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Releasing weights for FLUX.1 Krea

submitted by vmatsi+(OP) on 2025-07-31 13:41:45 | 369 points 107 comments
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2. dvrp+P5[view] [source] 2025-07-31 14:17:56
>>vmatsi+(OP)
For Dang or HN-mods:

I noticed that the URL for this submission is wrong: I tried to submit the correct URL (https://www.krea.ai/blog/flux-krea-open-source-release) but, for some reason, the submission gets flagged as duplicated and then I can only find this item which has a URL to our old blog post.

In the mean time, I'll setup a server-side redirect from the old blog post to our new one, but it would be nice to fix the link and I don't think I can do it on my side.

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4. dang+Y11[view] [source] [discussion] 2025-07-31 20:02:09
>>dvrp+P5
It's because https://www.krea.ai/blog/flux-krea-open-source-release contains this:

  <link rel="canonical" href="https://www.krea.ai/blog/new-krea">
Our software follows canonical links when it finds them.

I've fixed the link above now (and rolled back the clock on the submission, to make up for lost time) but you might want to fix this for future pages.

6. viperm+o41[view] [source] 2025-07-31 20:17:09
>>vmatsi+(OP)
hey hn! I'm one of the founders at Krea.

we prepared a blogpost about how we trained FLUX Krea if you're interested in learning more: https://www.krea.ai/blog/flux-krea-open-source-release

15. dvrp+x91[view] [source] 2025-07-31 20:52:08
>>vmatsi+(OP)
Relevant links:

- GitHub repository: https://github.com/krea-ai/flux-krea

- Model Technical Report: https://www.krea.ai/blog/flux-krea-open-source-release

- Huggingface model card: https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev

22. Turing+lc1[view] [source] 2025-07-31 21:07:43
>>vmatsi+(OP)
I usually use https://github.com/axolotl-ai-cloud/axolotl on Lambda/Together for working with these types of models. Curious what others are using? What is the quickest way to get started? They mention Pre-training and Post-training but sadly didnt provide any reference starter scripts.
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25. dvrp+Xc1[view] [source] [discussion] 2025-07-31 21:10:51
>>Turing+lc1
We actually have a GitHub repository to help with inference code.

Check this out: https://github.com/krea-ai/flux-krea

Let me see if we can add more details on the blog post and thanks for the flag!

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26. dvrp+te1[view] [source] [discussion] 2025-07-31 21:18:24
>>sergio+oc1
Yup... We have the following: https://www.krea.ai/pricing

Though we wanted to keep this technical blogpost free from marketing fluff, but maybe we over-did it.

However, sometimes it's hard to give an exact price per image, as it depends on resolution, number of steps, whether a LoRA is being used or not, etc.

28. blueha+of1[view] [source] 2025-07-31 21:22:02
>>vmatsi+(OP)
Do you have an NVIDIA optimized version? Similar to how RTX accelerated FLUX.1 Kontext: https://blogs.nvidia.com/blog/rtx-ai-garage-flux-kontext-nim...
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42. dvrp+Yi1[view] [source] [discussion] 2025-07-31 21:48:48
>>Turing+di1
You can find details about the license here: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/mai...

In a nutshell, it follows the same license as BFL Flux-dev model.

69. Subicu+vC1[view] [source] 2025-08-01 00:33:20
>>vmatsi+(OP)
I've never gotten one to make what I am thinking of: A Galton board. At the top, several inches apart are two holes from which balls drop. One drops blue balls, the other red balls. They form a merged distribution below in columns, demonstrating dual overlapping normal distributions

Imagine one of these: https://imgur.com/a/DiAOTzJ but with two spouts at the top dropping different colored balls

Its attempts: https://imgur.com/undefined https://imgur.com/a/uecXDzI

76. vunder+NR1[view] [source] 2025-08-01 03:25:15
>>vmatsi+(OP)
Nice release. Ran some preliminary tests using the 12b Txt2Img Krea model. Its biggest wins seems to be raw speed (and possibly realism) but perhaps unsurprisingly did not score any higher on the leaderboard for prompt adherence than the normal Flux.1D model.

https://genai-showdown.specr.net

On another note, there seem to be some indication that Wan 2.2+ future models might end up becoming significant players in the T2I space though you'll probably need a metric ton of LoRAs to cover some of the lack of image diversity.

85. little+V62[view] [source] 2025-08-01 06:43:44
>>vmatsi+(OP)
I saw this comparison on reddit[1] between Wan2.2 and FLUX.1 Krea and it doesn't look like Krea is successful at avoiding the “AI look”, whereas Wan succeed brilliantly.

[1]: https://www.reddit.com/r/StableDiffusion/comments/1mec2dw/te...

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89. iyn+Dh2[view] [source] [discussion] 2025-08-01 08:38:44
>>dragon+eG1
Wiki article on bfloat16 for reference, since it was new to me: https://en.wikipedia.org/wiki/Bfloat16_floating-point_format
93. Wester+Dn3[view] [source] 2025-08-01 15:47:44
>>vmatsi+(OP)
uv not working no clicking no torch

and

Cannot access gated repo for url https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev/res.... Access to model black-forest-labs/FLUX.1-Krea-dev is restricted. You must have access to it and be authenticated to access it. Please log in.

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