[HN Gopher] Qwen-Image-2.0: Professional infographics, exquisite...
___________________________________________________________________
Qwen-Image-2.0: Professional infographics, exquisite photorealism
Author : meetpateltech
Score : 359 points
Date : 2026-02-10 09:19 UTC (13 hours ago)
(HTM) web link (qwen.ai)
(TXT) w3m dump (qwen.ai)
| Deukhoofd wrote:
| 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 wrote:
| Agree, looks like the same effect they are applying on YouTube
| Shorts...
| BoredPositron wrote:
| 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 wrote:
| At least for the real life pictures, there's no depth of field.
| Everything is crystal clear like it's composited.
| derefr wrote:
| > 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 wrote:
| 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://c
| dn.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 wrote:
| 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 wrote:
| 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 wrote:
| Every photoreal image on the demo page has depth of field,
| it's just subtle.
| vunderba wrote:
| 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 wrote:
| 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 wrote:
| 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 wrote:
| 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 wrote:
| 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/594068364-25101056889517041-340
| 369...
|
| Also Imagen 4 and Nano Banana Pro are very different
| models.
| cubefox wrote:
| 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-7agf9b7agf9...
|
| "A person in the streets of Atlantis, portrait shot
| (photorealistic)" 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-2026-14-17-1...
|
| "A person in the streets of Atlantis, portrait shot
| (photorealistic)" 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).
| GaggiX wrote:
| >In your example, z-image and Nano Banana Pro look
| basically equally photorealistic to me
|
| I disagree, nano banana pro result is on a completely
| different league compare to flux.2 and z-image.
|
| >But anyway, realistic environments like a street cafe
| are not suited to test for photorealism
|
| Why? It's the perfect settings in my opinion.
|
| Btw I don't think you are using nano banana pro, probably
| standard nano banana, I'm getting this from your prompt:
| https://i.ibb.co/wZHx0jS9/unnamed-1.jpg
|
| >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.
|
| First of all how should you know the architecture details
| of gemini-3-pro-image, second of all how the model can
| modify the image if gemini itself is just rewriting the
| prompt (like old chatgpt+dalle), imagen 4 is just a text-
| to-image model, not an editing one, it doesn't make
| sense, nano banana pro can edit images (like the ones you
| can provide).
| cubefox wrote:
| > I disagree, nano banana pro result is on a completely
| different league.
|
| I strongly disagree. But even if you are right, the
| difference between the cafe shots and the Atlantis shots
| is clearly much, much larger than the difference between
| the different cafe shots. The Atlantis shots are super
| unrealistic. They look far worse than the cafe shots of
| Flux.2 Pro.
|
| > Why? It's the perfect settings in my opinion
|
| Because it's too easy obviously. We don't need an AI to
| make fake realistic photos of realistic environments when
| we can easily photograph those ourselves. Unrealistic
| environments are more discriminative because they are
| much more likely to produce garbage that doesn't look
| photorealistic.
|
| > Btw I don't think you are using nano banana pro, I'm
| getting this from your prompt:
| https://i.ibb.co/wZHx0jS9/unnamed-1.jpg
|
| I'm definitely using Nano Banana Pro, and your picture
| has the same strong AI look to it that is typical of NBP
| / Imagen 4.
|
| > First of all how should you know the architecture
| details of gemini-3-pro-image, second of all how the
| model can modify the image if gemini itself is just
| rewriting the prompt (like old chatgpt+dalle), imagen 4
| is just a text-to-image model, not an editing one, it
| doesn't make sense, nano banana pro can edit images (like
| the ones you can provide).
|
| There were discussions about it previously on HN. Clearly
| NBP is using Gemini reasoning, and clearly the style of
| NBP strongly resembles Imagen 4 specifically. There is
| probably also a special editing model involved, just like
| in Qwen-Imahe-2.0.
| GaggiX wrote:
| >Because it's too easy obviously.
|
| Still the vast majority of models fail at delivery an
| image that looks real, I want realism for a realistic
| settings, if it can't do that than what's the point. Of
| course you can always pay people and equipment to make
| the perfect photo for you ahah
|
| If the image of z-image turbo looks as good as the nano
| banana pro one for you, you are probably too used to slop
| that a model that do not produce obvious artifacts like
| super shiny skin it's immediately undistinguishable from
| a real image (like the nano banana pro one that to me
| looks as real as a real photo) and yes I'm ignoring the
| fact that in the z-image-turbo the cup is too large and
| the bag is inside the chair. Z-image is good (in
| particular given its size) but not as good.
