint anything described as "jeans" or "denim" as having a crisply-evident denim texture, despite that being the totally wrong scale. It's effectively a "doll clothes" effect — i.e. what you get when you take materials used to make full-scale clothing, cut tiny scraps of those materials to make a much smaller version of that clothing, put them on a doll, and then take pictures far closer to the doll, such that the clothing's material textural detail is visibly far larger relative to the "model" than it should be. Except, instead of just applying to the clothing, it applies to every texture in the scene. You can see the pores on a person's face, and the individual hairs on their head, despite the person standing five feet away from the camera. Nothing is ever aliased down into a visual aggregate texture — until a subject gets distant enough that the recognition maybe snaps over to using entirely different "brush preset" learned specifically on visual aggregate textures.
    • albumen 8mo ago
      Every photoreal image on the demo page has depth of field, it’s just subtle.
    • vunderba 8mo ago
      Which is pretty amusing - because it's the exact opposite problem that BFL had with the original Flux model - every single image looked like it was taken with a 200mm f/4.
  • GaggiX 8mo ago
    For me the only model that can really generate realistic images is nano banana pro (also known as gemini-3-pro-image). Other models are closing the gap, this one is pretty meh in my opinion in realistic images.
    • Mashimo 8mo ago
      You can get flux and maybe z-image to do so, but you have to experiment with the promt a bit. Or maybe get an LoRa to help.
      • cubefox 8mo ago
        The examples I saw of z-image look much more realistic than Nano Banana Pro, which is likely using Imagen 4 (plus editing) internally, which isn't very realistic. But Nano Banana Pro has obviously much better prompt alignment than something like z-image.
        • GaggiX 8mo ago
          Are you sure you are not confusing nano banana pro for nano banana, z-image still has a bit of AI look that I do not find with nano banana pro, example for a comparison: https://i.ibb.co/YFtxs4hv/594068364-25101056889517041-3403691802764342974-n.jpg https://i.ibb.co/YFtxs4hv/594068364-25101056889517041-340369... Also Imagen 4 and Nano Banana Pro are very different models.
          • cubefox 8mo ago
            In your example, z-image and Nano Banana Pro look basically equally photorealistic to me. Perhaps the NBP image looks a bit more real because it resembles an unstaged smartphone shot with wide angle. Anyway, the difference is very small. I agree the lighting in Flux.2 Pro looks a bit off. But anyway, realistic environments like a street cafe are not suited to test for photorealism. You have to use somewhat more fantastical environments. I don't have access to z-image, but here are two examples with Nano Banana Pro: "A person in the streets of Atlantis, portrait shot." https://i.ibb.co/DgMXzbxk/Gemini-Generated-Image-7agf9b7agf9b7agf.png https://i.ibb.co/DgMXzbxk/Gemini-Generated-Image-7agf9b7agf9... "A person in the streets of Atlantis, portrait shot (photorealistic)" https://i.ibb.co/nN7cTzLk/Gemini-Generated-Image-l1fm5al1fm5al1fm.png https://i.ibb.co/nN7cTzLk/Gemini-Generated-Image-l1fm5al1fm5... These are terribly unrealistic. Far more so than the Flux.2 Pro image above. > Also Imagen 4 and Nano Banana Pro are very different models. No, Imagen 4 is a pure diffusion model. Nano Banana Pro is a Gemini scaffold which uses Imagen to generate an initial image, then Gemini 3 Pro writes prompts to edit the image for much better prompt alignment. The prompts above a very simple, so there is little for Gemini to alter, so they look basically identical to plain Imagen 4. Both pictures (especially the first) have the signature AI look of Imagen 4, which is different from other models like Imagen 3. By the way, here is GPT Image 1.5 with the same prompts: "A person in the streets of Atlantis, portrait shot." https://i.ibb.co/Df8nDHFL/Chat-GPT-Image-10-Feb-2026-14-17-13.png https://i.ibb.co/Df8nDHFL/Chat-GPT-Image-10-Feb-2026-14-17-1... "A person in the streets of Atlantis, portrait shot (photorealistic)" https://i.ibb.co/Nns4pdGX/Chat-GPT-Image-10-Feb-2026-14-17-22.png https://i.ibb.co/Nns4pdGX/Chat-GPT-Image-10-Feb-2026-14-17-2... The first is very fake and the second is a strong improvement, though still far from the excellent cafe shots above (fake studio lighting, unrealistic colors etc).
