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FLUX.2: Frontier Visual Intelligence

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Re: FLUX.2: Frontier Visual Intelligence

#121

Post by vunderba »

arresin wrote: post #109
vunderba wrote: post #43

Updating the GenAI comparison website is starting to feel a bit Sisyphean with all the new models coming out lately, but the results are in for the Flux 2 Pro Editing model! https://genai-showdown.specr.net/image-editing It scored slightly higher than BFL's Kontext model, coming in around the middle of the pack at 6 / 12 points. I’ll also be introducing an additional numerical metric soon, so we can add more nuance t…

Hey I hope you see this. The scoring needs to be a 0-10 or something with a range rather than pass or fail. Flux one getting the same score for the surfer as Gemini pro 3 reduces the quality of the benchmark.

Hi bn-l, yeah as mentioned above and in the Release Notes - we'll be adding a more nuanced numerical score in the next week.

I don't know if I'm going to get as granular as 1-10 only because the finer the scoring - the more potential for subjectivity. That's why it was initially set up as a "Minimum Passing Criteria Rule Set" along with a Pass/Fail grade.

A suggestion from a previous HN post was something along the lines of (0 Fail, 0.5 Technical Pass, 1.0 Proficient Pass).

Re: FLUX.2: Frontier Visual Intelligence

#123

Post by raxxorraxor »

spunker540 wrote: post #108
raxxorraxor wrote: post #102

Earlier quoted context omitted.

I think the margin isn't that large to be honest. If we compare available resources and data it is quite tiny and perhaps should be larger. Also it doesn't feel solved to me at all. There is no general model, perhaps it cannot reasonably exist. I think these tests are benchmarks are smart, but they don't show the whole picture. Domain specific image generation tasks still require a domain specific models. For art pur…

Does SD1.5 suffer from resolution / coherence / complexity issues? I understand most outputs could be fine tuned for most domains, but still felt sd1.5 had a resolution ceiling, and a complexity ceiling no matter how good the fine tuning

Yes, the toolchains around it can alleviate it, but only to a degree. You more or less dependent on a fine tune specifically trained for the things you want. But if you have that, the image quality is usually far better than from any generic model in my opinion, aside from resolution.

Merging any or all concepts is mostly beyond it, but I haven't seen any model being good at it yet. There are some that are significantly better, but often come with other disadvantages.

Overall what these models can do is quite impressive. But if you want a really high quality image, finding the fitting model is as difficult as finding the right prompt. And the general models tend to always fall back to some mean AI standard image.

Re: FLUX.2: Frontier Visual Intelligence

#124

Post by xnx »

vunderba wrote: post #43

Updating the GenAI comparison website is starting to feel a bit Sisyphean with all the new models coming out lately, but the results are in for the Flux 2 Pro Editing model! https://genai-showdown.specr.net/image-editing It scored slightly higher than BFL's Kontext model, coming in around the middle of the pack at 6 / 12 points. I’ll also be introducing an additional numerical metric soon, so we can add more nuance t…

> starting to feel a bit Sisyphean with all the new models coming out lately

You jinxed yourself: https://huggingface.co/Tongyi-MAI/Z-Image-Turbo

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