| cubefox wrote:
| It seems you are ignoring the fact that the NBP Atlantis
| pictures looks much, much worse than the z-image picture
| of the cafe. They look far more like AI slop. (Perhaps
| the Atlantis prompt would look even worse with z-image, I
| don't know.)
| GaggiX wrote:
| I have generated my own using your prompt and post it in
| the previous comment. You haven't posted a z-image one of
| Atlantis. I'm not at home to try but I have trained lora
| for z-image (it's a relatively lightweight model), I know
| the model, it's not as good as nano banana pro. Use what
| you prefer.
| cubefox wrote:
| > I have generated my own using your prompt and post it
| in the previous comment.
|
| Yes, and it has a very unrealistic AI look to it. That
| was my point.
|
| > You haven't posted a z-image one of Atlantis.
|
| Yes, I don't doubt that it might well be just as
| unrealistic or even worse. I also just tried the Atlantis
| prompts in Grok (no idea what image model they use
| internally) and they look somewhat more realistic, though
| not on cafe level.
| finnjohnsen2 wrote:
| 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 wrote:
| Sounds like you're describing the uncanny valley
| https://en.wikipedia.org/wiki/Uncanny_valley
| elorant wrote:
| The lighting is wrong, that's what's telling to me. They look
| too crisp. No proper shadows, everything looks crystal clear.
| techpression wrote:
| It's the HDR era all over again, where people edited their
| photos to lack all contrast and just be ultra flat.
| brookst wrote:
| Everything is weightless. When real people stand and gesture
| there's natural muscle use, hair and clothing drape, papers lay
| flat on surfaces.
| dsrtslnd23 wrote:
| unfortunately no open weights it seems.
| embedding-shape wrote:
| To be fair, didn't they release open weights image model only
| like a ~month ago? Think last one was in December 2025.
| vunderba wrote:
| 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 wrote:
| It's crazy to think there was a fleeting sliver of time during
| which Midjourney felt like the pinnacle of image generation.
| Mashimo wrote:
| What ever happend to midjourney?
| raincole wrote:
| Not much, while everything happened at OpenAI/Google/Chinese
| companies. And that's the problem.
| KeplerBoy wrote:
| 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 wrote:
| There seems to be a moat like infrastructure/gpus and
| talent. The best models right now come from companies
| with considerable resources/funding.
| esperent wrote:
| 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 wrote:
| > 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'?
| Gud wrote:
| By reverse engineering, sheer stupidity from the
| competition, corporate espionage, 'stealing' engineers
| and sometimes a stroke of genius, the same as it's always
| been
| wongarsu wrote:
| They have image and video models that are nowhere near SOTA
| on prompt adherence or image editing but pretty good on the
| artistic side. They lean in on features like reference images
| so objects or characters have a consistent look, biasing the
| model towards your style preferences, or using moodboards to
| generate a consistent style
| Lalabadie wrote:
| No external funding raised. They're not on the VC path, so no
| need to chase insane growth. They still have around 500M USD
| in ARR.
|
| In my (very personal) opinion, they're part of a very small
| group of organizations that sell inference under a sane and
| successful business model.
| spaceman_2020 wrote:
| Aesthetically, still unmatched
| aenvoker wrote:
| Not on the VC path. Not even on the max-profit path. Just
| on the "Have fun doing cool research" path.
|
| I was a mod on MJ for its first few years and got to know
| MJ's founder through discussions there. He already had
| "enough" money for himself from his prior sale of Leap
| Motion to do whatever he wanted. And, he decided what he
| wanted was to do cool research with fun people. So, he
| started MJ. Now he has far more money than before and what
| he wants to do with it is to have more fun doing more cool
| research.
| echelon wrote:
| They're working on a few really lofty ideas:
|
| 1. real time world models for the "holodeck". It has to be
| fast, high quality, and inexpensive for lots of users. They
| started on this two years ago before "world model" hype was
| even a thing.
|
| 2. some kind of hardware to support this.
|
| David Holz talks about this on Twitter occasionally.