  • finnjohnsen2 8mo ago
    I agree. They makes me nauseous. The same kind of light nausea as car sickness. I assume our brains are used to stuff which we dont notice conciously, and reject very mild errors. I've stared at the picture a bit now and the finger holding the baloon is weird. The out of place snowman feels weird. If you follow the background blur around it isnt at the same depth everywehere. Everything that reflects, has reflections that I cant see in the scene. I dont feel good staring at it now so I had to stop.
    • jbl0ndie 8mo ago
      Sounds like you're describing the uncanny valley https://en.wikipedia.org/wiki/Uncanny_valley https://en.wikipedia.org/wiki/Uncanny_valley
  • elorant 8mo ago
    The lighting is wrong, that's what's telling to me. They look too crisp. No proper shadows, everything looks crystal clear.
    • techpression 8mo ago
      It’s the HDR era all over again, where people edited their photos to lack all contrast and just be ultra flat.
  • brookst 8mo ago
    Everything is weightless. When real people stand and gesture there’s natural muscle use, hair and clothing drape, papers lay flat on surfaces.
• dsrtslnd23 8mo ago
  unfortunately no open weights it seems.
  • embedding-shape 8mo ago
    To be fair, didn't they release open weights image model only like a ~month ago? Think last one was in December 2025.
    • vunderba 8mo ago
      Exactly - they did the same thing with the original version of Qwen-Image. It was API only for a while before being made available for local hosting.
• raincole 8mo ago
  It's crazy to think there was a fleeting sliver of time during which Midjourney felt like the pinnacle of image generation.
  • Mashimo 8mo ago
    What ever happend to midjourney?
    • raincole 8mo ago
      Not much, while everything happened at OpenAI/Google/Chinese companies. And that's the problem.
      • KeplerBoy 8mo ago
        How is it a problem? There simply doesn't seem to be a moat or secret sauce. Who cares which of these models is SOTA? In two months there will be a new model.
        • waldarbeiter 8mo ago
          There seems to be a moat like infrastructure/gpus and talent. The best models right now come from companies with considerable resources/funding.
          • esperent 8mo ago
            Right, but that's a short term moat. If they pause on their incredible levels of spending for even 6 months, someone else will take over having spent only a tiny fraction of what they did. They might get taken over anyway.
            • raincole 8mo ago
              > someone else will take over having spent only a tiny fraction of what they did How. By magic? You fell for 'Deepseek V3 is as good as SOTA'?
• skerit 8mo ago
  > Qwen-Image-2.0 not only accurately models the “riding” action but also meticulously renders the horse’s musculature and hair > https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/Qwen-Image/image2/12.png#center https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/Qwe... What the actual fuck
  • wongarsu 8mo ago
    For reference, below is the prompt translated (with my highlighting of the part that matters). They did very much ask for this version of "horse riding a man", not the "horse sitting upright on a crawling human" version --- A desolate grassland stretches into the distance, its ground dry and cracked. Fine dust is kicked up by vigorous activity, forming a faint grayish-brown mist in the low sky. Mid-ground, eye-level composition: A muscular, robust adult brown horse stands proudly, its forelegs heavily pressing between the shoulder blades and spine of a reclining man. Its hind legs are taut, its neck held high, its mane flying against the wind, its nostrils flared, and its eyes sharp and focused, exuding a primal sense of power. The subdued man is a white male, 30-40 years old, his face covered in dust and sweat, his short, messy dark brown hair plastered to his forehead, his thick beard slightly damp; he wears a badly worn, grey-green medieval-style robe, the fabric torn and stained with mud in several places, a thick hemp rope tied around his waist, and scratched ankle-high leather boots; his body is in a push-up position—his palms are pressed hard against the cracked, dry earth, his knuckles white, the veins in his arms bulging, his legs stretched straight back and taut, his toes digging into the ground, his entire torso trembling slightly from the weight. The background is a range of undulating grey-blue mountains, their outlines stark, their peaks hidden beneath a low-hanging, leaden-grey, cloudy sky. The thick clouds diffuse a soft, diffused light, which pours down naturally from the left front at a 45-degree angle, casting clear and voluminous shadows on the horse's belly, the back of the man's hands, and the cracked ground. The overall color scheme is strictly controlled within the earth tones: the horsehair is warm brown, the robe is a gradient of gray-green-brown, the soil is a mixture of ochre, dry yellow earth, and charcoal gray, the dust is light brownish-gray, and the sky is a transition from matte lead gray to cool gray with a faint glow at the bottom of the clouds. The image has a realistic, high-definition photographic quality, with extremely fine textures—you can see the sweat on the horse's neck, the wear and tear on the robe's warp and weft threads, the skin pores and stubble, the edges of the cracked soil, and the dust particles. The atmosphere is tense, primitive, and full of suffocating tension from a struggle of biological forces.
