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[return to "Releasing weights for FLUX.1 Krea"]
1. 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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2. dvrp+Xc1[view] [source] 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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3. Turing+2i1[view] [source] 2025-07-31 21:42:03
>>dvrp+Xc1
Thanks! Yes, the inference is pretty straightforward, but the real opportunity IMHO is the custom pre-training and post-training opportunities given the open weights.
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