|
| Midjourney still has incredible revenue. It's still the
| best looking image model, even if it's hard to prompt,
| can't edit, and has artifacting. Every generation looks
| like it came out of a magazine, which is something the
| other leading commercial models lack.
| vunderba wrote:
| A lot of people started realizing that it didn't really
| matter how pretty the resulting image was if it completely
| failed to adhere to the prompt.
|
| Even something like Flux.1 Dev which can be run entirely
| locally and was released back in August of 2024 has
| significantly better prompt understanding.
| qingcharles wrote:
| They still have a niche. Their style references feature is
| their key differentiator now, but I find I can usually just
| drop some images of a MJ style into Gemini and get it to give
| me a text prompt that works just as well as MJ srefs.
| gamma-interface wrote:
| The pace of commoditization in image generation is wild. Every
| 3-4 months the SOTA shifts, and last quarter's breakthrough
| becomes a commodity API.
|
| What's interesting is that the bottleneck is no longer the
| model -- it's the person directing it. Knowing what to ask for
| and recognizing when the output is good enough matters more
| than which model you use. Same pattern we're seeing in code
| generation.
| SV_BubbleTime wrote:
| SOTA shifts, yes. But the average person doing the work has
| been very happy with SDXL based models. And that was released
| two years ago.
|
| The fight right now outside of API SOTA is who will replace
| SDXL to be the "community preference"
|
| It's now a three way between Flux2 Klein, Z-Image, and now
| Qwen2.
| echelon wrote:
| I'm happy the models are becoming commodity, but we still
| have a long way to go.
|
| I want the ability to lean into any image and tweak it like
| clay.
|
| I've been building open source software to orchestrate the
| frontier editing models (skip to halfway down), but it would
| be nice if the models were built around the software
| manipulation workflows:
|
| https://getartcraft.com/news/world-models-for-film
| sincerely wrote:
| PLEASE STOP POSTING AI GENERATED COMMENTS
| rc1 wrote:
| Isn't it still? Antidotally, I work with lots of creators who
| still prefer it because of its subjective qualities.
| skerit wrote:
| > 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/Qwe...
|
| What the actual fuck
| wongarsu wrote:
| 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.
| badhorseman wrote:
| The significance of the hemp-rope is that it is symbol of
| morning and loss of ones decedent.
| embedding-shape wrote:
| I like how sometimes I get angry at a LLM for not understanding
| what I meant, but then I realize that I just forgot to mention
| it in the context. It's fun to see the same thing happen in
| humans reading websites too, where they don't understand the
| context yet react with strong feelings anyways.
| cocodill wrote:
| interesting riding application picture
| rwmj wrote:
| "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 wrote:
| 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 wrote:
| Because every ML researcher is a viral social media expert.
|
| (I don't even know if I'm being sarcastic)
| viraptor wrote:
| 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.
| fguerraz wrote:
| I found the horse revenge-porn image at the end quite disturbing.
| embedding-shape wrote:
| 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 wrote:
| 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 wrote:
| > 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.
| chakintosh wrote:
| Is it related to "Mr Hands" ?
| blitzar wrote:
| Wont someone think of the horses.
| engcoach wrote:
| It's the year of the horse in their zodiac. The (translated)
| 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. """
| cubefox wrote:
| 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 wrote:
| when the horsey tranq hits
| wiether wrote:
| I use gen-AI to produce images daily, but honestly the
| infographics are 99% terrible.
|
| LinkedIn is filled with them now.
| smcleod wrote:
| To be fair it hasn't made LinkedIn any worse than it already
| was.
| nurettin wrote:
| To be fair, it is hard to make LinkedIn any worse.
| embedding-shape wrote:
| 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 wrote:
| 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.
| usefulposter wrote:
| Correct.
|
| Much like the pointless ASCII diagrams in GitHub readmes (big
| rectangle with bullet points flows to another...), the diagrams
| are cognitive slurry.
|
| See Gas Town for non-Qwen examples of how bad it can get:
|
| https://news.ycombinator.com/item?id=46746045
|
| (Not commenting on the other results of this model outside of
| diagramming.)
| viraptor wrote:
| > cognitive slurry
|
| Thank you for this phrase. I don't think that bad diagrams
| are limited to the AI in any way and this perfectly describes
| all "this didn't make things any clearer" cases.
