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    Krea2 Turbo_FP8 - Krea 2 TURBO
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    Krea 2 OSS - Optimized FP8 Weights (Turbo)

    This repository provides an optimized FP8 (float8_e4m3fn) weight-only quantized version of the newly released Krea 2 OSS (Turbo) transformer.

    This optimization reduces the model size from the original 24.76 GiB (BF16) down to 12.01 GiB, making it highly accessible and runnable on standard consumer hardware (such as 16GB and 24GB GPUs) without sacrificing output quality.

    ⚠️ Licensing & Disclaimer

    • Original Model Creators: All credit goes to KREA.ai for the original research, architecture, and weights.

    • License: This model is subject to the KREA 2 License Agreement. Please read and comply with the official license terms before using these weights: KREA 2 Licensing Terms.

    • Purpose: This repository is a community-contributed utility. It does not claim ownership of the original model or architecture. Its sole purpose is to provide optimized, consumer-hardware-friendly weights for the open-source community.


    🛠️ Quantization Details (Quality-First FP8)

    Unlike generic global quantization scripts that aggressively convert every parameter (which often degrades generation details or introduces NaN/promotion calculation errors in neural networks), this model was quantized using a selective weight-only strategy:

    1. Targeted Quantization: Only 2D floating-point weight matrices (.weight keys with ndim >= 2 and element count > 1024) were quantized to torch.float8_e4m3fn.

    2. Preserved Precision:

      • All 1D vectors, biases, and normalization scales are kept in their native high-precision (float32 / bfloat16).

      • Highly sensitive projection/modulation layers (such as LastLayer.modulation.lin vectors) are completely preserved in high-precision. This prevents typical mathematical promotion bugs (such as BFloat16 and Float8 promotion issues in PyTorch) and retains original output fidelity.

    3. Weight Comparison:

      • Tensors Quantized to FP8: 266 tensors.

      • Tensors Kept in Native Precision: 166 tensors.

      • Size Reduction: 24.76 GiB ➔ 12.01 GiB (~51.5% VRAM / disk savings!).


        🚀 How to Use in ComfyUI (Native — 0.25.0+)

        ComfyUI 0.25.0+ has built-in Krea2 support. No custom nodes needed.
        Drop the workflow JSON into ComfyUI and drag it to the canvas.

        1. Download Required Files

        Place these in your ComfyUI/models/ folder:

        FileFolderSourcekrea2_turbo_fp8.safetensors/AlperKTS/Krea2_FP8 ← You are hereqwen3vl_4b_fp8_scaled.safetensorstext_encoders/Comfy-Org/Qwen3-VLqwen_image_vae.safetensorsvae/Comfy-Org/Qwen-Image_ComfyUI

        2. Load the Workflow

        Drag workflows/Krea 2 simple workflow.json onto your ComfyUI canvas.

        3. Queue & Generate!

        Turbo defaults: 8 steps, CFG 1.0, euler sampler, simple scheduler, 1280×720.


        🤝 Acknowledgements

        Special thanks to the KREA.ai team for releasing Krea 2 to the open-source community. For any commercial licensing inquiries or details about the model, please visit krea.ai.

    Description

    FAQ

    Comments (72)

    apo1s
    Author
    Jun 23, 2026· 8 reactions
    CivitAI
    ShadowCellJun 23, 2026
    CivitAI

    Loving it so far <3 Does a eclectic, wide range of strong, distinctive styles right out of the box.

    Captioning is also flawless from what I've tried.

    Character likeness is also very good with the base model (on nothing more than just a single character name; no description even).

    ping26Jun 23, 2026· 2 reactions
    CivitAI

    good at anime, i wish some NSFW lora for krea2

    smoonHackerJun 23, 2026· 1 reaction

    We need a fork of this one with fully NSFW capability XD

    apo1s
    Author
    Jun 23, 2026

    @smoonHacker It works very well with nsfw tho just try the prompts

    xhamsterJun 23, 2026· 3 reactions
    CivitAI

    it could be the next flagship model, still need a easy way to uncensor

    herkus_baronas631Jun 25, 2026

    It is uncensored. Watch this video, it shows how to get rid of restrictions. And the purest truth in that video - I tried it myself yesterday. I didn't try anything 'hardcore' because I'm not interested in it. But it produces the usual aesthetic 'nsfw' images perfectly.

