6 ms·
Not sure why this isn’t a bigger deal —- it seems like this is the first open-source model to beat gpt-image-1 in all respects while also beating Flux Kontext i
by rushingcreek 1y ago
Not sure why this isn’t a bigger deal —- it seems like this is the first open-source model to beat gpt-image-1 in all respects while also beating Flux Kontext in terms of editing ability. This seems huge.
- zamadatix 1y agoIt's only been a few hours and the demo is constantly erroring out, people need more time to actually play with it before getting excited. Some quantized GGUFs + various comfy workflows will also likely be a big factor for this one since people will want to run it locally but it's pretty large compared to other models. Funnily enough, the main comparison to draw might be between Alibaba and Alibaba. I.e. using Wan 2.2 for image generation has been an extremely popular choice, so most will want to know how big a leap Qwen-Image is from that rather than Flux. The best time to judge how good a new image model actually is seems to be about a week from launch. That's when enough pieces have fallen into place that people have had a chance to really mess with it and come out with 3rd party pros/cons of the models. Looking hopeful for this one though!
- rushingcreek 1y agoI spun up an H100 on Voltage Park to give it a try in an isolated environment. It's really, really good. The only area where it seems less strong than gpt-image-1 is in generating images of UI (e.g. make me a landing page for Product Hunt in the style of Studio Ghibli), but other than that, I am impressed.
- hleszek 1y agoIt's not clear from their page but the editing model is not released yet: https://github.com/QwenLM/Qwen-Image/issues/3#issuecomment-3151573614 https://github.com/QwenLM/Qwen-Image/issues/3#issuecomment-3...
- tetraodonpuffer 1y agoI think the fact that, as far as I understand, it takes 40GB of VRAM to run, is probably dampening some of the enthusiasm. As an aside, I am not sure why for LLM models the technology to spread among multiple cards is quite mature, while for image models, despite also using GGUFs, this has not been the case. Maybe as image models become bigger there will be more of a push to implement it.
- TacticalCoder 1y ago> I think the fact that, as far as I understand, it takes 40GB of VRAM to run, is probably dampening some of the enthusiasm. 40 GB of VRAM? So two GPU with 24 GB each? That's pretty reasonable compared to the kind of machine to run the latest Qwen coder (which btw are close to SOTA: they do also beat proprietary models on several benchmarks).
- cellis 1y agoA 3090 + 2xTitanXP? technically i have 48, but i don't think you can "split it" over multiple cards. At least with Flux, it would OOM the Titans and allocate the full 3090
- Auracle 1y agoYou can’t split image models over 2 GPUs like you can LLMs.
- BoredPositron 1y agoThey also released an inference server for their models. Wan and qwen-image can be split without problems. https://github.com/modelscope/DiffSynth-Engine https://github.com/modelscope/DiffSynth-Engine
- Auracle 1y agoUnless I missed something just from skimming their tutorial it looks like they can do parallelism to speed things up with some models, not actually split the model (apart from the usual chunk offloading techniques).
- cma 1y agoIf 40GB you can lightly quantize and fit it on a 5090.
- Auracle 1y ago
- jug 1y agoI think it does way more than gpt-image-1 too? Besides style transfer, object additions and removals, text editing, manipulation of human poses, it also supports object detection, semantic segmentation, depth/edge estimation, super-resolution and novel view synthesis (NVS) i.e. synthesizing new perspectives from a base image. It’s quite a smorgasbord! Early results indicate to me that gpt-image-1 has a bit better sharpness and clarity but I’m honestly not sure if OpenAI doesn’t simply do some basic unsharp mask or something as a post-processing step? I’ve always felt suspicious about that, because the sharpness seems oddly uniform even in out-of-focus areas? And sometimes a bit much, even. Otherwise, yeah this one looks about as good. Which is impressive! I thought OpenAI had a lead here from their unique image generation solution that’d last them this year at least. Oh, and Flux Krea has lasted four days since announcement! In case this one is truly similar in quality to gpt-image-1.
- jacooper 1y agoNot to mention, flux models are for non-commercial use only.
- doctorpangloss 1y agothe license for flux models is $1,000/mo, hardly an obstacle to any serious commercial usage
- liuliu 1y agoPer 100k image. And it is additionally $0.01 per image. Considering H100 is $1.5 per hour and you can get 1 image per 5s, we are talking about bare-metal cost of ~$0.002 per image + $0.01 license cost.
- Mtinie 1y agoThe pricing seems reasonable for a SOTA class model that needs to be commercially viable or it dies.
- minimaxir 1y agoWith the notable exception of gpt-image-1, discussion about AI image generation has become much less popular. I suspect it's a function of a) AI discourse being dominated by AI agents/vibe coding and b) the increasing social stigma of AI image generation. Flux Kontext was a gamechanger release for image editing and it can do some absurd things, but it's still relatively unknown. Qwen-Image, with its more permissive license, could lead to much more innovation once the editing model is released.
- doctorpangloss 1y agogpt-image-1 is the League of Legends of image generation. It is a tool in front of like 30 million DAUs...
- ACCount36 1y agoSocial stigma? Only if you listen to mentally ill Twitter users. It's more that the novelty just wore off. Mainstream image generation in online services is "good enough" for most casual users - and power users are few, and already knee deep in custom workflows. They aren't about to switch to the shiny new thing unless they see a lot of benefits to it.
- ants_everywhere 1y agoThere's no social stigma to using AI image generation. There is what's probably better described as a bullying campaign. People tried the same thing when synthesizers and cameras were invented. But nobody takes it seriously unless you're already in the angry person fandom. In practice AI image generation is ubiquitous at this point. AI image editing is also built into all major phones.
- torginus 1y agoThere absolutely is - everytime someone uses an AI image in a presentation slide, or in an article to illustrate the point, everybody just rolls their eyes - in my opinion a stock photo or even nothing is preferable to a low effort AI image.
- deleted 1y ago[deleted]
- toisanji 1y agohow can it beat gpt-image-1 if there is no image editor?
- dewarrn1 1y agoSlightly hyperbolic, gpt-image-1 is better on at least a couple of the text metrics.
- vunderba 1y agoI've been playing around with it for the past hour. It's really good but from my preliminary testing it definitely falls short of gpt-image-1 (or even Imagen 3/4) where reasonably complex strict prompt adherence is concerned. Scored around ~50% where gpt-image-1 scored ~75%. Couldn't handle the maze, Schrödinger's equation, etc. https://genai-showdown.specr.net https://genai-showdown.specr.net
- supermatt 1y agoIs it fair to call the OpenAI octopus “real”?
- bavell 1y agoFantastic comparisons! Great to see the limitations of the latest models.
- xarope 1y agointeresting to see how many still can't handle the nine pointed star correctly
- nilsherzig 1y agoGreat work, thanks. Midjourneys images are the only ones which don’t make me uncomfortable (most of the time), hopefully they can fix their prompt adherence.
- 1y ago
- blueboo 1y agoDo try it. The image quality and diversity is pretty shocking and not in a good way.
- deleted 1y ago[deleted]
- SV_BubbleTime 1y agoConsidering they have not released their image, editor weights, I’m not sure how you could make a conclusion that it is better than Flux Kontext aside from the graphs they put out. But, obviously you wouldn’t do that. Right? Did you look at the scaling on their graphs?
- rapamycin 1y agoIt’s either a shill or just an ai bot
- rapamycin 1y agoHave you tried the image editing?