4 ms·

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

9 points by dvrp 1y ago

vipermu 1y ago
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 https://www.krea.ai/blog/flux-krea-open-source-release
dvrp 1y ago
Relevant links: - Model Technical Report: https://www.krea.ai/blog/flux-krea-open-source-release https://www.krea.ai/blog/flux-krea-open-source-release - Huggingface model card: https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev - Black Forest Labs announcement: https://bfl.ai/announcements/flux-1-krea-dev https://bfl.ai/announcements/flux-1-krea-dev - Reddit discussion: https://www.reddit.com/r/StableDiffusion/comments/1me2l80/new_flux_model_from_black_forest_labs_flux1kreadev/ https://www.reddit.com/r/StableDiffusion/comments/1me2l80/ne...
sangwulee 1y ago
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 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.
- oompty 1y ago
  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.
- gnabgib 1y ago
  Best you comment on the bigger discussion (106 points, 41 comments) https://news.ycombinator.com/item?id=44745555 https://news.ycombinator.com/item?id=44745555
ehsanakhgari 1y ago
can you explain the TPO technique or perhaps point me to a reference please?

9 points by dvrp 1y ago

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

dvrp 1y ago

Relevant links: - Model Technical Report: https://www.krea.ai/blog/flux-krea-open-source-release https://www.krea.ai/blog/flux-krea-open-source-release - Huggingface model card: https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev - Black Forest Labs announcement: https://bfl.ai/announcements/flux-1-krea-dev https://bfl.ai/announcements/flux-1-krea-dev - Reddit discussion: https://www.reddit.com/r/StableDiffusion/comments/1me2l80/new_flux_model_from_black_forest_labs_flux1kreadev/ https://www.reddit.com/r/StableDiffusion/comments/1me2l80/ne...

sangwulee 1y ago

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 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.

oompty 1y ago
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.
gnabgib 1y ago
Best you comment on the bigger discussion (106 points, 41 comments) https://news.ycombinator.com/item?id=44745555 https://news.ycombinator.com/item?id=44745555

ehsanakhgari 1y ago

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