    https://www.youtube.com/watch?v=QC1BcvRyp1A

    smoonHackerJun 23, 2026· 2 reactions
    CivitAI

    It's an interesting models that handles both realistic and anime pretty well with the correct prompt and direction. Details on clothes and structures have a good definition, patters are defined properly.

    apo1s
    Author
    Jun 23, 2026· 8 reactions
    CivitAI

    Guys the model is already uncensored make your prompt just detailed

    xhamsterJun 23, 2026

    some example please, it wont even gen woman with chest bigger than B cup

    ping26Jun 23, 2026

    nsfw content seems very deep and difficult to trigger successfully

    MrGhost_27Jun 23, 2026

    its a hit or miss with the uncensored stuff, just give it more prompt details and it should do it.

    demonkingoftyrannyJun 23, 2026

    Some words or phrases are definitively filtered.

    herkus_baronas631Jun 25, 2026

    @xhamster Add "conditioning krea2 rebalance" node and you should get chest bigger than head (if you want it). Simply connect this node from text encoder positive to ksampler positive. And with spicy images would not to be any problems. Not so deep, looks like in tuned models, but Krea2 work "out of box".

    xhamsterJun 27, 2026· 1 reaction

    @herkus_baronas631 nah that node is useless stop using it, it destroy the model

    herkus_baronas631Jun 28, 2026

    @xhamster This node working and nothing wrong. I today used Krea2 wf with this node. About example. Where i can load it? To civitai?

    ping26Jun 29, 2026

    @herkus_baronas631 but toooooo many nsfw lora, so dont use the rebalance node

    herkus_baronas631Jun 30, 2026

    @ping26 I no need 'hard style' loras. i need just some slender curvy womans, if making images with them. So for me is enough this node. Or one unlocked model for 'playboy' style images.

    weskeralbert80s598Jun 23, 2026· 18 reactions
    CivitAI

    This custom node removes the built-in Krea 2 safety filter. https://github.com/nova452/ComfyUI-ConditioningKrea2Rebalance

    ping26Jun 23, 2026

    the idea is right, but the params are strange

    xhamsterJun 23, 2026

    it does work but the output seems drop a lot of quality and strange coloring

    weskeralbert80s598Jun 23, 2026

    @xhamster Yes, I noticed that too, and I noticed that the texture of the skin feels more plastic.

    demonkingoftyrannyJun 23, 2026

    i agree it works but the quality drops and character knowledge also gets lesser.

    jakkoJun 23, 2026

    for me works perfect

    chaank2013585Jun 24, 2026

    How do you use it?

    weskeralbert80s598Jun 24, 2026

    @chaank2013585 Connect this node to the positive prompt node and output node in ksampler.

    olternautJun 23, 2026· 6 reactions
    CivitAI

    Does this model have enough potential to overtake z-image-turbo in the long run?

    smoonHackerJun 24, 2026

    Yes, maybe yes. The details are far away from Z-Image Capabilities.

    herkus_baronas631Jun 24, 2026· 4 reactions

    I think yes. "From the box" Krea2 for me give better results than Z image of Klein. I made maybe 15-20 images with Krea2 turbo and all results was good. For NSFW... Krea accidentally created such an image. And as far as I could see, Krea has been trained on the anatomy of the upper part of the female body. I wondered - is it possible that the text encoder simply does not pass the request to the model. I am not an expert, but maybe after applying the corrected text encoder, the model itself will not even need to be trained. I don't know, these are just observations. But I really liked the model. I would say its photorealism is much higher quality than Zimage or Klein.

    PS. This model handles text well. I tried English, Lithuanian and Russian texts. The model correctly represented both Lithuanian "žšąų" and Cyrillic. It even coped with bilingual text - Russian text on one line, Lithuanian on the other.

    ArtiOtakuJun 24, 2026· 5 reactions

    I'd say yes.. this is an 0.1 model, and it already rocks, we can just imagine what future versions will look like.

