CivArchive
    Preview 112003050
    Preview 112004321
    Preview 112001948
    Preview 112007035
    Preview 112010223
    Preview 112010711
    Preview 112010780
    Preview 112010825
    Preview 112013737
    Preview 112013781
    Preview 112013845
    Preview 112014471
    Preview 112018355
    Preview 112018570
    Preview 112018667

    AfterDark for Z-Image Turbo & Flux.2 Klein

    This LoRA enhances your images with more punch, contrast, depth of field, and lighting. It's been trained on a mixture of photographic content with a focus on low-key, film noir, and fashion photography. It makes things pop without destroying image quality (in fact, it often enhances quality).

    Suggested Z-Image Turbo Settings
    Model strength: 0.3-0.8
    Samplers/schedulers:

    • seeds_3 / beta

    • ddim / kl_optimal (or beta)

    • dpm_2_ancestral / sgm_uniform (or ddim_uniform)

    Suggested Flux.2 Klein 9b Settings
    Model strength: 0.3-1.2
    Samplers:

    • res_multistep

    • sa_solver

    • seeds_3

    • er_sde

    • ddim

    • ...and so many more

    Distilled
    Cfg Scale: 1-1.5
    Steps: 8-10
    Base
    Cfg scale: 2.5-4
    Steps: 40-55

    This LoRA works with both Flux.2 Klein 9b base and distilled. I often use the distilled version because it generates images much faster and the quality is still really good.

    v2 LoRA Technical Details

    The Z-Image Turbo LoRA ended up with a loss value around 0.336 (this compares to v1 at around 0.71).

    The Flux.2 Klein 9B LoRA ended up with a loss value of 0.5129 (5.129e-01). It was a "low and slow" train with a low learning rate (5.0e-05) over 6,000 steps. This was much longer than the Z-Image Turbo LoRA's training, but I think it was worthwhile. I might use a more powerful GPU next time (I used an A40 for this one).


    A lot of training time went into these models followed by a lot of testing. I decided to keep the same model listing on Civitai simply because they were both trained from the exact same dataset (same images and captions). The training for the Klein version in ai-toolkit started off the same as the Z-Image one. I soon learned that wasn't going to work for Flux.2 Klein 9b so I adjusted the settings.

    Version 2 is very stable for both base models. In fact I find that I don't often like the distilled version of Klein 9b without this LoRA. Images are generally too bright for my taste and while you could apply a LUT or do post processing work on the images, I simply prefer to use this LoRA because it does more than just lighting.

    Description

    Initial version

    LORA
    ZImageTurbo

    Details

    Downloads
    945
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/7/2025
    Updated
    3/16/2026
    Deleted
    -
    Trigger Words:
    4ft3rd4rk