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    Krea 2 - DC Fantastical Collection SSR Merge - v1.0 (LoRA)
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    Krea 2 - DC Fantastical Collection SSR Merge

    This is a SSR merge from many LoRAs from @dkpc69 , credits to him for training such awesome models.

    Here is the list of the LoRAs merged:

    • DC Aetherion Forge

    • DC Ancient Futurism Style 1

    • DC Celestial Dynasty

    • DC Dark Fantasy Style 1

    • DC Dark Fantasy Style 2

    • DC Dark Fantasy Style 3

    • DC Dark Fantasy Style 5

    • DC Dark Fantasy Style 6

    • DC Grim Dark Style 1

    • DC Obsidian Monochrome

    • DC Synthetic Anime

    • DC Vast Expanse

    • DC Vintage Surreal Fantasy Anime

    • DC Vivid Dark Fantasy Painting

    • DC_Fractured_Anime

    • DC_Liminal_Dreamcore

    • DC_Retro_Biomech

    • DC_SCI-FI

    When merged, this is a rank 608 LoRA, so this is quite a huge model! There are many, many concepts embedded in this one, so you will need to experiment and take inspiration from the original LoRAs. This model is excellent at merging all the different styles together, acting sort of like a small checkpoint!

    Description

    Initial version

    FAQ

    Comments (13)

    dkpc69Oct 2, 2026· 1 reaction
    CivitAI

    Awesome work mate did not realise this was possible mixing all these concepts looks good though, Thanks for the mention too

    UnicomOct 2, 2026
    CivitAI

    The rank is too high to use this. Krea2 is already a large model. Why not lower the rank to a manageable size, like 1 GB?

    WhyNaNWhenNyan
    Author
    Oct 2, 2026

    The SSR merging technique works like that, there's not much to do about it. It fits on my 12GB GPU, what hardware are you using?

    UnicomOct 2, 2026

    @WhyNaNWhenNyan I use a Mac Mini with 16GB of unified memory. A LoRA of that size would definitely have a severe impact on performance. I know that many people using Krea2 also use the highest quantization levels available to them; consequently, there simply wouldn't be room in memory for that extra 4GB.

    If that is how the merging technology works, it might be possible to lower the rank of the already merged LoRA. Alternatively, one could merge it with the base Krea2 model and extract a differential LoRA of various required ranks from it. I would look into this myself, but I work exclusively with quantized base Krea2, and I would suffer a significant loss in accuracy at that stage alone.

    WhyNaNWhenNyan
    Author
    Oct 2, 2026· 1 reaction

    @Unicom You can reduce the rank with SVD, but you will lose quality.

    WhyNaNWhenNyan
    Author
    Oct 2, 2026· 1 reaction

    The only good solution is to make this merged into a checkpoint.

    WhyNaNWhenNyan
    Author
    Oct 4, 2026

    I've developed this node for comfyui:
    https://github.com/frutiemax92/ComfyUI-LoRA-SSR/tree/master

    You should be able to use it with your system.

    UnicomOct 4, 2026

    @WhyNaNWhenNyan I dont use comfy at all. Sorry. This thing is extremely inconvenient and not optimized for Apple Silicon. On MacOS / iOS for image generation better to use DrawThings App

    N0n4m3Oct 2, 2026
    CivitAI

    @WhyNaNWhenNyan Is it possible to use SSR merge on different models, i.e. Anima?

    WhyNaNWhenNyan
    Author
    Oct 2, 2026· 1 reaction

    Yes it is, this works with any set of LoRAs.

    N0n4m3Oct 2, 2026

    @WhyNaNWhenNyan Is there git hub project page or can You share / create tool that You vibe coded?

    WhyNaNWhenNyan
    Author
    Oct 2, 2026· 1 reaction

    https://github.com/frutiemax92/LoRAMergingTool
    I only did it for Krea 2, you can ask Claude to do the modifications for Anima.

    WhyNaNWhenNyan
    Author
    Oct 4, 2026· 1 reaction

    https://github.com/frutiemax92/ComfyUI-LoRA-SSR/tree/master
    This node should work with Anima, if it isn't, ping me.

    LORA
    Krea 2

    Details

    Downloads
    170
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/2/2026
    Updated
    10/7/2026
    Deleted
    -

    Files

    dc_fantastical_ssr_v1.safetensors

    Mirrors

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.