• cocodill 8mo ago
  interesting riding application picture
  • rwmj 8mo ago
    "Guy being humped by a horse" wouldn't have been my first choice for demoing the capabilities of the model, but each to their own I guess.
    • viraptor 8mo ago
      It looks like a marketing move. It's a good quality, detailed picture. It's going to get shared a lot. I would assume they knew exactly what they were doing. Nothing like a bit of controversy for extra clicks.
      • brookst 8mo ago
        Because every ML researcher is a viral social media expert. (I don’t even know if I’m being sarcastic)
        • viraptor 8mo ago
          This is not some random ML researcher doing fun things at home. Qwen is backed by Alibaba cloud. They likely have whole departments of marketing people available.
      • popalchemist 8mo ago
        Depicting a man being anally raped by an animal is illegal in many places and immoral for most people. If you're downplaying it, take a walk and think about how you got to this place in your life.
        • viraptor 8mo ago
          > If you're downplaying it You're reading way too much into what I wrote.
• fguerraz 8mo ago
  I found the horse revenge-porn image at the end quite disturbing.
  • embedding-shape 8mo ago
    I think they call it "horse riding a human" which could have taken two very different directions, and the direction the model seems to have taken was the least worst of the two.
    • wongarsu 8mo ago
      At first I thought it's a clever prompt because you see which direction the model takes it, and whether it "corrects" it to the more common "human riding a horse" similar to the full wine glass test. But if you translate the actual prompt the term riding doesn't even appear. The prompt describes the exact thing you see in excruciating detail. "... A muscular, robust adult brown horse standing proudly, its forelegs heavily pressing between the shoulder blades and spine of a reclining man ... and its eyes sharp and focused, exuding a primal sense of power. The subdued man is a white male, 30-40 years old, his face covered in dust and sweat ... his body is in a push-up position—his palms are pressed hard against the cracked, dry earth, his knuckles white, the veins in his arms bulging, his legs stretched straight back and taut, his toes digging into the ground, his entire torso trembling slightly from the weight ..."
      • embedding-shape 8mo ago
        > But if you translate the actual prompt the term riding doesn't even appear. The prompt describes the exact thing you see in excruciating detail. Yeah, as they go through their workflow earlier in the blog post, that prompt they share there seems to be generated by a different input, then that prompt is passed to the actual model. So the workflow is something like "User prompt input -> Expand input with LLMs -> Send expanded prompt to image model". So I think "human riding a horse" is the user prompt, which gets expanded to what they share in the post, which is what the model actually uses. This is also how they've presented all their previous image models, by passing user input through a LLM for "expansion" first. Seems poorly thought out not to make it 100% clear what the actual humanly-written prompt is though, not sure why they wouldn't share that upfront.
• cubefox 8mo ago
  The complex prompt following ability and editing is seriously impressive here. They don't seem to be much behind OpenAI and Google. Which is backed op by the AI Arena ranking.
• yieldcrv 8mo ago
  when the horsey tranq hits
• wiether 8mo ago
  I use gen-AI to produce images daily, but honestly the infographics are 99% terrible. LinkedIn is filled with them now.
  • smcleod 8mo ago
    To be fair it hasn't made LinkedIn any worse than it already was.
    • nurettin 8mo ago
      To be fair, it is hard to make LinkedIn any worse.
      • embedding-shape 8mo ago
        I was gonna make a joke about "Wish granted, now Microsoft owns it" but then I remembered that they already do. Reality sometimes makes better jokes than what we can come up with.
      • aenis 8mo ago
        And at the same time, its arguably the least toxic of all social networks. Yes, cringeworthy but at least not addictive! Its like facebook all those years ago, i can IM friends from highschool without having to pay any attention to the feed.
        • aaroninsf 8mo ago
          You may be on to something there! Perhaps the solution to breaking the destruction of society via engagementmaxxing may be to make things cringeworthy!
