FLUX.1 Krea: post-trained text-to-image model from Black Forest Labs and Krea

github.com

9 points·dvrp··6 comments

Hello HackerNews. My name is Sangwu Lee . I work for Krea and I led the research efforts around the post-training for this model. I'll try to answer any questions you may have, but I recommend you read the technical report I wrote on our site (https://www.krea.ai/blog/flux-krea-open-source-release).

I also see that my colleagues already commented here, but I'll try to answer questions you may have.

The model looks incredible!

Regarding this part: > Since flux-dev-raw is a guidance distilled model, we devise a custom loss to finetune the model directly on a classifier-free guided distribution.

Could you go more into detail on the loss used for this and other possible tips for finetuning those? I remember the general open source ai art community had a hard time with finetuning the original distilled flux-dev so I'm very curious about that.

Best you comment on the bigger discussion (106 points, 41 comments) https://news.ycombinator.com/item?id=44745555

Relevant links:

- 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

- Black Forest Labs announcement: https://bfl.ai/announcements/flux-1-krea-dev

- Reddit discussion: https://www.reddit.com/r/StableDiffusion/comments/1me2l80/ne...

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

can you explain the TPO technique or perhaps point me to a reference please?

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