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▲ dvrp 4 hours ago

Hello HN,

This is Diego from Krea. Today we are announcing the open beta of Krea 3, our newest foundational image model.

In a nutshell, it’s a frontier image model in terms of quality, but at a fraction of the speed and a fraction of the price.

We will be releasing a more technical update, like we did with Krea 2 (https://www.krea.ai/blog/krea-2-technical-report), but this website shows the capabilities we focused on:

* Native regional edits

* Precise edits so that there is minimal area degradation pixel-wise

* Frontier image quality. Benchmarks still being worked on, but in our internal evals it seems a no-brainer replacement to NBP or GPT Image, both speed and cost-wise.

* Faster edits (AFAICK, this should unlock a pareto frontier for speed in frontier edit models).

In terms of future updates, the team is thinking about letting folks fine-tune Krea 3 (via LoRAs) and open-weights, but we’re still in the middle of launch hiccups and then we’ll revisit the next iterations.

Thanks!

▲enzyme1234 3 hours ago | parent | next [-]

Does this mean "thinking about" open weights in the sense of remaining work to do before releasing them, or is it whether to release them at all? hopefully it's the former, Krea2 was awesome because it was open

▲trentor 7 minutes ago | parent [-]

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

▲lytfyre 2 hours ago | parent | prev | next [-]

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.

▲E-Reverance 3 hours ago | parent | prev | next [-]

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

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

▲CuriouslyC 3 hours ago | parent | prev | next [-]

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.

▲dvrp 3 hours ago | parent [-]

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?

▲vunderba 4 hours ago | parent | prev | next [-]

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

▲mattnewton 4 hours ago | parent | next [-]

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.

▲vunderba 4 hours ago | parent | next [-]

> 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!

▲dvrp 4 hours ago | parent | prev [-]

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

▲dvrp 4 hours ago | parent | prev [-]

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.

▲vunderba 4 hours ago | parent | next [-]

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~

▲jcelerier 4 hours ago | parent | prev [-]

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?

▲dvrp 4 hours ago | parent [-]

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!

▲ThrowawayTestr 39 minutes ago | parent | prev | next [-]

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

▲georgemcbay 4 hours ago | parent | prev | next [-]

> 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)?

▲dvrp 4 hours ago | parent [-]

oops. great catch. fixing rn!

▲podgorniy an hour ago | parent | prev [-]

megacool stuff