    MrGhost_27Jun 24, 2026· 3 reactions

    I'm a big Z fan but damn this is a good model and out the box its doing better things than what Z did at least for me. can't wait for things to come for it.

    herkus_baronas631Jun 25, 2026· 3 reactions

    @MrGhost_27 @MrGhost_27 I spent a couple of hours yesterday with Krea2. The results were pretty much what I wanted. No 3 arms, no 6 fingers. It did a lot of things better than other models with special Lora's.

    And if this is only version 0.1, what can we expect from version 1.0?

    olternautJun 25, 2026

    What about an IP-Adapter? z-image-turbo doesn't have an IP-Adapter or edit model right? It would be nice if Krea 2 did.

    l4y3rJun 26, 2026· 1 reaction

    @herkus_baronas631 yeah the text is quite incredible, at first I thought that I was just getting incredibly lucky

    aa43614100Jun 24, 2026
    CivitAI

    Any 8GB vram users here? Does this work?

    Zakman99Jun 24, 2026

    Yes

    SpaceghosttJun 24, 2026

    yup, works well

    Flawless even on a 6 GB RTX4050

    WillNottJun 25, 2026
    CivitAI

    It seems that this model has the same issue that Z-Image had when it first launched. All the generated images look very similar. Is anyone else experiencing this problem? How can it be fixed? (using ComfiUI template)

    Zakman99Jun 25, 2026· 4 reactions

    Hi! Unfortunately, the base model doesn’t shine in terms of variety—but that’s expected, since it’s meant to be a foundation. We’ll have to wait for users to release their own fine-tuned versions, though that won’t happen right away. Usually, the first or hastily made community versions end up worse than the base model—everyone’s rushing to be first, and many don’t care much about quality.

    In my opinion, it’s best to wait. This model has already proven itself superior to Z-Image in many aspects.

    demonkingoftyrannyJun 26, 2026· 2 reactions

    it is because of the turbo distillation, try the raw model and you see there is much more variety and dynamic lively poses. Turbo comes at a cost. https://huggingface.co/Comfy-Org/Krea-2/tree/main

    and yeah i find Krea2 much better than ZImage, QwenImage 2512, Flux.2 Klein 9B.

    WillNottJun 30, 2026

    I found this custom node. It work pretty well on a "Flux Preset" in Bold mode https://github.com/RamonGuthrie/ComfyUI-RBG-SmartSeedVariance

    aising23Jun 25, 2026
    CivitAI

    ER-SDE / Simple and noise 0.7-0.8 seems like a sweet spot for realism.
    Training LoRa on BF16 Raw without transformer quantization is pretty straightforward, and produces excellent results in Turbo FP8 generations.

    Titan_UranusJun 25, 2026· 3 reactions
    CivitAI

    does this work with Forge Neo?

    SilvicultorJun 26, 2026· 2 reactions

    Not (yet), but support is planned.

    SpaceghosttJun 29, 2026· 2 reactions

    It's supported now

    TheEventHorizonJun 27, 2026· 8 reactions
    CivitAI

    Where are the vae's, text encoder, and basic worflow?

    summilux2012236Jun 27, 2026

    Update ComfyUI. Open template, search "krea2", load workflow. If you get errors, copy the model names, Google them, download

    unbound_rider1Jun 28, 2026· 1 reaction
    CivitAI

    Is there any comparison with FP8 turbo by Comfy? Why do we need this custom version?

    gonfinal12Jun 29, 2026
    CivitAI

    so i must download this one, or the Huggin face one

    ferrrett33Jun 30, 2026· 24 reactions
    CivitAI

    Ok so what is this, there is already a Krea2 FP8 scaled from Hugging Face (ComfyUI) which is 13GB in size, this is 12GB. Author can't bother to write even a sentence of description. Sorry but this should be taken down for not even bothering to tell anyone what it is -- at best.

    DarkenDarkJul 15, 2026

    I guess the author tried to "aura farm"

    apo1s
    Author
    Jul 22, 2026

    To clarify: I quantized and shared this model right when Krea dropped their surprise release and everyone was grabbing it via torrent, long before it was officially uploaded to Hugging Face. My priority was to get the quantized version out to the community as fast as possible.

