It's a good model sadly the use of the qwen vae is a bit of a downer.

mattnewton 4 hours ago | parent | next [-]

Krea 2 Large (on the website and api) was trained with the FLUX 2 VAE, if you want to test it out and push realism. After working with both I think the flux VAE has a slight edge in learning realistic textures but it's smaller than you might think, the Qwen VAE was overall very good in ablations and good at learning to produce a diverse set of styles.

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BoredPositron 4 hours ago | parent [-]

[flagged]

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dang 3 hours ago | parent | next [-]

> You can't be serious.

Please edit out swipes from your HN comments, as the guidelines request: https://news.ycombinator.com/newsguidelines.html.

Edit: your account has unfortunately been breaking the site guidelines like this in other places as well (e.g. https://news.ycombinator.com/item?id=48567675). Can you please fix this? I don't want to ban you, but we've already had to ask you this before.

	▲	BoredPositron 3 hours ago \| parent [-]
		Kill the account dang.

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mattnewton 3 hours ago | parent | prev [-]

Definitely encourage you to test the models. We tried to optimize for realistic focus and not over-sharpening, which leads to a "hyper" AI-look. It's hard to benchmark because people generally prefer sharp, saturated orangish pictures all else equal, but I believe these are bad shortcuts for the model to learn realism.

	▲	BoredPositron 3 hours ago \| parent [-]
		Is my taste the problem, or am I simply holding it wrong? The qwen VAE's shortcomings are well documented, and Krea 2 produces the same blurry, airbrushed output as qwen image. Between the chaotic release and every interaction I've had with your team, I've grown to genuinely dislike your platform/company. Good luck.

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mobiuscog 5 hours ago | parent | prev [-]

It's been mentioned by some that using the wan2.1 vae instead solves this. I haven't personally had time to try yet.

	▲	dvrp 3 hours ago \| parent [-]
		There is a lot of discourse about it on Reddit. Check the AMA link I put in the comment above for learning more. The basics is it wasn’t released when we started and we use it for internal models and hope to do further open source releases.