        • protocolture 8mo ago
          >And at the same time, its arguably the least toxic of all social networks. Its "non toxic" insofar as people refuse to risk discussing controversial non employment related topics. Its super toxic insofar as "10 ways to herd your HR cattle to the productivity slaughterhouse" is just an average, uncontroversial self promo article.
• inanothertime 8mo ago
  I recently tried out LMStudio on Linux for local models. So easy to use! What Linux tools are you guys using for image generation models like Qwen's diffusion models, since LMStudio only supports text gen.
  • ilaksh 8mo ago
    I have my own MIT licensed framework/UI: https://github.com/runvnc/mindroot https://github.com/runvnc/mindroot. With Nano Banana via runvnc/googleimageedit
  • guai888 8mo ago
    ComfyUI is the best for stable diffusion
    • embedding-shape 8mo ago
      FWIW you can use non-sd models in ComfyUI too, the ecosystem is pretty huge and supports most of the "mainstream" models, not only the stable diffusion ones, even video models and more too.
  • embedding-shape 8mo ago
    Everything keeps changing so quickly, I basically have my own Python HTTP server with a unified JSON interface, then that can be routed to any of the impls/*.py files for the actual generation, then I have of those per implementation/architecture basically. Mostly using `diffusers` for the inference, which isn't the fastest, but tends to have the new model architectures much sooner than everyone else.
  • PaulKeeble 8mo ago
    Ollama is working on adding image generation but its not here yet. We really do need something that can run a variety of models for images.
    • embedding-shape 8mo ago
      Yeah, I'm guessing they were bound to leave behind the whole "Get up and running with large language models" mission sooner or later, which was their initial focus, as investors after 2-3 years start making you to start thinking about expansion and earning back the money. Sad state of affairs and seems they're enshittifying quicker than expected, but was always a question of when, not if.
• goga-piven 8mo ago
  Why is the only image featuring non-Asian men the one under the horse?
  • z3dd 8mo ago
    they explicitly called for that in the prompt
    • wtcactus 8mo ago
      But why? That image actually puzzled me. Does it have some background context? Some historical legend or something of the like?
      • joeycodes 8mo ago
        It is Lunar New Year season right now, 2026 is year of the horse, there is celebratory horse imagery everywhere in many Asian countries right now, so this image could be interpreted as East trampling West. I have no way to know the intention of the person at Qwen who wrote this, but you can form your own conclusions from the prompt: A muscular, robust adult brown horse stands proudly, its forelegs heavily pressing between the shoulder blades and spine of a reclining man. Its hind legs are taut, its neck held high, its mane flying against the wind, its nostrils flared, and its eyes sharp and focused, exuding a primal sense of power. The subdued man is a white male...
        • wtcactus 8mo ago
          [flagged]
      • badhorseman 8mo ago
        [dead]
    • goga-piven 8mo ago
      Exactly why did they choose this prompt with a white person and not an Asian person, as in all the other examples?
• singularfutur 8mo ago
  Another closed model dressed up as "coming soon" open source. The pattern is obvious: generate hype with a polished demo, lock the weights, then quietly move on. Real open source doesn't need a press release countdown.
  • kkzz99 8mo ago
    Good that we have the arbitrator of what "real open source" is and isn't over here.
    • yellowapple 8mo ago
      “Open source” is indeed an objective standard with actual criteria, and not just vibes. Luckily, it seems previous Qwen models did get open-sourced in the actual sense, so this one probably will be, too.
      • kkzz99 8mo ago
        Its one NGO trying to dictate what "open source" is and btw. according to that definition, Qwen isn't open source.
        • yellowapple 8mo ago
          > Its one NGO trying to dictate what "open source" is If you're referring to the OSI, they're the ones who invented the term “open source” in the first place, and are authoritative on what counts as “open source” and what doesn't. > and btw. according to that definition, Qwen isn't open source. Well yes, the lack of open-sourcing being the context of this thread :)
  • yorwba 8mo ago
    Where do you see a press release countdown? Alibaba consistently doesn't release weights for their biggest models, but they also don't pretend that they do.
    • 8mo ago
• sandbach 8mo ago
  The Chinese vertical typography is sadly a bit off. If punctuation marks are used at all, they should be the characters specifically designed for vertical text, like ︒(U+FE12 PRESENTATION FORM FOR VERTICAL IDEOGRAPHIC FULL STOP).