| viraptor wrote:
| Informatics are as bad as the author allows though. There's few
| people who could make or even describe a good infographic, so
| that's what we see in the results too.
| mdrzn wrote:
| Infographics and full presentations are a NanoBananaPro
| exclusive so far.
| RationPhantoms wrote:
| You should see some of the work from their PaperBanana
| papers. Really solid.
| inanothertime wrote:
| 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 wrote:
| I have my own MIT licensed framework/UI:
| https://github.com/runvnc/mindroot. With Nano Banana via
| runvnc/googleimageedit
| guai888 wrote:
| ComfyUI is the best for stable diffusion
| embedding-shape wrote:
| 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 wrote:
| 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 wrote:
| 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 wrote:
| 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.
| eurekin wrote:
| Practically anybody actually creating with this class of models
| (diffusion based mostly) is using ComfyUI. Community takes care
| of quantization, repackaging into gguf (most popular) and even
| speed optimizing (lighting loras, layers skip). It's quite
| extensive
| sequence7 wrote:
| If you're on an AMD platform Lemonade (https://lemonade-
| server.ai/) added image generation in version 9.2
| (https://github.com/lemonade-sdk/lemonade/releases/tag/v9.2.0).
| vunderba wrote:
| I encourage everyone to at least try ComfyUI. It's come a long
| way in terms of user-friendliness particularly with all of the
| built-in Templates you can use.
| Eisenstein wrote:
| Koboldcpp has built in support for image models. Model search
| and download, one executable to run, UI, OpenAI API endpoint,
| llama.cpp endpoint, highly configurable. If you want to get up
| and running instantly, just pick a kcppt file and open that and
| it will download everything you need and load it for you.
|
| Engine:
|
| * https://github.com/LostRuins/koboldcpp/releases/latest/
|
| Kcppt files:
|
| * https://huggingface.co/koboldcpp/kcppt/tree/main
| SV_BubbleTime wrote:
| LMStudio is a low barrier to entry for LLMs, for sure. The
| lowest. Good software!
|
| Other people gave you the right answer, ComfyUI. I'll give you
| the more important why and how...
|
| There is a huge effort of people to do everything but Comfy
| because of its intimidating barrier. It's not that bad. Learn
| it once and be done. You won't have to keep learning UI of the
| week endlessly.
|
| The how, go to civitai. Find an image you like, drag and drop
| it into comfy. If it has a workflow attached, it will show you.
| Install any missing nodes they used. Click the loaders to point
| to your models instead of their models. Hit run and get the
| same or a similar image. You don't need to know what any of the
| things do yet.
|
| If for some reason that just does not work for you... Swarm UI,
| is a front end too comfy. You can change things and it will
| show you on the comfy side what they're doing. It's a gateway
| drug to learning comfy.
|
| EDIT: most important thing no one will tell you out right... DO
| NOT FOR ANY REASON try and skip the VENV or miniconda virtual
| environment when using comfy! You must make a new and clean
| setup. You will never get the right python, torch, diffusers,
| driver, on your system install.
| adammarples wrote:
| Stability matrix, it's a manager for models and uis and loras
| etc, very nice
| goga-piven wrote:
| Why is the only image featuring non-Asian men the one under the
| horse?
| andruby wrote:
| Is the problem the position/horse or that Qwen mostly shows
| asian people?
|
| Do western AI models mostly default to white people?
| goga-piven wrote:
| Well, what if some western models showcase white people in
| all good-looking images and the only embarrassing image
| features Asian people? wouldn't that be considered racism?
| embedding-shape wrote:
| > and the only embarrassing image
|
| Embarrassing image? I'm white, why would I be embarrassed
| over that image? It's a computer generated image with no
| real people in it, how could it be embarrassing for alive
| humans?
| z3dd wrote:
| they explicitly called for that in the prompt
| wtcactus wrote:
| But why? That image actually puzzled me. Does it have some
| background context? Some historical legend or something of
| the like?
| joeycodes wrote:
| 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..._
| goga-piven wrote:
| Exactly why did they choose this prompt with a white person
| and not an Asian person, as in all the other examples?
| singularfutur wrote:
| 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 wrote:
| Good that we have the arbitrator of what "real open source" is
| and isn't over here.
