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sangwulee

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Joined
Wed, Jul 02, 2025, 8:12 AM UTC
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13 items

About sangwulee

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Recent public activity

  1. comment
    Comment #48661917

    A lot of coffee for sure. Regarding the training cost, it's hard to give a good estimate because we used a shared kubernetes cluster with inference + research workloads.

  2. comment
    Comment #44751668

    The highest quality finetuning data was hand curated internally. I would say our post training pipeline is quite similar to SeedDream 2.0 ~ 3.0 series from ByteDance. Similar to th…

  3. comment
    Comment #44751624

    I actually tried a few experiments in early exploration stages! I trained a small classifier to judge AI vs non-AI images. Use it as a reward model to do small RL / post training e…

  4. comment
    Comment #44751325

    The architecture is the same so we found that some LoRAs work out-of-the box, but some LoRAs don't. In those cases, I would expect people to re-run their LoRA finetuning with the t…

  5. comment
    Comment #44750498

    We used two types of datasets for post-training. Supervised finetuning data and preference data used for RLHF stage. You can actually use less than < 1M samples to significantly bo…

  6. comment
    Comment #44750448

    We have not added a separate RTX accelerated version for FLUX.1 Krea, but the model is fully compatible with existing FLUX.1 dev codebase. I don't think we made a separate onnx exp…

  7. comment
    Comment #44750403

    FLUX.1 is one of the most popular open weights text-to-image models. We distilled Krea-1 to FLUX.1 [dev] model so that the community can adopt it seamlessly into existing ecosystem…

  8. comment
    Comment #44750079

    Quick napkin math assuming bfloat16 format : 1B * 16 bits = 16B bits = 2GB. Since it's a 12B parameter model, you get around ~24GB. Downcasting to bfloat16 from float32 comes with …

  9. comment
    Comment #44749918

    I love owls. Photorealism was one of the focus areas for training because "AI look" (e.g. plastic skin) was biggest complaint for FLUX.1 model series. Photorealism was achieved wit…

  10. comment
    Comment #44749849

    Thank you! Glad you find it helpful. The model is focused on photorealism so it should be able to generate most realistic scenes. Although, I think using 3D engines would be more s…

  11. comment
    Comment #44748228

    Hi there, I'm Sangwu Lee, one of the researchers behind this model. I'm happy to answer any questions here. --- I also commented in this other submission: https://news.ycombinator.…

  12. comment
    Comment #44748201

    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…

  13. comment
    Comment #44746421

    Hi! I'm lead researcher on Krea-1. FLUX.1 Krea is a 12B rectified flow model distilled from Krea-1, designed to be compatible with FLUX architecture. Happy to answer any technical …