• deleted 8mo ago
  [deleted]
• badhorseman 8mo ago
  [dead]
• tianqi 8mo ago
  I've seen many comments describing the "horse riding man" example as extremely bizarre (which it actually is), so I'd like to provide some background context here. The "horse riding man" is a Chinese internet meme originating from an entertainment awards ceremony, when the renowned host Tsai Kang-yong wore an elaborate outfit featuring a horse riding on his back[1]. At the time, he was embroiled in a rumor about his unpublicized homosexual partner, whose name sounded "Ma Qi Ren" which coincidentally translates to "horse riding man" in Mandarin. This incident spread widely across Chinese internet and turned into a meme. So they used "horse riding man" as an example isn't entirely nonsensical, though the image per se is undeniably bizarre and carries an unsettling vibe. [1] The photo of the outfit: https://share.google/mHJbchlsTNJ771yBa https://share.google/mHJbchlsTNJ771yBa
  • badhorseman 8mo ago
    Why not ask for simply a man or even an Han man given the race of Tsai Kang-yong. Why a white man and why a man wearing medieval clothing. Gives your head a wobble.
    • deleted 8mo ago
      [deleted]
    • DustinEchoes 8mo ago
      Yep, it’s the only image on the entire page with a non-Chinese person in it. Given the prompt, the message is clear.
      • yorwba 8mo ago
        The message is "We watched Lord of the Rings and Game of Thrones and liked the medieval aesthetic enough to emulate it."
        • badhorseman 8mo ago
          remind me of the bit of lord of the rings where muscular horses dominate European peasant men, as per the prompt translation.
• wasmainiac 8mo ago
  [flagged]
• engcoach 8mo ago
  The "horse riding man" prompt is wild: """A desolate grassland stretches into the distance, its ground dry and cracked. Fine dust is kicked up by vigorous activity, forming a faint grayish-brown mist in the low sky. Mid-ground, eye-level composition: A muscular, robust adult brown horse stands proudly, its forelegs heavily pressing between the shoulder blades and spine of a reclining man. Its hind legs are taut, its neck held high, its mane flying against the wind, its nostrils flared, and its eyes sharp and focused, exuding a primal sense of power. The subdued man is a white male, 30-40 years old, his face covered in dust and sweat, his short, messy dark brown hair plastered to his forehead, his thick beard slightly damp; he wears a badly worn, grey-green medieval-style robe, the fabric torn and stained with mud in several places, a thick hemp rope tied around his waist, and scratched ankle-high leather boots; his body is in a push-up position—his palms are pressed hard against the cracked, dry earth, his knuckles white, the veins in his arms bulging, his legs stretched straight back and taut, his toes digging into the ground, his entire torso trembling slightly from the weight. The background is a range of undulating grey-blue mountains, their outlines stark, their peaks hidden beneath a low-hanging, leaden-grey, cloudy sky. The thick clouds diffuse a soft, diffused light, which pours down naturally from the left front at a 45-degree angle, casting clear and voluminous shadows on the horse's belly, the back of the man's hands, and the cracked ground. The overall color scheme is strictly controlled within the earth tones: the horsehair is warm brown, the robe is a gradient of gray-green-brown, the soil is a mixture of ochre, dry yellow earth, and charcoal gray, the dust is light brownish-gray, and the sky is a transition from matte lead gray to cool gray with a faint glow at the bottom of the clouds. The image has a realistic, high-definition photographic quality, with extremely fine textures—you can see the sweat on the horse's neck, the wear and tear on the robe's warp and weft threads, the skin pores and stubble, the edges of the cracked soil, and the dust particles. The atmosphere is tense, primitive, and full of suffocating tension from a struggle of biological forces."""
  • badhorseman 8mo ago
    some context for the perplexed. https://live2makan.com/2024/08/07/treasures-statue-of-horse-trampling-a-xiongnu-western-han-dynasty/ https://live2makan.com/2024/08/07/treasures-statue-of-horse-...
• vunderba 8mo ago
  Couple of thoughts: 1. I’d wager that given their previous release history, this will be open‑weight within 3-4 weeks. 2. It looks like they’re following suit with other models like Z-Image Turbo (6B parameters) and Flux.2 Klein (9B parameters), aiming to release models that can run on much more modest GPUs. For reference, the original Qwen-Image is a 20B-parameter model. 3. This is a unified model (both image generation and editing), so there’s no need to keep separate Qwen-Image and Qwen-Edit models around. 4. The original Qwen-Image scored the highest among local models for image editing in my GenAI Showdown (6 out of 12 points), and it also ranked very highly for image generation (4 out of 12 points). Generative Comparisons of Local Models: https://genai-showdown.specr.net/?models=fd,hd,kd,qi,f2d,zt https://genai-showdown.specr.net/?models=fd,hd,kd,qi,f2d,zt Editing Comparison of Local Models: https://genai-showdown.specr.net/image-editing?models=kxd,og2,qe,f2d https://genai-showdown.specr.net/image-editing?models=kxd,og... I'll probably be waiting until the local version drops before adding Qwen-Image-2 to the site.