| yellowapple wrote:
| "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 wrote:
| Its one NGO trying to dictate what "open source" is and
| btw. according to that definition, Qwen isn't open source.
| yorwba wrote:
| 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.
| singularfutur wrote:
| fair enough, I read too quickly the article.
| vunderba wrote:
| That's not what they did with Qwen-Image v1 - they announced it
| and it was available via API, but then they released the
| weights a few weeks after with an Apache 2.0 license. Let's at
| least give them the benefit of the doubt here.
| sandbach wrote:
| 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).
| tianqi wrote:
| 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
| badhorseman wrote:
| 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.
| DustinEchoes wrote:
| 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 wrote:
| The message is "We watched Lord of the Rings and Game of
| Thrones and liked the medieval aesthetic enough to emulate
| it."
| badhorseman wrote:
| remind me of the bit of lord of the rings where muscular
| horses dominate European peasant men, as per the prompt
| translation.
| yorwba wrote:
| Yes, in those movies, the hot white guys (and sometimes
| girls) usually ride on top of the muscular horses. So
| when you want to show a horse riding a man as a visual
| gag, why not make the man a hot white guy with a gruff
| beard?
|
| You act as though they first decided to make an image
| representing Westerners and then chose that particular
| scene as an intentional insult, but you need to consider
| that they likely made thousands of test images, most of
| which were just playing around with the model's
| capabilities and not specifically crafted for the
| announcement post.
|
| So why did this one get picked? I think it boils down to
| the visual gag being funny and the movie-like quality.
| popalchemist wrote:
| Racial/cultural tension is part of the context in which
| this image is appearing. Not only because of historical
| tensions, but because this image appears as part of this
| generation's Manhattan Project style arms race toward AGI
| and global dominance. Your denial of that is a reflection
| of your own ignorance.
| yorwba wrote:
| There's also the "horse riding astronaut" challenge in image
| generation: https://garymarcus.substack.com/p/horse-rides-
| astronaut-redu...
| laughingcurve wrote:
| Gary Marcus is not the man to be looking to on this topic
| AlphaAndOmega0 wrote:
| Gary Marcus successfully predicted all ten of the one AI
| Winters.
|
| He also claimed that LLMs were a failure because of prompts
| that GPT 3.5 couldn't parse, _after_ the launch of
| GPT-4,which handled them with aplomb.
| yorwba wrote:
| Gary Marcus successfully wrote an article about getting
| image generation models to show a horse riding an
| astronaut, which is all I needed him to do. (Actually he
| wrote two, but this one felt more concise.) Take it as an
| existence proof, not an endorsement.
| observationist wrote:
| Just like a basilisk, if you never refer to him again, he
| fades away and doesn't bug people anymore. Let him fight
| through whatever he needs to if he ever bothers coming up
| with anything the rest of the world needs to hear; until
| then, we can enjoy the peace and quiet.
| Lerc wrote:
| On the topic of modern Chinese culture, Is there the same
| hostility towards AI generated Imagery in China as there seems
| to be in America?
|
| For example I think there would be a lot of businesses in the
| US that would be too afraid of backlash to use AI generated
| imagery for an itinerary like the one at https://qianwen-
| res.oss-accelerate-overseas.aliyuncs.com/Qwe...
| tianqi wrote:
| Since China has a population of 1.4 billion people with
| vastly differing levels of cognition, I find it difficult to
| claim I can summarize "modern Chinese culture". But within my
| range of observation, no. Chinese not only have no hostility
| toward AI but actively pursues and reveres it with fervor.
| They widely perceive AI as an advanced force, a new
| opportunity for everyone, a new avenue for making money, and
| a new chance to surpass others. At most, some of the
| consumers might associate businesses using AI generated
| content with a budget-conscious brand image, but not hostile.
| Lerc wrote:
| _> Since China has a population of 1.4 billion people with
| vastly differing levels of cognition, I find it difficult
| to claim I can summarize "modern Chinese culture"_
|
| Ha! An American would have no such qualms.
| idiotsecant wrote:
| Well, they would modify it slightly to claim " _real_
| American culture is... " In general, the range of 'real'
| America is about 300 miles, in my experience.