    The 12GB file is a different quantization format/precision compared to the 13GB version you mentioned.

    Next time, instead of asking for community-driven uploads to be taken down just because of a missing description, feel free to just ask or test it yourself.

    ferrrett33Jul 23, 2026

    @apo1s Ok thanks for clarifying but imagine you're the end user you have no idea who is who and which one you should get. So you must be the same person as AlperKTS but with a different name here and you're publishing the exact same thing here and on Hugging Face under different names. Do you think we just know that somehow, we don't.

    ranger89Jul 5, 2026
    CivitAI

    The model is quite good! It understands Prompt perfectly and generates quickly. You can skip LoRa if Prompt is very detailed.Good job!

    ShadowCellJul 19, 2026
    CivitAI

    https://civitai.red/posts/29905351

    I downloaded all the variants of Krea 2 for testing, & for some reason, this one consistently seems to produce rather soft images (soft skin especially); even in relation to Krea 2 Turbo Official Comfy-Org Checkpoints (Krea2) - krea2_turbo_nvfp4, which is rather odd. I do know some elements of Krea 2 are especially sensitive to quantisation, however.

    PS - The bug wasn't present on Forge Neo; only SwarmUI (using exact same prompt/checkpoint).

    xNzXJul 19, 2026

    What do you mean "soft skin", "soft images"? Give to us some examples.

    ShadowCellJul 21, 2026

    @xNzX https://civitai.red/posts/29905351 Smooth skin, smooth weapon texture (no scratches or detailing on it). Tried a bunch of completely different image prompts, scenes, schedulers, etc.... This FP8 version always came out looking less detailed/soft compared to all the others (which is odd given it was coming out worse than the nvfp4 version consistently).

    I have a large comparison of images when I tested (exact same seeds, etc), but I could only find exact same seed/prompt for nvfp4 & FP8 version right now (I'll need to sort them properly).

    xNzXJul 21, 2026

    Yes, on your example obviously seen difference - less detailes on skin and weapon. But I use exactly your prompt and settings (workflow included) - and result is the same good, as your other (good) versions of Krea 2 - https://civitai.red/posts/29910666/ Here is result with simple (standard) VAE decoder. In VAE upscaled - even more details (must have).
    So, something wrong with your file (??) Investigation needed. But I forgot where I download my file. May be from Huggingface? Or from here?
    Here is SHA256 of my file: 2d3523507c59df965e5d4ec9a1b9b4591297a50c058915c36fb29d124d30f64e
    Open cmd.exe from folder with file, then paste: CertUtil -hashfile krea2_turbo_fp8.safetensors SHA256

    xNzXJul 21, 2026
    ShadowCellJul 22, 2026

    @xNzX I no longer have the file in question, because I deleted it. But I think I downloaded mine from https://huggingface.co/AlperKTS/Krea2_FP8/tree/main. I use SwarmUI, & when I go into the checkpoints tab there, I have to manually update the metadata by connecting to civitai servers to import it. It auto-connects/linked to this page when it updated the metadata info though; so I assume the checksum is the same one as on this page for it to have done that.

    PS - whenever I want to go back to this page, or another checkpoint/LoRA; then I usually click the metadata link from the checkpoint file in SwarmUI to be sure it's the same thing (that's why I think the checksum would probably be the same).

    Also, in my personal checkpoint list; I have https://huggingface.co/AlperKTS/Krea2_FP8/tree/main with a strike line through it. I download so many LLMs, etc, that I keep a personal record (& a strike line means I already tried it, & thought it was poor quality). There's no link for this checkpoint page here on civitai on my list either.

    ShadowCellJul 22, 2026

    I was thorough in checking though; multiple different text encoders, with LoRAs/without any LoRAs, pretty much all the different settings (& starting a brand new session from scratch whilst manually entering the new settings, just to be absolutely sure). It was always lower quality across multiple different versions of SwarmUI though.

    apo1s
    Author
    Jul 22, 2026

    I by myself tested https://civitai.com/posts/29929202

    AlperKTS vs ComfyUI Scaled FP8

    ShadowCellJul 22, 2026

    @apo1s The plot thickens. Only obvious difference I can see is that I'm using SwarmUI. I ended up doing another new install for it again right around the time Krea 2 launched, so it was clean with no modding by that point either.