  • SV_BubbleTime 8mo ago
    For the more technical… Qwen 2512 (December edition of Qwen Image) * 19B parameters, which was a 40GB file at FP16 and fit on a 3090 at FP8. Anything less than that and you were in GGUF format at Q6 to Q4 quantizations… which were slow, but still good quality. * used Qwen 2.5 VL. So a large model and a very good vision model. * And iirc, their own VAE. Which had known and obvious issues of high frequency artifacts. Some people would take the image and pass it through another VAE like WAN Video model’s or upscale-downscale to remove these Qwen 2 now is * a 7B param model. Right between Klein 9B (non-commercial) this (license unknown), Z-Image 7B (Apache), and Klein 4B (Apache). Direct competition, will fit on many more GPUs even at FP16. * upgrades to Qwen 3 VL, I assume this is better than the already great 2.5 VL. * Unknown on the new VAE. Flux2’s new 128 channel VAE is excellent, but it hasn’t been out long enough for even a frontier Chinese model to pick up. Overall, you’re right this is on the trend to bring models on to lower end hardware. Qwen was already excellent and now they rolled Image and Edit together for an “Omni” model. Z-Image was the model to beat a couple weeks ago… and now it looks like both Klein and Qwen will! Z-Image has been disappointing to see how it just refuses to adhere to multiple new training concepts. Maybe they tried to pack it too tightly. Open weights for this will be amazing. THREE direct competitors all vying to be “SDXL2” at the same time. The Qwen convention was confusing! You had Image, 2509, Edit, 2511 (Edit), 2512 (Image) and then the Lora compatibility was unspecified. It’s smart to just 2.0 this mess.
• wtcactus 8mo ago
  So, I've just gave it this prompt: "Analyze this webpage: https://en.wikipedia.org/wiki/1989_Tiananmen_Square_protests_and_massacre https://en.wikipedia.org/wiki/1989_Tiananmen_Square_protests... Generate an infographic with all the data about the main event timeline and estimated number of victims. The background image should be this one: https://en.wikipedia.org/wiki/Tank_Man#/media/File https://en.wikipedia.org/wiki/Tank_Man#/media/File :Tank_Man_(Tiananmen_Square_protester).jpg Improve the background image clarity and resolution." I've received an error: "Oops! There was an issue connecting to Qwen3-Max. Content Security Warning: The input file data may contain inappropriate content." I wonder if locally running the model they published in December does have the same censorship in place (i.e. if it's already trained like this), or if they implement the censorship by the Chinese regimen in place for the web service only.
• engcoach 8mo ago
  My response to the horse image: https://i.postimg.cc/hG8nJ4cv/IMG-5289-copy.jpg https://i.postimg.cc/hG8nJ4cv/IMG-5289-copy.jpg
• ranger_danger 8mo ago
  When I tried Qwen-Image-2512 I could not even get it to spell correctly. And often the letters would be garbled anyways.
• thisisit 8mo ago
  I liked their comic panels example and tried it using their chat at: https://chat.qwen.ai/ https://chat.qwen.ai/ When I used the exact prompt the post - the chat works. It gives me the exact output from the blog post. Then I used Google Translate to understand the prompt format. The prompt is: A 4x6 panel comic, four lines, six panels per line. Each panel is separated by a white dividing line. The first row, from left to right: Panel 1: Panel 2: ..... and when I try to change the inputs the comic example fails miserably. It keeps creating random grids - sometimes 4x5 other times 4x6 but then by third row the model will get confused and the output has only 3 panels. Other times English dialogue is replaced with Chinese dialogue. so, not very reliable in my books.
• modzu 8mo ago
  image generation kind of reminds me of video games or any cgi in general.. the progress is undeniable, and yet with every milestone it seems the last gap to "photorealism" is infinitely wide
• okandship 8mo ago
  i loved they said qwen image 2.0 models over 23 distinct shades of green. sounds poetic somehow