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Krea2 was released because the open model was an interims model. The hosted krea2 used the flux2 vae and open weights qwen1.

by dmos6252 minutes ago|

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I've seen a graphical designer struggle to use an analogous product. They tried prompts like "remove background from this photo of dancers, don't change their face": the model couldn't do it: it always changed the faces at least a bit. In other words, the model was not removing the background, instead it was generating the whole picture anew, but without the background, which not only seemed inefficient, but was also way too lossy.

I wonder if this model could finish that task.

by coolius35 minutes ago|

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I wonder if your friend would have been more successful by removing "don't change their face" from the prompt

by razster3 minutes ago|

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[dead]

by lytfyre4 hours ago|

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Just a heads up, the trial period the email you send out for new signups seems to be broken - which is making trying this out hard.

your email:

>I just unlocked a personal discount of 40% on your account, and switched Pro on for the next 3 hours so you can use it before you decide. It unlocks you all premium features as well as: ∞ No credit ceiling

But after using doing one round of three images with the beta, it won't let me generate another example. Trying to put a handful of tests through to compare to what we get from our current system on top of nano bannana pro.

by dvrp2 hours ago|

See: https://x.com/asciidiego/status/2110846676139221376?s=20

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EDIT: Our engineering staff realized you can play games with Krea 3. Or like they like to call it “the most expensive game engine in the world”

by CuriouslyC6 hours ago|

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As a Krea2 local model enjoyer, your challenge is that on the $20 GPT plan you get a fairly good amount of Codex use and image gen. If I used Krea, it would be because I fine tuned/built a workflow on top of it to do something GPT image couldn't/wouldn't do. Maybe there's a market for the cheapest "good enough" bulk image gen model (spam? idk what the applications would be), but personally I'd say you should focus on workflow add-ons/one click fine tuning/etc that design companies can use to create assets with their custom "look" since the GPT-Image look will become blase from overuse.

by dvrp6 hours ago|

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Businesses need more than just cost per image than a raw ChatGPT subscription doesn’t give you.

There’s also workflows around non-frontier models that make sense, especially at-scale (think internationalization of a marketing campaign to 200 countries across different media formats). A lot of the same rules that apply to LLMs apply to diffusion. The same argument could be made around Codex/Astra/Sol and many people are happily paying for tools like Devin/Cognition.

But I agree with you that if you are not careful, the subsidies from big labs can eat your business.

EDIT: I hope you’re enjoying Krea 2! What GPU are you running it on?

by trentor3 hours ago|

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I think the early models distorted the perception of what artists actually need. It's not about workflows. Image creation is inherently iterative. None of the platforms seem to understand that, while AI artists have somehow fallen in love with the unnecessary complexity of node-based tools. Apparently, 400 tangled noodles look impressive when the boss peers over your shoulder.

The big studios and agencies are all building custom tooling as they always have but now a lot faster.

by E-Reverance5 hours ago|

Ex. https://optim-images.krea.ai/https---s-krea-ai-k3-presets-20...

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Why do all the "frontier" models still occasionally output images with the horrible ai texture tells? I'm surprised whoever made the front page let those ones in lol. My hypothesis is that it is either an unpatching or feature loss shortcut/artifact. Until then I have no hopes of ai generated images being viable for anything actually beautiful or creative

by vunderba7 hours ago|

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Nice release! The 12B open-weight Krea 2 scored pretty well in my GenAI benchmark [1] on txt2img (6 out of 15) when I tested it back in June, so I’m looking forward to putting Krea 3 through its paces.

While Krea 2 was principally a text-to-image model, it seems like Krea 3 might be flipping that around? When I tried the beta a few minutes ago, I noticed a warning message saying that text-to-image was experimental at this point. Is the plan still to treat text-to-image as a first-class citizen, or is Krea 3 going to be more focused on being an editing model?

[1] - https://genai-showdown.specr.net?models=local

by mattnewton7 hours ago|

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The honest answer is that the team is pretty happy with the text to image of Krea 2 and our team prioritized editing which was the big gap in the previous model’s capabilities.

We know users are used to using one model for everything though and have already turned our attention to the text to image side; that message is to let people know that the text to image performance is not final, we expect the final tuning of Krea 3 to beat Krea 2’s high bar there soon.

by vunderba7 hours ago|

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> The honest answer is that the team is pretty happy with the text to image of Krea 2 and our team prioritized editing which was the big gap in the previous model’s capabilities.

I definitely agree. Part of my benchmark includes a "compliance score" which is effectively how easy it is to steer the model and Krea 2 ranks among the highest of the local models.

> We know users are used to using one model for everything though and have already turned our attention to the text to image side

Thanks for the answer. It definitely seems like open-weight unified models are becoming much more popular (Qwen-Image 2.1, Ming 0.1, upcoming Ideogram 4.5, etc).

Looking forward to it!

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(for context, matthew worked first hand on the development of krea 3!)

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We will still treat t2i as first-class citizen too, but our initial work focused on edit because SO MANY people exclusively did editing, rather than “vanilla” generation.

But we’re opening the beta now (after polishing the initial jagged edges in a private beta rollout), to find even more edges now, but at least now the frontier-level capabilities and new capabilities should be available for people to get a great experience.

Do you have a workspace in Krea? I’m happy to put some API credits for you to test Krea 3.

by vunderba7 hours ago|

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Hi dvrp - Appreciate the answer definitely glad to hear it. I split my time pretty evenly between text-to-image and image-to-image, so seeing another unified model is exciting!

I didn't (but I do now) have an account on Krea since I run most of my benchmarks through a bespoke suite of tools via APIs like OpenRouter and Fal.AI, but I appreciate the generosity! I'll reach out to you via your profile~

by jcelerier7 hours ago|

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I'd like to look into adding it to https://github.com/jcelerier/librediffusion for real time inference using tensorrt, do you think it's worth trying?

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We’ve tried a lot of inference techniques but we’re not a real-time level yet (and believe us, we’ve done real time models!).

We’d like to open-source it soon (it’s just that it’s another can of worms - that we already went thru for Krea 2), precisely for people to try things like this. The Krea 2 community efforts have been incredible to watch from the inside.

Once Krea 3 is open, you should def try!

by georgemcbay7 hours ago|

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> but at a fraction of the speed and a fraction of the price

"at a fraction of the speed" is generally understood to mean that it is much slower, but I don't think that is what you are intending to say (considering the title and website claim it is multiple times faster)?

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oops. great catch. fixing rn!

by ThrowawayTestr4 hours ago|

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I love krea 2, thank you for all your hard work!

by podgorniy4 hours ago|