| yorwba wrote:
| There's definitely _some_ hostility:
| https://mp.weixin.qq.com/s/A5shO-6nZIXZvJUEzrx03Q
| yieldcrv wrote:
| > "Why did such a strange metaphor like _' the sound of an
| electrocardiogram machine moving paper'_ appear in this
| story that had nothing to do with medicine?"
|
| this is sending me, I don't know what's funnier, this
| translation being accurate or inaccurate
| vessenes wrote:
| Interesting background! Prompts like this also test the latent
| space of the image generator - it's usually the other way
| round, so if you see a man on top of a horse, you've got a less
| sophisticated embedding feeding the model. In this case,
| though, that's quite an image to put out to the interwebs. I
| looked to see what gender the horse was.
|
| EDIT: After reading the prompt translation, this was more just
| like a "year of the horse is going to nail white engineers in
| glorious rendered detail" sort of prompt. I don't know how
| SD1.5 would have rendered it, and I think I'll skip finding out
| cubefox wrote:
| While I don't doubt this was one influence, there was also an
| infamous problem with Dall-E 2, which was perfectly able to
| generate an astronaut riding a horse but completely unable to
| generate a horse riding an astronaut.
|
| This problem is infamous because it persisted (unlike other
| early problems, like creating the wrong number of fingers) for
| much more capable models, and the Qwen Image people are
| certainly very aware of this difficult test. Even Imagen 4
| Ultra, which might be the most advanced pure diffusion model
| without editing loop, fails at it.
|
| And obviously an astronaut is similar to a man, which connects
| this benchmark to the Chinese meme.
| bogzz wrote:
| Fun fact, the Serbian parliament building has two statues of
| horses riding men in front of it.
|
| Which is really apt because in Serbian "konj", or horse, is a
| colloquial word for moron. So, horses riding people is a
| perfect representation of the reality of the Serbian
| government.
|
| Another fun fact, the parliament building in HL2's City 17 was
| modelled from that building.
| rahimnathwani wrote:
| This is fascinating!
|
| From the article it seems the name is Ma Qi Ren , not Ma Qi Ren
| so the guy's name _sounds_ the same as 'horse riding man', but
| that's not a literal translation of his name.
| TacticalCoder wrote:
| Very interesting! What's weird though is that the chinese do
| not even pretend: every single picture has asian-looking people
| generated.
|
| But on the _one_ picture that honestly looks like a man getting
| ass-raped by a horse, it 's a white man.
|
| I mean even in the west where you can hardly see an ad with a
| white couple anymore, they don't go that far (at least not
| yet).
|
| White people are a minority on earth and anti-white racism sure
| seems to be alive and well (btw my family is of all the colors
| and we speak three languages at home, so don't even try me).
| popalchemist wrote:
| Super tone-deaf and inappropriate. Not realizing how it would
| read to the uninformed is a bad look. Myopic.
| engcoach wrote:
| 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 wrote:
| some context for the perplexed.
| https://live2makan.com/2024/08/07/treasures-statue-of-horse-...
| vunderba wrote:
| 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
|
| _Editing Comparison of Local Models:_
|
| 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 wrote:
| 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.
| liuliu wrote:
| Note that Qwen Image 1.0 (2512) wasted ~8B weights on
| timestep embedding. Both Z-Image / FLUX.2 series corrected
| that.
| vunderba wrote:
| Agreed! A lot of people were also using ZiT as a refiner
| downstream to help with some of the more problematic visual
| aspects of the original Qwen-Image.
|
| I'm really looking forward to running the unified model
| through its paces.
| SV_BubbleTime wrote:
| Something I am skeptical about Z-Image is that it uses
| Gemma which is imo a weak LLM.
|
| If I were to guess, I would say that Z-Image's life is
| shorter than it initially appeared. Even as a refiner which
| are just workarounds for model issues.
| wtcactus wrote:
| So, I've just gave it this prompt:
|
| _" Analyze this webpage:
| 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
| :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 wrote:
| My response to the horse image:
| https://i.postimg.cc/hG8nJ4cv/IMG-5289-copy.jpg
| ranger_danger wrote:
| When I tried Qwen-Image-2512 I could not even get it to spell
| correctly. And often the letters would be garbled anyways.
| thisisit wrote:
| I liked their comic panels example and tried it using their chat
| at: 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 wrote:
| 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
___________________________________________________________________
(page generated 2026-02-10 23:00 UTC)