    PS - I changed my original comment to better reflect the issue is probably on my end.

    xNzXJul 22, 2026

    @apo1s Please test EXACTLY model from link from THIS page: krea2TurboFP8_krea2TURBO.safetensors
    And get SHA256 of that.
    You test - 'ComfyUI Scaled FP8'. It's different file. User ShadowCell report "_scaled" is good:
    krea2_turbo_int8_convrot <-- good

    krea2_turbo_fp8_scaled <---- good

    krea2_turbo_nvfp4 <---- good

    krea2_turbo_fp8 <----- BAD

    ShadowCellJul 22, 2026

    I also used these https://civitai.red/models/2775340/krea2-textfusion-refusal-reduction-lora?modelVersionId=3125118

    https://civitai.red/models/2731465/qwen3-vl-4b-abliterated-comfyui-krea-2-text-encoder-bf16-fp8?modelVersionId=3070870

    It's unlikely, but it's possible "beautiful" parsed as smooth, fashion shoot skin or something; but is also censored in the original krea 2 (it censors expressions, breast size, etc, & I noticed a lot of other silly things)....but I find it unlikely, as it didn't effect the other versions. A corruption during download is possible....but again very unlikely. The LoRA is only 26mb, so I'd maybe try an image gen with that & see what happens.

    Seems the problem is likely on my end though. I'm tired as hell, & off to bed, but I can see about downloading it again tomorrow (if it's any help).

    https://civitai.red/posts/29930049 https://civitai.red/images/137462988 There's another 2 images, taken maybe 2 weeks before the other ones, & with the LoRA removed (but just the the abliterated text encoder still in use....which I noticed didn't do much with the other versions, anyway).

    apo1s
    Author
    Jul 22, 2026

    @xNzX Its same model that i quantized

    SHA1 hash of krea2_turbo_fp8alper.safetensors: From huggingface

    944502f2adee0da2942bec96cc7c981c8b60ddf3

    SHA1 hash of krea2TurboFP8_krea2TURBO.safetensors: From that site

    944502f2adee0da2942bec96cc7c981c8b60ddf3



    https://civitai.red/posts/29930312

    I use comfyUI

    ShadowCellJul 22, 2026

    Ok, so it appears the issue has been narrowed down now. I have another Forge Neo install (which I also installed right around Krea 2 launch) to test performance differences. It re-directs to my SwarmUI resources folder to use the exact same files. & I have images I dropped in there with the same prompt I created.... & the images using Krea 2 FP8 in Forge Neo look fine (freckles on face, scratches on gun, etc; as good as I'd expect them to be).

    So it appears whatever caused it; was a bug in SwarmUI (which usually slightly trails behind updates for the Comyfi back-end).

    https://civitai.com/images/137507138 (Forge Neo version)

    Civitai doesn't auto-detect my resources for Forge, but I dropped the image into my Forge PNG info tab, & it shows them as same.

    The seed is different (so let me see if I have two the exact same; but the rest of the images in Forge appear fine, too, anyway.....). I'm looking through all my Forge Output images; & none of them have this issue.

    PS - if anyone else has SwarmUI, & could test the same image prompt to see if the same thing happens.... This should probably be reported as a bug.

    ferrrett33Jul 23, 2026
    CivitAI

    Comparing this to the FP8 by CivitAI official, this gives me an image in 30 seconds + 5 seconds if the text encoder is run (if prompt changes) while the CivitAI official 23 seconds + 5 seconds if the TE runs. They produce slightly different images with the same seed and quality is indistinguishable. This appears 20%+ slower on my GPU: 5070 mobile.

    Other results:

    int8 convrot (comfy official) - 17 seconds plus 5 for TE (almost twice as fast as this for the same quality)

    MXFP8 - 26 seconds plus 5 for TE. (probably not optimized properly as of yet so it falls between the two simple FP8s tested when it should be faster on my GPU)

    These will not be the same if you don't have a 5000 series card.

    At 1 MP all of them are indistinguishable in terms of quality. You could not tell which is which.